Hypoplastic model for gas hydrate-bearing sediments considering pore morphology

IF 5.3 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers and Geotechnics Pub Date : 2025-02-07 DOI:10.1016/j.compgeo.2025.107115
Sahil Wani , Ramesh Kannan Kandasami , Wei Wu
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引用次数: 0

Abstract

A novel hypoplastic constitutive model is proposed which accurately captures the geomechanical behavior of gas hydrate-bearing sediments. This model explicitly accounts for the effects of hydrate saturation, temperature, and pore pressure across different pore morphologies. A cementation coefficient (αh) is introduced which represents the influence of pore morphology on the sediment’s mechanical response. The predictive capabilities of the proposed model are thoroughly validated against an extensive dataset from the literature, covering various initial stress, hydrate saturation, and temperature conditions. The model’s generality is demonstrated by its ability to predict the mechanical behavior of sediments containing both methane (CH4) and carbon dioxide (CO2) hydrates. Furthermore, the model responses are validated using data obtained from testing natural hydrate cores from the Nankai Trough.
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来源期刊
Computers and Geotechnics
Computers and Geotechnics 地学-地球科学综合
CiteScore
9.10
自引率
15.10%
发文量
438
审稿时长
45 days
期刊介绍: The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.
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