Damage detection in beams based on redistribution of dead load

Harry W. Shenton III; Xiaofeng Hu

doi:10.1117/12.435581

3 August 2001 Damage detection in beams based on redistribution of dead load

Harry W. Shenton III, Xiaofeng Hu

Proceedings Volume 4337, Health Monitoring and Management of Civil Infrastructure Systems; (2001) https://doi.org/10.1117/12.435581
Event: 6th Annual International Symposium on NDE for Health Monitoring and Diagnostics, 2001, Newport Beach, CA, United States

Abstract

A method is presented for detecting damage in a clamped-clamped beam based on redistribution of dead load in the member. The approach is based on measuring static strains due to dead load only, at three locations on the beam. In the event of damage (modeled as a local reduction in flexural stiffness at a single location in the beam) the bending moment in the beam redistributes and is no longer symmetric. Using the measured strains, a genetic optimization algorithm is used to determine the location and severity of damage in the beam. Four different damage scenarios are tested, these include: no damage (to test for false positive results); varying levels of damage near mid-span; equal levels of damage near the support, quarter point and mid-span; and damage near the support with 'noisy' measurement data. The technique is found to work well under a broad range of circumstances: the accuracy and success of the method depends on the damage location and the level of measurement noise in the data. Damage near the support and center of the beam can be identified with good accuracy. As one might expect, damage at or near to the point of inflection in the beam is more difficult to identify because the dead load strain in this vicinity is small. The technique is found to work well even with measurement noise on the order of 3 to 5%.

Citation Download Citation

Harry W. Shenton III and Xiaofeng Hu "Damage detection in beams based on redistribution of dead load", Proc. SPIE 4337, Health Monitoring and Management of Civil Infrastructure Systems, (3 August 2001); https://doi.org/10.1117/12.435581

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