Deformation and stability regression models for soil nail walls

Babu, Sivakumar GL and Singh, VP (2009) Deformation and stability regression models for soil nail walls. In: Proceedings of the ICE - Geotechnical Engineering, 162 (4). pp. 213-223.

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Abstract

Lateral displacement and global stability are the two main stability criteria for soil nail walls. Conventional design methods do not adequately address the deformation behaviour of soil nail walls, owing to the complexity involved in handling a large number of influencing factors. Consequently, limited methods of deformation estimates based on empirical relationships and in situ performance monitoring are available in the literature. It is therefore desirable that numerical techniques and statistical methods are used in order to gain a better insight into the deformation behaviour of soil nail walls. In the present study numerical experiments are conducted using a 2 4 factorial design method. Based on analysis of the maximum lateral deformation and factor-of-safety observations from the numerical experiments, regression models for maximum lateral deformation and factor-of-safety prediction are developed and checked for adequacy. Selection of suitable design factors for the 2 4 factorial design of numerical experiments enabled the use of the proposed regression models over a practical range of soil nail wall heights and in situ soil variability. It is evident from the model adequacy analyses and illustrative example that the proposed regression models provided a reasonably good estimate of the lateral deformation and global factor of safety of the soil nail walls.

Item Type:	Journal Article
Publication:	Proceedings of the ICE - Geotechnical Engineering
Publisher:	Thomas Telford Publishing Ltd.
Additional Information:	Copyright of this article belongs to Thomas Telford Publishing Ltd., 2009
Keywords:	geotechnical engineering; retaining walls; statistical analysis
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	27 Oct 2009 12:55
Last Modified:	21 Feb 2019 11:26
URI:	http://eprints.iisc.ac.in/id/eprint/24513

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