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| An analysis of the importance of structural earthquake demand based on random forest and least angle regression |
| WANG Xiuzhen1，QIAN Yongjiu1，SONG Shuai2 |
1. Civil Engineering School，Southwest Jiaotong University, Chengdu 610031, China;
2.School of architecture and civil engineering, Taiyuan University of Technology，Taiyuan 030024, China |
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Abstract The nonlinear time history analyses of a reinforced concrete frame structure with viscous dampers under El Centro seismic wave were performed by OpenSEES software.The effect of damping coefficient and stiffness of viscous dampers,elastic modulus and yield strength of steel bars,damping ratio,compressive strength and elastic modulus of concrete and structure quality were considered.Three kinds of earthquake demand for reinforced concrete frame structures with viscous dampers were obtained respectively,namely,top displacement,the most story drift angle,and base shear.The application of random forest algorithm and least angle regression algorithm to the analysis of the importance of structural earthquake demand was proposed.The importance ranking to the three kinds of earthquake demand of each input random variable was obtained.The results were compared with the Monte-Carlo numerical simulation method.The results of structural seismic demand importance measure method based on random forest algorithm and least angle regression algorithm were basically the same as the Monte-Carlo numerical simulation method.These two methods are accurate and efficient,which can greatly reduce the number of samples.
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Received: 14 March 2018
Published: 15 February 2019
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