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Topology Optimization of Steel Structure for Waste Incineration Steam Generator Based on DE and PSO

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Abstract

The paper presents a topology optimization of steel structure about a waste incinerator steam generator to get economical structural layout. Firstly, the load function is got by analyzing the load distribution of a top girder about a certain type of waste incinerator steam generator. According to the theory of structural mechanics, the axial load function of steel frame is proposed. Secondly, the reasonable section class for members are selected and the functional relationship in the steel amount for steel frame with several variables is established. But it is difficult to solve them by ordinary analytic method due to these variables are interrelated. Therefore, intelligent bionics algorithm such as DE-differential evolution algorithm and PSO-particle swarm optimization are employed, the two algorithms are compared in the experiment. The simulation results show that the intelligent bionic algorithm can effectively deal with the optimization problems of steel structure.

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Authors and Affiliations

  1. School of Civil Engineering, Chongqing University, Chongqing, 400044, People’s Republic of China

    Jianling Chen & Yuhang Wang

  2. Dongfang Electric Group Dongfang Boiler Company Limited, Zigong, 643001, Sichuan, People’s Republic of China

    Jianling Chen

  3. Key Laboratory for Clean Combustion and Flue Gas Purification of Sichuan Province, Chengdu, 611731, Sichuan, People’s Republic of China

    Jianling Chen

  4. School of Automation and Information Engineering, Sichuan University of Science & Engineering, Zigong, 643000, Sichuan, People’s Republic of China

    Xu Zhan

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  1. Jianling Chen
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  2. Yuhang Wang
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  3. Xu Zhan
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Correspondence to Xu Zhan.

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Chen, J., Wang, Y. & Zhan, X. Topology Optimization of Steel Structure for Waste Incineration Steam Generator Based on DE and PSO. Int J Steel Struct 21, 1210–1227 (2021). https://doi.org/10.1007/s13296-021-00497-8

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  • DOI: https://doi.org/10.1007/s13296-021-00497-8

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