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Article

Optical-Fiber-Embedded Beam for Subgrade Distributed Settlement Monitoring: Experiments and Numerical Modeling

1
School of Highway, Chang’an University, South 2nd Ring Road Middle Section, Xi’an 710064, China
2
State Key Laboratory of Road Engineering Safety and Health in Cold and High-Altitude Regions, CCCC First Highway Consultants Co., Ltd., Second Ke Ji Road 63, Xi’an 710065, China
3
Qinghai Huashixia Permafrost Highway Engineering Safety National Observation and Research Station, Qinghai 813500, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(16), 9047; https://doi.org/10.3390/app13169047
Submission received: 29 June 2023 / Revised: 28 July 2023 / Accepted: 5 August 2023 / Published: 8 August 2023

Abstract

:
In this study, Brillouin optical time domain analysis (BOTDA) sensing technology was utilized for monitoring settlement in a similarity model of a highway subgrade. As contact winding cannot be used for an optical fiber that is buried directly in the soil, uncoupling between the fiber and the soil can occur. Thus, an optical-fiber-embedded beam (OFEB) was developed, and a method for measuring and calculating the beam’s deformation was proposed. A calibration test and a test on a similarity model of a subgrade were carried out to investigate the applicability and monitoring accuracy of the OFEB. It was concluded that the OFEB can accurately measure beam deflection, and the maximum relative error between measurements by the optical fiber and a displacement transducer was approximately 5%. The OFEB was embedded directly into a similarity model of a subgrade to monitor settlement. The deflection deformation of the OFEB was found to be close to the subgrade settlement over a certain settlement range, with a relative error below 8.1%. Thus, the OFEB can be used to measure large-range distributed settlement in a subgrade. A numerical simulation was performed to identify appropriate beam dimensions and material design parameters, thereby extending the measurement range before decoupling of the OFEB and the soil occurs. The enhancement of the measurement range and the accuracy of the OFEB based on the preliminary experiments carried out in this study enables further investigation of settlement monitoring.

1. Introduction

A subgrade is an important part of a road structure. Settlement is a prevalent issue often encountered in subgrade use that causes adverse effects on the stability and initial strength of the subgrade. Consequently, the strength and stability of the pavement are compromised, completely degrading the subgrade structure and minimizing driving safety and comfort. Unfavorable physical characteristics of the underlying soil layer and external load conditions make many special soil subgrades prone to large-scale continuous settlement and deformation, resulting in excessive long-term settlement after the completion of the embankment [1,2]. Temperature changes cause uneven lateral settlement of permafrost subgrades [3]. Long-term monitoring of subgrade settlement and related early warning strategies play a crucial role in preventing and controlling major disasters.
Conventional monitoring technologies for subgrade settlement, such as inclinometers, extensometers, total stations, global positioning systems, and static leveling systems, have been in use for a long time and are generally classified as “traditional point-based monitoring technologies” [4]. Emerging monitoring technologies include interferometric synthetic aperture radar (INSAR), digital image correlation (DIC), and terrestrial laser scanning (TLS). For wide-area monitoring, INSAR [5,6], TLS [7], and DIC [8] can achieve high-precision measurement over a wide range, reaching centimeter-level or even higher precision. However, these technologies are mainly used to measure the displacement of the outer surface of a subgrade or pavement structure. Because INSAR monitoring is limited by weather and blocked objects, ultrahigh resolution data are rarely obtained. TLS and DIC measurements have the advantages of a wide range, high precision, and a high acquisition speed, but continuous long-term uninterrupted observation is difficult to realize. The aforementioned traditional point-based monitoring techniques or quasidistributed fiber Bragg grating can monitor the dense internal deformation of a subgrade. However, a limited number of subgrade monitoring sections can be selected in advance, and monitoring blind spots are inevitable. Increasing the number of sensors results in a sharp increase in the complexity and cost of the system, which is not feasible for long-distance and large-scale monitoring [9]. The aforementioned problems have affected the ability to identify disaster risks in road engineering. Therefore, the development of automated technology for the real-time monitoring of distributed internal deformation in a subgrade would constitute a substantial advancement in the study of the early induction process and evolution mechanism of large-scale uneven settlement in a subgrade.
The distributed optical fiber sensor (DOFS) is such an alternative monitoring technology [10]. This novel monitoring technology has been developed over the last 20 years. Compared with electromechanical measurement, optical fiber sensing has the advantages of being safe, explosion-proof, resistant to corrosion and high temperatures, small, lightweight, flexible, and convenient to use; it is also able to prevent electromagnetic interference and it can realize remote signal transmission and measurement control. Since the first report on using Brillouin scattering in optical fibers to measure distributed temperature and strain [11], various distributed optical fiber monitoring technologies have been developed, such as the optical time domain reflectometry (OTDR), Brillouin optical time domain reflectometry (BOTDR), Brillouin optical time domain analysis (BOTDA), and optical frequency domain reflectometry (OFDR), resulting in considerable improvements in the sensing range and spatial resolution. OTDR is primarily used to measure ambient temperature, and its spatial resolution can reach about 1 cm [12]. BOTDR can be used in long-distance distributed sensing; however, it achieves a rough spatial resolution of 1 m [13]. In contrast, BOTDA is capable of achieving a spatial resolution of 2 cm by using a 2 km sensing optical fiber, and it exhibits a sensing range of up to 120 km [14,15]. Rayleigh scattering OFDR is capable of achieving spatial resolution at the millimeter scale [16].
Among all of the aforementioned DOFSs, BOTDA is currently the most extensively researched and utilized in the field of structural health monitoring owing to its relatively high spatial resolution at the centimeter scale [17]. This technology has been successfully applied in large-scale civil and structural engineering. The long sensing range of the DOFS has been fully exploited for bridge structure monitoring [18,19,20], the high spatial resolution of the DOFS has been utilized for pile foundation monitoring [21,22,23,24], and the DOFS has been applied to pavement structures with satisfactory results [25,26]. In addition to structural engineering, DOFSs are widely used in geotechnical engineering. For slope and mining engineering, the optical fiber is usually directly buried to ensure minimal deformation in the soil and to facilitate early disaster warning [27,28,29]. Direct burial installation is also adopted for monitoring large ground deformation [30,31,32], where optical fibers are attached to pipes, anchors, and other structures, and the strain measured in the optical fiber is converted to a displacement deformation commonly used in engineering [33,34,35]. Although the DOFS has been widely used in geotechnical engineering monitoring, ensuring deformation coupling between an optical fiber or affiliated structures and the soil constitutes a technical bottleneck. Excessive soil deformations may cause slippage between the optical fiber and the surrounding soil [36,37]. That is, if the optical fiber is buried directly into the soil, the DOFS is not suitable for measuring large soil deformations [38,39].
A distributed and reliable method for monitoring settlement is required to evaluate the safety of a subgrade or foundation. Therefore, ensuring coupling between an optical fiber and the soil to realize continuous monitoring of internal settlement is very important. A novel monitoring method based on an optical-fiber-embedded beam (OFEB) was developed in this study. First, the principle of differential pulse-width pair BOTDA (DPP- BOTDA) was introduced, followed by a testing mechanism and a measurement method based on the OFEB. Furthermore, the performance of the OFEB was evaluated using a simple calibration test and a test on a similarity model. Finally, numerical simulation was used to optimize the material and size parameters of the OFEB, and a method to improve the coupling between the OFEB and the soil was developed to increase the OFEB measurement range. The results show that the OFEB is suitable for subgrade distributed settlement monitoring and that the measurement result of the OFEB is basically consistent with the calibrated sensor test results, with the exception of large slippage between the subgrade soil and the OFEB.

2. Action Mechanism and Calibration of the Optical-Fiber-Embedded Beam (OFEB)

2.1. Principle of DPP-BOTDA

Herein, a distributed optical fiber strain monitor based on DPP-BOTDA technology was used [40]. Figure 1 shows the injection of two pump pulses of different widths (τ1, τ2) into the same test optical fiber. In addition, a differential Brillouin signal, I0τ), was obtained by subtracting the Brillouin signals I0(τ1) and I0 (τ2) before constructing the differential Brillouin gain spectrum. Two pump pulses with small widths can achieve high spatial resolution [19].
Figure 2 shows the schematic of the DPP-BOTDA system, where the laser module emits a laser with a wavelength of 1550 nm, which is split into two parts by a 3-dB coupler at the exit. A light beam was modulated using an electro-optical modulator (EOM), which was then amplified in the sensing fiber using an erbium-doped fiber amplifier (EDFA). Another light beam was modulated into a multifrequency light using an EOM containing an effective detecting light that differs from the original light frequency in the Brillouin frequency shift range. This light beam was then passed through the fiber Bragg grating filter, which effectively filters out the detecting light entering the sensing fiber segment. The two modulated laser beams then interact in the sensing fiber to generate stimulated Brillouin scattering, and the resulting Brillouin signal light, recorded by a high-speed capture card, is transformed into a digital signal by using a photoconverter. The detailed performance indicators of the designed instrument are listed in Table 1.

2.2. Test Principle of the Optical-Fiber-Embedded Beam

A 0.9 mm diameter single-mode tight-jacketed optical fiber was symmetrically embedded on the upper and lower surfaces of a flexible pipe to construct the OFEB, as shown in Figure 3a. The optical attenuation of the fiber is less than 0.3 dB/km (1550 nm). In addition, it exhibits a long-term 3 N mechanical tensile strength and a compressive strength of 10 N/10 cm, allowing it to adapt to the tension and compression states of the flexible pipe. Moreover, its ambient operating temperature range of −40 °C to 75 °C makes it ideal for most engineering environments.
As shown in Figure 3b, when the OFEB deforms with the subgrade soil, the vertical displacement of the subgrade manifests as a deflection of the OFEB. The deflection of the OFEB can be calculated by integrating the axial strain measured by an optical fiber. The computation is based on the bending deformation theory for a beam. Assuming the flexible pipe beam possesses elastic deformation, the deflection curve of the OFEB may then be determined by measuring the upper and lower surface strains, the beam curvature radius, and the beam deformation angle.
Figure 4 is a schematic of the deflection of the beam, which is expressed as ω = f(x). Assuming plane and small deformation of the beam section and considering the mechanical conditions under which deformation occurs and the definition of the curvature of the beam section, the curvature at any point in the beam can be expressed as follows:
1 ρ = ε a ε b / D 1 ρ = d s d θ = ω ( 1 + ω 2 ) 3 / 2 ω
where at any point of the beam, ρ is the radius of the curvature; εa and εb are the upper and lower surface strains, respectively; θ is the tangent angle; s is the arc length; ω′ is the slope of the tangent line; ω″ is the change rate of the slope; and D is the outside diameter of the beam.
Formula (1) can be used to deduce:
ω = 1 D ε a ε b d x d x + C 1 x + C 2
where C1 and C2 are the integration constants.
According to the boundary conditions on the beam shown in Figure 1,
x = 0 ,   w = 0 x = 0 ,   w = θ = 0
Thus, C1 = C2 = 0.
The beam deflection can be calculated as follows:
ω = 1 D ε a ε b d x d x
where ω is the deflection at any point of the beam.
According to Formula (4), the strains of the upper and lower surface fibers caused by ambient temperature have been eliminated in the process of calculating the subtraction. Thus, it is not necessary to perform temperature compensation for the OFEB.

2.3. Calibration Test

The accuracy of settlement measurements is very important. Thus, a calibration test was conducted to assess the measurement accuracy of the OFEB.
As shown in Figure 5a, the ends of the OFEB were consolidated on movable supports with an adjustable height to facilitate on-site installation. A displacement transducer was used to measure the beam deflection and to calibrate the measurements of the optical fiber. A 0.9 mm diameter single-mode tight-jacketed optical fiber was used as the sensor, and the beam body was a uniform and flexible high-density polyethylene (HDPE) pipe with an external diameter D of 25 mm and a thickness of 2.5 mm.
Figure 5b shows the photographic image of the calibration test. First, the OFEB was constructed: an optical fiber was laid symmetrically along the upper and lower surfaces of the HDPE pipe, coated with epoxy resin glue, and firmly bonded to the pipe. A 2.2 m length of the OFEB was used to perform a calibration test. An excessively long OFEB was not constructed to enable the calibration test to be carried out in the laboratory. Second, the OFEB was fixed to the support by being passed through an iron junction box filled with epoxy resin glue. The consolidation length at the end of the beam was removed to obtain an OFEB with an effective test length of 2 m for the calibration test.
A customized displacement transducer with a measurement range of 400 mm and a measurement accuracy of 0.1 mm was used in this study. Displacement transducers were arranged at one third and two thirds of the length of the OFEB (corresponding to the measurement points A and B shown in Figure 2, respectively). The top ends of the displacement transducers were connected to the OFEB through a ring clamp to control the settling rod to drive the OFEB to realize differential settlement. During the test, no settlement occurred at A, while five random settlement groups occurred at B. The settlement values were categorized from smallest to largest and assigned the names Tests 1 to 5.

2.4. Test Results

Figure 6 presents the fiber Brillouin frequency of five calibration tests. Based on Formula (4), the Brillouin frequency shift (BFS) is transformed into displacement changes at different positions.
Figure 7 shows the strain and displacement curves obtained for Tests 1 to 5. The upper and lower surface strains of the OFEB measured in different tests were generally symmetrically distributed, which is consistent with the mechanical characteristics of the beam unit under a point displacement load, indicating that the distributed optical fiber can accurately measure the strain at each point in the beam unit.
Figure 8 compares the measurements of the optical fiber and the displacement sensor for the five tests. The measured settlements at B in Tests 1, 2, 3, 4, and 5 were 9.7 mm, 15.5 mm, 22.4 mm, 54.9 mm, and 57.4 mm using the optical fiber, respectively, and 10.3 mm, 15.6 mm, 22.1 mm, 52.6 mm, and 55.1 mm using the displacement sensor, respectively. The relative error between the two measurement methods ranged from 0.6% to 5.8%; the test error can be mainly attributed to the manufacturing error of the OFEB and the deformation transfer error between the optical fiber and the pipe, which can be mitigated by factory manufacturing. The measured settlement at A ranged from 0.2 mm to 1.5 mm using the optical fiber and from 0.3 mm to 1.5 mm using the displacement transducer. Thus, the results at the measurement points A and B indicate that the embedded optical fiber can accurately measure the vertical deflection of the OFEB, therefore realizing the continuous distribution measurement of beam deflection.

3. Similarity Model Test of a Highway Subgrade

3.1. Model Design

A similarity model of a subgrade was designed to simulate the lateral differential settlement of the subgrade of the Gonghe–Yushu Expressway on the Qinghai–Tibet Highway. The engineering prototype was 12.25 m wide and 4 m high. A similarity ratio of 1:10 was used, thereby considering the geometric characteristics while neglecting the kinematic and dynamic characteristics of the prototype. That is, a settlement deformation of 20 mm in the similarity model corresponded to a settlement deformation of 20 cm in the prototype system. Figure 9 is a schematic of the similarity model of the subgrade, which had a height of 40 cm and a top surface with a width of 122.5 cm. A soil layer with a height of 130 cm below the subgrade was used to simulate the foundation. The soil was new loess with a maximum particle size below 0.5 mm.
The OFEB in the model test was also made of HDPE pipe, with an external diameter D of 25 mm. The two ends of the beam body were consolidated to minimize the effect of the end constraint effect. The OFEB within 25D–30D of the fixed supports on both sides was suspended. The effective test length of the OFEB used for the similarity model test was 3 m. Unlike in the calibration test, the upper and lower surfaces of the beam were protected by a flexible corner line against the action of the overlying soil load. As the longitudinal flexural stiffness of the corner line was very small, the influence of the corner line on the deflection deformation of the beam could be neglected. Figure 10 shows actual photographic images of the prototype.

3.2. Sensor Installation and Test Process

Herein, a drawstring displacement transducer was used (measuring range: 1000 mm, linearity: ±0.15%). A settlement plate was fixed at the end of the beam. Three settling plates (labeled A, B, and C) were placed 5 mm above the OFEB, and the transducer motors were fixed on the I-beam at the top of the subgrade model. Three observation poles (labeled 1, 2, and 3) were mounted on the top of a rubber balloon to reflect the dilation of the balloon. The rubber balloon was 1.5 m long and 50 cm in diameter. The transverse differential settlement of the subgrade model was realized by pumping air into the rubber balloon, which was buried at the bottom of the subgrade model. A suction pipe was placed on the left side of observation pole 1 and led from the burial position to the ground. The dilation of the rubber balloon was controlled by a vacuum pump. The test was conducted under three conditions. (1) Condition 1: the balloon was naturally exhausted to atmospheric pressure for 1 min and 30 s, and the settlement was allowed to stabilize over 1 h. (2) Condition 2: the air pump was operated for 1 min and 30 s, and the settlement was allowed to stabilize over 1 h. (3) Condition 3: the air pump was operated for 2 min, and the settlement was allowed to stabilize over 1 h.

3.3. Experimental Results and Analysis

Exhausting the rubber balloon during the test resulted in differential settlement at each position of the subgrade model. The OFEB deformed with the soil at the different positions. Figure 11 shows the strain and displacement curves obtained under the working conditions 1–3, and all the test results are presented in Table 2.
Table 2 and Figure 11 show that under working conditions 1 and 2, a very small subgrade settlement was measured by the drawstring displacement transducer and the OFEB. As the suction pipe was located on the left side of observation pole 1, the exhaust at observation pole 3 lagged behind that at observation poles 1 and 2. Thus, a “pressure arch” was created in the soil layer that supported the upper soil layer. After the rubber balloon was evacuated under Condition 3, the “pressure arch” in the soil layer could no longer support the overlying soil, and the upper layer suddenly collapsed. This sharp downward subsidence resulted in a large soil deformation. Table 2 presents the measurements obtained using the drawstring displacement transducer, indicating that the last subsidence was considerably larger at the settling plate A than at the settling plates B and C.
Figure 12a–c compares the measurements obtained using the optical fiber and drawstring displacement transducer under the three working conditions. The errors in the settlement measured by the optical fiber relative to the measurement by the drawstring displacement transducer were 2.9%, 2.8%, and 6.6% at Position C, 5.1%, 2.6%, and 4.8% at Position B, and 6.1%, 8.1%, and 37.4% at Position A. The errors at Positions B and C are acceptable and correspond to an OFEB measurement accuracy exceeding 93.4%. However, the OFEB measurement accuracy at Position A was considerably lower because settlement occurred at Position A before occurring at Positions B and C. Thus, uncoupling between the OFEB and the subgrade soil developed rapidly, especially when the soil foundation deformed to 125.3 mm, resulting in a large difference between the measurements obtained using the optical fiber and the drawstring displacement transducer. As the subgrade soil can slip on both sides of the OFEB, the deformation between the soil and OFEB was completely uncoupled. This result is confirmed by the photo of the field test shown in Figure 12d: the subgrade soil at settling plate A completely fell into the cavity of the rubber balloon, showing that the OFEB was only coupled with the soil over a certain settlement deformation range. The OFEB should have a wide measurement range to accurately measure subgrade settlement. As a limited number of tests were performed, the accurate measurement range of the OFEB was determined in the experiment as 0–89.77 mm, which corresponds to the measurement range for the actual scaled-up highway subgrade of 0–897.7 mm. Thus, the proposed method can meet the requirements for measuring large deformations of subgrades.
In conclusion, the calibration and model experiments show that the OFEB and the corresponding calculation method can measure subgrade settlement accurately within a certain measurement range. However, there are errors in the measurement of the subgrade settlement, the main sources of which are measurement errors from the OFEB itself, (such as those resulting from artificial error, the boundary constraint effect, and the OFEB bending stiffness), the beam–soil interface friction coefficient, and deformation transfer resulting from the uncoupling of the OFEB and the soil foundation. These errors can be minimized by optimizing the industrial manufacturing process of the OFEB; that is, by relaxing the end constraint to create simply supported beams or cantilever beams, optimizing the material and size parameters of the beam body, and enhancing interfacial friction.

4. Numerical Simulation Verification and Analysis

The coupling of the beam material, beam size parameters, and soil parameters, as well as the boundary conditions on the beam, make it difficult to determine the measurement range and accuracy of the OFEB. Thus, a numerical simulation was performed to investigate the coupling and coordinated deformation capacity of the beam and the soil. The optimal material and size parameters were determined to increase the coupling deformation capacity of the beam and the soil, and the applicability of the OFEB for measuring large-scale settlement and deformation of a subgrade was evaluated. A finite element analysis of the subgrade similarity model was carried out using ABAQUS. An analysis was performed to determine the influence of key design parameters for the shape and material of the pipe and the interfacial contact (as represented by the pipe diameter D, the elastic moduli E of the pipe and the soil, and the friction coefficient μ between the pipe and the soil) on the OFEB measurement range.

4.1. Numerical Model

The dimensions used in the subgrade similarity model test were also used in the numerical simulation. The natural ground soil was 3.5 m long, 1 m wide, and 1.6 m deep. Conversely, the subgrade soil exhibited a bottom width of 1.975 m, a top width of 1.225 m, and a height of 0.5 m. In addition, the HDPE pipe was 3 m long. The pipe and soil were considered to be in hard contact with the application of constraints perpendicular to the surface on the side of the model. Furthermore, the fixed constraints were applied to the ground, while the free constraints were applied to the subgrade slope. The cell death technique was used to simulate the gap at the bottom of the subgrade created by pumping the rubber balloon.
The soil used in the subgrade similarity model test was a near-surface loess. A strain softening/hardening constitutive equation was used in conjunction with the Mohr–Coulomb failure criterion, an internal friction angle of the soil of 20°, an expansion angle of 0°, and a cohesion of 0.5 MPa. HDPE is a nonlinear viscoelastic material. The material parameters of the soil and the pipe are listed in Table 3.
Simulations were performed using different HDPE pipe diameters (the ratio of the wall thickness to the pipe diameter was 1:10), elastic moduli of the pipe and the soil, and friction coefficients between the pipe and the soil. The working conditions considered in the simulation are shown in Table 4.

4.2. Numerical Results and Analysis

The maximum vertical displacement at the top of the span, the friction stress of the pipe–soil contact surface, and the maximum contact opening of the pipe–soil contact surface before the HDPE pipe enters the yield stage were analyzed under different working conditions. We considered the working condition C9 as an example. Figure 13 shows the plastic zone of the HDPE pipe, the friction stress of the contact surface, and the clearance distance of the pipe–soil contact surface before the point in the simulation when the calculation does not converge.
Figure 13a shows that the HDPE pipe first starts to yield at the junction of the subsidence area and the nonsubsidence area and eventually yields at the midspan position. Thus, the junction of the subsidence and nonsubsidence areas can be taken as the section of the pipe body over which yielding should be controlled. The maximum vertical displacement (MVD) over the span and the maximum contact opening (MCP) between the pipe and the soil surface before the HDPE pipe starts to yield were used to analyze the degree of coordinated deformation between the pipe and the soil. Figure 13b shows that the contact friction stress reaches a maximum in the yield control section and then gradually decreases to the midspan region. Figure 13c shows that there is a large clearance distance only in the yield control section within a small range at the top and bottom of the pipeline. As the contact stress and friction stress near the yield control section are relatively large, the junction between the subsidence and nonsubsidence areas is more likely to have a larger displacement. The clearance between the pipe and soil is very small at most positions, indicating that most sections of the pipe are in good contact with the soil mass and that the pipe deforms effectively with the soil mass.
Figure 14a shows the MVD and MCP before yielding under the working conditions C1–C9. The MVD decreases as the elastic modulus of the pipe increases. Thus, reducing the elastic modulus of the HDPE pipe can effectively increase the OFEB measurement range; however, the increase in the MCP weakens the coupling between the pipe and the soil and causes the control section of the pipe to enter the yield stage earlier. Although the displacement could be measured before the yield stage, the plastic yield section near the yield control section of the pipe would gradually increase in size and ultimately affect the deformation measurement accuracy at each position. Figure 14b shows the MVD and MCP before yielding under the working conditions C7, C10, and C11. As the elastic modulus of the soil increases, the MVD decreases and the MCP increases. Thus, increasing the elastic modulus of the soil has a limited effect on improving the deformation between the pipe and the soil.
The most suitable ratio of the elastic moduli (the pipe elastic modulus Eg normalized by the soil elastic modulus E0) under the optimal code formation condition was determined. Figure 15 shows the MVD and MCP before yielding versus the normalized elastic modulus.
At excessively small or large Eg values, the MVD exhibits an opposite trend in the normalized elastic modulus to the MCP. The coupling performance between the pipe and the soil is poor over a large measurement range. For moderate Eg values or small E0 values, the coupling between the pipe and the soil is good over a reasonable measurement range. The elastic modulus of a road bed after completion of construction is generally standardized controlled. As Eg is the main influence factor for the performance of the coupling between the pipe and the soil, it is recommended that the ratio between Eg and E0 be controlled to between 30 and 40.
Figure 16a shows the MVD and MCP before yielding under the working conditions C7 and C12–C19. The MVD increases with the friction coefficient μ. However, for μ larger than 0.3, the MVD changes very little with μ because the friction stress at the pipe–soil contact surface increases with the friction coefficient, such that the pipe tends to yield more easily at the junction between the subsidence and nonsubsidence areas. The MCP essentially remains constant as the friction coefficient increases, showing that modifying the friction coefficient has a limited effect on the contact opening between the pipe and the soil surface. Thus, it is recommended that a moderate friction coefficient be selected. Figure 16b shows the MVD and MCP before yielding under the working conditions C7 and C20–C23. As the pipe diameter D increases, the MVD increases and the MCP decreases. The pipe diameter affects the degree of coupling between the pipe and the soil because the smaller the pipe diameter, the lower the bending stiffness of the pipe body, making the HDPE pipe more likely to deform with the soil. However, as the system cost increases with the pipe diameter, increasing the pipe diameter is not a feasible strategy for improving the MVD. Thus, D = 25 or 32 mm is recommended.

5. Conclusions

An optical-fiber-embedded beam (OFEB) based on DPP-BOTDA technology was proposed in this study. The study results provide a theoretical and practical basis for the application of optical fiber sensing technology to monitor subgrade settlement. A model test and numerical simulation were carried out to assess the applicability and monitoring accuracy of the OFEB. The major conclusions are given below.
(1)
The results of a calibration test show that beam deflection can be accurately measured by the embedded optical fiber, where the relative error between the measurements of the optical fiber and a displacement transducer is approximately 5%. The OFEB can be used to make dense displacement measurements and is therefore suitable for monitoring large-scale settlement in a subgrade.
(2)
The results of a test on a subgrade similarity model test show that the OFEB can measure subgrade settlement and settlement variations before the subgrade soil slips or decouples from the beam. The relative error between the measurements of the optical fiber and the displacement transducer is less than 8.1%. The main sources of error are artificial error, the effect of the boundary constraint, and the pipe bending stiffness. However, the OFEB is not suitable for measuring large subgrade settlements.
(3)
A numerical simulation shows that the optimal ratio of the elastic moduli of the beam and soil lies between 30 and 40. The measurement range of the OFEB can be appropriately increased by selecting a small-diameter beam and by improving the coupling between the beam and the soil. Increasing the interfacial friction can only improve the beam–soil coupling performance to a limited extent.
Preliminary experiments based on finite fixed-point calibration were carried out in this study to assess the suitability and accuracy of the OFEB for monitoring subgrade settlement. The maximum measurement range was identified as 89.77 mm. Further studies are needed to verify the applicability of the OFEB for detecting realistically large subgrade settlements. The beam fabrication process could be mechanized to achieve “real optical fiber implantation”.

Author Contributions

Conceptualization, Z.L. and K.Y.; methodology, Z.L. and K.Y.; software, Z.L.; validation, Z.L. and L.-G.Z.; formal analysis, K.Y.; investigation, Z.L. and K.Y.; resources, L.-G.Z.; data curation, Z.L., K.Y. and L.-G.Z.; writing—original draft preparation, Z.L. and K.Y.; writing—review and editing, K.Y. and L.-G.Z.; visualization, Z.L., K.Y. and L.-G.Z.; supervision, L.-G.Z.; project administration, L.-G.Z.; funding acquisition, L.-G.Z. and K.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Shaanxi Province Technology Innovation Guidance Special Project, Grant No. 2021CGBX-38, the Second Tibetan Plateau Scientific Expedition and Research (STEP) Program, Grant No. 2019QZKK0905, and the CCCC Scientific and Technological Research Program, Grant No. 2020-ZJKJ-PTJS04, 2020-ZJKJ-QNCX09, 2020-ZJKJ-PTJS12.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available upon request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Feng, S.X.; Lei, H.Y. A settlement prediction model considering tidal loading and traffic loading of soft soil subgrade. Comput. Geotech. 2022, 144, 104639. [Google Scholar] [CrossRef]
  2. Zhao, H.Y.; Indraratna, B.; Ngo, T. Numerical simulation of the effect of moving loads on saturated subgrade soil. Comput. Geotech. 2021, 131, 103930. [Google Scholar] [CrossRef]
  3. Liu, X.L.; Chen, Y.X.; Meng, Q.L.; Song, J.B.; Zhang, X.M. Thaw settlement of runways in permafrost regions under aircraft load. Eur. J. Environ. Civ. Eng. 2023, 27, 500–518. [Google Scholar] [CrossRef]
  4. Bado, M.F.; Casas, J.R. A review of recent distributed optical fiber sensors applications for civil engineering structural health monitoring. Sensors 2021, 21, 1818. [Google Scholar] [CrossRef]
  5. Xing, X.M.; Chang, H.C.; Chen, L.F.; Zhang, J.H.; Yuan, Z.H.; Shi, Z.N. Radar interferometry time series to investigate deformation of soft clay subgrade settlement—A case study of Lungui Highway, China. Remote Sens. 2019, 11, 429. [Google Scholar] [CrossRef] [Green Version]
  6. Dai, K.; Liu, G.; Li, Z.; Ma, D.; Wang, X.; Zhang, B.; Tang, J.; Li, G. Monitoring highway stability in permafrost regions with X-band temporary scatterers stacking InSAR. Sensors 2018, 18, 1876. [Google Scholar] [CrossRef] [Green Version]
  7. Zhang, W.P. Application of 3D Laser Scanning in Deformation Detection of Qinghai-Tibet Highway Subgrade. Master’s Thesis, Chang’ an University, Xi’an, China, 2017. [Google Scholar]
  8. Min, Y.; Tao, J.; Ren, W. A high-precision online monitoring system for surface settlement imaging of railway subgrade. Measurement 2020, 159, 107707. [Google Scholar] [CrossRef]
  9. Zhu, H.H.; Shi, B.; Zhang, C.C. FBG-based monitoring of geohazards: Current status and trends. Sensors 2017, 17, 452. [Google Scholar] [CrossRef] [Green Version]
  10. Liu, J.; Wang, Y.; Lu, Y.; Wei, J.H.; Kanungo, D.P. Application of distributed optical fiber sensing technique in monitoring the ground deformation. J. Sens. 2017, 2017, 6310197. [Google Scholar] [CrossRef] [Green Version]
  11. Horiguchi, T.; Kurashima, T.; Tateda, M. Tensile strain dependence of Brillouin frequency shift in silica optical fibers. IEEE Photonics Technol. Lett. 1989, 1, 107–108. [Google Scholar]
  12. Tanner, M.G.; Dyer, S.D.; Baek, B.; Hadfield, R.H.; Woo Nam, S. High-resolution single-mode fiber-optic distributed Raman sensor for absolute temperature measurement using superconducting nanowire single-photon detectors. Appl. Phys. Lett. 2011, 99, 201110. [Google Scholar] [CrossRef]
  13. Uchida, S.; Levenberg, E.; Klar, A. On-specimen strain measurement with fiber optic distributed sensing. Measurement 2015, 60, 104–113. [Google Scholar] [CrossRef]
  14. Dong, Y.K. High-performance distributed Brillouin optical fiber sensing. Photonic Sens. 2021, 11, 69–90. [Google Scholar] [CrossRef]
  15. Dong, Y.K.; Zhang, H.Y.; Chen, L.; Bao, X.Y. 2 cm spatial-resolution and 2 km range Brillouin optical fiber sensor using a transient differential pulse pair. Appl. Opt. 2012, 51, 1229–1235. [Google Scholar] [CrossRef] [Green Version]
  16. Palmieri, L.; Schenato, L. Distributed optical fiber sensing based on Rayleigh scattering. Open Opt. J. 2013, 7, 104–127. [Google Scholar] [CrossRef]
  17. Barrias, A.; Casas, J.R.; Villalba, S. A review of distributed optical fiber sensors for civil engineering applications. Sensors 2016, 16, 748. [Google Scholar] [CrossRef] [Green Version]
  18. Glišić, B.; Posenato, D.; Inaudi, D. Integrity monitoring of an old steel bridge using fiber optic distributed sensors based on Brillouin scattering. In Proceedings of the Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security, San Diego, CA, USA, 20–22 March 2007. [Google Scholar]
  19. Xu, J.L.; Dong, Y.K.; Zhang, Z.H.; Li, S.L.; He, S.Y.; Li, H. Full scale strain monitoring of a suspension bridge using high performance distributed fiber optic sensors. Meas. Sci. Technol. 2016, 27, 124017. [Google Scholar] [CrossRef]
  20. Ye, C.; Butler, L.J.; Elshafie, M.Z.; Middleton, C.R. Evaluating prestress losses in a prestressed concrete girder railway bridge using distributed and discrete fibre optic sensors. Constr. Build. Mater. 2020, 247, 118518. [Google Scholar] [CrossRef]
  21. Seo, H. Monitoring of CFA pile test using three dimensional laser scanning and distributed fiber optic sensors. Opt. Lasers Eng. 2020, 30, 106089. [Google Scholar] [CrossRef]
  22. Kania, J.G.; Sorensen, K.K.; Fellenius, B.H. Application of distributed fibre optic cables in piles. Geotech. Eng. 2020, 51, 94–102. [Google Scholar]
  23. Xu, D.S.; Yin, J.H.; Liu, H.B. A new measurement approach for deflection monitoring of large-scale bored piles using distributed fiber sensing technology. Measurement 2018, 117, 444–454. [Google Scholar] [CrossRef]
  24. Gao, L.; Han, C.; Xu, Z.Q.; Jin, Y.J.; Yan, J.Q. Experimental study on deformation monitoring of bored pile based on BOTDR. Appl. Sci. 2019, 9, 2435. [Google Scholar] [CrossRef] [Green Version]
  25. Wang, H.P.; Xiang, P.; Jiang, L.Z. Optical Fiber Sensor Based In-Field Structural Performance Monitoring of Multilayered Asphalt Pavement. J. Light. Technol 2018, 36, 3624–3632. [Google Scholar] [CrossRef]
  26. Rabaiotti, C.; Hauswirth, D.; Fischli, F.; Facchini, M.; Puzrin, A. Structural health monitoring of airfield pavements using distributed fiber-optics sensing. In Proceedings of the 4th Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures (SMAR 2017), Zürich, Switzerland, 13–15 September 2017. [Google Scholar]
  27. Schenato, L.; Camporese, M.; Bersan, S.; Cola, S.; Galtarossa, A.; Pasuto, A.; Palmieri, L. High density distributed strain sensing of landslide in large scale physical model. In Proceedings of the 25th International Conference on Optical Fiber Sensors, Jeju, Republic of Korea, 24–28 April 2017. [Google Scholar]
  28. Zhang, D.; Wang, J.C.; Zhang, P.S.; Shi, B. Internal strain monitoring for coal mining similarity model based on distributed fiber optical sensing. Measurement 2017, 97, 234–241. [Google Scholar] [CrossRef]
  29. Chai, J.; Lei, W.; Du, W.; Yuan, Q.; Zhu, L.; Zhang, D.; Li, H. Experimental study on distributed optical fiber sensing monitoring for ground surface deformation in extra-thick coal seam mining under ultra-thick conglomerate. Opt. Fiber Technol. 2019, 53, 102006. [Google Scholar] [CrossRef]
  30. Wu, J.H.; Shi, B.; Cao, D.F.; Jiang, H.T.; Wang, X.F.; Gu, K. Model test of soil deformation response to draining-recharging conditions based on DFOS. Eng. Geol. 2017, 226, 107–121. [Google Scholar] [CrossRef]
  31. Zhang, C.C.; Shi, B.; Gu, K.; Liu, S.P.; Wu, J.H.; Zhang, S.; Wei, G.Q. Vertically distributed sensing of deformation using fiber optic sensing. Geophys. Res. Lett. 2018, 45, 11732–11741. [Google Scholar] [CrossRef]
  32. Liu, J.; Song, Z.Z.; Lu, Y.; Bai, Y.X.; Qian, W.; Kanungo, D.P.; Chen, Z.H.; Wang, Y. Monitoring of vertical deformation response to water draining–recharging conditions using BOFDA-based distributed optical fiber sensors. Environ. Earth Sci. 2019, 78, 406. [Google Scholar] [CrossRef]
  33. Meng, S.J.; Sun, Y.Q.; Wang, M. Fiber Bragg grating sensors for subgrade deformation monitoring in seasonally frozen regions. Struct. Control Health Monit. 2020, 27, e2472. [Google Scholar] [CrossRef]
  34. Cheng, Y.K.; Shi, Z.W. Permanent Deformation and Temperature Monitoring of Subgrades Using Fiber Bragg Grating Sensing Technology. J. Sens. 2021, 2021, 8824058. [Google Scholar] [CrossRef]
  35. Zhang, D.Q.; He, J.P.; Xue, Y.; Xu, J.; Xu, X.J. Investigation of settlement monitoring method based on distributed Brillouin fiber optical sensor. Measurement 2019, 134, 118–122. [Google Scholar] [CrossRef]
  36. Wu, H.; Zhu, H.H.; Zhang, C.C.; Zhou, G.Y.; Zhu, B.; Zhang, W.; Azarafza, M. Strain integration-based soil shear displacement measurement using high-resolution strain sensing technology. Measurement 2020, 166, 108210. [Google Scholar] [CrossRef]
  37. Liu, S.P.; Gu, K.; Zhang, C.C.; Shi, B. Experimental research on strain transfer behavior of fiber-optic cable embedded in soil using distributed strain sensing. Int. J. Geomech. 2021, 21, 04021190. [Google Scholar] [CrossRef]
  38. Zhang, D.; Xu, Q.; Bezuijen, A.; Zheng, G.; Wang, H.X. Internal deformation monitoring for centrifuge slope model with embedded FBG arrays. Landslides 2017, 14, 407–417. [Google Scholar] [CrossRef] [Green Version]
  39. Zhang, C.C.; Zhu, H.H.; Shi, B. Role of the interface between distributed fibre optic strain sensor and soil in ground deformation measurement. Sci. Rep. 2016, 6, 36469. [Google Scholar] [CrossRef] [Green Version]
  40. Dong, Y.K.; Bao, X.Y.; Li, W.H. Differential Brillouin gain for improving the temperature accuracy and spatial resolution in a long-distance distributed fiber sensor. Appl. Opt. 2009, 48, 4297–4301. [Google Scholar] [CrossRef]
Figure 1. Principle of the DPP-BOTDA sensing system. CW: continuous wave; SBS: stimulated Brillouin scattering; BGS: Brillouin gain spectrum; τ: pulse width; I0(τ): Brillouin signal; Δz: spatial resolution; v: Brillouin frequency shift.
Figure 1. Principle of the DPP-BOTDA sensing system. CW: continuous wave; SBS: stimulated Brillouin scattering; BGS: Brillouin gain spectrum; τ: pulse width; I0(τ): Brillouin signal; Δz: spatial resolution; v: Brillouin frequency shift.
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Figure 2. Schematic of the DPP-BOTDA system. PC: polarization controller; EOM: electro-optic modulator; DC: DC power supply; AFG: arbitrary function generator; EDFA: erbium-doped fiber amplifier module; PD: photo-detector; DAQ: data acquisition.
Figure 2. Schematic of the DPP-BOTDA system. PC: polarization controller; EOM: electro-optic modulator; DC: DC power supply; AFG: arbitrary function generator; EDFA: erbium-doped fiber amplifier module; PD: photo-detector; DAQ: data acquisition.
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Figure 3. (a) Setup and (b) working principle of the OFEB.
Figure 3. (a) Setup and (b) working principle of the OFEB.
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Figure 4. Schematic showing how the beam deflection is calculated.
Figure 4. Schematic showing how the beam deflection is calculated.
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Figure 5. Calibration of the OFEB deflection measurement: (a) schematic and (b) photographic image.
Figure 5. Calibration of the OFEB deflection measurement: (a) schematic and (b) photographic image.
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Figure 6. The Brillouin frequency shift measured in five calibration tests.
Figure 6. The Brillouin frequency shift measured in five calibration tests.
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Figure 7. Figure 7. The distribution of the strain and displacement measured in five calibration tests: (a) Test 1; (b) Test 2; (c) Test 3; (d) Test 4; and (e) Test 5.
Figure 7. Figure 7. The distribution of the strain and displacement measured in five calibration tests: (a) Test 1; (b) Test 2; (c) Test 3; (d) Test 4; and (e) Test 5.
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Figure 8. Comparison of the measurements made using the OFEB and the displacement transducer.
Figure 8. Comparison of the measurements made using the OFEB and the displacement transducer.
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Figure 9. The similarity model of the subgrade and the sensor layout.
Figure 9. The similarity model of the subgrade and the sensor layout.
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Figure 10. Actual photographic images of the prototype.
Figure 10. Actual photographic images of the prototype.
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Figure 11. Distributions of the strain and displacement under conditions (a) 1, (b) 2, and (c) 3.
Figure 11. Distributions of the strain and displacement under conditions (a) 1, (b) 2, and (c) 3.
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Figure 12. Comparison of the measurements obtained using the OFEB and drawstring displacement transducer at Positions (a) C, (b) B, and (c) A, as well as (d) photograph taken during the experiment.
Figure 12. Comparison of the measurements obtained using the OFEB and drawstring displacement transducer at Positions (a) C, (b) B, and (c) A, as well as (d) photograph taken during the experiment.
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Figure 13. Numerical simulation results obtained under the working condition C9: (a) equivalent plastic strain; (b) frictional shear force; and (c) contact opening.
Figure 13. Numerical simulation results obtained under the working condition C9: (a) equivalent plastic strain; (b) frictional shear force; and (c) contact opening.
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Figure 14. MVD and MCP versus the elastic modulus of (a) the pipe and (b) the soil.
Figure 14. MVD and MCP versus the elastic modulus of (a) the pipe and (b) the soil.
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Figure 15. The MVD and MCP versus the normalized elastic modulus.
Figure 15. The MVD and MCP versus the normalized elastic modulus.
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Figure 16. MVD and MCP versus (a) the friction coefficient and (b) the pipe diameter.
Figure 16. MVD and MCP versus (a) the friction coefficient and (b) the pipe diameter.
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Table 1. Performance indicators of the designed instrument.
Table 1. Performance indicators of the designed instrument.
ItemIndicatorsItemIndicators
Instrument functionTemperature, strainSpatial resolution5 cm
Operating wavelength1550 nmSensing distance5 km
Frequency domain10–13 GHzAccuracy1 °C/5 µε
Frequency step1 MHz (min)Measuring time2 s to a few minutes
Sample interval2.5 cm (min)Sensing fiber typeSM/PM fiber
Range of strain−15,000–15,000 μεConnector typeFC/APC
Table 2. Summary of the test results.
Table 2. Summary of the test results.
SensorTest Settlement (mm)
Condition 1Condition 2Condition 3
Observation Pole 1134489489
Drawstring A9.5614.75125.3
Optic Fiber at Position A10.1415.9478.48
Observation Pole 2138491491
Drawstring B9.6715.5289.77
Optic Fiber at Position B9.1816.2692.09
Observation Pole 344254490
Drawstring C7.169.9350.05
Optic Fiber at Position C6.9510.5951.45
Table 3. Parameters used in the numerical simulation.
Table 3. Parameters used in the numerical simulation.
MaterialDensity ρ
(kg/m3)
Elasticity Modulus E
(MPa)
Poisson’s Ratio λInitial Yield Stress σy
(MPa)
HDPE809508000.4515.85
Near-surface loess1900200.37/
Table 4. Working conditions used for numerical simulation.
Table 4. Working conditions used for numerical simulation.
ConditionPipe Elastic Modulus Eg
(MPa)
Soil Elastic Modulus E0
(MPa)
Friction Coefficient μPipe Diameter D
(mm)
C1–C9200–1000
(Step size 100)
200.450
C10–C1180010 and 150.450
C12–C19800200.1–0.9 (step size 0.1)50
C20–C23800200.440, 32, 25, and 20
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Li, Z.; Yuan, K.; Zhao, L.-G. Optical-Fiber-Embedded Beam for Subgrade Distributed Settlement Monitoring: Experiments and Numerical Modeling. Appl. Sci. 2023, 13, 9047. https://doi.org/10.3390/app13169047

AMA Style

Li Z, Yuan K, Zhao L-G. Optical-Fiber-Embedded Beam for Subgrade Distributed Settlement Monitoring: Experiments and Numerical Modeling. Applied Sciences. 2023; 13(16):9047. https://doi.org/10.3390/app13169047

Chicago/Turabian Style

Li, Zhen, Kun Yuan, and Li-Guo Zhao. 2023. "Optical-Fiber-Embedded Beam for Subgrade Distributed Settlement Monitoring: Experiments and Numerical Modeling" Applied Sciences 13, no. 16: 9047. https://doi.org/10.3390/app13169047

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