Strain-Softening Characteristics of Hydrate-Bearing Sediments and Modified Duncan–Chang Model

Yan, Mengqiu and Yan, Rongtao and Yu, Haihao and Wang, Yonghong (2021) Strain-Softening Characteristics of Hydrate-Bearing Sediments and Modified Duncan–Chang Model. Advances in Materials Science and Engineering, 2021. pp. 1-15. ISSN 1687-8434

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Abstract

Marine hydrate exploitation may trigger the seabed geological disaster, such as seafloor collapse and landslide. It is critically important to understand the mechanical properties of hydrate-bearing sediment. Strain-softening observation is a typical behavior of hydrate-bearing sediment (HBS) and exhibits more significant at higher hydrate saturation. This paper performed a series of triaxial compression tests on methane hydrate-bearing sand to analyze the influence rule and mechanism of hydrate saturation on the strain-softening characteristic, stiffness, and strength and introduced the strain-softening index to quantificationally characterize the strain-softening behaviors of HBS with different hydrate saturations. Based on the analyses on the mechanical behavior of HBS, the Duncan–Chang model is extended to address the stress-strain curves of HBS. Two empirical formulas with hydrate saturation embedded are used to characterize the enhanced initial modulus and strength for HBS, respectively. To address the strain-softening behavior of HBS, the modified Duncan–Chang model introduced a damage factor into the strength of HBS. To validate the modified Duncan–Chang model, four different triaxial compression tests are simulated. The good consistence between simulated result and experimental data demonstrates that the modified Duncan–Chang model is capable of reflecting the influence of hydrate saturation not only on the stiffness and strength but also on the strain-softening characteristics of HBS.

Item Type: Article
Subjects: STM Library > Engineering
Depositing User: Managing Editor
Date Deposited: 26 Nov 2022 04:50
Last Modified: 30 May 2024 06:24
URI: http://open.journal4submit.com/id/eprint/351

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