Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/81543
Title: | Nonlinear structural modeling using multivariate adaptive regression splines | Authors: | Zhang, Wengang Goh, Anthony Teck Chee |
Keywords: | Nonlinearity Basis function Multivariate adaptive regression splines Structural analysis Neural networks |
Issue Date: | 2015 | Source: | Zhang, W., & Goh, A. T. C. (2015). Nonlinear structural modeling using multivariate adaptive regression splines. Computers and Concrete, 16(4), 569-585. | Series/Report no.: | Computers and Concrete | Abstract: | 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. | URI: | https://hdl.handle.net/10356/81543 http://hdl.handle.net/10220/39605 |
ISSN: | 1598-8198 | DOI: | 10.12989/cac.2015.16.4.569 | Schools: | School of Civil and Environmental Engineering | Rights: | © 2015 Techno-Press. This paper was published in Computers & Concrete and is made available as an electronic reprint (preprint) with permission of Techno-Press. The published version is available at: [http://dx.doi.org/10.12989/cac.2015.16.4.569]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | CEE Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Nonlinear structural modeling using multivariate adaptive regression splines.pdf | 1.5 MB | Adobe PDF | View/Open |
SCOPUSTM
Citations
50
7
Updated on Mar 20, 2024
Web of ScienceTM
Citations
50
5
Updated on Oct 30, 2023
Page view(s)
378
Updated on Mar 28, 2024
Download(s) 20
263
Updated on Mar 28, 2024
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.