A new computer-aided framework for assessing the creep deflection of reinforced concrete (RC) beams retrofitted by pre-stressed CFRPs, utilizing a combined experimental and numerical approach, is presented. The framework leverages automation in structural analysis through the development of a custom ABAQUS subroutine, which implements the Age-Adjusted Effective Modulus (AAEM) method to evaluate creep behavior in both the composite and concrete materials. Designed for non-linear analysis, the proposed model offers a tool for integration with other computational systems, enhancing its applicability across the construction life cycle. The methodology is validated through a combined experimental and numerical approach. A series of tests was conducted on RC T-beams strengthened with pre-stressed CFRPs subjected to sustained loading for one year. The accuracy of the framework is further corroborated by comparing its predictions with experimental data from both the current study and existing literature. Results demonstrate that the proposed framework provides a robust, automated solution for creep analysis, offering a simplified yet precise method for practical engineering applications in the design, maintenance, and management of constructed facilities.
{"title":"Advanced creep modeling for pre-stressed CFRP-strengthened RC beams: An AAEM-based automated ABAQUS subroutine","authors":"Kian Aghani , Hassan Afshin , Karim Abedi , Salar Farahmand-Tabar","doi":"10.1016/j.advengsoft.2025.104041","DOIUrl":"10.1016/j.advengsoft.2025.104041","url":null,"abstract":"<div><div>A new computer-aided framework for assessing the creep deflection of reinforced concrete (RC) beams retrofitted by pre-stressed CFRPs, utilizing a combined experimental and numerical approach, is presented. The framework leverages automation in structural analysis through the development of a custom ABAQUS subroutine, which implements the Age-Adjusted Effective Modulus (AAEM) method to evaluate creep behavior in both the composite and concrete materials. Designed for non-linear analysis, the proposed model offers a tool for integration with other computational systems, enhancing its applicability across the construction life cycle. The methodology is validated through a combined experimental and numerical approach. A series of tests was conducted on RC T-beams strengthened with pre-stressed CFRPs subjected to sustained loading for one year. The accuracy of the framework is further corroborated by comparing its predictions with experimental data from both the current study and existing literature. Results demonstrate that the proposed framework provides a robust, automated solution for creep analysis, offering a simplified yet precise method for practical engineering applications in the design, maintenance, and management of constructed facilities.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"211 ","pages":"Article 104041"},"PeriodicalIF":5.7,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096630","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 : 2025-09-19DOI: 10.1016/j.advengsoft.2025.104038
Qingshan Wang , Qing Yang , Rui Zhong
Triply periodic minimal surface (TPMS) lattice structures, especially Gyroid structures, evidence great potential in the field of lightweight multifunctional structures due to their excellent specific strength, specific stiffness, and tunable energy absorption properties. However, the complex geometrical properties of the structure lead to huge simulation complexity for high-precision dynamics simulation, and the existing equivalent parameter acquisition methods are difficult to accurately characterize the dynamics behavior of the actual structure, which greatly limits the application of TPMS structures in engineering. To break through the limitation, the present paper investigates the dynamic response behavior of Gyroid lattice sandwich plates under moving load. Based on the three-dimensional elasticity theory, the dynamic numerical model of Gyroid lattice sandwich plates under moving load is established by combining the spectral geometry method (SGM) and artificial virtual spring method. By employing the parameter inversion technique based on the dynamic properties, the equivalent material parameters of Gyroid lattice in terms of dynamics are introduced to directly identify, which effectively avoids the distortion of dynamic properties and the boundary non-periodic error that may be caused by the traditional static equivalent parameters. Finally, the effects of the lattice parameters and the type of moving load on the dynamic characteristics of the structure are systematically analyzed. Especially, the influence of lattice thickness ratio on the dynamic characteristics of the structure can provide an effective reference value for engineering design, thus realizing a wider application prospect of TPMS lattice sandwich plates in engineering.
{"title":"Dynamics analysis of Gyroid lattice plates under moving loads","authors":"Qingshan Wang , Qing Yang , Rui Zhong","doi":"10.1016/j.advengsoft.2025.104038","DOIUrl":"10.1016/j.advengsoft.2025.104038","url":null,"abstract":"<div><div>Triply periodic minimal surface (TPMS) lattice structures, especially Gyroid structures, evidence great potential in the field of lightweight multifunctional structures due to their excellent specific strength, specific stiffness, and tunable energy absorption properties. However, the complex geometrical properties of the structure lead to huge simulation complexity for high-precision dynamics simulation, and the existing equivalent parameter acquisition methods are difficult to accurately characterize the dynamics behavior of the actual structure, which greatly limits the application of TPMS structures in engineering. To break through the limitation, the present paper investigates the dynamic response behavior of Gyroid lattice sandwich plates under moving load. Based on the three-dimensional elasticity theory, the dynamic numerical model of Gyroid lattice sandwich plates under moving load is established by combining the spectral geometry method (SGM) and artificial virtual spring method. By employing the parameter inversion technique based on the dynamic properties, the equivalent material parameters of Gyroid lattice in terms of dynamics are introduced to directly identify, which effectively avoids the distortion of dynamic properties and the boundary non-periodic error that may be caused by the traditional static equivalent parameters. Finally, the effects of the lattice parameters and the type of moving load on the dynamic characteristics of the structure are systematically analyzed. Especially, the influence of lattice thickness ratio on the dynamic characteristics of the structure can provide an effective reference value for engineering design, thus realizing a wider application prospect of TPMS lattice sandwich plates in engineering.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"211 ","pages":"Article 104038"},"PeriodicalIF":5.7,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096629","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 : 2025-09-17DOI: 10.1016/j.advengsoft.2025.104031
Lingkuan Xuan , Gonghao Zhao , Jingfeng Gong , Shengli Su , Yin Yan
This study presents an efficient frequency domain cell vertex finite volume method (FD-CVFVM) to predict muffler transmission loss (TL). The heterogeneous Helmholtz equation is discretized based on FD-CVFVM. A control volume is constructed around each vertex. Acoustic pressure is stored at each mesh vertex. Shape functions are used to describe the acoustic pressure distribution. A calculation program implementing the FD-CVFVM is developed using the C++ language. The TL of a simple expansion chamber muffler, a resistive muffler, and a perforated resistive muffler are computed using different mesh models. The results are compared and analyzed against those obtained from commercial FEM software. The numerical results demonstrate that the FD-CVFVM predictions are in good agreement with those of the FEM results. It is found that the computational efficiency of the FD-CVFVM is significantly superior to that of commercial FEM software. The maximum computation time is reduced by approximately 78.2 %. An analysis of the sparsity pattern of the coefficient matrix is accomplished to reveal the reason of the superior computational speed over the commercial FEM software. This method is anticipated to offer a novel numerical approach for predicting muffler TL.
{"title":"Frequency domain cell-vertex finite volume method for muffler transmission loss prediction","authors":"Lingkuan Xuan , Gonghao Zhao , Jingfeng Gong , Shengli Su , Yin Yan","doi":"10.1016/j.advengsoft.2025.104031","DOIUrl":"10.1016/j.advengsoft.2025.104031","url":null,"abstract":"<div><div>This study presents an efficient frequency domain cell vertex finite volume method (FD-CVFVM) to predict muffler transmission loss (TL). The heterogeneous Helmholtz equation is discretized based on FD-CVFVM. A control volume is constructed around each vertex. Acoustic pressure is stored at each mesh vertex. Shape functions are used to describe the acoustic pressure distribution. A calculation program implementing the FD-CVFVM is developed using the <em>C</em>++ language. The TL of a simple expansion chamber muffler, a resistive muffler, and a perforated resistive muffler are computed using different mesh models. The results are compared and analyzed against those obtained from commercial FEM software. The numerical results demonstrate that the FD-CVFVM predictions are in good agreement with those of the FEM results. It is found that the computational efficiency of the FD-CVFVM is significantly superior to that of commercial FEM software. The maximum computation time is reduced by approximately 78.2 %. An analysis of the sparsity pattern of the coefficient matrix is accomplished to reveal the reason of the superior computational speed over the commercial FEM software. This method is anticipated to offer a novel numerical approach for predicting muffler TL.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"211 ","pages":"Article 104031"},"PeriodicalIF":5.7,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096626","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}
Rising incidence of train derailments and collisions underscores the urgent need for more effective passive energy‐absorbing systems. While conventional aluminum honeycomb devices achieve high specific energy absorption, they suffer from complex fabrication, require full replacement after minor impacts, and generate high rebound velocities that can exacerbate secondary damage. In this study, we propose a Multi-layered Nested Tubular Structure (MNTS)—an arrangement of adjustable square and circular thin-walled tubes—as an alternative absorber. A physics–based finite‐element (FE) model, incorporating material nonlinearity, simulates a lead‐car collision against a rigid wall and is validated against full-scale experiments (velocity: 8.357 m/s; mass: 54 t). The model accurately reproduces peak absorbed energy, average force response, displacement history, and rebound velocity. A parametric study of 144 FE simulations combined with response surface methodology identifies optimal wall‐thickness parameters (λs = 7.4 mm, λc = 18.6 mm), yielding a maximum energy absorption of 1.728 MJ (RMSE = 0.0477 MJ, R² = 0.945). Building on these results, we develop a reduced‐order analytical model using logistic regression to relate train speed (5.0–9.0 m/s) to peak force, maximum displacement, and energy absorption, achieving an R² of 0.989 for displacement predictions. Validation against 41 additional FE runs confirms the analytical model’s accuracy while reducing computational cost by orders of magnitude. Compared with honeycomb absorbers, the MNTS matches energy-absorption efficiency yet significantly lowers peak impact forces and rebound velocities, thereby enhancing passenger safety. Together, the validated FE framework and its streamlined analytical counterpart constitute a rapid, practical design and assessment tool for train collision energy-absorption systems.
{"title":"Optimization design and simplified model of a multi-layered nested tubular structure for train collision protection","authors":"Jun Chen , Biao Wei , Lizhong Jiang , Xianglin Zheng , Shuaijie Yuan , Mingyu Chen","doi":"10.1016/j.advengsoft.2025.104039","DOIUrl":"10.1016/j.advengsoft.2025.104039","url":null,"abstract":"<div><div>Rising incidence of train derailments and collisions underscores the urgent need for more effective passive energy‐absorbing systems. While conventional aluminum honeycomb devices achieve high specific energy absorption, they suffer from complex fabrication, require full replacement after minor impacts, and generate high rebound velocities that can exacerbate secondary damage. In this study, we propose a Multi-layered Nested Tubular Structure (MNTS)—an arrangement of adjustable square and circular thin-walled tubes—as an alternative absorber. A physics–based finite‐element (FE) model, incorporating material nonlinearity, simulates a lead‐car collision against a rigid wall and is validated against full-scale experiments (velocity: 8.357 m/s; mass: 54 t). The model accurately reproduces peak absorbed energy, average force response, displacement history, and rebound velocity. A parametric study of 144 FE simulations combined with response surface methodology identifies optimal wall‐thickness parameters (<em>λ<sub>s</sub></em> = 7.4 mm, <em>λ<sub>c</sub></em> = 18.6 mm), yielding a maximum energy absorption of 1.728 MJ (<em>R<sub>MSE</sub></em> = 0.0477 MJ, <em>R</em>² = 0.945). Building on these results, we develop a reduced‐order analytical model using logistic regression to relate train speed (5.0–9.0 m/s) to peak force, maximum displacement, and energy absorption, achieving an <em>R</em>² of 0.989 for displacement predictions. Validation against 41 additional FE runs confirms the analytical model’s accuracy while reducing computational cost by orders of magnitude. Compared with honeycomb absorbers, the MNTS matches energy-absorption efficiency yet significantly lowers peak impact forces and rebound velocities, thereby enhancing passenger safety. Together, the validated FE framework and its streamlined analytical counterpart constitute a rapid, practical design and assessment tool for train collision energy-absorption systems.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"211 ","pages":"Article 104039"},"PeriodicalIF":5.7,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096628","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 : 2025-09-13DOI: 10.1016/j.advengsoft.2025.104033
Hyojoon An , Hyun-Jin Jung , Jong-Han Lee
The performance of road facility networks is directly related to the lives of citizens and therefore requires careful management. In particular, disasters such as earthquakes, which can rapidly degrade the performance of an entire road network, must be given significant consideration. This study proposes a seismic performance management system for road facility networks based on building information modeling (BIM). The proposed system integrates geographic information system (GIS), BIM, and structural analysis tools. To this end, the study first introduces the overall framework and the seismic performance assessment methodology. The framework is developed to support the generation, analysis, and updating of network-level BIM. To generate the BIM for a road facility network, an algorithm is developed that automatically generates terrain surfaces and road facility objects by linking GIS data. In addition, a method for extracting and transforming object information from the BIM is established to enable BIM-based numerical modeling and integration with analysis tools. Seismic performance is evaluated by separating structural and functional performance at both the individual and network levels. To demonstrate the feasibility and applicability of the proposed framework, we applied the proposed framework to Gyeongju, an area damaged by seismic events in South Korea, to generate the network BIM and perform seismic simulations. Furthermore, the seismic simulation results are updated in the network BIM for archiving and visualization. The results show that the proposed framework is successfully implemented for the road facility network used in the case study.
{"title":"Development of a BIM-based seismic performance management system for road facility networks","authors":"Hyojoon An , Hyun-Jin Jung , Jong-Han Lee","doi":"10.1016/j.advengsoft.2025.104033","DOIUrl":"10.1016/j.advengsoft.2025.104033","url":null,"abstract":"<div><div>The performance of road facility networks is directly related to the lives of citizens and therefore requires careful management. In particular, disasters such as earthquakes, which can rapidly degrade the performance of an entire road network, must be given significant consideration. This study proposes a seismic performance management system for road facility networks based on building information modeling (BIM). The proposed system integrates geographic information system (GIS), BIM, and structural analysis tools. To this end, the study first introduces the overall framework and the seismic performance assessment methodology. The framework is developed to support the generation, analysis, and updating of network-level BIM. To generate the BIM for a road facility network, an algorithm is developed that automatically generates terrain surfaces and road facility objects by linking GIS data. In addition, a method for extracting and transforming object information from the BIM is established to enable BIM-based numerical modeling and integration with analysis tools. Seismic performance is evaluated by separating structural and functional performance at both the individual and network levels. To demonstrate the feasibility and applicability of the proposed framework, we applied the proposed framework to Gyeongju, an area damaged by seismic events in South Korea, to generate the network BIM and perform seismic simulations. Furthermore, the seismic simulation results are updated in the network BIM for archiving and visualization. The results show that the proposed framework is successfully implemented for the road facility network used in the case study.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"211 ","pages":"Article 104033"},"PeriodicalIF":5.7,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049821","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 : 2025-09-13DOI: 10.1016/j.advengsoft.2025.104023
Hao Lv
The construction of coastal nuclear power plants (NPPs) on lithologically robust foundations is geographically limited, driving a shift toward inland non-rock sites. Ensuring seismic resilience of such sites has become critical for nuclear safety. Near coasts or rivers, groundwater table (GWT) fluctuations significantly influence soil-pore water distribution, thereby affecting soil seismic response and NPP performance. To analyze the influence of groundwater table on the seismic response of the nuclear power plant, this paper uses the saturated porous medium model and considers the interaction of the saturated soil and structure. The free field of the horizontally layered site of dry soil-saturated soil is obtained by the transfer matrix method, and combined with the transmission boundary, the wave input of soil-structure interaction (SSI) analysis is realized. Then, the partitioned parallel calculation method of SSI is used to analyse the saturated SSI. The soil, along with its groundwater, is characterized using the generalized saturated porous medium model. The simulation of the combined lumped-mass explicit finite element and transmission boundary is accomplished through a self-programmed FORTRAN code. On the other hand, the structural analysis is carried out using ANSYS, employing an implicit finite element approach. Taking a nuclear power plant as an example, the dynamic response of the soil-foundation-nuclear power plant system is analysed at five sites with different GWTs. In this case, the goal is an attempt to determine the effect of the depth of the GWT on the soil-foundation-nuclear power plant system under seismic action.
{"title":"Influence of groundwater on seismic response of nuclear power plant soil-structure system","authors":"Hao Lv","doi":"10.1016/j.advengsoft.2025.104023","DOIUrl":"10.1016/j.advengsoft.2025.104023","url":null,"abstract":"<div><div>The construction of coastal nuclear power plants (NPPs) on lithologically robust foundations is geographically limited, driving a shift toward inland non-rock sites. Ensuring seismic resilience of such sites has become critical for nuclear safety. Near coasts or rivers, groundwater table (GWT) fluctuations significantly influence soil-pore water distribution, thereby affecting soil seismic response and NPP performance. To analyze the influence of groundwater table on the seismic response of the nuclear power plant, this paper uses the saturated porous medium model and considers the interaction of the saturated soil and structure. The free field of the horizontally layered site of dry soil-saturated soil is obtained by the transfer matrix method, and combined with the transmission boundary, the wave input of soil-structure interaction (SSI) analysis is realized. Then, the partitioned parallel calculation method of SSI is used to analyse the saturated SSI. The soil, along with its groundwater, is characterized using the generalized saturated porous medium model. The simulation of the combined lumped-mass explicit finite element and transmission boundary is accomplished through a self-programmed FORTRAN code. On the other hand, the structural analysis is carried out using ANSYS, employing an implicit finite element approach. Taking a nuclear power plant as an example, the dynamic response of the soil-foundation-nuclear power plant system is analysed at five sites with different GWTs. In this case, the goal is an attempt to determine the effect of the depth of the GWT on the soil-foundation-nuclear power plant system under seismic action.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"211 ","pages":"Article 104023"},"PeriodicalIF":5.7,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049822","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 : 2025-09-13DOI: 10.1016/j.advengsoft.2025.104037
Jihun Song , Chungkuk Jin , Do Kyun Kim , Donghwi Jung , Seungjun Kim
Accurately estimating mooring‑line tension is essential for the safe operation of large, multiconnected floating‑photovoltaic (FPV) arrays, yet installing load cells on every line is impractical. This study develops and evaluates data‑driven tension estimators that use only motion responses generated from time‑domain hydrodynamic simulations. A long short‑term memory (LSTM) network trained on displacements provides the reference performance. When trained instead on raw accelerations, the model performs noticeably worse, reflecting the spectral mismatch between acceleration and tension signals. Adding directional spreading to the training data restores robustness for the displacement‑based model under oblique seas, but offers limited benefit for the acceleration‑based model. In this study, a physics‑guided LSTM is proposed to reduce reliance on displacement sensors, in which a learnable filter transforms accelerations into displacement‑like features. This hybrid model narrows the performance gap, achieving stable and robust prediction performance. The proposed model attains accuracy comparable to displacement‑based estimation, demonstrating its effectiveness with accelerometer input alone and highlighting its potential as a cost‑efficient tool for structural health monitoring of large‑scale FPV systems.
{"title":"Mooring tension estimation for multi-connected floating photovoltaic arrays via LSTM networks","authors":"Jihun Song , Chungkuk Jin , Do Kyun Kim , Donghwi Jung , Seungjun Kim","doi":"10.1016/j.advengsoft.2025.104037","DOIUrl":"10.1016/j.advengsoft.2025.104037","url":null,"abstract":"<div><div>Accurately estimating mooring‑line tension is essential for the safe operation of large, multiconnected floating‑photovoltaic (FPV) arrays, yet installing load cells on every line is impractical. This study develops and evaluates data‑driven tension estimators that use only motion responses generated from time‑domain hydrodynamic simulations. A long short‑term memory (LSTM) network trained on displacements provides the reference performance. When trained instead on raw accelerations, the model performs noticeably worse, reflecting the spectral mismatch between acceleration and tension signals. Adding directional spreading to the training data restores robustness for the displacement‑based model under oblique seas, but offers limited benefit for the acceleration‑based model. In this study, a physics‑guided LSTM is proposed to reduce reliance on displacement sensors, in which a learnable filter transforms accelerations into displacement‑like features. This hybrid model narrows the performance gap, achieving stable and robust prediction performance. The proposed model attains accuracy comparable to displacement‑based estimation, demonstrating its effectiveness with accelerometer input alone and highlighting its potential as a cost‑efficient tool for structural health monitoring of large‑scale FPV systems.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"211 ","pages":"Article 104037"},"PeriodicalIF":5.7,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049823","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 : 2025-09-12DOI: 10.1016/j.advengsoft.2025.104021
Chao Wang , Di Lou , Zunyi Duan , Wenfeng Du , Jianhua Rong , Bin Xu
This work proposes a structural topology optimization method to consider material anisotropy induced by additive manufacturing processes. To quantify the relationship between manufacturing processes and mechanical properties of formed materials, the building direction angle is introduced into a transversely isotropic material model as a design variable. An anisotropic material model related to the building direction is thus established. A parallel optimization framework for structural topology and building direction is proposed by extending the classical compliance minimization formulation. And, to be applicable to gradient-based optimization algorithms, sensitivities related to density and angle variables are derived separately. Especially, to overcome the convergence difficulties caused by the periodic angle variables, an adaptive reduction strategy for the feasible region of angle variables is proposed. Typical numerical examples verify the rationality of the proposed method. The results show that the building direction related process-induced anisotropy significantly affects the optimized structural properties. The fluctuation of the trigonometric functions related to the angle variables would lead to obvious iteration oscillation in the optimization process, which makes the optimization difficult to converge. The proposed adaptive reduction strategy is proven effective in addressing this challenge. Besides, typical numerical properties of the co-optimization of structural topology and building direction are also revealed.
{"title":"Structural topology optimization considering material anisotropy induced by additive manufacturing processes","authors":"Chao Wang , Di Lou , Zunyi Duan , Wenfeng Du , Jianhua Rong , Bin Xu","doi":"10.1016/j.advengsoft.2025.104021","DOIUrl":"10.1016/j.advengsoft.2025.104021","url":null,"abstract":"<div><div>This work proposes a structural topology optimization method to consider material anisotropy induced by additive manufacturing processes. To quantify the relationship between manufacturing processes and mechanical properties of formed materials, the building direction angle is introduced into a transversely isotropic material model as a design variable. An anisotropic material model related to the building direction is thus established. A parallel optimization framework for structural topology and building direction is proposed by extending the classical compliance minimization formulation. And, to be applicable to gradient-based optimization algorithms, sensitivities related to density and angle variables are derived separately. Especially, to overcome the convergence difficulties caused by the periodic angle variables, an adaptive reduction strategy for the feasible region of angle variables is proposed. Typical numerical examples verify the rationality of the proposed method. The results show that the building direction related process-induced anisotropy significantly affects the optimized structural properties. The fluctuation of the trigonometric functions related to the angle variables would lead to obvious iteration oscillation in the optimization process, which makes the optimization difficult to converge. The proposed adaptive reduction strategy is proven effective in addressing this challenge. Besides, typical numerical properties of the co-optimization of structural topology and building direction are also revealed.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"211 ","pages":"Article 104021"},"PeriodicalIF":5.7,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049820","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 : 2025-09-10DOI: 10.1016/j.advengsoft.2025.104032
Xin Jin , Dongpo Han , Guochao Zhao , Lijuan Zhao
The accuracy of discrete element coal wall model significantly influences the characterization of coal-rock breaking mechanisms and equipment dynamic response in virtual prototype simulation. Based on coal-rock samples from Ordos Wenyu Mine of Yanzhou Coal Mining, key Tavares UFRJ parameters affecting particle compressive strength were identified through Plackett-Burman test and steepest ascent experiment. Breakage parameters were calibrated using optimal latin hypercube sampling (OLHS) and gaussian process regression (GPR). Hertz-Mindlin with Bonding parameters were then calibrated via uniaxial compression simulation. Model accuracy was verified through discrete element method-multi flexible body dynamics (DEM-MFBD) coupling simulation. Results indicate that D0, E Infinity, and Phi are the most significant parameters with influence rates of 38.5 %, 30.5 %, and 18.6 % respectively. The relative error between simulated and experimental particle compressive strength is below 4.56 %, while uniaxial compression simulation shows maximum relative error below 9.80 %. Comparing tri-axial load curves during shearer drum cutting, the maximum relative error of mean values between experimental and simulation data is 3.72 %, with maximum root mean square error (RMSE) of 4.60 %, outperforming traditional models and validating the model's accuracy and reliability for dynamic cutting process simulation.
{"title":"Research on coal wall parameter calibration and high precision model construction based on discrete element method","authors":"Xin Jin , Dongpo Han , Guochao Zhao , Lijuan Zhao","doi":"10.1016/j.advengsoft.2025.104032","DOIUrl":"10.1016/j.advengsoft.2025.104032","url":null,"abstract":"<div><div>The accuracy of discrete element coal wall model significantly influences the characterization of coal-rock breaking mechanisms and equipment dynamic response in virtual prototype simulation. Based on coal-rock samples from Ordos Wenyu Mine of Yanzhou Coal Mining, key Tavares UFRJ parameters affecting particle compressive strength were identified through Plackett-Burman test and steepest ascent experiment. Breakage parameters were calibrated using optimal latin hypercube sampling (OLHS) and gaussian process regression (GPR). Hertz-Mindlin with Bonding parameters were then calibrated via uniaxial compression simulation. Model accuracy was verified through discrete element method-multi flexible body dynamics (DEM-MFBD) coupling simulation. Results indicate that D0, E Infinity, and Phi are the most significant parameters with influence rates of 38.5 %, 30.5 %, and 18.6 % respectively. The relative error between simulated and experimental particle compressive strength is below 4.56 %, while uniaxial compression simulation shows maximum relative error below 9.80 %. Comparing tri-axial load curves during shearer drum cutting, the maximum relative error of mean values between experimental and simulation data is 3.72 %, with maximum root mean square error (RMSE) of 4.60 %, outperforming traditional models and validating the model's accuracy and reliability for dynamic cutting process simulation.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"211 ","pages":"Article 104032"},"PeriodicalIF":5.7,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027449","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 : 2025-09-06DOI: 10.1016/j.advengsoft.2025.104022
Xinfeng Yin , Yang Quan , Linsong Wu , Tuerdi Kaiersaer , Zhou Huang
This study proposes a novel 3D (Three-dimensional) VBI (Vehicle-bridge interaction) system modeling framework based on Hamilton's principle, coupled with an improved Newmark-β method for solving dynamic responses. By considering the kinetic and potential energies of the system, Hamilton's principle accurately describes the coupled vibrations between vehicles and bridges. The dynamic equations of the VBI system are derived by constructing a Euler-Bernoulli beam theory models and vehicle a spring-damped system models, incorporating 3D road surface irregularities and random traffic loads. The coupled dynamic equations ensure energy conservation under complex traffic loads. An improved Newmark-β method is employed to solve the nonlinear dynamic responses, ensuring numerical stability and accuracy. Theoretical validation demonstrates the model's superior accuracy in describing bridge mid-span displacement and vehicle vertical displacement. Numerical simulations and case comparisons further highlight the advantages of Hamilton's principle. For example, at a vehicle speed of 40 km/h, the maximum deviation of the simulated mid-span displacement from the measured value is only 0.42 mm, with a coefficient of determination (R²) reaching 0.92 and the mean absolute error (MAE) significantly reduced to 0.24.
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