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基于均匀变形和混合智能算法的框架结构抗震优化设计

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Abstract If the structural story drifts are equal when a frame is subjected to earthquake, the occurrence of weak story and concentrated damage can be avoided, and the overall seismic performance can be improved in an all-round way.It has great theoretical and engineering significance to optimize the seismic design according to above object, but the relevant theoretical and regular research is not intensive.In view of the shortcomings of the low efficiency of present structural optimization algorithms, a hybrid intelligent algorithm based on differential evolution algorithm and particle swarm optimization algorithm was proposed, and the structural optimization calculation process was given.For a bend-shear frame structure, the optimization objective is to ensure equal interlayer displacement, the story stiffness was optimal designed based on the hybrid intelligent algorithm, and the optimal distribution of floor stiffness was obtained.On this basis, the influence of the randomness of ground motion and the stiffness ratio of beam and column to the optimization results and the distribution of stiffness was studied.The polynomial function of the optimal stiffness ratio of the floor and the ratio of the equivalent optimum cross section size was established.By comparing with the existing research results, it is verified that the established empirical function has high accuracy, and an accurate and effective reference basis for the optimization design for uniform deformation is provided and the calculation efficiency is improved.

Key words： structural optimization optimal stiffness distribution uniform damage bend-shear structure intelligent algorithm

Received: 27 September 2018 Published: 15 February 2020

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	Articles by authors
	HE Haoxiang
	WANG Wentao
	WU Shan

Cite this article:

HE Haoxiang,WANG Wentao,WU Shan. Aseismic optimization design of a frame structure based on uniform deformation and a hybrid intelligent algorithm[J]. JOURNAL OF VIBRATION AND SHOCK, 2020, 39(4): 113-121.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2020/V39/I4/113

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