Computers and Concrete

  • 제16권4호
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  • Pages.569-585
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  • 2015
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  • 1598-8198(pISSN)
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  • 1598-818X(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Nonlinear structural modeling using multivariate adaptive regression splines

  • Zhang, Wengang (School of Civil & Environmental Engineering, Nanyang Technological University) ;
  • Goh, A.T.C. (School of Civil & Environmental Engineering, Nanyang Technological University)
  • 투고 : 2012.11.26
  • 심사 : 2015.10.22
  • 발행 : 2015.10.25
⟨ 이전 논문 다음 논문 ⟩

초록

Various computational tools are available for modeling highly nonlinear structural engineering problems that lack a precise analytical theory or understanding of the phenomena involved. This paper adopts a fairly simple nonparametric adaptive regression algorithm known as multivariate adaptive regression splines (MARS) to model the nonlinear interactions between variables. The MARS method makes no specific assumptions about the underlying functional relationship between the input variables and the response. Details of MARS methodology and its associated procedures are introduced first, followed by a number of examples including three practical structural engineering problems. These examples indicate that accuracy of the MARS prediction approach. Additionally, MARS is able to assess the relative importance of the designed variables. As MARS explicitly defines the intervals for the input variables, the model enables engineers to have an insight and understanding of where significant changes in the data may occur. An example is also presented to demonstrate how the MARS developed model can be used to carry out structural reliability analysis.

키워드

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피인용 문헌

  1. MARS inverse analysis of soil and wall properties for braced excavations in clays vol.16, pp.6, 2015, https://doi.org/10.12989/gae.2018.16.6.577
  2. GS-MARS method for predicting the ultimate load-carrying capacity of rectangular CFST columns under eccentric loading vol.25, pp.1, 2015, https://doi.org/10.12989/cac.2020.25.1.001