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

• Main Author: Hajihassani, Mohsen
• Format: Thesis
• Language: English
• Published: 2013
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/37932/1/MohsenHajihassaniPFKA2013.pdf; http://eprints.utm.my/id/eprint/37932/

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-...