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Structural health monitoring (SHM) systems aim to detect damage occurrence in critical infrastructure(such as bridges, vital pipelines, aircrafts and sensitive storage tanks) and potentially inform the responsibleauthorities about location, nature and severity of this damage. The problem of damage identification and quantification has for long haunted and hindered the development of viable measures for structural surety. Coupled with AI based techniques, the targeted SHM systems are capable of relating the structural responses to patterns of structural performance with variable levels of damge or health. SHM systems are expected to be able to enhance structural safety and result in considerable future cost savings through early detection of the need for maintenance.

SHM RESEARCH
© 2004 Department of Civil Engineering, University of New Mexico
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