Gonzalez-Castejon, J. and Smith, C.C. orcid.org/0000-0002-0611-9227 (2022) Optimized design of soil reinforcement layout. Géotechnique, 72 (6). pp. 486-495. ISSN 0016-8505
Abstract
The analysis of mechanically stabilised earthworks using geosynthetic reinforcements is typically addressed by means of a limit equilibrium or finite element analysis. However the design of the reinforcement layout and strength is generally specified based on design guidance or on experience. Limit analysis, and in particular Discontinuity Layout Optimization (DLO) presents an alternative for both the analysis and design of reinforced slopes. The current study presents a novel automated approach for determining the optimum layout of reinforcement for any given earthwork geometry. In this paper, a modified formulation of DLO termed Reinforcement Layout and Strength Optimization (RLSO) is presented that is able to find the minimum tensile strength of the reinforcing material and optimal layout required for the stability of the system for a given initial design domain. Examples are given for a slope stability problem and compared with conventional design guidance.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Institution of Civil Engineers. This is an author-produced version of a paper accepted for publication in Géotechnique. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | reinforced soils; numerical modelling; limit state design/analysis |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Funding Information: | Funder Grant number EU Horizon 2020 N/A |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 18 Dec 2020 15:36 |
Last Modified: | 24 May 2022 07:48 |
Status: | Published |
Publisher: | Thomas Telford (Institution of Civil Engineers) |
Refereed: | Yes |
Identification Number: | 10.1680/jgeot.19.P.326 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:169234 |