Tunneling-induced ground movement and building damage prediction using hybrid artificial neural networks

Tunneling-induced ground movement and building damage prediction using hybrid artificial neural networks

The construction of tunnels in urban areas may cause ground displacement which distort and damage overlying buildings and services. Hence, it is a major concern to estimate tunneling-induced ground movements as well as to assess the building damage. Artificial neural networks (ANN), as flexible non-...

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書目詳細資料
主要作者:	Hajihassani, Mohsen
格式:	Thesis
語言:	English
出版:	2013
主題:	TA Engineering (General) Civil engineering (General)
在線閱讀:	http://eprints.utm.my/id/eprint/37932/1/MohsenHajihassaniPFKA2013.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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