Advances in Engineering Software最新文献

{"title":"Layout optimization design method for thermo-elastic thin-walled structures with lattices and stiffeners","authors":"Yang Li ,&nbsp;Tong Gao ,&nbsp;Yongbin Huang ,&nbsp;Longlong Song ,&nbsp;Weihong Zhang","doi":"10.1016/j.advengsoft.2025.103962","DOIUrl":"10.1016/j.advengsoft.2025.103962","url":null,"abstract":"<div><div>This work proposes a layout optimization design method for thermo-elastic thin-walled structures with lattices and stiffeners in the framework of multi-material topology optimization, in which both the steady-state temperature field and mechanical loads are considered. Firstly, taking into account the design requirements, suitable lattice unit cells are chosen and their equivalent mechanical properties are obtained by the homogenization method. Thus, the candidate lattice unit cells are represented as corresponding virtual homogeneous materials. Meanwhile, the stiffeners are modelled with solid material. Afterwards, a multi-material thermo-elastic structural optimization formulation is established and solved iteratively through gradient-driven optimization algorithms to obtain the optimized layouts of the lattices and stiffeners. In addition, the maximum size constraint and the overall volume constraint with a lower bound are introduced. The former ensures that the solid material takes the form of 'ribs' in the optimization results and the latter could meet the requirement that the design space is filled with lattice or solid material. Finally, numerical tests are conducted to demonstrate the detailed application process and validate the effectiveness of the proposed design method. This work provides an effective design tool for the application of additively manufactured lattice structures in thermo-elastic coupled load-bearing structures.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"208 ","pages":"Article 103962"},"PeriodicalIF":4.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243458","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":"Probabilistic slope stability analysis based on the Hermite-logistic regression approach","authors":"Yi Liang ,&nbsp;Zhengpeng Jia ,&nbsp;Qinglong Wu ,&nbsp;Kefeng Xiao ,&nbsp;Ran Yuan ,&nbsp;Haizuo Zhou ,&nbsp;Yi He","doi":"10.1016/j.advengsoft.2025.103973","DOIUrl":"10.1016/j.advengsoft.2025.103973","url":null,"abstract":"<div><div>In slope reliability analysis, conventional surrogate model-based analysis methods, such as response surface method, Kriging method, and neural networks method, often rely on the safety factor of slopes for analysis. However, the calculation of safety factors requires repeated iterations using strength reduction, leading to low efficiency in reliability analysis. Addressing this challenge, this manuscript proposes an improved slope reliability analysis method to improve analysis efficiency. This method, which considers the spatial variability of soil parameters, is based on the principles of binary classification concept. It employs the Karhunen-Loève (K-L) expansion to discretize the soil of the slope and generate a random field. By combining Hermite polynomials with logistic regression approach, a surrogate model is established. Using the intrinsic program in FLAC^3D for convergency determination, the stability classification (stable or unstable) for each slope is carried out without reducing the soil strength parameters (using original soil strength parameters). The classification results serve as response values for the Hermite-logistic regression surrogate model, establishing an implicit relationship between random variables and slope stability. The effectiveness of this Hermite-logistic regression method is verified through examples of undrained saturated clay slopes and <em>c</em>-<em>φ</em> soil slopes. The findings indicate that the Hermite-logistic regression model demonstrates remarkable computational efficiency when compared to conventional random finite element calculations, all while maintaining high computational accuracy. Specifically, the proposed method reduces the computational cost by at least a factor of ten while ensuring the attainment of precise results. In addition, a sensitivity analysis is performed to investigate the influence of slope geometric parameters and spatial variability parameters on slope stability and reliability.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"208 ","pages":"Article 103973"},"PeriodicalIF":4.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144253653","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":"Optimizing foam padding of the advanced combat helmet to maximize protection of blast-induced brain injury and wearing comfort","authors":"Chaokai Zhang ,&nbsp;Feng Zhu ,&nbsp;Wenye He ,&nbsp;Zhiqing Cheng ,&nbsp;Songbai Ji","doi":"10.1016/j.advengsoft.2025.103980","DOIUrl":"10.1016/j.advengsoft.2025.103980","url":null,"abstract":"<div><div>The Advanced combat helmet (ACH) is critical for mitigating the risk of blast-induced traumatic brain injury (bTBI). Helmet foam pads are in continuous contact with the head to provide mechanical support. They are essential for helmet bTBI mitigation effectiveness and wearing comfort. In this study, we parametrically investigate the significance of foam pad thickness and relative density on reducing the peak intracranial pressure (ICP) from blast. In addition, we study how they influence the perceived comfort, by quantifying the distribution uniformity of ACH-to-scalp pressure resulting from gravity, referred to as the Comfort Index. Three specific pad thicknesses and random relative densities coupled with a range of trinitrotoluene (TNT) masses placed to the front or side of the helmet-head complex were used for simulation. The incidence pressures from the ConWep model were used as input for blast loading. The ratios between peak ICP in the corpus callosum and the peak incident pressure as well as the comfort indices were analyzed using a data-driven approach. A multi-functional design method, Pareto front, was used to identify sets of optimal parameters based on user preferred weighting factors for ICP reduction and head surface pressure distribution. Finally, a decision tree was applied to refine the rules for optimal designs. For an equal weighting on ICP reduction and surface pressure distribution, a pad thickness of 10 mm and relative density of 7.7 % were identified. This study demonstrates the effectiveness of combining Pareto front and decision trees for the identification of optimal design parameters for the ACH.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"208 ","pages":"Article 103980"},"PeriodicalIF":4.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144365765","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 isogeometric approach to supersonic flutter analysis of lightweight-designed plates with graphene reinforcement","authors":"Nam V. Nguyen,&nbsp;Thoai N. Tran","doi":"10.1016/j.advengsoft.2025.103955","DOIUrl":"10.1016/j.advengsoft.2025.103955","url":null,"abstract":"<div><div>In recent years, there has been an increasing emphasis on implementing high-performance, lightweight designs in a wide range of contemporary interdisciplinary applications. The primary objective of this paper, therefore, is to present a NURBS-based isogeometric approach for a comprehensive investigation into the supersonic flutter characteristics of graphene-reinforced functionally graded (FG) metal foam plates. The lightweight structures are designed using a combination of two porosity distributions and two graphene dispersion patterns, featuring both uniform and non-uniform configurations. The mathematical equations governing the dynamic behavior of the porous plates are derived using a computational approach based on generalized higher-order shear deformation theory (HSDT) within a NURBS-based isogeometric analysis (IGA). A first-order approximation of piston theory is employed to model the fluid–structure interaction by estimating the aerodynamic forces induced by high-speed airflow. The accuracy of the current approach is assessed and validated against the analytical approach and other existing benchmark results. Several extensive parametric investigations are subsequently conducted to fulfill the primary goal of this research: to clarify the influence of internal porosity and graphene nanofiller on the flutter boundaries and associated vibrational modes of lightweight-designed plate structures. The obtained results demonstrate that graphene-reinforced FG cellular plates possess exceptional properties, such as high stiffness and reduced weight, making them well-suited for advanced technological applications. Furthermore, the present findings offer valuable insights that can assist in the design and fabrication, with the goal of improving the robustness and efficacy of future practical engineering structures.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"208 ","pages":"Article 103955"},"PeriodicalIF":4.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144221978","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 efficient multi-fidelity space-division assisted optimization approach for computationally expensive problems","authors":"Chengshan Li ,&nbsp;Junxiao Liu ,&nbsp;Yuqin Ma ,&nbsp;Xiaoyi An ,&nbsp;Da Lyu ,&nbsp;Yufan Cao","doi":"10.1016/j.advengsoft.2025.103979","DOIUrl":"10.1016/j.advengsoft.2025.103979","url":null,"abstract":"<div><div>This paper presents a multi-fidelity optimization approach for computationally expensive problems, aiming to efficiently find the global optimum by utilizing MF models. Firstly, high-fidelity (HF) and low-fidelity (LF) samples are selected and calculated, respectively. Subsequently, the design space is categorized into four types based on the responses of the HF and LF samples: overlapped subspace, HF promising subspace, merged subspace, and global space. These defined spaces are explored alternately to find the global optimum. To further reduce computational expenses, a correlation analysis process is introduced to determine whether the HF or LF model should be used as the objective function in the present subspace. To avoid missing the global optima, both local exploitation and global exploration strategies are employed in these subspaces. The proposed method named multi-fidelity space-division assisted optimization (MFSDO) is compared with four popular methods using twenty-three mathematical test problems, results demonstrate that MFSDO offers advantages in reducing computational costs. Additionally, MFSDO is applied to optimize the structure of a blended-wing-body underwater glider. Results indicate that the structure mass is significantly reduced with much less computational cost while ensuring safety, which verifies the efficiency and engineering applicability of our proposed method.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"208 ","pages":"Article 103979"},"PeriodicalIF":4.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144471300","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":"Effect of frequency content of ground motion on seismic response of buildings with variable aspect ratio including soil-structure interaction","authors":"Dilek Kaya ,&nbsp;Tufan Cakir ,&nbsp;Kasif Furkan Ozturk ,&nbsp;Onur Araz","doi":"10.1016/j.advengsoft.2025.103981","DOIUrl":"10.1016/j.advengsoft.2025.103981","url":null,"abstract":"<div><div>Soil-structure interaction (SSI) may lead to reduction, amplification or negligible change in structural responses depending on the relationship between the nature of excitations and subsoil conditions. Since neglecting SSI effects may cause uncertainties in seismic design, it is crucial to consider them during the design process. Another important factor affecting the dynamic behavior of structures interacting with the ground is the dynamic properties of the structures. To consider this effect, three buildings with 4, 8, and 12 stories designed in accordance with the Turkish Building Earthquake Code (TBEC-2018) are analyzed. The aspect ratios of these structures are 2, 4, and 6, corresponding to squat, ordinary, and slender structures, respectively. The primary objective of this study is to simulate the combined effects of these key parameters on the dynamic response of reinforced concrete structures. In the time history analyses, six ground motions classified by three different frequency contents are considered. 3D finite element models of SSI systems are established using ANSYS software. The usability of the numerical models is demonstrated for both SSI and fixed-base cases through three different analytical approaches. The displacement, acceleration, and stress responses are examined through time history analyses. The results indicate that the SSI is not negligible and neglecting the SSI is an oversimplification that does not lead to always-conservative predictions. Moreover, both the frequency content of the excitation and the structural aspect ratio are found to be decisive parameters in seismic response.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"208 ","pages":"Article 103981"},"PeriodicalIF":4.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144514019","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":"Hybrid material topology optimization of solid-lattice structures for natural frequency maximization","authors":"Yuhan Liu,&nbsp;Zhen Liu,&nbsp;Yedan Li,&nbsp;Wei-Zhi Luo,&nbsp;Liang Xia","doi":"10.1016/j.advengsoft.2025.103961","DOIUrl":"10.1016/j.advengsoft.2025.103961","url":null,"abstract":"<div><div>This paper presents a topology optimization design approach for hybrid materials used to generate solid-lattice structures. Specifically, the approach aims to maximize the natural frequencies of hybrid structures by optimizing the topological distribution of solid and lattice materials, as well as the lattice relative density. For this purpose, a hybrid material interpolation model is developed. In this approach, the modal assurance criterion (MAC) is applied to optimize the target-order natural frequency accurately. Additionally, a hybrid structure post-processing framework based on the signed distance field (SDF) is proposed. This framework adaptively refines the lattice resolution at model boundaries, ensuring geometric integrity. Moreover, a circular geometry transition strategy is employed to improve structural connectivity, which significantly reduces model errors in non-transition regions. 2D and 3D numerical examples demonstrate the proposed method’s effectiveness in maximizing the natural frequency of hybrid structures. In particular, the dynamic performance of hybrid structures surpasses that of pure solid structures under multiple mass loading cases.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"208 ","pages":"Article 103961"},"PeriodicalIF":4.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144190150","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":"Machine learning-based two-stage damage prediction method for RC slabs under blast loads","authors":"Chunfeng Zhao ,&nbsp;Jian Su ,&nbsp;Yufu Zhu ,&nbsp;Xiaojie Li","doi":"10.1016/j.advengsoft.2025.103959","DOIUrl":"10.1016/j.advengsoft.2025.103959","url":null,"abstract":"<div><div>Reinforced concrete (RC) slabs are extremely vulnerable to damage in explosions and terrorist attacks as the force members of building structures. It is necessary to evaluate and predict the damage of the RC slabs to improve the explosion protection of building structures. In this study, a two-stage damage prediction method for RC slabs under blast loads is developed using machine learning method. In the first stage, the parameters related to the RC slab and the explosion are used as input feature variables, and a machine learning algorithm is adopted to establish a displacement prediction model for the RC slab under explosion loading. In the second stage, the prediction of the maximum displacement of the RC slab under blast loads is carried out using the proposed model, and the damage of the RC slab is evaluated following the damage assessment criteria. Finally, the accuracy and reliability of the two-stage prediction method is validated by the present empirical methods. The results show that the two-stage prediction method under the damage assessment criterion of the support rotation has the best damage identification results with an accuracy of 93.1 %. Furthermore, the two-stage prediction method has better generalization performance with an accuracy of 90 % compared with the present empirical prediction methods.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"208 ","pages":"Article 103959"},"PeriodicalIF":4.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144203553","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":"Multi-objective optimisation of complex mechanisms using Moving Spheres: An application to suspension elasto-kinematics","authors":"Lorenzo De Santanna,&nbsp;Massimiliano Gobbi,&nbsp;Riccardo Malacrida,&nbsp;Gianpiero Mastinu","doi":"10.1016/j.advengsoft.2025.103974","DOIUrl":"10.1016/j.advengsoft.2025.103974","url":null,"abstract":"<div><div>This paper presents a new iterative method, called Moving Spheres (MS), for solving multi-objective design optimisation problems involving three-dimensional mechanisms. The method is suited to problems in which most of the design variables belong to the three-dimensional Euclidean space. MS method is able to explore efficiently the design space and identifies the regions where the optimal solutions are located, resulting in a clear spatial representation of optimal solutions. In this paper, MS method is applied to the elasto-kinematic optimisation of an automotive suspension system. The optimal locations of suspension joints are sought within spherical neighbourhoods of a reference suspension. This preserves the kinematic compatibility of the mechanism and facilitates the exploration of the design space through iterative updates of the reference suspension. The rigorous <span><math><mi>k</mi></math></span>-optimality metric, which introduces a hierarchical sorting in the Pareto-optimal set, is employed to rank optimal design solutions. In the suspension test case, the Pareto-optimal set of approximated through Moving Spheres method is compared with the Pareto-optimal sets resulting from Parameter Space Investigation and multi-objective optimisation Genetic Algorithm with sorting (KEMOGA) methods, considering similar computational time. Moving Spheres method yields a more accurate approximation of the Pareto-optimal set.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"208 ","pages":"Article 103974"},"PeriodicalIF":4.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144329967","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 lightweight convolutional neural network-based model and system for defect detection and navigation on bridge road surface","authors":"Ronghua Fu ,&nbsp;Yufeng Zhang ,&nbsp;Drahomír Novák ,&nbsp;Alfred Strauss ,&nbsp;Maosen Cao","doi":"10.1016/j.advengsoft.2025.103972","DOIUrl":"10.1016/j.advengsoft.2025.103972","url":null,"abstract":"<div><div>The Faster Region-based Convolutional Neural Network (Faster R-CNN) is widely used for detecting defects on road surface. However, its effectiveness in this task is limited by its large model size and slow detection speed. To address these challenges, two versions of the Faster R-CNN model—small and large—were developed. First, the models were structurally optimized by integrating inverted residual blocks, depthwise separable convolutions, and attention mechanisms to improve efficiency and performance. The large version also incorporated multi-scale feature extraction for enhanced detection capabilities. Second, model pruning was applied to further compress the networks. Extensive ablation experiments were conducted to investigate the relationship between the model's internal structure and its impact on crack detection accuracy and efficiency. The experimental results demonstrate that the proposed models outperform general CNN-based models in bridge surface defect detection, achieving superior detection speed while maintaining high accuracy. The large version exhibits better performance but at the cost of increased model complexity. Testing was conducted on a real-life bridge in Nanjing, China. Additionally, a software application, integrated with a laptop and a smartphone, was deployed to identify defects and map their locations on the bridge, streamlining the detection process. The source code of this software is freely available at <span><span>https://github.com/DUYA686686/detection-software.git</span><svg><path></path></svg></span></div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"208 ","pages":"Article 103972"},"PeriodicalIF":4.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144229744","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}