Journal of The Mechanics and Physics of Solids最新文献

{"title":"Link statistics of dislocation network during strain hardening","authors":"Sh. Akhondzadeh ,&nbsp;Hanfeng Zhai ,&nbsp;Wurong Jian ,&nbsp;Ryan B. Sills ,&nbsp;Nicolas Bertin ,&nbsp;Wei Cai","doi":"10.1016/j.jmps.2026.106533","DOIUrl":"10.1016/j.jmps.2026.106533","url":null,"abstract":"<div><div>Dislocations are line defects in crystals that multiply and self-organize into a complex network during strain hardening. The length of dislocation links, connecting neighboring nodes within this network, contains crucial information about the evolving dislocation microstructure. By analyzing data from Discrete Dislocation Dynamics (DDD) simulations in face-centered cubic (fcc) Cu, we characterize the statistical distribution of link lengths of dislocation networks during strain hardening on individual slip systems. Our analysis reveals that link lengths on active slip systems follow a double-exponential distribution, while those on inactive slip systems conform to a single-exponential distribution. The distinctive long tail observed in the double-exponential distribution is attributed to the stress-induced bowing out of long links on active slip systems, a feature that disappears upon removal of the applied stress. We further demonstrate that both observed link length distributions can be explained by extending a one-dimensional Poisson process to include different growth functions. Specifically, the double-exponential distribution emerges when the growth rate for links exceeding a critical length becomes super-linear, which aligns with the physical phenomenon of long links bowing out under stress. This work advances our understanding of dislocation microstructure evolution during strain hardening and elucidates the underlying physical mechanisms governing its formation.</div></div>","PeriodicalId":17331,"journal":{"name":"Journal of The Mechanics and Physics of Solids","volume":"210 ","pages":"Article 106533"},"PeriodicalIF":6.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146089481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-throughput dynamic experiments: The statistics of spall failure at ultra-high strain rates","authors":"Piyush Wanchoo ,&nbsp;Rohit Berlia ,&nbsp;Timothy P. Weihs ,&nbsp;K.T. Ramesh","doi":"10.1016/j.jmps.2026.106523","DOIUrl":"10.1016/j.jmps.2026.106523","url":null,"abstract":"<div><div>We describe a novel high-throughput experimental framework for dynamic loading based on an automated Laser-driven Microflyer Impact (LMI) platform. The framework is designed to rapidly explore the behavior of materials under dynamic loading, and we demonstrate this capability by performing an unprecedented number (173) of spall experiments to characterize the spall strength of a metal (polycrystalline pure copper). We examine pure polycrystalline copper with two different grain size distributions, one with a mean grain size well below 1.<em>mum</em> (referred to as the nanocrystalline copper) and one with a mean grain size  ∼ 8<em>μm</em> (referred to as the microcrystalline copper). The influence of microstructure and loading kinetics on the spall strength of metals remains poorly determined, largely due to the low throughput of conventional plate-impact experiments, motivating our study. We systematically vary the shock stress and (to a lesser degree) the tensile strain rate in our experiments, and examine the dependence of the spall strength on the prior shock stress, the tensile strain rate, and the grain size. The results provide clear evidence of a strong monotonic increase in spall strength with increasing tensile strain rate, and our microcrystalline copper results are largely consistent with the limited data available in the literature (often on material without a clearly defined grain size distribution). The influence of the prior shock stress on the spall strength is weaker than the strain rate effect, and appears (within our results) to depend also on the grain size distribution. Our results also demonstrate that our nanocrystalline copper has a significantly higher spall strength than its microcrystalline counterpart at these high strain rates. This is a reversal of the established trend that larger grain sizes can provide higher spall strengths when the grain size is sufficiently large, observed in some prior low-rate studies. Our extensive dataset provides validation data for microstructurally-aware spall models that predict an inverse grain-size dependence at high strain rates. This high-throughput LMI approach can also provide the datasets necessary for data-driven design of materials.</div></div>","PeriodicalId":17331,"journal":{"name":"Journal of The Mechanics and Physics of Solids","volume":"210 ","pages":"Article 106523"},"PeriodicalIF":6.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146014553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modular hybrid machine learning and physics-based potentials for scalable modeling of Van der Waals heterostructures","authors":"Hekai Bu ,&nbsp;Wenwu Jiang ,&nbsp;Penghua Ying ,&nbsp;Ting Liang ,&nbsp;Zheyong Fan ,&nbsp;Wengen Ouyang","doi":"10.1016/j.jmps.2026.106540","DOIUrl":"10.1016/j.jmps.2026.106540","url":null,"abstract":"<div><div>Accurately modeling the structural reconstruction and thermodynamic behavior of van der Waals (vdW) heterostructures remains a significant challenge due to the limitations of conventional force fields in capturing their complex mechanical, thermal, electronic, and tribological properties. To address these limitations, we develop a hybrid framework that combines single-layer machine-learned potential (<em>s</em>MLP) with physics-based anisotropic interlayer potential (ILP), effectively decoupling intralayer and interlayer interactions. This <em>s</em>MLP+ILP approach modularizes the modeling of vdW heterostructures like assembling LEGOs, reducing the required training configurations by at least an order of magnitude compared to the pure MLP approach, while retaining predictive accuracy and computational efficiency. We validate our framework by accurately reproducing the mechanical and thermal transport properties of graphite and bulk hexagonal boron nitride (<em>h</em>-BN), and by resolving intricate Moiré patterns in graphene/<em>h</em>-BN bilayer and graphene/graphene/<em>h</em>-BN trilayer heterostructures, achieving excellent agreement with experimental observations. Leveraging the developed <em>s</em>MLP+ILP approach, we reveal the stacking order-dependent formation of Moiré superlattice in trilayer graphene/<em>h</em>-BN/MoS₂ heterostructures, demonstrating its ability to accurately model large-scale vdW systems comprising hundreds of thousands of atoms with near <em>ab initio</em> precision. Moreover, applications to nanotribology of <em>h</em>-BN nanoribbons demonstrate the framework’s unique ability to capture the critical influence of edge chemistry on sliding dynamics, specifically revealing that hydrogen passivation stabilizes zigzag edges against out-of-plane buckling, thereby inducing a pronounced enhancement of stick–slip friction. These findings demonstrate that the hybrid <em>s</em>MLP+ILP framework remarkably outperforms existing pure machine-learned or empirical potentials, offering a scalable and transferable solution for accurately and extensively modeling complex vdW materials across diverse applications, including sliding ferroelectricity, thermal management, resistive switching, and superlubric nanodevices.</div></div>","PeriodicalId":17331,"journal":{"name":"Journal of The Mechanics and Physics of Solids","volume":"210 ","pages":"Article 106540"},"PeriodicalIF":6.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spontaneous oscillations in eukaryotic cilia and photo-responsive rods","authors":"Daniele Agostinelli ,&nbsp;Irene Anello ,&nbsp;Reza Norouzikudiani ,&nbsp;Antonio DeSimone","doi":"10.1016/j.jmps.2026.106529","DOIUrl":"10.1016/j.jmps.2026.106529","url":null,"abstract":"<div><div>We present a comparative analysis of the chemo-mechanical mechanisms that drive spontaneous oscillations in two distinct active filamentous structures: photo-chemically deformable liquid crystal elastomer (LCE) rods and ATP-powered eukaryotic cilia. Using a unified framework of active planar rods, we develop simplified mathematical models for both systems. We reduce the governing partial differential equations to one-degree-of-freedom (1-DOF) nonlinear oscillators, each undergoing a supercritical Hopf bifurcation. For these reduced models, we obtain explicit analytical expressions for the onset and characteristics of self-sustained oscillations. Despite the common mathematical structure, the underlying physical mechanisms are fundamentally different. For LCEs, self-oscillation is an inertial phenomenon driven by an elastic-inertial feedback over the timescale of the photochemical reaction. In contrast, cilia live in the inertia-less regime, and the instability is driven by a negative effective damping (motive force) that arises from the mechanochemistry of molecular motors. The analytical predictions for critical activation thresholds, frequencies, and amplitudes agree with full nonlinear simulations, providing quantitative insight into the dynamics of these complex self-oscillating systems.</div></div>","PeriodicalId":17331,"journal":{"name":"Journal of The Mechanics and Physics of Solids","volume":"210 ","pages":"Article 106529"},"PeriodicalIF":6.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146056279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Buckling and post-buckling of strain-softening and strain-stiffening columns","authors":"Shivam Agarwal ,&nbsp;Yuzhen Chen ,&nbsp;Lihua Jin","doi":"10.1016/j.jmps.2026.106520","DOIUrl":"10.1016/j.jmps.2026.106520","url":null,"abstract":"<div><div>Axially compressed columns made of a neo-Hookean material show continuous buckling, snap-through buckling and snap-back buckling as the width-to-length ratio increases. Interestingly, some architected columns with microstructures in literature exhibit snap-through buckling at considerably lower width-to-length ratios. We attempt to find a general reasoning for this unconventional behavior, as the homogenized effect of the void-based microstructures is equivalent to strain-softening behavior of a continuum. We hypothesize that the strain-softening and strain-stiffening effects significantly affect the buckling and post-buckling of axially compressed columns. We use simple phenomenological models, such as, the reduced polynomial model, to capture both the strain-softening and strain-stiffening behaviors, and the hyperfoam model, to capture extreme strain-softening as observed in typical elastomeric foams. Our finite element simulations on continuum columns produce post-buckling responses qualitatively similar to those architected or hierarchical columns, which verifies our hypothesis. Furthermore, we use asymptotic analysis to find the buckling and post-buckling responses for a wide range of width-to-length ratio and a varying degree of strain-softening/-stiffening. Results for the reduced polynomial model show that the strain-softening effect in slender columns or the strain-stiffening effect in wide columns can considerably reduce the post-buckling slope. Moreover, with the hyperfoam model, we discover a new regime of negative post-buckling slope, which leads to snap-through buckling in very slender columns. Our buckling experiments on the columns made of common open-cell and closed-cell foams validate our findings. At last, we present a discrete model, inspired by the Euler-Bernoulli beam theory, to explain the post-buckling behavior of strain-softening/-stiffening columns. Strain-softening/-stiffening can therefore be harnessed, apart from the width-to-length ratio, to tune the deformation of a column in various applications pertaining to construction, metamaterials, soft robotics, haptics, and packaging, to name a few.</div></div>","PeriodicalId":17331,"journal":{"name":"Journal of The Mechanics and Physics of Solids","volume":"210 ","pages":"Article 106520"},"PeriodicalIF":6.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145962547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nonlinear mechanics of arterial growth","authors":"Aditya Kumar ,&nbsp;Arash Yavari","doi":"10.1016/j.jmps.2026.106525","DOIUrl":"10.1016/j.jmps.2026.106525","url":null,"abstract":"<div><div>In this paper, we formulate a geometric theory of the mechanics of arterial growth. An artery is modeled as a finite-length thick shell that is made of an incompressible nonlinear anisotropic solid. An initial radially-symmetric distribution of finite radial and circumferential eigenstrains is also considered. Bulk growth is assumed to be isotropic. A novel framework is proposed to describe the time evolution of growth, governed by a competition between the elastic energy and a <em>growth energy</em>. The governing equations are derived through a two-potential approach and using the Lagrange-d’Alembert principle. An isotropic dissipation potential is considered, which is assumed to be convex in the rate of growth function. Several numerical examples are presented that demonstrate the effectiveness of the proposed model in predicting the evolution of arterial growth and the intricate interplay among eigenstrains, residual stresses, elastic energy, growth energy, and dissipation potential. A distinctive feature of the model is that the growth variable is not constrained by an explicit upper bound; instead, growth naturally approaches a steady-state value as a consequence of the intrinsic energetic competition. Several numerical examples illustrate the efficiency and robustness of the proposed framework in modeling arterial growth.</div></div>","PeriodicalId":17331,"journal":{"name":"Journal of The Mechanics and Physics of Solids","volume":"210 ","pages":"Article 106525"},"PeriodicalIF":6.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning-energized framework for rapid and precise inverse design of programmable structures with multiple design variables","authors":"Qingqing Chen,&nbsp;Chao Yuan,&nbsp;Tiejun Wang","doi":"10.1016/j.jmps.2026.106524","DOIUrl":"10.1016/j.jmps.2026.106524","url":null,"abstract":"<div><div>Programmable structures enable autonomous deformation to achieve target three-dimensional (3D) shapes by triggering stimuli-responsive mismatch strain embedded in precursory configurations. However, the growing complexity of target 3D geometries makes it challenging to efficiently and accurately find optimal precursory design variables in a high-dimensional design space. Here, we propose a machine learning-energized framework for rapid and precise inverse design of programmable 3D structures. Firstly, a finite substructure algorithm is proposed to rapidly generate a large-scale database that accurately maps multiple design variables to programmable deformations. To this end, we decompose the full-scale structure into overlapping substructures and employ machine learning to augment the design variable-substructural deformation data pairs from limited finite element analyses. The deformed substructures are then sequentially stitched to reconstruct global deformation by optimal rotation and translation that minimize the Euclidean distance of overlapping regions. Compared to finite element analysis, the proposed finite substructure algorithm accelerates the forward prediction by four orders of magnitude. Based on the large-scale database, a well-trained neural network is obtained to inversely generate the coarse estimation of target design variables, which equips the gradient-free optimization with prior knowledge to approach the optimal result at an accelerated pace. Also, we establish a 3D printing and vacuum actuation platform to validate the inversely designed pneumatically programmable structures. Finally, we show a bio-inspired robotic arm capable of warping and grasping complex 3D objects to highlight the applicability of the proposed inverse design approach. This work provides a feasible paradigm for the inverse design of programmable structures, paving the way for potential applications in soft robotics and deployable devices.</div></div>","PeriodicalId":17331,"journal":{"name":"Journal of The Mechanics and Physics of Solids","volume":"210 ","pages":"Article 106524"},"PeriodicalIF":6.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A physically based mechanical model for Mullins effect in thermoplastic polyurethanes","authors":"Samuel C. Lamont,&nbsp;David J. Walters","doi":"10.1016/j.jmps.2026.106532","DOIUrl":"10.1016/j.jmps.2026.106532","url":null,"abstract":"<div><div>Despite decades of research, connecting the chemical and physical structure of thermoplastic polyurethanes to their mechanical properties remains highly challenging. Of particular note are their large-deformation and rate-dependent behaviors, which vary greatly with molecular chemistry, including the type and relative content of soft and hard segments. In this work, we develop a physically motivated mechanical theory for predicting the behavior of thermoplastic polyurethanes. The theory incorporates a representation of microstructural evolution during mechanical deformation, which captures the signatures of stress softening over cyclic loading (commonly referred to as the Mullins effect). There are only eight physically motivated fitting parameters, including a direct dependence on the hard segment fraction. The model predicts that increasing the hard segment fraction leads to higher stiffness and greater energy dissipation, in quantitative agreement with published experimental data. We provide a comprehensive analysis of the model and validate its predictions across several independent datasets focused on mechanical characterization. Direct comparisons to experimental data demonstrate its predictive capability on the effect of loading rate, cyclic deformations, and applied tension or compression. Altogether, this work establishes a predictive framework that connects polymer chemistry and microstructure to emergent mechanical behaviors.</div></div>","PeriodicalId":17331,"journal":{"name":"Journal of The Mechanics and Physics of Solids","volume":"210 ","pages":"Article 106532"},"PeriodicalIF":6.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146071711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unveiling the evolving fracture toughness: The R-curve phenomenon in double network hydrogels","authors":"Wenjing Lu ,&nbsp;Shuai Xu ,&nbsp;Chong Wang ,&nbsp;Zishun Liu","doi":"10.1016/j.jmps.2026.106531","DOIUrl":"10.1016/j.jmps.2026.106531","url":null,"abstract":"<div><div>Double network (DN) hydrogels exhibit remarkable mechanical properties, most notably their high fracture toughness, which expands their potential applications across various fields. To guarantee the reliability of DN gels in practical uses, an in-depth comprehension of their fracture characteristics is crucial. Previous studies on the fracture behavior of DN gels mainly concentrated on the crack initiation process, often treating fracture toughness as a constant characteristic of the material. In contrast, our experimental research unveils the evolving fracture toughness as a fracture resistance curve (R-curve) in DN gels, indicating that fracture toughness increases with crack propagation until reaching a plateau of steady-state, rather than remaining constant. This phenomenon is attributed to mechanisms of crack tip softening and stress de-concentration resulting from the fracture of the brittle PAMPS network in DN gels. We have identified three critical parameters, i.e., the initiation fracture toughness (<span><math><msub><mi>G</mi><mtext>init</mtext></msub></math></span>), steady state toughness (<span><math><msub><mi>G</mi><mtext>ss</mtext></msub></math></span>), steady state crack extension length (<span><math><msub><mi>L</mi><mtext>ss</mtext></msub></math></span>), to quantify this behavior. Additionally, we explore the effect of pre-damage of PAMPS network on the R-curve and develop a theoretical model linking the degree of pre-damage (h) to <span><math><msub><mi>G</mi><mtext>ss</mtext></msub></math></span>. Our model effectively predicts the R-curve of DN gels under various pre-damage conditions. Furthermore, by considering different PAMPS network formulations, we establish a scaling law linking <span><math><mrow><mo>(</mo><mrow><msub><mi>G</mi><mtext>ss</mtext></msub><mo>−</mo><msub><mi>G</mi><mtext>init</mtext></msub></mrow><mo>)</mo></mrow></math></span> with <span><math><msub><mi>L</mi><mtext>ss</mtext></msub></math></span>, thus creating a unified framework for understanding the internal physical properties of diverse DN gels. These insights also differentiate the toughening mechanisms in DN gels: energy dissipation from the PAMPS network affects <span><math><mrow><mo>(</mo><mrow><msub><mi>G</mi><mtext>ss</mtext></msub><mo>−</mo><msub><mi>G</mi><mtext>init</mtext></msub></mrow><mo>)</mo></mrow></math></span>, while the <span><math><msub><mi>G</mi><mtext>init</mtext></msub></math></span> reflects the intrinsic fracture properties governed by the elastic PAAm network. We anticipate that our experimental results and theoretical models will enhance the understanding of fracture in soft tough materials.</div></div>","PeriodicalId":17331,"journal":{"name":"Journal of The Mechanics and Physics of Solids","volume":"210 ","pages":"Article 106531"},"PeriodicalIF":6.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146056278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multiscale modeling of coupled thermo-hydro-mechanical- chemical behavior in hydrate-bearing sediment","authors":"Jidu Yu ,&nbsp;Jidong Zhao ,&nbsp;Weijian Liang","doi":"10.1016/j.jmps.2026.106512","DOIUrl":"10.1016/j.jmps.2026.106512","url":null,"abstract":"<div><div>This study presents a hybrid continuum-discrete multiscale computational framework that integrates the material point method (MPM) and the discrete element method (DEM) to model fully coupled thermo-hydro-mechanical-chemical (THMC) behavior of hydrate-bearing sediments (HBS). Key innovation of the framework lies in its direct use of DEM to model microscale mechanisms, such as hydrate bond degradation, particle rearrangement, and pore evolution, thereby bypassing the need for conventional elastoplastic constitutive models to define effective stress. We show that a simple hydrate saturation-dependent contact model within the DEM can effectively reproduce characteristic shear and volumetric responses of HBS under various hydrate saturation and confining stresses. By embedding a DEM-based representative volume element (RVE) at each material point in the MPM grid, microscale mechanical behaviors are seamlessly homogenized to inform large-deformation macroscale multiphysics processes. Numerical simulations of biaxial compression and indenter penetration demonstrate the framework’s capability to capture critical phenomena, including shear band formation, shear-induced dilation, and the generation of negative excess pore pressure that drives localized hydrate dissociation. The results further reveal that while higher hydrate saturation enhances shear strength, it also promotes brittle failure and intensified dissociation. Conversely, increased confining stress suppresses volumetric dilation and stabilizes the sediment by mitigating the development of negative pore pressure. This multiscale approach provides a powerful new tool for elucidating complex THMC interactions in HBS, with important implications for assessing hydrate-related geohazards and optimizing gas extraction strategies.</div></div>","PeriodicalId":17331,"journal":{"name":"Journal of The Mechanics and Physics of Solids","volume":"210 ","pages":"Article 106512"},"PeriodicalIF":6.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145956831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}