Machine learning for combinatorial optimization of brace placement of steel frames

Machine learning for combinatorial optimization of brace placement of steel frames

Abstract A method is presented for optimal placement of braces of plane frames using machine learning. The frame is subjected to static horizontal loads representing seismic loads. We consider the process of seismic retrofit by attaching braces. Therefore, the maximum value of additional stresses in...

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Bibliographic Details
Main Authors: Takuya Tamura, Makoto Ohsaki, Jiro Takagi
Format: Article
Language:English
Published: Wiley 2018-10-01
Series:Japan Architectural Review
Subjects:
binary decision tree
braced frame
machine learning
optimization
simulated annealing
support vector machine
Online Access:https://doi.org/10.1002/2475-8876.12059

Internet

https://doi.org/10.1002/2475-8876.12059

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