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-...

书目详细资料
主要作者:	Hajihassani, Mohsen
格式:	Thesis
语言:	英语
出版:	2013
主题:	TA Engineering (General). Civil engineering (General)
在线阅读:	http://eprints.utm.my/37932/1/MohsenHajihassaniPFKA2013.pdf

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