Assessment of the Condition of a Beam Using a Static Loading Test

Brian J. Walsh; Arturo González

doi:10.4028/www.scientific.net/KEM.413-414.269

Paper Titles

Damage Assessment of a Cracked Bar: Effect of Material Nonlinearity on Vibro-Impact Response
p.237

Enhanced Assessment of the Remaining Service Life of a Steel Railway Bridge
p.245

Numerical and Experimental Investigation of the Sensing Area of Piezoelectric Elements for Damage Detection with the E/M Impedance Method
p.253

Statistical Damage Detection in a Smart Structure under Different Temperatures via Vibration Testing: A Global Model Based Approach
p.261

Assessment of the Condition of a Beam Using a Static Loading Test
p.269

A Review on Advances of Damage Identification Methods Based on Vibration
p.277

Studies on Wavelet Packet-Based Crack Detection for a Beam under the Moving Load
p.285

Development of Many-Angular Pin Type Load Cell for a Overload Limiter of a Movable Crane
p.291

Spur Gear Crack Propagation Assessment Using Model-Based Analysis and Simulation
p.299

HomeKey Engineering MaterialsKey Engineering Materials Vols. 413-414Assessment of the Condition of a Beam Using a...

Assessment of the Condition of a Beam Using a Static Loading Test

Abstract:

This paper presents a novel approach for structural damage detection. The cross-entropy method is used to estimate the structural parameters of a simply supported beam from its response to a static load consisting of a heavy vehicle. Various states of beam damage are modelled through local reductions in flexural rigidity. The proposed method estimates the distribution of stiffness throughout the beam using the deflections due to a heavy load located on the beam. Parameters such as initial distribution values, structural model, number of readings and sample size are varied to assess their influence on the prediction of the damage severity and its location.

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Periodical:

Key Engineering Materials (Volumes 413-414)

Pages:

269-276

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.413-414.269

Citation:

Cite this paper

Online since:

June 2009

Authors:

Brian J. Walsh, Arturo González

Keywords:

Cross-Entropy Method, Damage Detection, System Identification

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