Can I read Structural Monitoring System Based on Sensitivity Analysis and a Neural Network on EtoBox?

Structural Monitoring System Based on Sensitivity Analysis and a Neural Network by Sang‐Hyo Kim; Chongyul Yoon; Byoung‐Jin Kim is a Engineering article available to read on EtoBox.

What is Structural Monitoring System Based on Sensitivity Analysis and a Neural Network about?

A design procedure for a structure's monitoring system using sensitivity analysis and a neural network is developed. The monitoring system is to be used to monitor damage to members critically affecting the overall safety of structures. Recently, many techniques for evaluating the damage of isolated members and models of simple structures have been investigated. However, actual structures are large, and their complex behavior may not be based on damage of isolated members or their simple models. To monitor large structures realistically, structures' data on behavior at many points need to be monitored. Identifying the optimal locations and numbers of these monitoring points and assessing the safety of the entire structure from the limited data are the monitoring system design problem. The procedure presented for this design problem is a two‐step process. In the first step, using sensitivity analysis and damage‐assessment techniques, individual members are ranked according to their influence on the failure probability of the entire structure or according to their effect on the abnormal behavior of the structure. Based on the rank, critical members are identified. In the second step,

Who reads Structural Monitoring System Based on Sensitivity Analysis and a Neural Network?

Author

Sang‐Hyo Kim; Chongyul Yoon; Byoung‐Jin Kim

Publisher

Wiley

Published

2000

Language

EN

Field

Engineering (Physical Sciences)