{"title":"Tunable periodic surface wave barriers via water level variation","authors":"Meng Zhang , Zhao-Dong Xu , Kemeng Cui , Xin Wang","doi":"10.1016/j.ijmecsci.2025.110873","DOIUrl":"10.1016/j.ijmecsci.2025.110873","url":null,"abstract":"<div><div>The bandgap characteristics of traditional periodic wave barriers are limited by their fixed geometric shape and material properties, making them difficult to adapt to complex broadband vibration sources that may change at any time. To address this issue, this paper proposes a tunable surface wave periodic vibration isolation barrier based on water level variation. This structure achieves continuous tunability of the bandgap by regulating the water level in the trench, thereby flexibly responding to changes in vibration sources of different frequencies. Using the finite element method, the paper systematically analyzes the mechanism by which water level variation regulate the position and width of the bandgap, and validates its vibration isolation performance through model experiments. The results show that as the water level rises, the bandgap shifts toward lower frequencies. By utilizing the bandgap differences of periodic unit cells with different water levels to construct a broadband vibration isolation barrier, complementary coverage of the bandgap can be effectively achieved. Continuous broadband attenuation is realized in the range of 5.2 Hz to 67.3 Hz, with a maximum displacement attenuation of 40 dB. Further application of this structure to simulate responses to real seismic waves and on-site subway environmental vibrations was conducted. By matching the corresponding variable water level periodic wave barriers to the source frequency, targeted attenuation of the target frequency was achieved. The experimental results showed good consistency with theoretical predictions, verifying the feasibility of the water level-regulated bandgap mechanism in actual engineering applications. This study provides a foundation for constructing efficient, adjustable, and broadbandgap structures.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"307 ","pages":"Article 110873"},"PeriodicalIF":9.4,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222945","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}
Linyuan Kou , Yixi Zhao , Guan Wang , Xuan Cheng , Yawen Ouyang , Zhongqi Yu
{"title":"In situ study of micro-damage evolution in 2195 aluminum alloy","authors":"Linyuan Kou , Yixi Zhao , Guan Wang , Xuan Cheng , Yawen Ouyang , Zhongqi Yu","doi":"10.1016/j.ijmecsci.2025.110848","DOIUrl":"10.1016/j.ijmecsci.2025.110848","url":null,"abstract":"<div><div>2195 aluminum alloy has emerged as a highly valuable aerospace material due to its exceptional strength-to-weight ratio. However, its limited ductility and crack susceptibility during room-temperature forming restrict wider application. To elucidate the underlying damage mechanisms, this study employed multi-stage in situ tensile experiments combined with microscopic digital image correlation (micro-DIC) to quantitatively analyze the damage mechanisms and evolution of second-phase particles with varying characteristics. Additionally, a finite element model based on actual microstructure and deformation boundary conditions was developed, enabling precise simulation of the deformation process. The experimental results indicate particle size significantly affects the failure strain, while particle shape governs the damage mechanisms. The strain localization induced by the fracture of irregular and coarse particles promotes the formation of localized deformation bands, thereby activating the damage mechanism of particle debonding. Simulation further reveals that post-yield stress concentration and elevated stress triaxiality within irregular particles trigger damage initiation. Subsequent matrix regions near fractured particles exhibit increased stress triaxiality, accelerating matrix degradation. Beyond the ultimate tensile strength, the substantial increase in shear stress caused by interface debonding facilitates the coalescence of voids along the strain bands. These findings provide mechanistic insights into particle-induced damage processes and offer predictive guidelines for enhancing the room-temperature formability of 2xxx series aluminum alloys.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"306 ","pages":"Article 110848"},"PeriodicalIF":9.4,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159323","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}
{"title":"Ultrasonic backscattering method for characterizing the non-uniform microstructure of polycrystals","authors":"Bohan Liu , Ming Huang , Dehan Zhang , Xudong Yu","doi":"10.1016/j.ijmecsci.2025.110831","DOIUrl":"10.1016/j.ijmecsci.2025.110831","url":null,"abstract":"<div><div>The characterization of polycrystalline microstructure is crucial for understanding and optimizing mechanical properties. Although ultrasonic backscattering has proven effective for uniform grain structures, it remains challenging to apply to non-uniform, multilayered grain distributions. In this paper, we present a novel ultrasonic backscattering method tailored to such heterogeneous microstructures. We develop a theoretical model to describe backscattering in such materials and propose a feature quantity, <span><math><msub><mrow><mi>N</mi></mrow><mrow><mtext>RMS</mtext></mrow></msub></math></span>, to capture time-domain amplitude changes caused by microstructure transitions. The approach is first validated on synthetic layered polycrystals, where 3D grain-scale finite element (FE) simulations confirm excellent agreement with theoretical predictions. A subsequent 2D FE parametric study demonstrates robust detection of interfaces between regions of differing grain sizes for various interface depths and grain-size ratios. We further corroborate the method’s effectiveness through experiments on a welded sample and detailed FE simulations based on the electron backscatter diffraction data. Collectively, these results highlight the capability of ultrasonic backscattering for non-destructive evaluation of complex polycrystalline structures, especially in industrial applications that require rapid assessment of grain size variations (e.g. welded joints or additively manufactured metal parts).</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"306 ","pages":"Article 110831"},"PeriodicalIF":9.4,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121284","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}
{"title":"Localized necking and tensile failure under global compression in metallic hierarchical solids","authors":"Naresh Chockalingam S., Narayan K. Sundaram","doi":"10.1016/j.ijmecsci.2025.110830","DOIUrl":"10.1016/j.ijmecsci.2025.110830","url":null,"abstract":"<div><div>Engineered hierarchical solids have attracted increasing attention for their superior mass-specific mechanical properties. Using a remeshing-based continuum finite element (FE) framework, we reveal that two-scale metallic hierarchical solids exhibit a distinct, localized deformation mode that involves necking and fracture of microscale tension members even at small, in-plane compressive strains (0.03–0.05). Such tensile failure is always preceded by plastic buckling of a complementary compression member. This combined necking-buckling (NB) mode explains the premature microscale fracture observed in compression experiments on hierarchical solids. We show that truss action in macroscale members induces tension in some microscale members, and hence triggers the NB mode in hierarchical solids with diverse macroscale geometries (hexagon, diamond, re-entrant hexagon) paired with triangular substructures. For slender microscale members, necking is sometimes prevented by a competing failure mode that involves coordinated buckling (CB) of multiple members. We conduct a theoretical elastoplastic stability analysis to delineate the parametric regions over which the NB and CB modes predominate for hexagonal macrostructures. The NB mode prevails at high densities or high scale ratios, and the CB mode at low densities and low scale ratios. Importantly, our custom remeshing-based FE scheme is indispensable to resolve the localized large plastic strains, ductile failure, and complex local deformation patterns (including cusp formation) that are characteristic of the NB and CB modes. The occurrence of these modes has consequences for energy absorption by hierarchical solids, and hence influences their design.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"306 ","pages":"Article 110830"},"PeriodicalIF":9.4,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159337","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}
Qingheng Liu , Qi Liu , Yufang Zhou , Junfeng Liu , Yifan Dai , Shanyong Chen , Tao Lai
{"title":"Identifying vibration characteristics of hemispherical resonators with mass defects","authors":"Qingheng Liu , Qi Liu , Yufang Zhou , Junfeng Liu , Yifan Dai , Shanyong Chen , Tao Lai","doi":"10.1016/j.ijmecsci.2025.110856","DOIUrl":"10.1016/j.ijmecsci.2025.110856","url":null,"abstract":"<div><div>The hemispherical resonant gyroscope (HRG) has become a key component of inertial navigation systems. Existing studies primarily focus on the effects of the first three harmonic components of non-uniform mass distribution defects in the hemispherical resonator. However, the mechanisms by which such defects alter the resonator’s vibration characteristics remain insufficiently characterized and lack robust experimental verification, undermining the accuracy and efficiency of repair and adjustment processes. This study presents a novel analytical framework, which derives multi-order coupled vibration equations for hemispherical resonators with mass defects and develops a comprehensive model to characterize their vibrational behavior. Additionally, a simple yet effective method for identifying mass defects is proposed. For the first time, triangulation consistency among the theoretical model, experimental results, and identification methodology is demonstrated. The proposed characterization model significantly enhances the accuracy of vibration analysis and reveals distinct variations in the quality factor and damping axis orientation due to mass non-uniformity. These findings provide new insights into the coupled vibration dynamics of hemispherical resonators and establish a validated theoretical basis for high-precision and efficient mass trimming techniques, offering valuable guidance for the performance optimization of next-generation navigation systems and other applications requiring precise vibration control.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"306 ","pages":"Article 110856"},"PeriodicalIF":9.4,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145159333","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}
Bin Jia , Nengyin Wang , Yabin Jin , Yongdong Pan , Kai Zhang , Yanxun Xiang , Yong Li
{"title":"Acoustic ventilation barrier realized by impedance modulation via non-local metasurface","authors":"Bin Jia , Nengyin Wang , Yabin Jin , Yongdong Pan , Kai Zhang , Yanxun Xiang , Yong Li","doi":"10.1016/j.ijmecsci.2025.110837","DOIUrl":"10.1016/j.ijmecsci.2025.110837","url":null,"abstract":"<div><div>Conventional acoustic barriers often face inherent compromises among noise insulation, ventilation efficiency, bandwidth, and pressure loss. In this study, we introduce a broadband acoustic ventilated barrier utilizing an impedance-modulated non-local metasurface, which enables precise control of the effective acoustic impedance through coupled neck-embedded Helmholtz resonator (NEHR) units. The innovative parallel configuration of these units facilitates strong non-local coupling, effectively suppressing anti-resonance and overcoming the narrowband limitations typical of traditional resonant sound-insulating structures. Experimental results validate the theoretical framework based on the mode matching method, demonstrating that the proposed barrier achieves over 90 % sound energy isolation (exceeding 10 dB transmission loss) across the 600–1600 Hz frequency range while maintaining a 20 % open ventilation area. This work establishes a new paradigm for ventilated sound-insulating barriers and offers a promising solution for broadband acoustic insulation in practical applications requiring simultaneous ventilation.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"307 ","pages":"Article 110837"},"PeriodicalIF":9.4,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222942","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}
Tao Shen , Bo Li , Facai Ren , Enxiang Fan , Jianrui Zhang
{"title":"A monitoring framework for predicting laser directed energy deposition property","authors":"Tao Shen , Bo Li , Facai Ren , Enxiang Fan , Jianrui Zhang","doi":"10.1016/j.ijmecsci.2025.110861","DOIUrl":"10.1016/j.ijmecsci.2025.110861","url":null,"abstract":"<div><div>In Laser directed energy deposition (LDED) additive manufacturing, challenges such as porosity, surface defects, cracks, and the complex relationship between melt pool dynamics and mechanical properties still impede consistent quality control. Traditional monitoring and prediction remain fragmented and signal-specific, limiting early defect discovery and degrading reliability in safety-critical parts. To tackle these limitations, this study introduces a novel data-driven framework integrating multi-level feature fusion and dual-task learning, which significantly improves LDED process monitoring and prediction. This work proposes ResCIFNN, a ResNet-based framework that couples unsupervised, defect-aware clustering with supervised regression under a sliding time-window, enabling defect-informed prediction of tensile behavior. Utilizing melt pool infrared images, simulation data, and quantitative features, ResCIFNN achieves a precise mapping of melt pool dynamics to mechanical properties. Five-fold validation shows robust clustering (Silhouette = 0.7588; DBI = 0.3480). For tensile property prediction, ResCIFNN delivers an RMSE of 0.1113 and R² of 0.9875, surpassing ResNet18 (RMSE = 0.2821, R² = 0.9207) by reducing RMSE by 60.5 % and improving R² by 0.0668. Robustness tests under noise/occlusion yield RMSE ≤ 0.2011; Grad-CAM highlights high-temperature cores and edges, reinforcing interpretability. This pioneering approach not only elevates defect classification and mechanical property prediction but also provides a scalable, interpretable solution for quality assurance, with broad potential for additive manufacturing.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"307 ","pages":"Article 110861"},"PeriodicalIF":9.4,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145223310","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}
Xibin Li , Yanchun Yao , Liang Li , Yongkang Zhu , Fuqian Chu , Bo Zhao
{"title":"Intelligent vortex optimization method for multi-objective VMD in mechanical fault diagnosis","authors":"Xibin Li , Yanchun Yao , Liang Li , Yongkang Zhu , Fuqian Chu , Bo Zhao","doi":"10.1016/j.ijmecsci.2025.110860","DOIUrl":"10.1016/j.ijmecsci.2025.110860","url":null,"abstract":"<div><div>In mechanical system fault signal processing, variational mode decomposition (VMD) is highly sensitive to the selection of the number of intrinsic mode functions and the penalty factor. An inappropriate parameter combination can markedly weaken the decomposition performance and reduce the accuracy of fault diagnosis. To address the limitations of existing approaches in terms of both accuracy and efficiency, this study, inspired by vortex evolution phenomena in nature, proposes a new meta-heuristic (MH) optimization algorithm that integrates a vortex iteration mechanism with parameter distribution characteristics—termed intelligent vortex optimization (IVO) method. IVO method, based on the golden section rule, can rapidly focus on the extremum area, thereby enhancing local convergence performance. By deconstructing low-quality vortices, it strengthens global exploration capability and achieves an effective balance between exploitation and exploration in the search space. Meanwhile, the mutated particles in each generation are able to explore unknown areas, thus avoiding entrapment in local optima. A comparison with the optimization results of the genetic algorithm (GA) demonstrates that IVO outperforms in both accuracy and efficiency, while also exhibiting strong robustness. Furthermore, the IVO method was successfully applied to the VMD parameter optimization task for fault signals in mechanical systems. Experimental results demonstrate that, while ensuring decomposition accuracy, the computational efficiency was improved by 76.27 %. The IVO method expands the optimization perspective of MH methods and provides an efficient solution for addressing multi-objective optimization problems.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"306 ","pages":"Article 110860"},"PeriodicalIF":9.4,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121262","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}
Yupei Jian , Kexiang Wang , Cuipeng Xia , Deqing Huang , Hesheng Han , Guobiao Hu
{"title":"Higher-order defective metamaterial for multi-band low-frequency vibration localization","authors":"Yupei Jian , Kexiang Wang , Cuipeng Xia , Deqing Huang , Hesheng Han , Guobiao Hu","doi":"10.1016/j.ijmecsci.2025.110859","DOIUrl":"10.1016/j.ijmecsci.2025.110859","url":null,"abstract":"<div><div>Defective metamaterials offer significant potential for applications in filtering, sensing, waveguiding, and energy harvesting, owing to defect states capable of localizing vibrational energy. However, constraints from Bragg scattering typically restrict these states to high-frequency ranges, and they are sparse within a single bandgap. Conventional strategies that add multiple defects broaden the spectrum but suffer from inter-defect dispersion that weakens energy concentration. In this study, a novel defective rhombic metamaterial (DRM) is proposed to achieve multi-band low-frequency defect states from a single-point defect. The novelty rests on two mechanisms: (1) the rhombic geometry’s low effective stiffness significantly lowers the bandgap frequency without enlarging lattice size; and (2) the DRM supports higher-order defect states, enabling multiple localized modes to coexist within a single bandgap while maintaining strong localization. The band structures of the DRM are first analysed using finite element (FE) simulations, demonstrating the concept of low-frequency higher-order defect modes. Subsequently, the spectral element method (SEM) is employed to evaluate the transmittance characteristics, followed by parametric studies to explore the influence of geometric parameters on energy-localization behavior. Finally, the theoretical and numerical predictions are validated experimentally, providing the first experimental evidence of higher-order defect modes in the sub-kilohertz range. Overall, this work presents a promising strategy for broadband low-frequency energy localization using compact single-point-defect metamaterials, paving the way for higher power density in miniaturized energy harvesters and enhanced resolution in sensing applications.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"306 ","pages":"Article 110859"},"PeriodicalIF":9.4,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145121261","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}
Zonghui Shi , Changzheng Chen , Dacheng Zhang , Yang Song , Xianming Sun
{"title":"Inverse design and spatial optimization of SFAM via deep learning","authors":"Zonghui Shi , Changzheng Chen , Dacheng Zhang , Yang Song , Xianming Sun","doi":"10.1016/j.ijmecsci.2025.110855","DOIUrl":"10.1016/j.ijmecsci.2025.110855","url":null,"abstract":"<div><div>Pipeline noise is characterized by low-frequency and broadband characteristics, for which space-folded acoustic metamaterials (SFAM) have been proposed as a solution. However, the SFAM design suffers from low efficiency, high errors, and high space occupation. To address these limitations, we proposed a tandem long short-term memory (LSTM)–Transformer autoencoder-like network model for SFAM inverse design. An accurate mapping between structural dimensions and acoustic performance was established using the positional encoding and attention mechanism unique to the Transformer model. More data-implicit features were extracted from the target curves, utilizing the long-term dependencies of the LSTM model. The accurate inverse design of SFAM was realized by concatenating the LSTM model with the pre-trained Transformer model. Through comparison with traditional deep learning networks, such as convolutional neural network (CNN) and multilayer perceptron (MLP), the influence of the model internal structure on the design results was revealed. The experimental results show that the Transformer and LSTM model tandem strategy integrates the advantages, resulting in highly consistent design results with the target curve. Based on multi-objective optimization, the design results were optimized to consider the effects of peak frequency, peak quantity, sound isolation bandwidth, and space occupancy. The two optimized SFAMs not only meet acoustic insulation requirements but also reduce spatial occupancy by 16.81 % and 19.39 %, respectively, providing an efficient and feasible solution for designing acoustic metamaterials under space-constrained conditions.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"306 ","pages":"Article 110855"},"PeriodicalIF":9.4,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145120896","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}