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Competitor Benchmarking by Structure Reliability Analysis with Improved Response Surface Method

  • Research Article-Mechanical Engineering
  • Published:
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Abstract

This study proposed a benchmarking method by performing structure reliability analysis of the competitor’s leading products. Such analysis was performed by an improved response surface method. This improvement aimed to reduce the computational effort involved in the reliability analysis. For the structure reliability analysis of large-scale structure without an explicit expression, the MATLAB-ANSYS co-calculation was applied to get the explicit response surface function (RSF) as a surrogate model to approximate the implicit limit state function (LSF). After obtaining the RSF, the genetic algorithm (GA) and traditional JC method (a geometric algorithm, recommended by the Joint Committee on Structural Safety) were used to calculate the reliability index and design point, respectively, for comparison. The results showed that using MATLAB-ANSYS co-calculation to obtain the RSF was easy to implement and that the GA could improve calculation efficiency by more than 90%. The result was also verified by the classical Monte Carlo simulation (MCS) in ANSYS PDS. This study provides an easy and efficient way to perform the competitor benchmarking of the market leaders’ product by reliability analysis. This method can be used in any structure design for the company who is the market follower.

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Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Shanxi Provincial Key Research and Development Project (201903D121067), the National Natural Science Foundation of China (51478290) and the Fund for Shanxi ‘1331’ Project’ Key Subjects Construction (1331KSC).

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Authors and Affiliations

  1. College of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024, Shanxi, China

    Haibiao Gao, Yixiao Qin, Linjiang Zhao, Jinpeng Gu & Feng Wang

  2. Volvo Lastvagnar Aktiebolag, Herkulesgatan 75, 405 08, Göteborg, Sweden

    Haibiao Gao

  3. AVIC XINHANG PINGYUAN FILTER CO., LTD, No. 1, Dongyang village, high tech Development Zone, Xinxiang City, Henan Province, China

    Linjiang Zhao

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  1. Haibiao Gao
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  2. Yixiao Qin
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  3. Linjiang Zhao
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  4. Jinpeng Gu
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  5. Feng Wang
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Correspondence to Yixiao Qin.

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Gao, H., Qin, Y., Zhao, L. et al. Competitor Benchmarking by Structure Reliability Analysis with Improved Response Surface Method. Arab J Sci Eng 47, 16331–16339 (2022). https://doi.org/10.1007/s13369-022-06845-y

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  • DOI: https://doi.org/10.1007/s13369-022-06845-y

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