Novel Data Analytics for Developing Sensitive and Reliable Damage Indicators in Structural Health Monitoring

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Novel Data Analytics for Developing Sensitive and Reliable Damage Indicators in Structural Health Monitoring

This thesis focuses on developing novel data analytics and damage detection methods that are applicable to the condition assessment of civil engineering structures subjected to operational and environmental condition changes, nonlinearity and/or measurement noise. Comprehensive numerical and experim...

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Bibliographic Details
Main Author:	Peng, Zhen
Format:	Thesis
Published:	Curtin University 2022
Online Access:	http://hdl.handle.net/20.500.11937/89064

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