Structural damage detection of steel bridge girder using artificial neural networks and finite element models
Damage in structures often leads to failure. Thus it is very important to monitor structures for the occurrence of damage. When damage happens in a structure the consequence is a change in its modal parameters such as natural frequencies and mode shapes. Artificial Neural Networks (ANNs) are inspire...
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2013
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| Online Access: | http://eprints.um.edu.my/9053/ http://www.scopus.com/inward/record.url?eid=2-s2.0-84876835623&partnerID=40&md5=d8f8ef7ab73f99a132d0b42dad1028ec http://www.koreascience.or.kr/article/ArticleFullRecord.jsp?cn=KJKHEW₂₀₁₃v14n4₃₆₇ |
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