Multivariate adaptive regression splines for inverse analysis of soil and wall properties in braced excavation. (April 2017)

• Record Type: Journal Article
• Authors: Zhang, Wengang; Zhang, Yanmei; Goh, Anthony T.C.
• Is Part Of: Tunnelling and underground space technology. Volume 64(2017)
• Page Start: 24
• Page End: 33
• Publication Date: 2017-04
• Subjects: Wall deflection -- Braced excavation -- Soil stiffness ratio -- Case histories -- Multivariate adaptive regression splines -- Inverse analysis; Tunneling -- Periodicals; Underground construction -- Periodicals; Tunnels -- Periodicals; Underground areas -- Periodicals; 624.193
• DOI: 10.1016/j.tust.2017.01.009
• Languages: English
• ISSNs: 0886-7798

Abstract

Abstract: A major concern in any deep excavation project in a soft clay deposit is the potential for adjacent buildings to be damaged as a result of the associated excessive ground movements. In order to accurately determine the wall deflections using a numerical procedure such as the finite element method, it is critical to use the correct soil parameters such as the stiffness/strength properties. This can be carried out by performing an inverse analysis using the measured wall deflections. This paper firstly presents the results of extensive plane strain finite element analyses of braced diaphragm walls to examine the influence of various parameters such as the excavation geometry, soil properties and wall stiffness on the wall deflections. Based on these results, a multivariate adaptive regression splines (MARS) model was developed for inverse parameter identification of the soil relative stiffness ratio. A second MARS model was also developed for inverse parameter estimation of the wall system stiffness, to enable designers to determine the appropriate wall size during the preliminary design phase. Soil relative stiffness ratios and system stiffness values derived via these two different MARS models were found to compare favourably with a number of field and published records.