Prediction of building damage induced by tunnelling through an optimized artificial neural network
Ground surface movement due to tunnelling in urban areas imposes strains to the adjacent buildings through distortion and rotation, and may consequently cause structural damage. The methods of building damage estimation are generally based on a two-stage procedure in which ground movement in the gre...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
Springer London
2019
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047161551&doi=10.1007%2fs00366-018-0615-5&partnerID=40&md5=4e9c58609aa02661f6811a269626fd58 http://eprints.utp.edu.my/21567/ |
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