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Proceedings Paper

Damage estimation method using committee of neural networks
Author(s): Chung Bang Yun; Jong Won Lee; Jae Dong Kim; Kyung Won Min
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Paper Abstract

The committee technique for neural networks has been widely used for pattern recognitions in speech and vision studies. In this study, the committee technique is applied to damage estimation of structures for the purpose of structural health monitoring. The input to the neural networks consists of the modal parameters, and the output is composed of the element-level damage indices. Multiple neural networks are constructed and each individual neural networks is trained independently with different initial synaptic weights. Then, the estimated damage indices from different neural networks are averaged. Several committee methods were investigated and used to estimate the element-level damage locations and severities. The validity of the committee technique for damage estimation was examined on a frame structure through numerical simulation. Then experiments were carried out on a bridge model with a composite cross section subjected to vehicle loadings. It has been found that the estimated damage indices improve significantly by employing the committee technique.

Paper Details

Date Published: 1 August 2003
PDF: 12 pages
Proc. SPIE 5047, Smart Nondestructive Evaluation and Health Monitoring of Structural and Biological Systems II, (1 August 2003); doi: 10.1117/12.484441
Show Author Affiliations
Chung Bang Yun, Korea Advanced Institute of Science and Technology (South Korea)
Jong Won Lee, Korea Institute of Machinery and Materials (South Korea)
Jae Dong Kim, Korea Institute of Machinery and Materials (South Korea)
Kyung Won Min, Dankook Univ. (South Korea)


Published in SPIE Proceedings Vol. 5047:
Smart Nondestructive Evaluation and Health Monitoring of Structural and Biological Systems II
Tribikram Kundu, Editor(s)

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