Advances in Engineering Software最新文献

{"title":"Robustness of hybrid light gradient boosting for concrete creep compliance prediction","authors":"Viet-Linh Tran ,&nbsp;Duc-Kien Thai ,&nbsp;Jin-Kook Kim","doi":"10.1016/j.advengsoft.2024.103831","DOIUrl":"10.1016/j.advengsoft.2024.103831","url":null,"abstract":"<div><div>Concrete creep is one of the most crucial factors in concrete. A reliable prediction of concrete creep is vital for safe concrete structure design and maintenance. However, the theoretical and empirical models are convoluted and unreliable due to the complex time-dependent behavior of concrete creep. This study collects a comprehensive experimental database from the literature to develop a hybrid machine learning model that combines grey wolf optimizer (GWO) and light gradient boosting (LGB), namely GWO-LGB, for predicting precisely concrete creep compliance (<em>J_creep</em>). Three widely used empirical models and six baseline ensemble machine learning models are adopted to evaluate the efficacy of the developed hybrid GWO-LGB mode. The comparative results reveal that the hybrid GWO-LGB model produces more accuracy in predicting the <em>J_creep</em> than other models. In addition, the Shapley Additive exPlanations (SHAP) method is used to investigate the influence of input parameters on the <em>J_creep</em>. Finally, a web tool is created to apply the hybrid GWO-LGB model readily to predict the <em>J_creep</em> with new input data without cumbersome programming.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"201 ","pages":"Article 103831"},"PeriodicalIF":4.0,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182904","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":"Stochastic analysis of FG-CNTRC conical shell panels based on a perturbation stochastic meshless method without partial derivative","authors":"Ping Xiang ,&nbsp;Yufei Chen ,&nbsp;Zhanjun Shao ,&nbsp;Xuan Peng ,&nbsp;Zefeng Liu ,&nbsp;Wei Chen ,&nbsp;Qingshan Wang","doi":"10.1016/j.advengsoft.2024.103832","DOIUrl":"10.1016/j.advengsoft.2024.103832","url":null,"abstract":"<div><div>This study introduces the spatial variability of material parameters into the free vibration analysis of functionally graded carbon nanotube reinforced composite (FG-CNTRC) conical shell panels, using the modified perturbation stochastic method (MPSM) to handle low uncertainty. Based on the first-order shear deformation shell theory, the approximate displacement field is represented by the shape function of the kernel particle. The Young's moduli of carbon nanotubes (CNTs) and the matrix are regarded as one-dimensional (1D) and two-dimensional (2D) random fields, respectively, which are discretized by the Karhunen-Loève (K-L) expansion. The random fields in the rectangular area are extended to the conical area, establishing the random fields for the conical shell panel, and plotting the first six eigenvalue drop point line graphs and eigenfunction diagrams for the conical shell panel. The obtained random variables are substituted into the modified perturbation stochastic method and the Reproducing Kernel Particle Method (RKPM) to calculate the first two-order estimates of the stochastic dimensionless natural frequencies <span><math><mover><mi>ω</mi><mi>‾</mi></mover></math></span>. The sensitivity of the first to fourth <span><math><mover><mi>ω</mi><mi>‾</mi></mover></math></span> to the random fields, the impact of multiple random variables, and multiple random fields on <span><math><mover><mi>ω</mi><mi>‾</mi></mover></math></span> are analyzed, and the corresponding stochastic bands are plotted. The results indicate that <span><math><mover><mi>ω</mi><mi>‾</mi></mover></math></span> is mainly influenced by the random fields <span><math><msubsup><mi>E</mi><mrow><mn>11</mn></mrow><mtext>CNT</mtext></msubsup></math></span>​ and <span><math><msubsup><mi>E</mi><mrow><mn>22</mn></mrow><mtext>CNT</mtext></msubsup></math></span>, and the distribution pattern of carbon nanotubes affects the sensitivity.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"201 ","pages":"Article 103832"},"PeriodicalIF":4.0,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182902","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":"Structural topology optimization method with adaptive support design","authors":"Jia-Qi Rong ,&nbsp;Yi Rong ,&nbsp;Hua Liu ,&nbsp;Xi-Qiao Feng ,&nbsp;Zi-Long Zhao","doi":"10.1016/j.advengsoft.2024.103830","DOIUrl":"10.1016/j.advengsoft.2024.103830","url":null,"abstract":"<div><div>Topology optimization has undergone rapid development in the past three decades. Conventional optimization techniques usually optimize the material distribution with predefined boundary constraints, where the material usage, type, and layout of the support are not accounted for. In this study, we propose a new method that performs topology optimization with adaptive support design (ASD). This method allows us to prescribe the constraint direction, optimize the support layout, and control the layout complexity during the structural form-finding process. In the ASD method, the structural boundary is constrained using truss elements, and the support layout is iteratively updated according to their efficiency. Five typical numerical examples are given to demonstrate the effectiveness of our method. The results show that, compared with the conventional optimization techniques, the presented method is capable of generating highly efficient structural designs with significantly reduced support material. By changing, e.g., the material usage, type, and layout of the support, structurally optimized and topologically different designs could be generated. The ASD method can be used to produce high-performance structure–support forms, as well as diverse and competitive designs. This work holds a potential in, e.g., engineering practice and transdisciplinary computational morphogenesis.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"201 ","pages":"Article 103830"},"PeriodicalIF":4.0,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143183454","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":"Folded graphene reinforced metal matrix nanocomposites with comprehensively enhanced tensile mechanical properties","authors":"Pan Shi ,&nbsp;Yao Chen ,&nbsp;Tong Guo ,&nbsp;Yongming Tu ,&nbsp;Jian Feng","doi":"10.1016/j.advengsoft.2024.103829","DOIUrl":"10.1016/j.advengsoft.2024.103829","url":null,"abstract":"<div><div>It is urgent to develop advanced materials with high strength, high toughness and good ductility for modern engineering structures. Graphene reinforced metal matrix nanocomposites exhibit significantly enhanced strength and toughness, but their ductility remains relatively low due to the inherent tensile brittleness of graphene. Inspired by the origami concept, we utilize the surface hydrogenation method to develop an armchair-like folded graphene (AFG) structure as reinforcement for metal matrix composites. Molecular dynamics simulations show that the AFG structure can simultaneously enhance the tensile strength, stiffness, ductility, and toughness of copper (Cu) matrix composites. Compared with pristine graphene/Cu nanocomposites, AFG/Cu nanocomposites exhibit better ductility and toughness, while maintaining comparable strength and stiffness. Furthermore, the mechanical properties of AFG/Cu nanocomposites can be tuned by altering the degree of AFG folding and the distances between adjacent hydrogenated zones. The strengthening and toughening mechanism is that mechanically strong AFG can effectively block dislocation propagation across the metal-graphene interface before it unfolds to fracture. Such mechanism can be extended to other 2D nanomaterials reinforced metal matrix nanocomposites, opening up an avenue for developing high-performance nanocomposites.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"200 ","pages":"Article 103829"},"PeriodicalIF":4.0,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745936","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":"Efficiency of the dynamic relaxation method in the stabilisation process of bridge and building frame","authors":"Somnath Karmakar ,&nbsp;Goutam Kuti ,&nbsp;Amit Shaw","doi":"10.1016/j.advengsoft.2024.103828","DOIUrl":"10.1016/j.advengsoft.2024.103828","url":null,"abstract":"<div><div>More and more complex Civil Engineering problems are being considered in computational mechanics with the invention of high-quality computing techniques. In addition, the computational cost and storage requirement for complex and or large structures have increased dramatically, leading to an increased interest in removing the difficulties using any form of parallel computing. The process of applying the preload for parallel computing to any unstable structures is called a stabilising process, such as the Dynamic Relaxation Method (DRM) is one. This method minimises the energy by a simple vector iteration technique, which ultimately leads the structure to a static equilibrium state. The present study aims to highlight the utility of the DRM in the stabilisation process for small structures like building frames and large and or complicated structures such as bridges before actual transient analysis. Therefore, the present manuscript discusses the computational cost, CPU runtime, multiple increases of mass and rigid body displacement of building frames and bridges. The DRM allows an explicit solver to conduct a dynamic analysis by increasing the damping until the kinetic energy drops to a proposed value. The simulation of the DRM starts to find the equilibrium state with minimal dynamic effect, which is required to apply at the beginning of the solution phase to obtain the initial stress and displacement field before the start of the actual analysis.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"200 ","pages":"Article 103828"},"PeriodicalIF":4.0,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142699121","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":"Aerodynamic optimization of aircraft wings using machine learning","authors":"M. Hasan ,&nbsp;S. Redonnet ,&nbsp;D. Zhongmin","doi":"10.1016/j.advengsoft.2024.103801","DOIUrl":"10.1016/j.advengsoft.2024.103801","url":null,"abstract":"<div><div>This study proposes a fast yet reliable optimization framework for the aerodynamic design of transonic aircraft wings. Combining Computational Fluid Dynamics (CFD) and Machine Learning (ML), the framework is successfully applied to the Common Research Model (CRM) benchmark aircraft proposed by NASA. The framework relies on a series of automated CFD simulations, from which no less than 160 planform variations of the CRM wing are assessed from an aerodynamic standpoint. This database is used to educate an ML surrogate model, for which two specific algorithms are explored, namely eXtreme Gradient Boosting (XGB) and Light Gradient Boosting Machine (LGBM). Once trained with 80 % of this database and tested with the remaining 20 %, the ML surrogates are employed to explore a larger design space, their optimum being then inferred using an optimization framework relying on a Multi-Objective Genetic Algorithm (MOGAO). Each ML-based optimal planform is then simulated through CFD to confirm its aerodynamic merits, which are then compared against those of a conventional, fully CFD-based optimization. The comparison is very favourable, the best ML-based optimal planform exhibiting similar performances as its CFD-optimized counterpart (e.g. a 14 % higher lift-to-drag ratio) for only half of the CPU cost. Overall, this study demonstrates the potential of ML-based methods for optimizing aircraft wings, thereby paving the way to the adoption of more disruptive, data-driven aircraft design paradigms.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"200 ","pages":"Article 103801"},"PeriodicalIF":4.0,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698071","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":"Shear lag and shear deformation in box girders considering tendon transverse layout by improved beam element model","authors":"Xiaoyang He ,&nbsp;Zhengyang Chen ,&nbsp;Qiangqiang Wu ,&nbsp;Heng Lin ,&nbsp;Yiqiang Xiang","doi":"10.1016/j.advengsoft.2024.103826","DOIUrl":"10.1016/j.advengsoft.2024.103826","url":null,"abstract":"<div><div>The transverse and vertical layouts of tendons within prestressed concrete (PC) box girders induce complex mechanical behaviors that necessitate precise evaluation for effective structural design. However, existing investigations often overlook the impact of tendon transverse layout. To address this gap, an improved beam element, designated as B12TS, is developed for shear deformation and shear lag analyses of PC box girders under prestressing effects. The element integrates the tendon transverse layout through non-uniform longitudinal displacements of the tendons modeled as a series of piecewise linear segments. The prestressing forces are converted into equivalent nodal forces acting on the elements. The element shape functions are derived from the homogeneous solutions to the relevant differential equations. Comparative analyses involving various beam element models, available experimental data, and three-dimensional (3D) finite element simulations demonstrate that the B12TS element model significantly enhances the accuracy and efficiency of predicting both deflections and stress distributions. Furthermore, the effects of prestressing on the flange and web tendons of typical PC box beams are examined to quantify the impacts of shear lag, shear deformation, and tendon transverse layout. The findings reveal that the transverse layout of the flange tendons remarkably influences both the magnitude and distribution shape of normal stresses, particularly near anchorage locations. Consequently, the B12TS element model proves to be a valuable analysis tool for designing prismatic and non-prismatic PC box girder bridges with various tendon layouts.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"200 ","pages":"Article 103826"},"PeriodicalIF":4.0,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142699120","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 novel optimization approach for the design of environmentally efficient gridshells with reclaimed steel members","authors":"V. Tomei,&nbsp;E. Grande,&nbsp;M. Imbimbo","doi":"10.1016/j.advengsoft.2024.103825","DOIUrl":"10.1016/j.advengsoft.2024.103825","url":null,"abstract":"<div><div>The reuse of structural components from decommissioned structures is gaining traction among researchers and industry professionals. This approach offers significant advantages, including reduced costs and a smaller environmental footprint, by incorporating reclaimed elements from dismantled structures into the design of new ones. Steel elements are particularly well-suited to this purpose because they preserve their mechanical properties over time. Nevertheless, integrating reused members into the structure of a gridshell introduces complexities into the design process, as it adds additional parameters related to the characteristics of the reused members themselves, such as cross-section, length, and material. Therefore, optimizing gridshell structures with reused members necessitates analyzing solutions based on the placement of the reused members within the grid, as well as considering grid configurations that accommodate the characteristics of the reused members.</div><div>This paper presents a novel approach for optimizing steel gridshells that integrates reclaimed members into the structure. The approach effectively combines a geometry and a size optimization technique through a unique process using genetic algorithms. Applied to a case study derived from the literature and considering different scenarios of reused elements, the approach is also compared to a manual design approach. The results and comparisons demonstrate the proposed approach's capability to provide lighter solutions, leading to lower costs and a reduced environmental impact, the last highlighted by the evaluation of the greenhouse gas emission for each case.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"200 ","pages":"Article 103825"},"PeriodicalIF":4.0,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698073","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":"Workflow for high-quality visualisation of large-scale CFD simulations by volume rendering","authors":"Markéta Faltýnková,&nbsp;Ondřej Meca,&nbsp;Tomáš Brzobohatý,&nbsp;Lubomír Říha,&nbsp;Milan Jaroš,&nbsp;Petr Strakoš","doi":"10.1016/j.advengsoft.2024.103822","DOIUrl":"10.1016/j.advengsoft.2024.103822","url":null,"abstract":"<div><div>High-fidelity CFD simulations can easily generate terabytes to petabytes of resulting data. Post-processing of such data is not an easy task. It holds especially for volume rendering, one of the most illustrative but computationally intensive post-processing techniques.</div><div>This paper presents an HPC-ready workflow for post-processing large-scale CFD data computed on unstructured meshes by volume rendering using matured visual effects tools. The workflow consists of five steps: (1) parallel loading of unstructured data into memory, (2) data load-balancing among available resources, (3) re-sampling unstructured data into a regular grid (voxelisation), (4) storing data to OpenVDB format, and (5) final high-quality volume rendering of the (possibly sparse) regular grid in Blender. The workflow is based on open-source libraries, where we have improved all these steps to build an effective and robust approach. Due to parallel loading and appropriate load balancing, our workflow (a) allows loading sequential databases that do not fit into the memory of a single node and (b) significantly outperforms current scientific visualisation tools in voxelisation scalability. Moreover, due to the connection to professional visual effects tools such as Blender, interactive or photo-realistic volume rendering by path tracing, which includes global illumination effects, is allowed.</div><div>With the workflow, it is possible to re-sample hundreds of time steps on an unstructured mesh with 1 billion cells (tens of TB of data) to a sparse regular grid with a density of 11 billion voxels and prepare data for interactive visualisation in just a few minutes using thousands of CPU cores.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"200 ","pages":"Article 103822"},"PeriodicalIF":4.0,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142699119","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":"Three-dimensional isogeometric finite element solution method for the nonlinear thermal and thermomechanical bending analysis of laminated graphene platelet-reinforced composite plates with and without cutout","authors":"Vuong Nguyen Van Do ,&nbsp;Thang N. Dao ,&nbsp;Chin-Hyung Lee","doi":"10.1016/j.advengsoft.2024.103824","DOIUrl":"10.1016/j.advengsoft.2024.103824","url":null,"abstract":"<div><div>In this paper, a new three-dimensional (3D) numerical solution method for analyzing the nonlinear flexural response behaviour of laminated graphene platelet (GPL)-reinforced composite plates in thermal or thermomechanical loading is presented. For this purpose, a 3D isogeometric finite element formulation for the thermal and thermomechanical bending analysis is established based on 3D elasticity theory into which the Green-Lagrange strain tensor is incorporated to take the geometric nonlinearity into account, and the 3D steady conduction of heat is considered as the thermal environment to reflect the real circumstance. The 3D isogeometric approach proposed, by replicating multiple benchmark problems and comparing the predicted results to the existing solutions, is evidenced to successfully perform the thermal and thermomechanical bending analysis. Following the verification, nonlinear flexure of the nanocomposite plates under the heat conduction in combination with and without mechanical loading is scrutinized by employing various parameters such as the weight fraction and arrangement scheme of the nanofillers, the plate configuration and the constraint condition. Two types of the GPL-embedded composite plates, i.e., rectangular pristine plate and rectangular plate with cutout are taken into account. Results demonstrate that the proposed IGA method can be used as an accurate and effective numerical tool for analyzing the nonlinear thermoelastic bending behaviour of the intact and perforated GPL-reinforced composite plates and that spreading GPLs near the opposite side of the surface on which the heating is imposed is the most favorable scheme of enhancing the thermal bending resistance.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"200 ","pages":"Article 103824"},"PeriodicalIF":4.0,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698072","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}