Pub Date : 2026-01-19DOI: 10.1016/j.ijmecsci.2026.111292
Yaqi Tian, Cong Zhang, Lei Yang
{"title":"Additive Manufacturing of Vibration Attenuation and Load-Bearing Integrated Metamaterials","authors":"Yaqi Tian, Cong Zhang, Lei Yang","doi":"10.1016/j.ijmecsci.2026.111292","DOIUrl":"https://doi.org/10.1016/j.ijmecsci.2026.111292","url":null,"abstract":"","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"38 1","pages":""},"PeriodicalIF":7.3,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146000597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-18DOI: 10.1016/j.ijmecsci.2026.111281
Jin Zhou , Xinyi Song , James Dear , Di Zhang , Jun Peng , Shuming Yang , John P. Dear , W.J. Cantwell
Low velocity impact tests have been performed on flexible laminated films with different layups employing a novel small-scale instrumented drop-weight testing approach. Thermoplastic polyurethane (TPU) and Polyimide (PI) layers were bonded together using an optically clear adhesive (OCA) to produce six types of flexible laminated film. An impact performance coefficient (Kt) has been defined to evaluate the impact resistance of the different films, which considers in one relationship the effect of absorbed energy, peak load and impact duration. Following testing, a lamination based on a TPU/TPU/PI (TTP) flexible film was identified as giving a superior impact performance. Finite element analyses of the load-time and energy-time curves showed good agreement with the experimental results. It has been shown that as the TPU content increases, Kt initially increases and then decreases. The modelling, as well as the experiments, show a maximum value of Kt was obtained when the TPU volume fraction was approximately 60%. This quantitative design guideline for TPU content and configuration is novel and provides valuable insights for developing impact-resistant protective films. The proposed methodology, combining small-scale drop-weight testing with finite element modelling, represents a new approach for assessing and optimizing flexible laminated films.
{"title":"Drop-weight impact performance of flexible laminated films","authors":"Jin Zhou , Xinyi Song , James Dear , Di Zhang , Jun Peng , Shuming Yang , John P. Dear , W.J. Cantwell","doi":"10.1016/j.ijmecsci.2026.111281","DOIUrl":"10.1016/j.ijmecsci.2026.111281","url":null,"abstract":"<div><div>Low velocity impact tests have been performed on flexible laminated films with different layups employing a novel small-scale instrumented drop-weight testing approach. Thermoplastic polyurethane (TPU) and Polyimide (PI) layers were bonded together using an optically clear adhesive (OCA) to produce six types of flexible laminated film. An impact performance coefficient (<em>K<sub>t</sub></em>) has been defined to evaluate the impact resistance of the different films, which considers in one relationship the effect of absorbed energy, peak load and impact duration. Following testing, a lamination based on a TPU/TPU/PI (TTP) flexible film was identified as giving a superior impact performance. Finite element analyses of the load-time and energy-time curves showed good agreement with the experimental results. It has been shown that as the TPU content increases, <em>K<sub>t</sub></em> initially increases and then decreases. The modelling, as well as the experiments, show a maximum value of <em>K<sub>t</sub></em> was obtained when the TPU volume fraction was approximately 60%. This quantitative design guideline for TPU content and configuration is novel and provides valuable insights for developing impact-resistant protective films. The proposed methodology, combining small-scale drop-weight testing with finite element modelling, represents a new approach for assessing and optimizing flexible laminated films.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"312 ","pages":"Article 111281"},"PeriodicalIF":9.4,"publicationDate":"2026-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-18DOI: 10.1016/j.ijmecsci.2026.111284
Haipeng Liao , Yingwei Kuang , Xiaohu Li , Wenting Du , Liang Cheng , Qin Zhang , Emad Maawad , Zhenmin Wang
This study reveals the multiscale microstructure evolution and residual stress distribution of SUS304, which was fabricated by local dry underwater welding (LDUW) with a water depth of 0.2 m and average current of 163 A. By integrating high-energy synchrotron-XRD (HE-SXRD) with microstructural analysis methods (SEM, EBSD, and TEM) and mechanical tests, quantitative correlations between microstructural features (grain size, phase fraction, etc.) and mechanical properties were accurately established. The results demonstrate a gradient microstructure along the path from the base metal (BM) to the heat-affected zone (HAZ) and to the weld metal (WM), the increased grain size (14.6 → 19.6 → 33.3 μm), decreased dislocation density (4.0 → 3.0 → 1.4 × 1013 m-2), and almost increased ferrite fraction (2.8% → 2.5% → 5.6%) were achieved, which was attributed to arc-induced recrystallization and recovery in the local dry cavity despite the rapid underwater cooling. Residual stresses at the weld centre reached maximum 407.2 MPa (longitudinal) and 259.7 MPa (transverse). The weldment exhibited ultimate tensile strength and elongation of 666.7 MPa and 30.7%, respectively, which were lower than that of the BM (816.2 MPa and 56.2%). This mechanical performance decline was caused by the coarse-grained structure, inhomogeneous microstructure, and high residual stress distribution in the underwater weldment, which collectively impaired its ability to undergo coordinated plastic deformation. This work provides a practical guidance for regulating the microstructure and mechanical performance in underwater welding field.
{"title":"Microstructure evolution of underwater welded SUS304 revealed by high-energy synchrotron-XRD","authors":"Haipeng Liao , Yingwei Kuang , Xiaohu Li , Wenting Du , Liang Cheng , Qin Zhang , Emad Maawad , Zhenmin Wang","doi":"10.1016/j.ijmecsci.2026.111284","DOIUrl":"10.1016/j.ijmecsci.2026.111284","url":null,"abstract":"<div><div>This study reveals the multiscale microstructure evolution and residual stress distribution of SUS304, which was fabricated by local dry underwater welding (LDUW) with a water depth of 0.2 m and average current of 163 A. By integrating high-energy synchrotron-XRD (HE-SXRD) with microstructural analysis methods (SEM, EBSD, and TEM) and mechanical tests, quantitative correlations between microstructural features (grain size, phase fraction, etc.) and mechanical properties were accurately established. The results demonstrate a gradient microstructure along the path from the base metal (BM) to the heat-affected zone (HAZ) and to the weld metal (WM), the increased grain size (14.6 → 19.6 → 33.3 μm), decreased dislocation density (4.0 → 3.0 → 1.4 × 10<sup>13</sup> m<sup>-2</sup>), and almost increased ferrite fraction (2.8% → 2.5% → 5.6%) were achieved, which was attributed to arc-induced recrystallization and recovery in the local dry cavity despite the rapid underwater cooling. Residual stresses at the weld centre reached maximum 407.2 MPa (longitudinal) and 259.7 MPa (transverse). The weldment exhibited ultimate tensile strength and elongation of 666.7 MPa and 30.7%, respectively, which were lower than that of the BM (816.2 MPa and 56.2%). This mechanical performance decline was caused by the coarse-grained structure, inhomogeneous microstructure, and high residual stress distribution in the underwater weldment, which collectively impaired its ability to undergo coordinated plastic deformation. This work provides a practical guidance for regulating the microstructure and mechanical performance in underwater welding field.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"312 ","pages":"Article 111284"},"PeriodicalIF":9.4,"publicationDate":"2026-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-17DOI: 10.1016/j.ijmecsci.2026.111280
Hangxing LI, Waion WONG, Li CHENG
Optimal design of distributed vibration absorbers for controlling broadband vibration of structures is challenging, mainly because of the modal coupling incurred inside the structure as well as the interplay among multiple absorbers. Without analytical solutions, absorber design usually resorts to numerical optimizations over the full parameter space, which is computationally intensive alongside the risk of being trapped into local optima. Meanwhile, most existing methods are model based, mostly numerical ones, thus adding additional difficulties when the structure is complex with uncertain parameters which are difficult to be accurately apprehended. In this paper, based on the structural response (either simulated or experimentally measured), we propose a model-free and sequential approach for the design of distributed absorbers over an arbitrarily given thin-walled structure to achieve pre-defined target vibration reduction. The proposed approach involves a systematic three-step procedure. Upon identifying the Excitation-Dependent Representative Basis (EDRB) of the primary structure, locations of the absorbers are first determined to ensure their strong coupling with the targeted and higher-frequency EDRB while minimizing the interaction with the lower-frequency ones. Subsequently, absorber masses are determined through an inverse design approach, followed by the optimization of their uncoupled frequencies and damping coefficients through an iteration procedure in which only two parameters are involved. The effectiveness of the proposed approach is validated through both numerical simulations on representative cases and experiments on a complex structure.
{"title":"Model-free sequential design of absorbers for customized vibration control","authors":"Hangxing LI, Waion WONG, Li CHENG","doi":"10.1016/j.ijmecsci.2026.111280","DOIUrl":"10.1016/j.ijmecsci.2026.111280","url":null,"abstract":"<div><div>Optimal design of distributed vibration absorbers for controlling broadband vibration of structures is challenging, mainly because of the modal coupling incurred inside the structure as well as the interplay among multiple absorbers. Without analytical solutions, absorber design usually resorts to numerical optimizations over the full parameter space, which is computationally intensive alongside the risk of being trapped into local optima. Meanwhile, most existing methods are model based, mostly numerical ones, thus adding additional difficulties when the structure is complex with uncertain parameters which are difficult to be accurately apprehended. In this paper, based on the structural response (either simulated or experimentally measured), we propose a model-free and sequential approach for the design of distributed absorbers over an arbitrarily given thin-walled structure to achieve pre-defined target vibration reduction. The proposed approach involves a systematic three-step procedure. Upon identifying the Excitation-Dependent Representative Basis (EDRB) of the primary structure, locations of the absorbers are first determined to ensure their strong coupling with the targeted and higher-frequency EDRB while minimizing the interaction with the lower-frequency ones. Subsequently, absorber masses are determined through an inverse design approach, followed by the optimization of their uncoupled frequencies and damping coefficients through an iteration procedure in which only two parameters are involved. The effectiveness of the proposed approach is validated through both numerical simulations on representative cases and experiments on a complex structure.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"312 ","pages":"Article 111280"},"PeriodicalIF":9.4,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-17DOI: 10.1016/j.ijmecsci.2026.111270
Chen Xu , Lei Guo , Jizhuang Hui , Liying Zhu , Xiaohui Liu , Qichao Jin , Shuming Yang
In ultra-precision hybrid abrasive machining of single-crystal silicon carbide (SiC) using fixed and loose diamond abrasives, the complex interactions between abrasives and workpiece render the material removal mechanisms insufficiently understood. To address this limitation, molecular dynamics (MD) simulations were employed to investigate the coupled motion behavior of the abrasives and the corresponding material removal process. The results show that material removal is dominated by cutting and plowing, driven by the sliding motion of the fixed abrasive. Conversely, the loose abrasive contributes primarily through rolling, which improves surface quality by compressing displaced atoms back into the machined surface. Increasing the cutting depth and transverse spacing enlarges the contact area between the abrasives and the workpiece, while promoting a partial transition from rolling to sliding in the loose abrasive motion, thereby enhancing material removal efficiency. However, an elevated cutting depth also intensifies the friction force, internal stress, and temperature, aggravating subsurface damage (SSD) and phase transformation. In addition, excessive cutting depths and transverse spacings weaken the compaction effect induced by the rolling of the loose abrasive, thereby limiting surface roughness reduction. By regulating the cutting depth and transverse spacing, both material removal rate (MRR) and surface quality can be improved. These findings clarify the mechanisms by which abrasive motion governs material removal and provide a framework for optimizing the hybrid abrasive machining of hard and brittle materials.
{"title":"Material removal mechanisms in hybrid fixed-loose abrasive machining of SiC","authors":"Chen Xu , Lei Guo , Jizhuang Hui , Liying Zhu , Xiaohui Liu , Qichao Jin , Shuming Yang","doi":"10.1016/j.ijmecsci.2026.111270","DOIUrl":"10.1016/j.ijmecsci.2026.111270","url":null,"abstract":"<div><div>In ultra-precision hybrid abrasive machining of single-crystal silicon carbide (SiC) using fixed and loose diamond abrasives, the complex interactions between abrasives and workpiece render the material removal mechanisms insufficiently understood. To address this limitation, molecular dynamics (MD) simulations were employed to investigate the coupled motion behavior of the abrasives and the corresponding material removal process. The results show that material removal is dominated by cutting and plowing, driven by the sliding motion of the fixed abrasive. Conversely, the loose abrasive contributes primarily through rolling, which improves surface quality by compressing displaced atoms back into the machined surface. Increasing the cutting depth and transverse spacing enlarges the contact area between the abrasives and the workpiece, while promoting a partial transition from rolling to sliding in the loose abrasive motion, thereby enhancing material removal efficiency. However, an elevated cutting depth also intensifies the friction force, internal stress, and temperature, aggravating subsurface damage (SSD) and phase transformation. In addition, excessive cutting depths and transverse spacings weaken the compaction effect induced by the rolling of the loose abrasive, thereby limiting surface roughness reduction. By regulating the cutting depth and transverse spacing, both material removal rate (MRR) and surface quality can be improved. These findings clarify the mechanisms by which abrasive motion governs material removal and provide a framework for optimizing the hybrid abrasive machining of hard and brittle materials.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"312 ","pages":"Article 111270"},"PeriodicalIF":9.4,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-16DOI: 10.1016/j.ijmecsci.2026.111278
Xi Wang , Jidong Zhao , Zhen-Yu Yin , Xiaoying Zhuang
The deep energy/Ritz method (DEM/DRM) offers advantages over physics-informed neural networks (PINNs), including reduced derivative orders and accelerated training. However, DEM encounters critical failure modes in both forward and inverse analyses, with underlying mechanisms and robust remedies remaining underexplored. To our knowledge, this work presents the first formal analysis that systematically identifies two distinct DEM failure modes, forward divergence and inverse collapse, and establishes their root causes along with sound countermeasures. In forward analysis, DEM training may diverge due to artificial energy minimization, where abrupt loss reductions below the physically admissible minimum occur with catastrophic errors, which are thermodynamically infeasible but remain unclarified. We prove that this stems from numerical integration inaccuracies in neural network representations, inducing pathological overfitting with escalating complexity. In inverse problems involving unknown material parameters or Neumann boundary conditions, we reveal that DEM fails because its variational formulation with respect to such unknown parameters is not well defined. To overcome these limitations, we propose a novel Energy-Informed Neural Operator Network (EINO), integrating a new regularization technique. Our framework incorporates: (1) a finite-element-informed regularization that lower-bounds the loss by the ground-truth FEM energy to ensure stability, and (2) a deep operator architecture with two-stage training that reconstructs unknown parameters/boundary conditions by embedding inverse constraints. Comprehensive benchmarks on 2D/3D linear/nonlinear solid mechanics and diffusion problems confirm EINO’s superiority over DEM. EINO resolves forward divergence even on very coarse meshes and achieves substantially lower parameter errors in inverse discovery (e.g., <2% relative error under 200% Gaussian noise). The elucidated failure mechanisms and the EINO framework collectively promote physics-constrained learning for surrogate modeling and inverse uncertainty quantification, minimizing the reliance on labeled data.
{"title":"Failure mechanisms and resolution in deep energy method","authors":"Xi Wang , Jidong Zhao , Zhen-Yu Yin , Xiaoying Zhuang","doi":"10.1016/j.ijmecsci.2026.111278","DOIUrl":"10.1016/j.ijmecsci.2026.111278","url":null,"abstract":"<div><div>The deep energy/Ritz method (DEM/DRM) offers advantages over physics-informed neural networks (PINNs), including reduced derivative orders and accelerated training. However, DEM encounters critical failure modes in both forward and inverse analyses, with underlying mechanisms and robust remedies remaining underexplored. To our knowledge, this work presents the first formal analysis that systematically identifies two distinct DEM failure modes, forward divergence and inverse collapse, and establishes their root causes along with sound countermeasures. In forward analysis, DEM training may diverge due to artificial energy minimization, where abrupt loss reductions below the physically admissible minimum occur with catastrophic errors, which are thermodynamically infeasible but remain unclarified. We prove that this stems from numerical integration inaccuracies in neural network representations, inducing pathological overfitting with escalating complexity. In inverse problems involving unknown material parameters or Neumann boundary conditions, we reveal that DEM fails because its variational formulation with respect to such unknown parameters is not well defined. To overcome these limitations, we propose a novel Energy-Informed Neural Operator Network (EINO), integrating a new regularization technique. Our framework incorporates: (1) a finite-element-informed regularization that lower-bounds the loss by the ground-truth FEM energy to ensure stability, and (2) a deep operator architecture with two-stage training that reconstructs unknown parameters/boundary conditions by embedding inverse constraints. Comprehensive benchmarks on 2D/3D linear/nonlinear solid mechanics and diffusion problems confirm EINO’s superiority over DEM. EINO resolves forward divergence even on very coarse meshes and achieves substantially lower parameter errors in inverse discovery (e.g., <2% relative error under 200% Gaussian noise). The elucidated failure mechanisms and the EINO framework collectively promote physics-constrained learning for surrogate modeling and inverse uncertainty quantification, minimizing the reliance on labeled data.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"313 ","pages":"Article 111278"},"PeriodicalIF":9.4,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-16DOI: 10.1016/j.ijmecsci.2026.111279
Kai Ma , Zhanqiang Liu , Bing Wang , Yukui Cai , Qinghua Song , Pengyang Wang
Fractures in porous, granular, and brittle materials are well known to display avalanche dynamics, whereas metallic alloys are generally believed to exhibit smooth and continuous fracture behavior. Whether the avalanche behavior also occurs during the fracture process of metallic materials remains unknown. Here, we reveal the microcrack avalanche phenomenon in a magnesium alloy during the intermittent shear fracture process induced by adopting a unique offset-compression loading. Under the collective interactions of microcracks within shear bands, pinning and depinning of the shear band can be triggered, leading to the sudden and discontinuous shear fracture events. Based on further in-situ measurements from loading forces and acoustic emission waves, we find a series of microcrack avalanches with a scale-free size distribution, characterized by the spontaneous evolution of intermittent shear fractures into a self-organized criticality state. Moreover, by modeling shear bands as domain walls, the intermittent fracture behavior is shown to conform to the avalanche dynamics predicted by the pinning-depinning model in the Barkhausen effect. Hence, our experiments and simulations demonstrate the collective dynamics of microcracks in the shear fracture failure of the metal alloy. This work extends the avalanche behavior in metals from the plastic deformation to the following fracture process.
{"title":"Microcrack avalanche behavior during intermittent shear fracture for metallic alloy","authors":"Kai Ma , Zhanqiang Liu , Bing Wang , Yukui Cai , Qinghua Song , Pengyang Wang","doi":"10.1016/j.ijmecsci.2026.111279","DOIUrl":"10.1016/j.ijmecsci.2026.111279","url":null,"abstract":"<div><div>Fractures in porous, granular, and brittle materials are well known to display avalanche dynamics, whereas metallic alloys are generally believed to exhibit smooth and continuous fracture behavior. Whether the avalanche behavior also occurs during the fracture process of metallic materials remains unknown. Here, we reveal the microcrack avalanche phenomenon in a magnesium alloy during the intermittent shear fracture process induced by adopting a unique offset-compression loading. Under the collective interactions of microcracks within shear bands, pinning and depinning of the shear band can be triggered, leading to the sudden and discontinuous shear fracture events. Based on further in-situ measurements from loading forces and acoustic emission waves, we find a series of microcrack avalanches with a scale-free size distribution, characterized by the spontaneous evolution of intermittent shear fractures into a self-organized criticality state. Moreover, by modeling shear bands as domain walls, the intermittent fracture behavior is shown to conform to the avalanche dynamics predicted by the pinning-depinning model in the Barkhausen effect. Hence, our experiments and simulations demonstrate the collective dynamics of microcracks in the shear fracture failure of the metal alloy. This work extends the avalanche behavior in metals from the plastic deformation to the following fracture process.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"312 ","pages":"Article 111279"},"PeriodicalIF":9.4,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}