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Finite element analysis of vehicle–bridge interaction

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Abstract

This paper presents results of the finite element (FE) analysis of dynamic interaction between a heavy truck and a selected highway bridge on US 90 in Florida. FE analysis of vehicle–bridge interaction was conducted using commercial program LS-DYNA and the super computer at the Florida State University. Development and implementation of a detailed FE truck model with 3D suspension systems, pneumatic and rotating wheels, appropriate contact algorithms, allowed for realistic representation of the actual vehicle dynamic loading. Several static and dynamic field tests were performed on the same bridge. The experimental data was used for validation of the FE models of the bridge and the truck. Numerical results were found to match well with the experimental data. Results presented in the paper demonstrate a significant potential of using computational mechanics and LS-DYNA code for thorough investigation of the vehicle–bridge interaction, dynamic impact factors, and the ultimate loading of bridges.

Introduction

Nonlinear finite element (FE) methods are nowadays commonly used to solve engineering problems. One such engineering area is the efficient management of highway facilities, especially bridges, where the knowledge of actual dynamic load effects, load carrying capacity, and current condition is critical in making management decisions and in establishing permissible weight limits. Significant dynamic effects can be triggered by increasingly heavier vehicles, which are now used on our highways [1], [2]. Additional dynamic effects are accounted for by dynamic impact factors introduced in bridge design codes. The impact factor IM [13], also referred to as dynamic load allowance [20], is defined as a ratio of the dynamic increment (RD-RS) in structure response to the static response:IM=RD-RSRS100%,where RD is the dynamic response and RS the static response. There is a large number of studies on this topic including experimental impact factors, analytical methods and code specifications. Nowak and Kim conducted tests on two bridges over Huron River to study impact factors, distribution factors and development of lateral cracks in bridge decks [3]. Chowdhury and Ray performed a series of load tests on a continuous span, multi-girder steel bridge and a single span concrete T-beam bridge to quantify physical and structural behavior of bridges due to moving vehicles [4]. A two-lane highway bridge over the River Lodden at Lower Earley was selected for testing by Green and Cebon to validate their proposed analytical procedure [5]. More examples of experimental studies can also be found in [6]. These experiments show that bridges exhibit a wide range of structural, dynamic responses and resulting impact factors depend on several different parameters related to bridge and vehicle characteristics.

Field tests are still the most reliable source of information on bridge dynamic responses, and the only method of final validation of the FE analysis. However, the high cost of such experiments and difficulties with collecting extensive data from field tests lead to growing interest in analytical and computational methods. A reliable, analytical investigation can reduce such costs dramatically and allow for faster introduction of new design improvements and maintenance decisions.

The analytical investigation of bridge dynamic response is based on numerous simplifications of its geometry, material models, boundary conditions, and loading. The interaction between a vehicle and bridge structure is usually reduced in analyses to a simplified mass–spring–damper system crossing a beam or grillage including road surface roughness [7], [8], [9], [10], [11], [12]. Current bridge design codes present some formulas estimating the dynamic effects [13], [14]. However, these formulas are oversimplified and, in many cases, are questioned by engineers [15].

An FE analysis by an explicit, dynamic computer program was used in this research to study dynamic response of medium span (20–30 m long) highway bridges subjected to moving vehicles. The paper describes comprehensive research efforts focused on development of the FE models of the selected highway bridge and the vehicle, computational mechanics study of vehicle–bridge interaction, and validation of the FE models using the field test results.

Section snippets

Description of the modeled bridge

The selected bridge #500133 was built in 1999 on US 90 over Mosquito Creek in Northwestern Florida. It is a three-span bridge, carrying two lanes of traffic. The total length of the bridge is 65.1 m, with each span 21.7 m long and 14.15 m wide. Each span consists of six AASHTO type III prestressed simply supported girders at a spacing of 2.4 m. The continuous concrete deck (slab) was cast in situ. The design traffic lane live load was AASHTO HS-20 truck and the design speed was 100 km/h. The entire

Field test

Static and dynamic tests were conducted on the bridge. Two trucks loaded with 12 concrete blocks each (Fig. 5) were used for loading. The front, drive, and rear axle loads were 50 kN (11.24 kip), 100 kN (22.48 kip) and 169 kN (38.0 kip), respectively. The total weight was approximately 319 kN (71.7 kip), which is close to the 325 kN (73.1 kip) as specified by AASHTO standard specifications for the HS 20–44 truck [13].

The static test results were used to determine the wheel load distribution factors for

Development of FE bridge model

The FE model of one span includes all five structural components: the slab, six beams, bridge barriers, diaphragms, and neoprene pads. Fig. 3 shows a cut-away segment of the FE model for one span. Concrete parts of the bridge are built of fully integrated solid elements with eight or six nodes. All rebars and strands are modeled using 1D bar elements with nodes coinciding with corresponding nodes of the solid elements. The locations of some rebars in the FE model were slightly realigned

Validation of FE models

Validation of all FE models was based on comparison between numerical results and experimental data of displacements, strains, and accelerations recorded during the field test [17].

Verification of static response of the bridge is the most common validation method. Design values of concrete from the construction documentation were initially used in FE analysis. Analytical results of strain were found to be higher than experimental readings for static loading (see Fig. 8), which indicated that

Numerical and experimental analysis of vehicle–bridge interaction

Both the truck and the bridge models were also validated by comparison of the numerically predicted bridge response subjected to the moving trucks with corresponding experimental results [17]. During the field test and subsequent inspections, a distinct approach depression varying from 10 to 15 mm before the bridge (Fig. 11) was found. This threshold in the road profile triggered significant truck–bridge system vibration especially at higher speed. An impact factor as high as 83% resulted from

Summary and conclusions

A common, multigirder concrete bridge with short span located in Northwest Florida was studied using FE analysis, verified by static and dynamic field tests. LS-DYNA commercial code was used and detailed 3D models of the truck and the bridge were developed to conduct the FE analysis of the vehicle–bridge interaction. It appears, based on extensive literature review, that no explicit, nonlinear FE code has ever been used for such dynamic bridge analysis before. This paper shows the application

Acknowledgements

The study reported in this paper is supported by a grant from the Florida Department of Transportation titled: “Analytical and Experimental Evaluation of Existing Florida DOT Bridges”, contract No. BD 493. The authors would like to express their appreciation for this generous support. Opinions and views expressed in this paper are those of the authors and not necessarily those of the sponsoring Agency. The field tests were professionally performed by the Structures Lab of FDOT. Thanks are due

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