Advances in Engineering Software最新文献

{"title":"A multi-objective function for discrete topology optimization in labyrinth seal design problems","authors":"A.S.C. Azevêdo ,&nbsp;E. Moscatelli ,&nbsp;L.N.B.S. Ribeiro ,&nbsp;L.F.N. Sá ,&nbsp;E.C.N. Silva ,&nbsp;R. Picelli","doi":"10.1016/j.advengsoft.2025.103894","DOIUrl":"10.1016/j.advengsoft.2025.103894","url":null,"abstract":"<div><div>Labyrinth seals are commonly used in sealing mechanisms to separate regions with different pressures and minimize leakage along their intricate fluid paths. In this paper, topology optimization is applied to labyrinth seal design via a novel multi-objective expression combining forward and backward flows. However, the traditional strategy is susceptible to the bad local minimum of fluid inlet/outlet closure and the absence of interlaced labyrinth-like solid regions in the final design. The aim is to provide a solution to both issues. In our approach, the labyrinth seal objective is defined by combining fluid flow energy dissipation with vorticity magnitude to design the flow path that should be favored in one direction (forward) while unfavored in the opposite direction (backward). Therefore, we address the optimization problem in the form of simultaneous minimization of forward energy dissipation while maximizing backward vorticity. Volume fraction is assumed as the optimization constraint. The Topology Optimization of Binary Structures (TOBS) method is used to solve the optimization problem. This is a gradient-based method that produces a sequence of linearly approximated problems and solves them via integer linear programming. The steady Navier–Stokes equations govern the fluid motion with the standard Darcy term used for topology optimization. It is demonstrated that the porous material model favors solutions with labyrinths of radial interlacing teeth for higher porosity values and axial interlacing topologies for lower values. Numerical examples are presented for two-dimensional prismatic and axisymmetric problems with real CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> gas properties.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"204 ","pages":"Article 103894"},"PeriodicalIF":4.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143478524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Chebyshev interval computational framework for propagating parameter uncertainty in train-track-bridge systems","authors":"Huifang Hu ,&nbsp;Ping Xiang ,&nbsp;Han Zhao ,&nbsp;Yingying Zeng ,&nbsp;Peng Zhang ,&nbsp;Zhanjun Shao ,&nbsp;Xiaonan Xie ,&nbsp;Lizhong Jiang","doi":"10.1016/j.advengsoft.2025.103884","DOIUrl":"10.1016/j.advengsoft.2025.103884","url":null,"abstract":"<div><div>The dynamic behavior of the train-track-bridge system (TTBS) under uncertain conditions has significant implications for the safety, reliability, and design of high-speed railways. However, precise probability distribution information based on a large number of samples is often lacking in practical engineering scenarios, so it is more appropriate to consider the uncertain parameters as unknown but bounded non-probabilistic interval variables rather than random variables assuming probability distributions. This study investigates the impact of interval uncertain parameters on the dynamic response of TTBS. Employing the finite element method, the dynamic analysis model of high-speed train-track-bridge system was established and the non-invasive Chebyshev interval analysis method was used to compute the boundary of the system's interval dynamic responses. Numerical results show that even in scenarios with high uncertainty levels and multiple parameters, the proposed method can reduce the computational effort while maintaining high accuracy. This study provides a novel framework for quantifying parameter uncertainty for TTBS, which offers practical insights for safety assessment and design optimization of high-speed rail systems operating on bridges under uncertain conditions.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"204 ","pages":"Article 103884"},"PeriodicalIF":4.0,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mirage search optimization: Application to path planning and engineering design problems","authors":"Jiahao He ,&nbsp;Shijie Zhao ,&nbsp;Jiayi Ding ,&nbsp;Yiming Wang","doi":"10.1016/j.advengsoft.2025.103883","DOIUrl":"10.1016/j.advengsoft.2025.103883","url":null,"abstract":"<div><div>In this article, a new meta-heuristic optimization algorithm motivated by mirage physical principles, named Mirage Search Optimization (MSO), is proposed. MSO mainly consists of two updating strategies, i.e., the superior mirage strategy and the inferior mirage strategy, which results in the global exploration and local exploitation capabilities, respectively. In addition, other two population evolution-guided mechanisms such as the fitness-distance balance (FDB) and fitness-distance constraint (FDC) are incorporated into MSO and termed as FDB-MSO and FDC-MSO, to further check and test the good optimization performance of MSO and its variants. MSO and 25 comparison algorithms are examined on CEC2017, CEC2014 and 21 classical benchmark functions. Optimization efficiency of MSO was verified by Wilcoxon rank sum test, Friedman test and stability analysis. Furthermore, competitiveness of MSO in solving real-world problems under constraints is demonstrated using six classical engineering problems. Finally, MSO is used for the path planning problem, which verifies applicability of MSO to real-world problems. Experimental results indicate MSO is competitive with other competing algorithms. Source codes of MSO are publicly available at <span><span>https://www.mathworks.com/matlabcentral/fileexchange/180042-mirage-search-optimization</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"203 ","pages":"Article 103883"},"PeriodicalIF":4.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143427508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cervical spine injuries during car collisions with three types of roadside barriers","authors":"Dawid Bruski ,&nbsp;Lukasz Pachocki ,&nbsp;Jovan Trajkovski ,&nbsp;Howie Fang ,&nbsp;Krzysztof Wilde","doi":"10.1016/j.advengsoft.2025.103887","DOIUrl":"10.1016/j.advengsoft.2025.103887","url":null,"abstract":"<div><div>Traditional methods for assessing vehicle passenger safety in crash tests involving roadside barriers rely on safety indices derived from vehicle kinematic responses. However, this approach may not accurately capture the complex biomechanical stresses exerted on the human body during a collision, raising concerns about the validity and reliability of these indices in accurately evaluating passenger safety. This study investigates the effects of three different types of roadside barriers on vehicle passenger safety using three approaches: (1) assessing compliance with the EN1317 standard based on vehicle kinematics; (2) utilizing the Finite Element (FE) Human Body Model (HBM) dummy and Federal Motor Vehicle Safety Standards 208 criteria; and (3) conducting detailed examinations of cervical spine biomechanics. FE simulations, incorporating a biofidelic FE-HBM, are used to evaluate vehicle passenger safety under TB32 impact conditions as specified by the EN1317 standard. The findings reveal that while all barriers effectively contain and redirect the vehicle, the concrete barrier poses the highest risk of occupant injuries, with the highest safety indices and stress levels in the cervical spine, exceeding safe thresholds due to its high lateral stiffness. In contrast, the cable barrier provides the most favorable conditions for vehicle passengers, exhibiting the lowest stress levels and ensuring superior safety performance. The W-beam barrier demonstrates intermediate performance. The analysis also highlights the significance of the tension–flexion loading condition in passenger neck injuries. This condition accounts for 70% of the neck loading intensity for the concrete barrier and 90% for the cable and W-beam barriers, lasting the longest among all neck loading modes. While current safety standards indicate a low risk of occupant injury, detailed FE analysis and cervical spine stress values suggest potential neck injuries, especially with the concrete barrier. These findings emphasize the need to revise current safety standards to include more comprehensive biomechanical evaluations, potentially leading to enhanced road barrier designs and improved road safety standards.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"203 ","pages":"Article 103887"},"PeriodicalIF":4.0,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143427509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Topology optimization method of strut-and-tie composite structure under uncertain load conditions","authors":"Jinhu Cai,&nbsp;Huibing Ding,&nbsp;Long Huang","doi":"10.1016/j.advengsoft.2025.103886","DOIUrl":"10.1016/j.advengsoft.2025.103886","url":null,"abstract":"<div><div>Many materials in practical engineering exhibit completely different mechanical properties under tension and compression, such as reinforced concrete materials and fiber-reinforced polymers, etc. However, the existing structural design methods usually assume that the mechanical responses of material structures under tensile and compressive loads are the same (i.e. Symmetrical tension and compression characteristics). Considering that the loads are deterministic, the obtained design results may not meet the service requirements and could potentially cause catastrophic damage. This paper proposes a topology optimization method for the strut-and-tie composite structure model under uncertain load conditions. First, a composite structural model is constructed using three-phase materials with different tensile and compressive properties. Then, the design domain is discretized using the hybrid stress element, and a criterion for determining the state of the element in tension and compression is developed. Furthermore, the bivariate dimension reduction method and Gaussian integration method are employed to quantify and propagate load uncertainty. Moreover, an additional method for determining the state of the element in tension and compression under multiple load conditions is developed. Finally, the sensitivity of the objective function concerning the design variables is derived for both single and multiple load cases. Several examples are used to verify the effectiveness of this method, and the influence of optimization parameters such as different load uncertainty levels and the ratio of the elastic moduli of the tensile material and the compressive material on the design results is studied in detail.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"203 ","pages":"Article 103886"},"PeriodicalIF":4.0,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A moving Kriging meshfree vibration analysis of functionally graded porous magneto-electro-elastic plates reinforced with graphene platelets","authors":"P.T. Hung ,&nbsp;Chien H. Thai ,&nbsp;P. Phung-Van","doi":"10.1016/j.advengsoft.2025.103885","DOIUrl":"10.1016/j.advengsoft.2025.103885","url":null,"abstract":"<div><div>This article introduces a moving Kriging (MK) meshfree approach for studying the free vibration analysis of functionally graded porous magneto-electro-elastic plates with graphene platelet reinforcement (FGP-MEE-GPL). Functionally graded porous (FGP) plates are valued for their customizable material properties, while graphene platelets (GPLs) improve their mechanical performance. The pores are distributed in three patterns: uniform, symmetric I, and symmetric II. Similarly, GPLs are also arranged in three distribution patterns across the plate thickness. The structural characteristics of open-cell metal foam are used to establish the correlation between Young's modulus and mass density, providing a more accurate representation of the material's properties. The governing equations for the FGP-MEE-GPL plate are derived using the principle of virtual work and the higher-order shear deformation theory. The MK meshfree method is suggested for approximating the displacement, electric, and magnetic fields. The MK meshfree method offers an efficient solution for analyzing the vibration of the FGP-MEE-GPL plate, seamlessly addressing complex geometries and multi-field coupling without the necessity of mesh generation. The proposed model is validated by comparing its results with the reference's solutions. Parametric studies explore the influence of the porous coefficient, porous and GPLs distributions, initial external load magnetic and electric loads, and geometry on the FGP-MEE-GPL plate's vibrational frequency.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"203 ","pages":"Article 103885"},"PeriodicalIF":4.0,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Single-entry computation of analytical hierarchical (binary) tree structures","authors":"Z. Qiu ,&nbsp;F. Magoulès ,&nbsp;D. Peláez","doi":"10.1016/j.advengsoft.2025.103873","DOIUrl":"10.1016/j.advengsoft.2025.103873","url":null,"abstract":"<div><div>In this work, we present an algorithm that turns our analytical tree data-structures into accurate and efficient interpolation tools. First, our scheme provides an effortless and accurate approximation to the hierarchical Tucker decomposition (HTD) of a high-dimensional dense target tensor. We achieve this through low-dimensional polynomial fit of the (leaves) factor matrices. These reference factors can be obtained from the HTD of a much coarser tensor with the same number of modes and same domain of definition as the targeted one. Second, we provide a pass rule for the sample index, via the so-called chain-of-operators form, which avoids the calculation of the entire Tucker frame tree during the regression. We show that this single-entry based computational scheme leads to the embarrassingly parallel computation of the targeted tensor. To illustrate these results, we compare and discuss our results, in terms of CPU cost and storage, to the most commonly used tensor decomposition schemes and their associated algorithms.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"203 ","pages":"Article 103873"},"PeriodicalIF":4.0,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An enhanced ivy algorithm fusing multiple strategies for global optimization problems","authors":"Chunqiang Zhang ,&nbsp;Wenzhou Lin ,&nbsp;Gang Hu","doi":"10.1016/j.advengsoft.2024.103862","DOIUrl":"10.1016/j.advengsoft.2024.103862","url":null,"abstract":"<div><div>Increasingly sophisticated science and technology are always accompanied by the emergence of optimization problems of higher complexity. To provide a new and higher performance optimization technique, this paper proposes a novel enhanced ivy algorithm (AFDIVYA, for short) that mixes multiple strategies. In AFDIVYA, two strategies are specifically designed for IVY (the adaptive perturbation factor and the adaptive growth rate). The adaptive perturbation factor enhances the ability of the population to explore locally. And the adaptive growth rate contributes to the balance between the exploration and exploitation ability. In addition, the fish population device strategy and the differential evolution strategy are introduced for the first time. The two strategies effectively enhance the diversity of population and expand the search space. To verify whether the fusion of the four strategies enhances the accuracy of IVYA in solving problems, this paper sets up multiple sets of experiments. First, for relatively high dimensional problems, AFDIVYA is compared with several excellent meta-heuristic algorithms on 30, 50, and 100 dimensions of CEC2020. AFDIVYA performs the best with an average ranking of 2.2, 2.1, and 1.6, respectively. For low-dimensional problems, the same comparison algorithms are tested on CEC2022. AFDIVYA also has the smallest average ranking of 2.4. What's more, Wilcoxon rank sum test proves the validity of the AFDIVYA proposal. And then this paper selects several complex engineering applications of different dimensions to test the ability of AFDIVYA to cope with real complex problems with constraints. The results demonstrate the excellent precision and accuracy on these complex problems. Finally, a more challenging and more relevant shape optimization problem is applied. AFDIVYA is tested and unsurprisingly has an excellent performance. In conclusion, AFDIVYA is very competitive among many existing metaheuristics. And this paper provides an advanced technique for solving more challenging real-world problems in the future.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"203 ","pages":"Article 103862"},"PeriodicalIF":4.0,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143303311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A multi-field coupled data-driven surrogate approach for multiphysical damage diagnostic of energy harvesting composite plates","authors":"Ngoc-Tram Bui ,&nbsp;Khuong-Duy Ly ,&nbsp;D. Dinh-Cong ,&nbsp;T. Nguyen-Thoi","doi":"10.1016/j.advengsoft.2025.103871","DOIUrl":"10.1016/j.advengsoft.2025.103871","url":null,"abstract":"<div><div>Damage diagnosis in multiferroic composites is essential for energy harvesting systems, where cracking and property degradation significantly impact coupled frequency response and efficiency. This study proposes a multi-field coupled surrogate model for multiphysical damage diagnostics of multiferroic composite plates to address these challenges. These composites exhibit intricate magnetic, electric, and elastic interactions, making damage detection both complex and essential. Unlike traditional finite element updating methods, which are computationally intensive and iterative, the proposed 1DC-BiGRU model offers a more efficient and scalable data-driven alternative. This model integrates convolutional neural networks (CNNs) to extract critical spatial features and Bidirectional Gated Recurrent Units (BiGRUs) to capture complex feature relationships. This architecture excels in processing frequency and mode shape data, enabling robust identification of multiphysical damage patterns. Convolutional layers efficiently reduce data dimensionality while identifying interactions between features. BiGRUs handle relationships between features in a bidirectional manner, mitigating issues like vanishing gradients seen in traditional neural networks. Trained on simulated data generated from Chebyshev finite element analysis and multi-scale plate theory, the model accurately diagnoses damage locations and severities under various scenarios, including both noise-free and noisy conditions. By providing an efficient and robust framework for multiphysical damage detection, this study significantly advances structural health monitoring for multiferroic composite structures.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"202 ","pages":"Article 103871"},"PeriodicalIF":4.0,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intermediately discretized extended α-level-optimization – An advanced fuzzy analysis approach","authors":"Bertram Richter,&nbsp;F. Niklas Schietzold,&nbsp;Wolfgang Graf,&nbsp;Michael Kaliske","doi":"10.1016/j.advengsoft.2025.103865","DOIUrl":"10.1016/j.advengsoft.2025.103865","url":null,"abstract":"<div><div>Appropriate uncertainty models are required for realistic representations of quantities in real world engineering tasks. Uncertainty quantification is applied to estimate the uncertainty of system responses, with respect to uncertain input quantities. In contrast to aleatoric uncertainty, which is based on natural variability, epistemic uncertainty is caused by lack of knowledge, incertitudes or inaccuracy. In this contribution, epistemic uncertainties are modeled by fuzzy quantities and corresponding uncertainty quantification approaches are investigated. The propagation of fuzzy quantities is based on the extension principle. For numerical analyses, a discretization of the extension principle is required, which can be reformulated as an optimization problem. Two different approaches are state-of-the-art for formulating the optimization problem of the extension principle, which are referred to as <span><math><mi>α</mi></math></span>-level optimization and sampling-based approach (SBA). A comparison of these two approaches is presented, highlighting their advantages and deficits with respect to efficiency and accuracy of the fuzzy analyses. Based on the advantages of both <span><math><mi>α</mi></math></span>-level optimization and SBA, a novel approach, the intermediately discretized extended <span><math><mi>α</mi></math></span>-level optimization (IDEALO), is developed. In IDEALO, advantages of <span><math><mi>α</mi></math></span>-level optimization and SBA are combined to a hybrid approach. The superiority of IDEALO over the other two approaches is demonstrated in benchmark examples.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"202 ","pages":"Article 103865"},"PeriodicalIF":4.0,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}