Mechanics of Materials最新文献

{"title":"Influence of the shape of cohesive zone models on the peeling of stiff film/soft substrate systems: A theoretical perspective","authors":"Hao Long ,&nbsp;Yanwei Liu ,&nbsp;Hanbin Yin ,&nbsp;Yueguang Wei","doi":"10.1016/j.mechmat.2025.105343","DOIUrl":"10.1016/j.mechmat.2025.105343","url":null,"abstract":"<div><div>Peel tests have been widely used to measure the interfacial properties of thin film/substrate systems. With the emergence of soft materials and structures, there is a growing need to characterize the interface of stiff film/soft substrate systems. The accurate prediction of their peeling behaviors relies on cohesive zone models (CZMs), but the influence of the shape of CZMs remains unclear. Herein, we propose a theoretical model based on the trapezoidal CZM to characterize the 90-degree peeling of stiff film/soft substrate systems, and this model can degenerate into those based on Dugdale’s and bilinear CZMs. We validate the theoretical solutions for different shapes of CZMs by finite element simulations, and reveal that the maximum peeling force (<span><math><mrow><msub><mi>P</mi><mi>max</mi></msub></mrow></math></span>) and the corresponding cohesive zone length (<span><math><mrow><msubsup><mi>l</mi><mtext>CZ</mtext><mi>max</mi></msubsup></mrow></math></span>) are significantly affected by the shape of CZMs. We further obtain the unified power scaling laws of <span><math><mrow><msub><mi>P</mi><mi>max</mi></msub></mrow></math></span> and <span><math><mrow><msubsup><mi>l</mi><mtext>CZ</mtext><mi>max</mi></msubsup></mrow></math></span> for different shapes of CZMs, where the scaling exponents depend on substrate elasticity and the shape of CZMs. By a simple extension of the present model, we find that the presence of a small initial interfacial crack can lead to a significant decrease of <span><math><mrow><msub><mi>P</mi><mi>max</mi></msub></mrow></math></span>. When the initial interfacial crack is long, the influences of the substrate modulus, the shape of CZMs and the interfacial strength on <span><math><mrow><msub><mi>P</mi><mi>max</mi></msub></mrow></math></span> can be ignored, and the peeling is governed by the interfacial fracture energy. With the present theoretical solutions, the interfacial strength and fracture energy of stiff film/soft substrate systems can be extracted simultaneously via 90-degree peel tests as long as the shape of CZMs is given and the initial interfacial crack is not very long. We expect that the present model can be extended to the case of arbitrary multi-linear CZMs, which can approximate arbitrarily shaped CZMs. These results can help us measure the interfacial properties of stiff film/soft substrate systems via peel tests, and understand the influence of the shape of CZMs on the interfacial fracture from a theoretical perspective.</div></div>","PeriodicalId":18296,"journal":{"name":"Mechanics of Materials","volume":"206 ","pages":"Article 105343"},"PeriodicalIF":3.4,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143747916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermo-mechanical modeling and behavior analysis of titanium-matrix composites via laser powder bed fusion","authors":"Yang Yang ,&nbsp;Zhi-Jian Li ,&nbsp;Yuan Yao ,&nbsp;Hong-Liang Dai","doi":"10.1016/j.mechmat.2025.105342","DOIUrl":"10.1016/j.mechmat.2025.105342","url":null,"abstract":"<div><div>Laser powder bed fusion (LPBF) gives new insights into the effective fabrication of multi-material parts. However, they have not reached mechanical reliability due to undesirable physical defects such as porosity related to powder spatter. The effect of a powder bed-substrate system with such defects on the thermo-mechanical behavior of multi-material parts is still unclear. In this paper, considering porosity due to powder spatter, a multi-material property model of titanium-matrix composites (TMCs) is established based on the mixture method. Considering temperature-dependent thermal properties, an integrated thermo-mechanical modeling of TMCs is developed to predict the residual stress and deformation of the as-built parts. The three-dimensional transient thermal and stress fields are predicted using the differential quadrature method (DQM). The predicted results show excellent agreement with the predictions and experimental results in the literature. Furthermore, the effect of process parameters, ceramic, part dimension, and porosity on the thermo-mechanical responses of TMCs is analyzed. The results show that the interface between the powder bed and substrate is subjected to the highest thermal gradient and residual stress. In addition, the thermal gradient, residual stress, and interfacial deformation increase with the increased energy density, porosity, and substrate thickness. These results can provide a guide for the design and manufacturing of multi-material parts via LPBF.</div></div>","PeriodicalId":18296,"journal":{"name":"Mechanics of Materials","volume":"206 ","pages":"Article 105342"},"PeriodicalIF":3.4,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143761145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of NiTi under low-amplitude cyclic loading by means of thermographic harmonic analysis","authors":"V. Pinto ,&nbsp;R. Cappello ,&nbsp;S. Di Leonardo ,&nbsp;G. Catalanotti ,&nbsp;G. Burriesci ,&nbsp;G. Pitarresi","doi":"10.1016/j.mechmat.2025.105334","DOIUrl":"10.1016/j.mechmat.2025.105334","url":null,"abstract":"<div><div>Nitinol is a shape memory alloy exhibiting superelastic behaviour above a specific temperature. This property has allowed the design of a new breed of collapsible/expandable cardiovascular medical devices, which are generally characterised by high-risk classes. Therefore, it is crucial to gain a comprehensive understanding of the material behaviour under in-vivo operating conditions. These are typically characterised by large pre-straining and small strain amplitude cyclic loading (high-cycle fatigue). In the present study, nitinol strips are monitored by two full-field sensing techniques: digital image correlation (DIC) and infrared thermography (IRT). The latter in particular was used to sample temperature during small-strain amplitude sinusoidal loading at various mean strains. Results show that the analysis of the frequency domain content of the temperature signal can provide useful information to characterise the material under operating conditions. In particular, it is found that temperature modulation is mainly characterised by its <em>first</em> and <em>second harmonics</em>, i.e. the harmonics at the load frequency and at twice the load frequency. These are shown to be correlated to the local stress field, the actual material phase status and the phase transformation history. The proposed harmonic analysis can be performed in near-real-time, and has the potential to be a convenient and highly informative tool when monitoring nitinol devices under structural fatigue testing. The paper also discusses the nature of the load-induced temperature modulation, and the direct applicability of the thermoelastic effect theory to interpret the observed behaviour.</div></div>","PeriodicalId":18296,"journal":{"name":"Mechanics of Materials","volume":"206 ","pages":"Article 105334"},"PeriodicalIF":3.4,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143747917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The dual phase lag model for thermoelastic microbeams embedded in an elastic foundation incorporating fractional Kelvin–Voigt viscoelasticity","authors":"Ahmed E. Abouelregal ,&nbsp;Salman S. Alsaeed ,&nbsp;Murat Yaylacı ,&nbsp;Mohamed E. Elzayady ,&nbsp;Zafer Kurt ,&nbsp;Ecren Uzun Yaylacı","doi":"10.1016/j.mechmat.2025.105336","DOIUrl":"10.1016/j.mechmat.2025.105336","url":null,"abstract":"<div><div>This research presents the dual-phase lag model (DPL) for thermoelastic microbeams. The model, supported by Winkler foundations, incorporates fractional Kelvin–Voigt viscoelasticity. The model addresses the complexities of heat transfer and mechanical behavior in micro-scale structures by accounting for phase lags in both temperature and heat flux, which are crucial for accurate predictions at small scales. By integrating fractional Kelvin–Voigt viscoelasticity, the study improves the comprehension of time-dependent material responses, capturing the unique behaviors of viscoelastic materials at the micro-level. The governing equations combine the dual-phase lag mechanism with Winkler foundation assumptions for a comprehensive analysis of thermoelastic behavior. Advanced mathematical techniques, including the Laplace transform, are applied to derive expressions for key parameters such as temperature distribution, deflection, and stress profiles. Numerical simulations provide graphical representations that evaluate the effects of factors like fractional order, foundation stiffness, and viscoelastic properties on microbeam behavior. This model is a valuable tool for engineers and researchers designing advanced materials and structures for dynamic thermal and mechanical conditions, promoting innovation in nanotechnology, materials science, and structural engineering.</div></div>","PeriodicalId":18296,"journal":{"name":"Mechanics of Materials","volume":"205 ","pages":"Article 105336"},"PeriodicalIF":3.4,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A multi-physics coupled beam model for ionic polymers: Solutions for static and dynamic responses","authors":"Yiming Fan ,&nbsp;Luke Zhao ,&nbsp;Qiufeng Yang ,&nbsp;Feng Jin","doi":"10.1016/j.mechmat.2025.105335","DOIUrl":"10.1016/j.mechmat.2025.105335","url":null,"abstract":"<div><div>Ionic polymers, with Nafion as a typical representative, have been widely applied in various fields. In this paper, we develop a new model that reveals the multi-physics coupling properties of ionic polymer beams. A key advantage of this model is its ability to provide analytical solutions, eliminating the need for finite element methods while effectively capturing the various responses of ionic polymer beams. Through this model, we systematically investigate the static and harmonic vibration characteristics of ionic polymer-metal composites (IPMCs) as force sensors and perform a comprehensive parametric analysis. Specifically, we explore how diffusion coefficient, permittivity, molar volume of hydrated cations, and anion concentration influence IPMC performance. The results highlight the strong applicability of the model in describing the multi-physics coupled behavior of ionic polymers, making it a powerful tool for the design and optimization of this class of sensors.</div></div>","PeriodicalId":18296,"journal":{"name":"Mechanics of Materials","volume":"206 ","pages":"Article 105335"},"PeriodicalIF":3.4,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lithiation-induced stress and damage in electrode materials: Effects of current variations","authors":"Yong Li ,&nbsp;Lili Dai ,&nbsp;Wei Feng ,&nbsp;Kai Zhang ,&nbsp;Fuqian Yang","doi":"10.1016/j.mechmat.2025.105332","DOIUrl":"10.1016/j.mechmat.2025.105332","url":null,"abstract":"<div><div>Lithium-ion batteries likely experience different structural evolution during electrochemical charging and discharging under dynamic environments from the corresponding one under “conventional” cycling conditions. In this work, we introduce a time-dependent influx in the analysis of the evolution of stress, strain, mechanical and chemical damages under galvanostatic operation. The time-dependent term is presented in two different forms – one in the form of a set of cosine terms and the other in the form of a Gaussian pulse. For the time-dependent term in the form of a single cosine term, both the angular frequency and amplitude contribute to the evolution of stress, strain, mechanical and chemical damages. The cosine term with a larger amplitude and/or a smaller angular frequency has a larger effect on the structural integrity of the electrode materials in LIBs than the corresponding one with a smaller amplitude and/or a larger angular frequency. For the time-dependent term in the form of a Gaussian pulse, the degradation of LIBs is dependent on the energy coefficient of the Gaussian pulse. Increasing the energy coefficient of the Gaussian pulse leads to the increase of mechanical and chemical damages.</div></div>","PeriodicalId":18296,"journal":{"name":"Mechanics of Materials","volume":"205 ","pages":"Article 105332"},"PeriodicalIF":3.4,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On the application of Physically-Guided Neural Networks with Internal Variables to Continuum Problems","authors":"Rubén Muñoz-Sierra ,&nbsp;Jacobo Ayensa-Jiménez ,&nbsp;Manuel Doblaré","doi":"10.1016/j.mechmat.2025.105317","DOIUrl":"10.1016/j.mechmat.2025.105317","url":null,"abstract":"<div><div>Predictive physics has been historically based upon the development of mathematical models that describe the evolution of a system under certain external stimuli and constraints. The structure of such mathematical models relies on a set of physical hypotheses that are assumed to be fulfilled by the system within a certain range of environmental conditions. A new perspective is now raising that uses physical knowledge to inform the data prediction capability of Machine Learning tools, coined as Scientific Machine Learning.</div><div>A particular approach in this context is the use of Physically-Guided Neural Networks with Internal Variables, where universal physical laws are used as constraints to a given neural network, in such a way that some neuron values can be interpreted as internal state variables of the system. This endows the network with unraveling capacity, as well as better predictive properties such as faster convergence, fewer data needs and additional noise filtering. Besides, only observable data are used to train the network, and the internal state equations may be extracted as a result of the training process, so there is no need to make explicit the particular structure of the internal state model, while getting solutions consistent with Physics.</div><div>We extend here this methodology to continuum physical problems driven by a general set of partial differential equations, showing again its predictive and explanatory capacities when only using measurable values in the training set. Moreover, we show that the mathematical operators developed for image analysis in deep learning approaches can be used in a natural way and extended to consider standard functional operators in continuum Physics, thus establishing a common framework for both.</div><div>The methodology presented demonstrates its ability to discover the internal constitutive state equation for some problems, including heterogeneous, anisotropic and nonlinear features, while maintaining its predictive ability for the whole dataset coverage, with the cost of a single evaluation. As a consequence, microstructural material properties can be inferred from macroscopic measurement coming from sensors without the need of specific homogeneous test plans neither specimen extraction.</div></div>","PeriodicalId":18296,"journal":{"name":"Mechanics of Materials","volume":"205 ","pages":"Article 105317"},"PeriodicalIF":3.4,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Numerical modeling of plant fiber-reinforced composites: Predicting macroscopic strength and nonlinear behavior through fiber, matrix, and interface failure","authors":"Valentin Senk ,&nbsp;Markus Königsberger ,&nbsp;Sebastian Pech ,&nbsp;Markus Lukacevic ,&nbsp;Michael Schwaighofer ,&nbsp;Luis Zelaya-Lainez ,&nbsp;Josef Füssl","doi":"10.1016/j.mechmat.2025.105318","DOIUrl":"10.1016/j.mechmat.2025.105318","url":null,"abstract":"<div><div>This paper presents a comprehensive study of the numerical modeling of plant fiber-reinforced biocomposites. It focuses on predicting the complex interactions and failure mechanisms between cellulosic fibers and polymer matrix materials. Utilizing an advanced model incorporating a two-fiber unit cell with periodic boundary conditions, the research addresses all major failure mechanisms, including matrix softening, fiber rupture, and interface failure. Through qualitative and quantitative comparison against biocomposite experiments, the model demonstrates its effectiveness despite its simple microstructural representation. It thus emphasizes its utility in understanding and predicting both the macroscopic nonlinear behavior and the ultimate strength of these composites.</div></div>","PeriodicalId":18296,"journal":{"name":"Mechanics of Materials","volume":"205 ","pages":"Article 105318"},"PeriodicalIF":3.4,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A long short-term memory-based constitutive modeling framework for capturing strain path dependence in plastic deformation","authors":"Jin-Zhao Li ,&nbsp;Zhi-Ping Guan ,&nbsp;Jiong-Rui Chen ,&nbsp;Hui-Chao Jin","doi":"10.1016/j.mechmat.2025.105325","DOIUrl":"10.1016/j.mechmat.2025.105325","url":null,"abstract":"<div><div>Macroscopic models struggle to capture the strain path-dependent behavior of metallic materials, particularly under random loading conditions. While crystal plasticity models effectively describe complex strain path dependence due to their physical basis, they suffer from significant computational inefficiencies and limited scalability. To address these challenges, this study introduces an LSTM-based constitutive modeling framework, a novel data-driven approach. The framework starts with fundamental experiments, optimized using a BPNN method to derive constitutive parameters for a crystal plasticity model. An extensive dataset is generated by simulating crystal plasticity along various random strain paths, which is used to train the LSTM network. The resulting model demonstrates exceptional computational efficiency, providing predictions in under 5 s—far faster than the 30-min crystal plasticity simulations. The LSTM-based model accurately predicts responses for strain paths outside the training dataset, exhibiting low RMSE and MAE values. Experimental results from six strain paths confirm the model's accuracy, capturing behaviors such as the Bauschinger effect and orthogonal hardening/softening. This framework offers a promising alternative to traditional constitutive models, extending crystal plasticity to macroscopic processes and enabling precise engineering predictions. The framework is also adaptable to other materials and holds potential for solving time-series related challenges.</div></div>","PeriodicalId":18296,"journal":{"name":"Mechanics of Materials","volume":"205 ","pages":"Article 105325"},"PeriodicalIF":3.4,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deformation mechanism and thermal conductivity of WS2/Ni heterostructure","authors":"Yu-Sheng Lu ,&nbsp;Chia-Wei Huang ,&nbsp;Tang-Yu Lai ,&nbsp;Thi-Xuyen Bui ,&nbsp;Chun-Ta Tseng ,&nbsp;Te-Hua Fang","doi":"10.1016/j.mechmat.2025.105330","DOIUrl":"10.1016/j.mechmat.2025.105330","url":null,"abstract":"<div><div>This study employs molecular dynamics (MD) simulations to construct WS₂-coated nickel (Ni) substrates and investigate their tribological and thermal conductivity properties. The effects of varying scratching depths, speeds, and temperatures on the tribological performance were explored, alongside analyses of temperature differences, overall temperature, and model size on thermal conductivity using non-equilibrium MD (NEMD). Results reveal that WS₂/Ni heterostructures exhibit self-repair mechanisms that mitigate surface damage during scratching, reducing friction coefficients compared to bare Ni substrates. The friction coefficient increased with deeper scratching due to atomic accumulation and extrusion, while higher scratching speeds maintained low friction levels, indicating robust lubrication. Furthermore, higher ambient temperatures reduced the friction coefficient. However, thermal conductivity was unaffected by temperature variation between hot and cold zones. Thermal conductivity increased with model size and decreased at elevated temperatures, exhibiting minimal anisotropy overall. These findings highlight the potential of WS₂/Ni heterostructures for applications requiring high-performance lubrication and thermal management in sectors such as precision machinery and aerospace.</div></div>","PeriodicalId":18296,"journal":{"name":"Mechanics of Materials","volume":"205 ","pages":"Article 105330"},"PeriodicalIF":3.4,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}