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-...
محفوظ في:
المؤلف الرئيسي: | Hajihassani, Mohsen |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2013
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/37932/1/MohsenHajihassaniPFKA2013.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Tunnel induced ground movement
بواسطة: Ismail, Nursyakirah
منشور في: (2021) -
Controlling tunnel induced ground surface and pile movements using micropiles
بواسطة: Sohaei, Houman
منشور في: (2017) -
Multistage artificial neural network in structural damage detection
بواسطة: Goh, Lyn Dee
منشور في: (2015) -
Vibration based damage detection using artificial neural network
بواسطة: Low, Tian Hock
منشور في: (2010) -
Seismic damage identification based on integrated artificial neural networks and wavelet transforms
بواسطة: Vafaei, Mohammadreza
منشور في: (2013)