Composite Structures最新文献

{"title":"Tunable mechanical properties of the 3D anticircular-curve transversal-isotropic auxetic structure","authors":"Guo-Feng Li ,&nbsp;Hai-Tao Liu","doi":"10.1016/j.compstruct.2024.118634","DOIUrl":"10.1016/j.compstruct.2024.118634","url":null,"abstract":"<div><div>This work studies a three-dimensional anticircular-curve transversal-isotropic auxetic structure (3D-ATAS) with tunable Poisson’s ratio (<em>υ</em>) and tunable Young’s modulus (<em>E</em>) on the basis of hexagonal symmetry in the transverse plane using the anti-deformation method by the design of inclined rods as circular-curve rods in the opposite direction of the deformation (under compressive loading). By using the energy method, expressions of <em>υ</em> and <em>E</em> of 3D-ATAS are acquired, and based on the periodic boundary conditions, <em>υ</em> and <em>E</em> of 3D-ATAS are parametrically researched through numerical simulation and uniaxial compression experiments. The effects of anticircular-curve rod thickness <em>t</em>, anticircular-curve rod width <em>b</em>, and anticircular-curve cross-section angle <em>θ</em> to <em>υ</em> and <em>E</em> of 3D-ATAS are investigated. The tunable ranges of <em>υ</em> and <em>E</em> of 3D-ATAS are predicted, and the wide range of <em>E</em> is attained. Compared with the 3D circular-curve transversal-isotropic auxetic structure, <em>E</em> of 3D-ATAS is significantly enhanced in different directions, and the maximum enhanced up to 10 times. In the same way, both <em>υ</em> and <em>E</em> of 3D-ATAS are transversal-isotropic.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"351 ","pages":"Article 118634"},"PeriodicalIF":6.3,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142438303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation into the quasi-static/dynamic combined shear-compression behaviors of three honeycomb like structures","authors":"Guijia Gao,&nbsp;Haohua Li,&nbsp;Haibiao Lu,&nbsp;Weili Ren,&nbsp;Yunbo Zhong,&nbsp;Zuosheng Lei","doi":"10.1016/j.compstruct.2024.118639","DOIUrl":"10.1016/j.compstruct.2024.118639","url":null,"abstract":"<div><div>To provide a refined guide for the design and application of optimal crystalline cellular structures (OCCS), an in-depth investigation into the quasi-static and dynamic combined shear-compression behaviors of single-layer (H_p-structure) and double-layer (H_c-structure and T-structure) OCCS with varying relative densities (<em>ρ_r</em>) has been undertaken. First, the three structures of AlSi₁₀Mg with a <em>ρ_r</em> of 25.84 % are manufactured via 3D printing. Then, a battery of quasi-static and dynamic pure compression tests is executed to elucidate the mechanical responses of these structures. Finally, a numerical study is used for exploring the influence of <em>ρ_r</em> on their quasi-static/dynamic combined shear-compression behaviors. The quasi-static/dynamic pure compression results show that, for different compression parameters (<em>σ_pk</em>,<em>σ_pl</em>, <em>σ_m</em>, <em>EA</em>, <em>SEA</em>), the optimal structural representatives (H_p-structure, H_c-structure, or T-structure) in different <em>ρ_r</em> ranges are identified. The dynamic compression deformation mechanisms and theoretical analyses of H_c-structure and T-structure are proposed. As shear angle increases, the shear-compression performance of H_p-structure significantly decreases, while those of H_c-structure and T-structure gradually decrease. Fitted quasi-static/dynamic initial yield envelopes are used to provide design criteria for OCCS.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"352 ","pages":"Article 118639"},"PeriodicalIF":6.3,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Offset-stoichiometric reflowable composite bonding method with adhesive for mitigating strict faying surface tolerances","authors":"Tyler B. Hudson ,&nbsp;Austin J. Smith ,&nbsp;Nicholas J. McWeeney ,&nbsp;Charles T. Dolph ,&nbsp;Jin Ho Kang ,&nbsp;Roberto J. Cano ,&nbsp;Frank L. Palmieri","doi":"10.1016/j.compstruct.2024.118636","DOIUrl":"10.1016/j.compstruct.2024.118636","url":null,"abstract":"<div><div>Inherent susceptibility of adhesive bonds to miniscule quantities of contamination can cause undetectable weakened bonds. For this reason, the Federal Aviation Administration (FAA) places strict regulations on adhesively bonded joints in primary aircraft structures. To meet certification requirements aircraft manufactures resort to redundant load paths in the form of fasteners which inherently add weight to the structure and increase manufacturing time. In prior work, a secondary bonding technique called AERoBOND was developed, which utilized off-stoichiometric epoxy-matrix resins to facilitate reflow and diffusion of the resin within the joint interface during a secondary bonding/cure process, thus achieving a bond similar to a co-cured joint. However, the AERoBOND process required tight spatial tolerances between the two parts being joined. This study examined the utilization of conventional adhesive with the AERoBOND method to act as a filler in the joint line, effectively reducing the need for tight tolerances on the joining parts and serving as a flexible alternative for existing manufacturing processes. Ultrasonic inspection, optical microscopy, and ASTM International standard tests were performed to analyze the joints for defects and to quantify the mode-I and mode-II interlaminar fracture toughness and short beam strength of the proposed methodology with varying manufacturing parameters. The comprehensive results indicate that the AERoBOND+ method with and without surface preparation performs comparably to co-cured and conventional, adhesively bonded joints when secondary cured in an autoclave with 791 kPa of pressure. As an example, the AERoBOND+ panel without surface preparation bonded with 791 kPa of pressure (referred to as AB+3 throughout paper) had a mode-I fracture toughness (G_Ic) of 0.643 kJ/m² and a mode-II fracture toughness (G_IIc) of 4.000 kJ/m² in the non-precracked condition and 4.218 kJ/m² in the precracked condition at the adhesive-to-prepreg interface. These results were 96 %, 142 %, and 217 %, respectively, of a co-cured baseline panel (referred to as C1 throughout paper).</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"351 ","pages":"Article 118636"},"PeriodicalIF":6.3,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shear performance of GFRP reinforced UHPC short beams","authors":"Omar Salman,&nbsp;Farid Abed,&nbsp;Yazan Alhoubi","doi":"10.1016/j.compstruct.2024.118637","DOIUrl":"10.1016/j.compstruct.2024.118637","url":null,"abstract":"<div><div>This paper investigated experimentally the shear performance of ultra-high-performance concrete (UHPC) deep beams reinforced longitudinally with glass fiber reinforced polymer (GFRP) bars without web reinforcements. Ten beams were cast, in which seven were longitudinally reinforced with GFRP bars, while the remaining three were reinforced with steel bars for comparison. All beams had similar lengths and widths of 2000 mm and 150 mm, respectively, while the depths varied. The test parameters included the effective depth (d), shear span-to-depth ratio (a/d), number of longitudinal bars, and longitudinal reinforcement ratio (ρ). All the GFRP reinforced beams had higher shear capacities and lower post cracking stiffness than their steel counterparts. The experimental results show that varying the test parameters have a significant impact on the shear capacity of the beams. For instance, decreasing the a/d ratio for the GFRP reinforced beams from 1.8 to 1.5 and from 1.8 to 1.1 increased the load carrying capacity by 33 % and 95 %, respectively. The experimental results for the shear capacity were compared against the predictions obtained using the strut and tie method as per the ACI-318–19 and CSA-S806-12 codes. The failure load predictions by the ACI and CSA code showed the same trends as those shown in the experimental results. Moreover, both codes were conservative in predicting the shear capacities.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"351 ","pages":"Article 118637"},"PeriodicalIF":6.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142438346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An interpretable machine learning-based model for shear resistance prediction of CFRP-strengthened RC beams using experimental and synthetic dataset","authors":"Amirhossein Mohammadi ,&nbsp;Joaquim A.O. Barros ,&nbsp;José Sena-Cruz","doi":"10.1016/j.compstruct.2024.118632","DOIUrl":"10.1016/j.compstruct.2024.118632","url":null,"abstract":"<div><div>Existing analytical models for predicting the shear resistance of RC beams strengthened with externally bonded CFRP reinforcements exhibit deficient performance due to their inability to accurately capture the complex resisting mechanisms. Combined with significant statistical uncertainties in shear failure, driven by its brittle nature, this further undermines the reliability of these models. To address these limitations, this study leverages Machine Learning (ML) to develop more robust and reliable predictive tool. A rigorous feature-selection process identified eight predictors as the most influential. Subsequently, nine ML-algorithms were trained on a refined experimental dataset comprising 239 beams, with XGBoost emerging as the top performer. This model also outperformed established models like<!--> <em>f</em>ib Bulletin-90 and ACI 2023 models. However, the limited scope of the experimental dataset constrained the model’s predictive performance especially when separately evaluated on beams strengthened with U-wraps, full wraps or side-bonded FRP configurations. Therefore, to achieve a more reliable model a synthetic dataset was generated using Tabular Variational Auto-Encoder. The XGBoost model trained with the synthetic dataset significantly improved the performance of the former model and exhibited better predictions for all strengthening configurations. Finally, to ensure the physical consistency of predictions, values obtained from the SHapley Additive exPlanations method were analysed.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"351 ","pages":"Article 118632"},"PeriodicalIF":6.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Multi-scale impact of geometric uncertainty on the interface bonding reliability of metal/polymer-based composites hybrid (MPH) structures","authors":"Wenfeng Pan ,&nbsp;Lingyu Sun ,&nbsp;Xudong Yang ,&nbsp;Yiben Zhang ,&nbsp;Jiaxing Sun ,&nbsp;Jiachen Shang ,&nbsp;Zhengqing Yang ,&nbsp;ChengDong Xu","doi":"10.1016/j.compstruct.2024.118640","DOIUrl":"10.1016/j.compstruct.2024.118640","url":null,"abstract":"<div><div>Metal/polymer-based composites hybrid (MPH) structures combine the high strength of metals with the low density of polymer-based composites, making them widely used in automotive applications. However, the random characteristics of the microgeometry at the pretreated MPH interface have made it challenging to predict its interface bonding failure probability accurately and quickly. This paper presents an advanced FE² prediction method for bonding performance of MPH interface based on multi-fidelity regression and artificial neural networks (ANNs). When compared to experimental fracture mechanics results for failure mode I and II, the prediction errors for peak loads are 3.9 % and 5.6 %, respectively. At same time, the computational efficiency is over 6 times higher than that of traditional FE² methods. Additionally, how interface microstructure parameters affect the tensile/shear performance, crack initiation, and propagation directions are investigated at the micro-scale. Under combined tensile/shear loads, the propagation mechanisms of interface microgeometry uncertainties in MPH are revealed theoretically. An interface design method with a high adhesion probability is proposed, identifying high load-bearing areas within the feasible design domain under bending loads for MPH structures. This provides a quickly accessible parameter matching scheme during conceptual design, offering a theoretical foundation for the application of MPH structures in engineering fields.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"351 ","pages":"Article 118640"},"PeriodicalIF":6.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Topology optimization based on the improved high-order RAMP interpolation model and bending properties research for curved square honeycomb sandwich structures","authors":"Xu Zhang ,&nbsp;Gao Duan ,&nbsp;Yan Fang ,&nbsp;Xuechuan Yin ,&nbsp;Wei Li","doi":"10.1016/j.compstruct.2024.118643","DOIUrl":"10.1016/j.compstruct.2024.118643","url":null,"abstract":"<div><div>Curved honeycomb sandwich structures with larger surface areas effectively reduce the number of fasteners and connectors, resulting in weight reduction, cost savings, and reliability improvement. Square honeycombs exhibit higher in-plane tensile strength, and are more compatible with mechanical components. Topology optimization can realize the variable-density design of square honeycombs, enhancing the strength and stiffness of curved sandwich structures, but the high-order Rational Approximation of Material Properties (RAMP) interpolation model with a fast convergence rate has the relatively poor clarity and stability in topology boundaries. Hence, a variable-density topology optimization method based on the improved high-order RAMP model is developed for curved square honeycomb sandwich structures. The high-order RAMP interpolation model is improved by incorporating a minimum modulus term into the material interpolation function and employing the Bi-directional Evolutionary Structural Optimization (BESO) to refine the Optimality Criteria (OC) method. A functional relationship between the wall thickness of cross-shaped cells (i.e., simplified models of four adjacent square cells arranged in a cross) and the relative density of topology units is constructed using a density mapping method, and the topology optimization with the relative density of cross-shaped cells as the design variable is performed to minimize the compliance of the core. Three-point bending tests are conducted on 3D printed non-optimized and optimized curved honeycomb sandwich structures with different core material retention rates and panel thicknesses, and the experimental results are compared with those of simulations to explore the bending properties and failure behaviors. The results indicate that the modified high-order RAMP interpolation model enhances the clarity and stability of topology structures, the variable-density topology optimization significantly improves the bending properties of curved square honeycomb sandwich structures, and the experimental and numerical results are largely consistent.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"351 ","pages":"Article 118643"},"PeriodicalIF":6.3,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modified cure cycles for increased fatigue performance of fiber metal laminates","authors":"Johannes Wiedemann ,&nbsp;Selim Mrzljak ,&nbsp;Josef Koord ,&nbsp;Christian Hühne ,&nbsp;Frank Walther","doi":"10.1016/j.compstruct.2024.118631","DOIUrl":"10.1016/j.compstruct.2024.118631","url":null,"abstract":"<div><div>Modified (MOD) cure cycles that deviate from the manufacturer’s recommended cure profile can reduce the inherent thermally induced residual stresses (TRS) in fiber metal laminates (FML). Literature shows that MOD cycles do not adversely affect the material properties but enhance the quasi-static material strength. However, the literature does not comprehensively discuss the impact of MOD cycles on material performance during cyclic fatigue loading. This paper, therefore, investigates how MOD cycles influence the fatigue characteristics of different FML layups made of carbon fiber-reinforced polymer (CFRP) and steel. The experimental results confirm that the quasi-static material strength and the modulus of the FML are increased when using MOD cure cycles. The evaluation of fatigue tests with digital image correlation, thermography, and electrical resistance measurements of notched specimens shows that a reduction of TRS delays damage initiation in the metal facesheets and decreases the crack growth rate until facesheet failure. The results further show that layup-dependent parameters, the maximum stress in the metal sheets, and metal sheet thickness significantly govern the evolution of fatigue damage. In summary, modified cure cycles are an efficient tool to enhance the quasi-static and fatigue performance of CFRP-steel hybrid laminates.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"351 ","pages":"Article 118631"},"PeriodicalIF":6.3,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142433166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Quantum computing with error mitigation for data-driven computational homogenization","authors":"Zengtao Kuang ,&nbsp;Yongchun Xu ,&nbsp;Qun Huang ,&nbsp;Jie Yang ,&nbsp;Chafik El Kihal ,&nbsp;Heng Hu","doi":"10.1016/j.compstruct.2024.118625","DOIUrl":"10.1016/j.compstruct.2024.118625","url":null,"abstract":"<div><div>As a crossover frontier of physics and mechanics, quantum computing is showing its great potential in computational mechanics. However, quantum hardware noise remains a critical barrier to achieving accurate simulation results due to the limitation of the current hardware. In this paper, we integrate error-mitigated quantum computing in data-driven computational homogenization, where the zero-noise extrapolation (ZNE) technique is employed to improve the reliability of quantum computing. Specifically, ZNE is utilized to mitigate the quantum hardware noise in two quantum algorithms for distance calculation, namely a Swap-based algorithm and an H-based algorithm, thereby improving the overall accuracy of data-driven computational homogenization. Multiscale simulations of a 2D composite L-shaped beam and a 3D composite cylindrical shell are conducted with the quantum computer simulator Qiskit, and the results validate the effectiveness of the proposed method. We believe this work presents a promising step towards using quantum computing in computational mechanics.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"351 ","pages":"Article 118625"},"PeriodicalIF":6.3,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142425865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation on the energy absorption characteristics of novel graded auxetic re-entrant honeycombs","authors":"Zhao Zhang ,&nbsp;Yiwen Gu ,&nbsp;Hengan Wu ,&nbsp;Qingpeng Chen","doi":"10.1016/j.compstruct.2024.118633","DOIUrl":"10.1016/j.compstruct.2024.118633","url":null,"abstract":"<div><div>In this work, innovative graded auxetic re-entrant honeycombs constructed by adjusting the geometric parameters of a core unit cell are proposed, and their deformation modes and energy absorption characteristics with different impact speeds are systematically investigated. The novel graded design utilizes structural hierarchy on the <em>meso</em>-scale and functional gradient on the macro-scale. The numerical simulation models are verified by comparing the experimental results. The results show that compared with the ungraded honeycomb (URH), one of the graded honeycombs (GRHs), named GRH1, can greatly improve the specific energy absorption by 36.4%, 10.8%, and 6.00% for the quasi-static, low, and high-speed impact at a strain of 0.6. At the same time, the initial peak stress of GRH1 is decreased by 43.2% and 27.1% compared with that of URH for low and high-speed impact, respectively. It could be indicated that the GRH1 was an ideal energy-absorbing structure. This work provides a new route for designing graded auxetic honeycombs with enough insight to understand the deformation mechanism of the structures, which could be used in lightweight buffer protective systems.</div></div>","PeriodicalId":281,"journal":{"name":"Composite Structures","volume":"352 ","pages":"Article 118633"},"PeriodicalIF":6.3,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}