Prediction of Load-Carrying Capacity in Steel Shear Wall with Opening Using Artificial Neural Network
The effects of different parameters on steel plate shear wall (SPSW) are investigated. The studied parameters are thickness of plate, location of the opening, thickness of diagonal stiffeners, and thickness of circular stiffener. Load-carrying capacity of the SPSW is studied under static load using...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2016-01-01
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Series: | Journal of Engineering |
Online Access: | http://dx.doi.org/10.1155/2016/4039407 |
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