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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Détails bibliographiques
Auteur principal:	Hajihassani, Mohsen
Format:	Thèse
Langue:	anglais
Publié:	2013
Sujets:	TA Engineering (General). Civil engineering (General)
Accès en ligne:	http://eprints.utm.my/37932/1/MohsenHajihassaniPFKA2013.pdf

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