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Publishing Language: Chinese

Optimization design of geosynthetic-reinforced soil segmental walls considering deformation and carbon emission coordination

Fei Zhang1,2Yuming Zhu1,2,3Yifei Sun4Jianbo Fei5Yufeng Gao1,2( )
Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University
College of Civil and Transportation Engineering, Hohai University
Shanghai Shentong Metro Construction Group Co., Ltd.
College of Civil Engineering, Taiyuan University of Technology
College of Civil and Transportation Engineering, Shenzhen University
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Abstract

To address the limitations of earth pressure theory-based design for geosynthetic-reinforced soil (GRS) segmental walls, which is often relatively conservative and unable to simultaneously optimize lateral deformation and carbon emissions, an analytical method for predicting lateral deformation of GRS segmental walls with a life cycle assessment (LCA) framework was proposed. The analytical method considered the complex interactions among facing blocks, geosynthetic reinforcements, and backfill soil. By using multi-objective optimization techniques, an optimized design methodology for GRS segmental walls was developed to achieve a balanced trade-off between lateral deformation and carbon emissions. Validation using practical engineering case demonstrates that the optimized design methodology enables rapid calculation and is suitable for practical application. Lateral deformation can be reduced while maintaining equivalent carbon emissions by optimizing reinforcement length and spacing. The optimal reinforcement length increases with wall height: For walls lower than 5 m, a reinforcement length equal to 0.6 times the wall height is recommended, whereas for taller walls, a length of 0.7 times the wall height is advised.

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Journal of Hohai University (Natural Sciences)
Pages 79-85

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Cite this article:
Zhang F, Zhu Y, Sun Y, et al. Optimization design of geosynthetic-reinforced soil segmental walls considering deformation and carbon emission coordination. Journal of Hohai University (Natural Sciences), 2026, 54(1): 79-85. https://doi.org/10.3876/j.issn.1000-1980.2026.01.010

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Received: 24 July 2025
Published: 25 January 2026
© 2026 Journal of Hohai University (Natural Sciences)