Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/107308
Title: Multivariate adaptive regression splines model for reliability assessment of serviceability limit state of twin caverns
Authors: Zhang, Wengang
Goh, Anthony Teck Chee
Keywords: DRNTU::Engineering::Civil engineering::Geotechnical
Issue Date: 2014
Source: Zhang, W., & Goh, A. T. C. (2014). Multivariate adaptive regression splines model for reliability assessment of serviceability limit state of twin caverns. Geomechanics and engineering, 7(4), 431-458.
Series/Report no.: Geomechanics and engineering
Abstract: Construction of a new cavern close to an existing cavern will result in a modification of the state of stresses in a zone around the existing cavern as interaction between the twin caverns takes place. Extensive plane strain finite difference analyses were carried out to examine the deformations induced by excavation of underground twin caverns. From the numerical results, a fairly simple nonparametric regression algorithm known as multivariate adaptive regression splines (MARS) has been used to relate the maximum key point displacement and the percent strain to various parameters including the rock quality, the cavern geometry and the in situ stress. Probabilistic assessments on the serviceability limit state of twin caverns can be performed using the First-order reliability spreadsheet method (FORM) based on the built MARS model. Parametric studies indicate that the probability of failure increases as the coefficient of variation of Q increases, and decreases with the widening of the pillar.
URI: https://hdl.handle.net/10356/107308
http://hdl.handle.net/10220/25427
ISSN: 2005-307X
DOI: 10.12989/gae.2014.7.4.431
Rights: © 2014 Techno-Press. This paper was published in Geomechanics and Engineering and is made available as an electronic reprint (preprint) with permission of Techno-Press. The paper can be found at the following official DOI: [http://dx.doi.org/10.12989/gae.2014.7.4.431]. 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

SCOPUSTM   
Citations 20

21
Updated on Jan 13, 2023

Web of ScienceTM
Citations 20

19
Updated on Jan 29, 2023

Page view(s) 50

498
Updated on Feb 1, 2023

Download(s) 20

291
Updated on Feb 1, 2023

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.