Pub Date : 2025-11-25DOI: 10.1016/j.advengsoft.2025.104067
Tianyong Jiang , Jun Tang , Chunjun Hu , Ke Huang , Xiang Tian , Lei Wang
Fiber-reinforced polymer (FRP) can substitute for steel bars to improve the durability problem of reinforced concrete (RC) beams attributed to corrosion. But A high-precision and interpretable prediction method for the flexural strength of FRP-RC beams has not yet been constructed. This study proposed a genetic algorithm optimized artificial neural network (GA-ANN) model to predict the flexural strength of FRP-RC beams. A database of 166 samples was established to train and validate the model. The input parameters include the FRP reinforcement area, FRP ultimate tensile strength, FRP type, elastic modulus of FRP, concrete compressive strength, beam width, and beam depth. The prediction accuracy and practicability of the GA-ANN model were assessed by comparison with other machine learning (ML) models and design guidelines. A parametric sensitivity analysis was performed based on the proposed model. Finally, the SHapley Additive exPlanation (SHAP) was introduced to investigate the intrinsic mechanisms and the parameter contribution of the ML prediction. The results revealed the GA-ANN model achieves superior prediction performance, with a coefficient of determination (R2) on the validation set of 0.992, which is 1.74% to 6.43% higher than that of other models. Moreover, the trends of flexural strength with the input parameters can be well captured, which is highly consistent with the design guidelines. Interpretability analysis shows that the beam depth and the FRP reinforcement area are the dominant factors affecting flexural strength. This study provides reliable support for the accurate prediction of flexural strength and effective reference for engineering applications.
{"title":"Data-driven prediction for flexural strength of FRP bars reinforced concrete beams based on optimized machine learning and SHAP method","authors":"Tianyong Jiang , Jun Tang , Chunjun Hu , Ke Huang , Xiang Tian , Lei Wang","doi":"10.1016/j.advengsoft.2025.104067","DOIUrl":"10.1016/j.advengsoft.2025.104067","url":null,"abstract":"<div><div>Fiber-reinforced polymer (FRP) can substitute for steel bars to improve the durability problem of reinforced concrete (RC) beams attributed to corrosion. But A high-precision and interpretable prediction method for the flexural strength of FRP-RC beams has not yet been constructed. This study proposed a genetic algorithm optimized artificial neural network (GA-ANN) model to predict the flexural strength of FRP-RC beams. A database of 166 samples was established to train and validate the model. The input parameters include the FRP reinforcement area, FRP ultimate tensile strength, FRP type, elastic modulus of FRP, concrete compressive strength, beam width, and beam depth. The prediction accuracy and practicability of the GA-ANN model were assessed by comparison with other machine learning (ML) models and design guidelines. A parametric sensitivity analysis was performed based on the proposed model. Finally, the SHapley Additive exPlanation (SHAP) was introduced to investigate the intrinsic mechanisms and the parameter contribution of the ML prediction. The results revealed the GA-ANN model achieves superior prediction performance, with a coefficient of determination (<em>R</em><sup>2</sup>) on the validation set of 0.992, which is 1.74% to 6.43% higher than that of other models. Moreover, the trends of flexural strength with the input parameters can be well captured, which is highly consistent with the design guidelines. Interpretability analysis shows that the beam depth and the FRP reinforcement area are the dominant factors affecting flexural strength. This study provides reliable support for the accurate prediction of flexural strength and effective reference for engineering applications.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104067"},"PeriodicalIF":5.7,"publicationDate":"2025-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145618141","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}
Pub Date : 2025-11-25DOI: 10.1016/j.advengsoft.2025.104073
Pengfei Sun , Jiantao Bai , Ran Zhang , Fei Cheng , Xiaojiang Zhang , Wenjie Zuo
Fiber-reinforced composite structures (FRCs) are widely used in engineering. The design of the structural topology, together with fiber paths and cross-sectional size is important for enhancing their structural performance. Therefore, a topology optimization method is proposed that considers fiber orientation and cross-sectional size for FRCs. A bar-embedded model is employed to model the FRCs. The Solid Isotropic Material with Penalization method is applied to optimize the structural topology, whereas the Normal Distribution Fiber Optimization method is used to optimize the fiber orientation and cross-sectional size. The objective is to minimize compliance subject to prescribed matrix and fiber volume fractions. Numerical examples are provided to validate the effectiveness of the proposed method.
{"title":"Topology optimization of fiber-reinforced composite structures considering fiber orientation and cross-sectional size","authors":"Pengfei Sun , Jiantao Bai , Ran Zhang , Fei Cheng , Xiaojiang Zhang , Wenjie Zuo","doi":"10.1016/j.advengsoft.2025.104073","DOIUrl":"10.1016/j.advengsoft.2025.104073","url":null,"abstract":"<div><div>Fiber-reinforced composite structures (FRCs) are widely used in engineering. The design of the structural topology, together with fiber paths and cross-sectional size is important for enhancing their structural performance. Therefore, a topology optimization method is proposed that considers fiber orientation and cross-sectional size for FRCs. A bar-embedded model is employed to model the FRCs. The Solid Isotropic Material with Penalization method is applied to optimize the structural topology, whereas the Normal Distribution Fiber Optimization method is used to optimize the fiber orientation and cross-sectional size. The objective is to minimize compliance subject to prescribed matrix and fiber volume fractions. Numerical examples are provided to validate the effectiveness of the proposed method.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104073"},"PeriodicalIF":5.7,"publicationDate":"2025-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145618139","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}
Pub Date : 2025-11-23DOI: 10.1016/j.advengsoft.2025.104072
Yidong Zhao , Xuan Li , Chenfanfu Jiang , Jinhyun Choo
The material point method (MPM), a hybrid Lagrangian–Eulerian particle method, is increasingly used to simulate large-deformation and history-dependent behavior of geomaterials. While explicit time integration dominates current MPM implementations due to its algorithmic simplicity, such schemes are unsuitable for quasi-static and long-term processes typical in geomechanics. Implicit MPM formulations are free of these limitations but remain less adopted, largely due to the difficulty of computing the Jacobian matrix required for Newton-type solvers, especially when consistent tangent operators should be derived for complex constitutive models. In this paper, we introduce GeoWarp—an implicit MPM framework for geomechanics built on NVIDIA Warp—that exploits GPU parallelism and reverse-mode automatic differentiation to compute Jacobians without manual derivation. To enhance efficiency, we develop a sparse Jacobian construction algorithm that leverages the localized particle–grid interactions intrinsic to MPM. The framework is verified through forward and inverse examples in large-deformation elastoplasticity and coupled poromechanics. Results demonstrate that GeoWarp provides a robust, scalable, and extensible platform for differentiable implicit MPM simulation in computational geomechanics.
{"title":"GeoWarp: An automatically differentiable and GPU-accelerated implicit MPM framework for geomechanics based on NVIDIA Warp","authors":"Yidong Zhao , Xuan Li , Chenfanfu Jiang , Jinhyun Choo","doi":"10.1016/j.advengsoft.2025.104072","DOIUrl":"10.1016/j.advengsoft.2025.104072","url":null,"abstract":"<div><div>The material point method (MPM), a hybrid Lagrangian–Eulerian particle method, is increasingly used to simulate large-deformation and history-dependent behavior of geomaterials. While explicit time integration dominates current MPM implementations due to its algorithmic simplicity, such schemes are unsuitable for quasi-static and long-term processes typical in geomechanics. Implicit MPM formulations are free of these limitations but remain less adopted, largely due to the difficulty of computing the Jacobian matrix required for Newton-type solvers, especially when consistent tangent operators should be derived for complex constitutive models. In this paper, we introduce GeoWarp—an implicit MPM framework for geomechanics built on NVIDIA Warp—that exploits GPU parallelism and reverse-mode automatic differentiation to compute Jacobians without manual derivation. To enhance efficiency, we develop a sparse Jacobian construction algorithm that leverages the localized particle–grid interactions intrinsic to MPM. The framework is verified through forward and inverse examples in large-deformation elastoplasticity and coupled poromechanics. Results demonstrate that GeoWarp provides a robust, scalable, and extensible platform for differentiable implicit MPM simulation in computational geomechanics.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104072"},"PeriodicalIF":5.7,"publicationDate":"2025-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145618142","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}
Pub Date : 2025-11-21DOI: 10.1016/j.advengsoft.2025.104070
Binqi Xiao , Biao Wei , Jun Chen , Ruimin Zhang , Mingyu Chen , Xianglin Zheng , Zhixing Yang
Near-fault earthquakes seriously endanger the structural safety and operational performance of high-speed railway track-bridge systems (HSRT-BS). To address this issue, this study proposes a multi-component multi-level seismic design (MMSD) method and develops a reduced-order model for parameter design. Using a CRTS Ⅲ track-continuous beam bridge as a case study, a finite element model is established based on the OpenSEES engineering seismic software to implement the MMSD and conduct numerical analyses. The seismic responses of key components in the MMSD system and the ordinary system are compared, while operational safety is evaluated using the velocity-related spectral intensity (VSI) index. Results indicate that the MMSD markedly reduces seismic responses of the track, girder, rail, bearings, and piers, showing stable behavior under earthquake, and lowers the VSI index by nearly 50 %, demonstrating its effectiveness and feasibility for HSRT-BS.
{"title":"Damage control of CRTS Ⅲ track-bridge systems using multi-component multi-level seismic design under near-fault earthquakes","authors":"Binqi Xiao , Biao Wei , Jun Chen , Ruimin Zhang , Mingyu Chen , Xianglin Zheng , Zhixing Yang","doi":"10.1016/j.advengsoft.2025.104070","DOIUrl":"10.1016/j.advengsoft.2025.104070","url":null,"abstract":"<div><div>Near-fault earthquakes seriously endanger the structural safety and operational performance of high-speed railway track-bridge systems (HSRT-BS). To address this issue, this study proposes a multi-component multi-level seismic design (MMSD) method and develops a reduced-order model for parameter design. Using a CRTS Ⅲ track-continuous beam bridge as a case study, a finite element model is established based on the OpenSEES engineering seismic software to implement the MMSD and conduct numerical analyses. The seismic responses of key components in the MMSD system and the ordinary system are compared, while operational safety is evaluated using the velocity-related spectral intensity (VSI) index. Results indicate that the MMSD markedly reduces seismic responses of the track, girder, rail, bearings, and piers, showing stable behavior under earthquake, and lowers the VSI index by nearly 50 %, demonstrating its effectiveness and feasibility for HSRT-BS.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104070"},"PeriodicalIF":5.7,"publicationDate":"2025-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571700","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}
Pub Date : 2025-11-20DOI: 10.1016/j.advengsoft.2025.104069
Dongyang Li , Zhen Chen , Chao Sun
As the fundamental component of ship structures, the hull plate made of steel may be subjected to multi-directional loading and potential cracking damage. The joint action of these factors is extremely harmful to the ultimate strength. In the current paper, a novel strategy is proposed to decouple the implicit interaction relationship of ultimate stresses of hull plates with a through-thickness crack under biaxial compression. The evolution mechanisms of load-carrying capacity influenced by crack faces contact are clarified using a shell-solid mixed finite element model. Then, a simplified approach to establish the FE model of cracked plates is employed in the benchmark parametric analysis, which is validated via experimental results. Subsequently, extensive collapse analysis is conducted to investigate the complicated characteristics of residual ultimate strength considering material and geometric nonlinearities. The coupling effect of plate aspect ratio and slenderness ratio, crack length, angle and location together with in-plane compressive loads is dealt with synthetically. Based on 3360 (1680 × 2) sample points derived from numerical calculation, a set of empirical formulae are reported to predict the reduction factor of axial ultimate strength. Combining these formulae with a projection approach for angular cracks, a generalized closed-form approach is proposed to accurately model the interaction relationships of residual ultimate strength. The generalization of these formulae is verified through independent databases with more than 480 sample points.
{"title":"Closed-form neural network solutions for biaxial compressive strength prediction of cracked steel plates","authors":"Dongyang Li , Zhen Chen , Chao Sun","doi":"10.1016/j.advengsoft.2025.104069","DOIUrl":"10.1016/j.advengsoft.2025.104069","url":null,"abstract":"<div><div>As the fundamental component of ship structures, the hull plate made of steel may be subjected to multi-directional loading and potential cracking damage. The joint action of these factors is extremely harmful to the ultimate strength. In the current paper, a novel strategy is proposed to decouple the implicit interaction relationship of ultimate stresses of hull plates with a through-thickness crack under biaxial compression. The evolution mechanisms of load-carrying capacity influenced by crack faces contact are clarified using a shell-solid mixed finite element model. Then, a simplified approach to establish the FE model of cracked plates is employed in the benchmark parametric analysis, which is validated via experimental results. Subsequently, extensive collapse analysis is conducted to investigate the complicated characteristics of residual ultimate strength considering material and geometric nonlinearities. The coupling effect of plate aspect ratio and slenderness ratio, crack length, angle and location together with in-plane compressive loads is dealt with synthetically. Based on 3360 (1680 × 2) sample points derived from numerical calculation, a set of empirical formulae are reported to predict the reduction factor of axial ultimate strength. Combining these formulae with a projection approach for angular cracks, a generalized closed-form approach is proposed to accurately model the interaction relationships of residual ultimate strength. The generalization of these formulae is verified through independent databases with more than 480 sample points.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104069"},"PeriodicalIF":5.7,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571699","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}
This study presents vibration modeling and analysis of functionally graded porous (FGP) corrugated plates using isogeometric analysis (IGA) and the first-order shear deformation theory (FSDT). FGP sinusoidally corrugated plates (SCPs) and arc corrugated plates (ACPs) with porosity distributions in the thickness and width directions are studied for the first time. The corrugated plates are modeled by using the non-uniform rational B-splines (NURBS) and multi-patch technique. After building the discretized model for every patch, global mass and stiffness matrices are derived by employing a coordinate transformation between the global and local coordinate systems. The convergence and accuracy of the presented method are validated through comparison with other available data. Then, free vibration behaviors of FGP SCPs and ACPs are analyzed, with a focus on the effects of boundary conditions, porosity distributions, and geometric parameters, such as half-period, half-amplitude, and plate thickness. The results provide benchmark data for future research and offer valuable insights into the advanced structural design and optimization for FGP corrugated plates.
{"title":"Free vibration analysis of functionally graded porous corrugated plates with porosity distributions in the thickness and width directions","authors":"Yaqiang Xue , Chunyu Zhang , Kangkang Shi , Yuan Gao , Zhenyang Gao","doi":"10.1016/j.advengsoft.2025.104066","DOIUrl":"10.1016/j.advengsoft.2025.104066","url":null,"abstract":"<div><div>This study presents vibration modeling and analysis of functionally graded porous (FGP) corrugated plates using isogeometric analysis (IGA) and the first-order shear deformation theory (FSDT). FGP sinusoidally corrugated plates (SCPs) and arc corrugated plates (ACPs) with porosity distributions in the thickness and width directions are studied for the first time. The corrugated plates are modeled by using the non-uniform rational B-splines (NURBS) and multi-patch technique. After building the discretized model for every patch, global mass and stiffness matrices are derived by employing a coordinate transformation between the global and local coordinate systems. The convergence and accuracy of the presented method are validated through comparison with other available data. Then, free vibration behaviors of FGP SCPs and ACPs are analyzed, with a focus on the effects of boundary conditions, porosity distributions, and geometric parameters, such as half-period, half-amplitude, and plate thickness. The results provide benchmark data for future research and offer valuable insights into the advanced structural design and optimization for FGP corrugated plates.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104066"},"PeriodicalIF":5.7,"publicationDate":"2025-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520410","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}
Pub Date : 2025-11-13DOI: 10.1016/j.advengsoft.2025.104063
Acar Can Kocabıçak , Kyle Nelson , Saeed Althamer , Senai Yalçınkaya , Gregor Kosec , Lihua Wang , Magd Abdel Wahab
Flow forming is a high-precision metal forming process used to produce thin-walled, rotationally symmetric components with enhanced mechanical properties. This study investigates the two-roller vertical forward flow forming process for EN36B steel through Finite Element Analysis (FEA) using FORGE® NxT 4.0, complemented by experimental validation. Material properties of EN36B steel, including elasticity, thermal, physical, and plasticity characteristics, were modelled with JmatPro software to ensure accurate simulations. Experimental trials included microstructural characterisation, hardness testing, surface roughness evaluation, and twist measurements to validate the numerical model. The FEA simulations provided critical insights into key process parameters such as Von Mises stress, strain, Latham-Cockroft damage, and force dynamics. Defects such as bulging and material build-up were effectively predicted and modelled. Dimensional accuracy was assessed using 3D GOM scanning, revealing a maximum thickness error of 0.3 mm. Discrepancies in force measurements between simulations and experiments were minimal, with deviations of 6.5 % for radial forces and 2.5 % for axial forces. Surface roughness improved significantly, with values decreasing from 2.1 μm Ra to 0.7 μm Ra after vertical forward flow forming.
Furthermore, the hardness increased from 186 HV to 260 MPa (around 40 %) after the forming due to the work hardening process with plasticity. Tensile stress of the workpiece increased from 620 MPa to 880 MPa without an additional heat treatment process. Due to the roller's high force on the workpiece's outer surface, the hardness testing revealed a maximum value of 279 HV on the outer surface, reducing to a minimum of 236 HV closer to the inner surface. The hardness error between FEA and experimental results is around 2 %. Electron Backscatter Diffraction (EBSD) analysis indicated higher grain deformation at the outside surface compared to the middle and inner surface of the flow-formed tube. The vertical forward flow forming process reached a maximum temperature of approximately 200 °C, which was efficiently managed through water cooling. The study highlights the utility of Arbitrary Lagrangian-Eulerian (ALE) formulations and remeshing techniques in simulating complex deformation patterns. These methods provide critical insights for optimising the flow forming process and advancing the manufacture of EN36B steel components.
{"title":"Finite element modelling and experimental validation of two-roller vertical forward flow forming process of EN36B steel","authors":"Acar Can Kocabıçak , Kyle Nelson , Saeed Althamer , Senai Yalçınkaya , Gregor Kosec , Lihua Wang , Magd Abdel Wahab","doi":"10.1016/j.advengsoft.2025.104063","DOIUrl":"10.1016/j.advengsoft.2025.104063","url":null,"abstract":"<div><div>Flow forming is a high-precision metal forming process used to produce thin-walled, rotationally symmetric components with enhanced mechanical properties. This study investigates the two-roller vertical forward flow forming process for EN36B steel through Finite Element Analysis (FEA) using FORGE® NxT 4.0, complemented by experimental validation. Material properties of EN36B steel, including elasticity, thermal, physical, and plasticity characteristics, were modelled with JmatPro software to ensure accurate simulations. Experimental trials included microstructural characterisation, hardness testing, surface roughness evaluation, and twist measurements to validate the numerical model. The FEA simulations provided critical insights into key process parameters such as Von Mises stress, strain, Latham-Cockroft damage, and force dynamics. Defects such as bulging and material build-up were effectively predicted and modelled. Dimensional accuracy was assessed using 3D GOM scanning, revealing a maximum thickness error of 0.3 mm. Discrepancies in force measurements between simulations and experiments were minimal, with deviations of 6.5 % for radial forces and 2.5 % for axial forces. Surface roughness improved significantly, with values decreasing from 2.1 μm Ra to 0.7 μm Ra after vertical forward flow forming.</div><div>Furthermore, the hardness increased from 186 HV to 260 MPa (around 40 %) after the forming due to the work hardening process with plasticity. Tensile stress of the workpiece increased from 620 MPa to 880 MPa without an additional heat treatment process. Due to the roller's high force on the workpiece's outer surface, the hardness testing revealed a maximum value of 279 HV on the outer surface, reducing to a minimum of 236 HV closer to the inner surface. The hardness error between FEA and experimental results is around 2 %. Electron Backscatter Diffraction (EBSD) analysis indicated higher grain deformation at the outside surface compared to the middle and inner surface of the flow-formed tube. The vertical forward flow forming process reached a maximum temperature of approximately 200 °C, which was efficiently managed through water cooling. The study highlights the utility of Arbitrary Lagrangian-Eulerian (ALE) formulations and remeshing techniques in simulating complex deformation patterns. These methods provide critical insights for optimising the flow forming process and advancing the manufacture of EN36B steel components.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104063"},"PeriodicalIF":5.7,"publicationDate":"2025-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520411","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}
Pub Date : 2025-11-13DOI: 10.1016/j.advengsoft.2025.104059
Zhou Huang , Xianjie Shi , Peng Zuo
A dynamic analysis model is developed to investigate the free vibration characteristics of a spherical-conical-cylindrical shell-circular plate coupling structure (SCCCCS). First, within the framework of the first-order shear deformation theory, the structural displacement function for a unified analysis model of revolving plate-shell structures is derived using spectro-geometric method. The artificial virtual spring technique is then applied to equivalently simulate the boundary and coupling conditions. The Ritz method is employed to solve the energy functional, resulting in the dynamic equation governing the SCCCCS analytical model. Numerical verification of the model's reliability and accuracy is performed by comparing its results with those obtained from the finite element method over a wide frequency range. A parameterized study on the dynamic characteristics of the SCCCCS under arbitrary boundary conditions is also conducted, considering various relevant parameters. The results indicate that both the semi-vertex angle of the conical shell and the coupling position of the circular plate significantly influence the structural stiffness of the SCCCCS, thereby affecting the variation of its frequency characteristics.
{"title":"Research on vibrational characteristics of joined spherical- conical-cylindrical shells with multiple annular plates","authors":"Zhou Huang , Xianjie Shi , Peng Zuo","doi":"10.1016/j.advengsoft.2025.104059","DOIUrl":"10.1016/j.advengsoft.2025.104059","url":null,"abstract":"<div><div>A dynamic analysis model is developed to investigate the free vibration characteristics of a spherical-conical-cylindrical shell-circular plate coupling structure (SCCCCS). First, within the framework of the first-order shear deformation theory, the structural displacement function for a unified analysis model of revolving plate-shell structures is derived using spectro-geometric method. The artificial virtual spring technique is then applied to equivalently simulate the boundary and coupling conditions. The Ritz method is employed to solve the energy functional, resulting in the dynamic equation governing the SCCCCS analytical model. Numerical verification of the model's reliability and accuracy is performed by comparing its results with those obtained from the finite element method over a wide frequency range. A parameterized study on the dynamic characteristics of the SCCCCS under arbitrary boundary conditions is also conducted, considering various relevant parameters. The results indicate that both the semi-vertex angle of the conical shell and the coupling position of the circular plate significantly influence the structural stiffness of the SCCCCS, thereby affecting the variation of its frequency characteristics.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104059"},"PeriodicalIF":5.7,"publicationDate":"2025-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520353","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}
Pub Date : 2025-11-12DOI: 10.1016/j.advengsoft.2025.104065
Zhen Liu, Liang Xia
Lattice structures have attracted extensive research interest due to their hierarchical architecture and multi-functional properties, enabling unprecedented design flexibility across diverse engineering fields. In general, lattice structure modeling employs two primary methods: boundary representation (B-rep) and implicit representation. The latter is distinguished by its ability to generate lattice structures with more intricate geometries and more diverse functions compared to the former. However, the generated surface mesh the implicitly represented lattice structures is accomplished by feature distortion, non-manifold meshes, and self-intersecting meshes. This not only results in the failure of the generation of body-fitted meshes for finite element analysis (FEA) but also render the performance of additive manufacturing (AM) using the STL model built from the surface mesh impossible. To address these challenges, this work proposes a novel framework of feature-preserving meshing strategies by extending the dual contouring algorithm. The enhanced algorithm outperforms the dual contouring algorithm by ensuring generated surface meshes strictly adhere to topological validity requirements (manifold, closed, oriented), completely eliminating self-intersections, and faithfully preserving sharp geometric features. Subsequently, the remeshing of the surface mesh is performed to optimize the shape and reduce the count of triangles with preserved sharp geometric features, followed by the generation of body-fitted tetrahedral meshes, as depicted in Fig. 1. Finally, the proposed closed-loop mesh generation workflow generates a finite element (FE) model in the standard .inp file format, ensuring compatibility with commercial computational mechanics software (e.g., ABAQUS, ANSYS). Numerical examples show that the proposed meshing workflow is feasible and effective.
{"title":"Feature-preserving mesh generation and simulation for implicitly represented lattice structures","authors":"Zhen Liu, Liang Xia","doi":"10.1016/j.advengsoft.2025.104065","DOIUrl":"10.1016/j.advengsoft.2025.104065","url":null,"abstract":"<div><div>Lattice structures have attracted extensive research interest due to their hierarchical architecture and multi-functional properties, enabling unprecedented design flexibility across diverse engineering fields. In general, lattice structure modeling employs two primary methods: boundary representation (B-rep) and implicit representation. The latter is distinguished by its ability to generate lattice structures with more intricate geometries and more diverse functions compared to the former. However, the generated surface mesh the implicitly represented lattice structures is accomplished by feature distortion, non-manifold meshes, and self-intersecting meshes. This not only results in the failure of the generation of body-fitted meshes for finite element analysis (FEA) but also render the performance of additive manufacturing (AM) using the STL model built from the surface mesh impossible. To address these challenges, this work proposes a novel framework of feature-preserving meshing strategies by extending the dual contouring algorithm. The enhanced algorithm outperforms the dual contouring algorithm by ensuring generated surface meshes strictly adhere to topological validity requirements (manifold, closed, oriented), completely eliminating self-intersections, and faithfully preserving sharp geometric features. Subsequently, the remeshing of the surface mesh is performed to optimize the shape and reduce the count of triangles with preserved sharp geometric features, followed by the generation of body-fitted tetrahedral meshes, as depicted in Fig. 1. Finally, the proposed closed-loop mesh generation workflow generates a finite element (FE) model in the standard .inp file format, ensuring compatibility with commercial computational mechanics software (e.g., ABAQUS, ANSYS). Numerical examples show that the proposed meshing workflow is feasible and effective.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"212 ","pages":"Article 104065"},"PeriodicalIF":5.7,"publicationDate":"2025-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520355","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}
Pub Date : 2025-11-08DOI: 10.1016/j.advengsoft.2025.104050
Ahmed Slimen , Rabï Ben Sghaier
Accurate quantification of residual stresses (RS) is essential to maintaining the structural integrity, durability, and performance of engineering components. Conventional approaches—including experimental techniques and process modeling—often suffer from limitations such as sparse data availability, high computational expense, and demanding material characterization requirements. In contrast, the eigenstrain method has emerged as a powerful alternative, enabling efficient RS reconstruction via linear elastic finite element analysis (FEA), while inherently satisfying equilibrium and compatibility conditions with minimal experimental input.
Despite its theoretical appeal, the practical application of eigenstrain-based methods—particularly for large-scale engineering components with complex geometries—has been limited by computational demands, lack of native implementation in commercial FEA platforms, and dependence on third-party software. These constraints fragment workflows, increase susceptibility to errors, and hinder broader adoption, highlighting the need for a unified computational framework.
EigenRec3D addresses this gap by providing a fully integrated platform for reconstructing residual stress fields in arbitrary two- and three-dimensional geometries via the eigenstrain method. Implemented entirely within the ANSYS® APDL environment through advanced scripting, it eliminates external dependencies while ensuring computational robustness. Its modular design and intuitive graphical interface streamline setup, minimize user intervention, and enhance accessibility for both research and industrial applications.
The tool’s capability is validated through case studies involving large-scale, surface-treated components of arbitrary shape, demonstrating accuracy, scalability, and readiness for deployment. EigenRec3D offers a pathway for integration into advanced manufacturing workflows, including additive manufacturing.
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