Advances in Engineering Software最新文献_第5页

Stochastic static analysis of functionally graded sandwich nanoplates based on a novel stochastic meshfree computational framework 基于新型随机无网格计算框架的功能分级夹层纳米板随机静态分析

IF 4 2区工程技术

Advances in Engineering Software Pub Date : 2024-09-28 DOI: 10.1016/j.advengsoft.2024.103780

Baikuang Chen , Zhanjun Shao , A.S. Ademiloye , Delei Yang , Xuebing Zhang , Ping Xiang

{"title":"Stochastic static analysis of functionally graded sandwich nanoplates based on a novel stochastic meshfree computational framework","authors":"Baikuang Chen , Zhanjun Shao , A.S. Ademiloye , Delei Yang , Xuebing Zhang , Ping Xiang","doi":"10.1016/j.advengsoft.2024.103780","DOIUrl":"10.1016/j.advengsoft.2024.103780","url":null,"abstract":"<div><div>In this study, the spatial variability of materials is incorporated into the static analysis of functionally graded sandwich nanoplates to achieve higher accuracy. Utilising a modified point estimation method and the radial point interpolation method, we develop a novel stochastic meshfree computational framework to deal with the material uncertainty. Higher-order shear deformation theory is employed to establish the displacement field of the plates. The elastic modulus of ceramic and metal (<em>E</em><sub>c</sub> and <em>E</em><sub>m</sub>) are treated as separate random fields and discretized through the Karhunen-Loève expansion (KLE) method. To improve the performance of procedure, the Wavelet-Galerkin method is introduced to solve the second type of Fredholm integral equation. Subsequently, substituting the random variables obtained by KLE into the stochastic computational framework, a high accuracy stochastic response of structures can be acquired. By comparing computed findings with those of Monte Carlo simulation, the accuracy and efficiency of developed framework are verified. Moreover, the results indicate that the plate's deflection exhibits varying sensitivities to the random fields <em>E</em><sub>c</sub> and <em>E</em><sub>m</sub>. Also, the sandwich configuration as well as power-law exponents affect the stochastic response of structures. These findings offer valuable insights for the optimized design of functionally graded sandwich nanoplates.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"198 ","pages":"Article 103780"},"PeriodicalIF":4.0,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359247","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}

引用次数: 0

Simultaneous optimization of capacity and topology of seismic isolation systems in multi-story buildings using a fuzzy reinforced differential evolution method 利用模糊强化微分进化法同时优化多层建筑隔震系统的容量和拓扑结构

IF 4 2区工程技术

Advances in Engineering Software Pub Date : 2024-09-27 DOI: 10.1016/j.advengsoft.2024.103781

Ali Mortazavi, Elif Çağda Kandemir

{"title":"Simultaneous optimization of capacity and topology of seismic isolation systems in multi-story buildings using a fuzzy reinforced differential evolution method","authors":"Ali Mortazavi, Elif Çağda Kandemir","doi":"10.1016/j.advengsoft.2024.103781","DOIUrl":"10.1016/j.advengsoft.2024.103781","url":null,"abstract":"<div><div>Inter-story isolation systems, as an alternative earthquake protection system, reduce in-building movement compared to base isolation systems. In this context, the current study focuses on simultaneously optimizing the topology and capacity of base and inter-story isolation systems for a multi-story building exposed to multiple earthquake scenarios. In addressing this challenge, an optimization model is developed that simultaneously considers both the topology (vertical arrangement) and capacity (required stiffness) of the seismic isolators as the decision variables of the model. To attain more practical and feasible solutions, the side constraints of the problem involve the inter-story drift and the total cost of seismic isolation systems. A gradient-free and self-adaptive search method, Fuzzy Differential Evolution incorporated Virtual Mutant (FDEVM), is employed to solve the optimization problem. The FDEVM approach applies a fuzzy mechanism to adopt its search behavior with governing condition(s) of the current problem. The selected method's performance is implicitly compared with its standard version. The obtained results indicate that optimally placing inter-story isolators with an optimal configuration and capacity not only improves the seismic performance of the systems but also its more cost-efficient approach compared with conventional based isolation systems. Also, the comparative outcomes indicate that the FDEVM method exhibits a high search capability for this class of problems.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"198 ","pages":"Article 103781"},"PeriodicalIF":4.0,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142327376","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}

引用次数: 0

Accelerated segregated finite volume solvers for linear elastostatics using machine learning 利用机器学习加速线性弹性力学的分离有限体积求解器

IF 4 2区工程技术

Advances in Engineering Software Pub Date : 2024-09-23 DOI: 10.1016/j.advengsoft.2024.103763

Scott Levie, Philip Cardiff

{"title":"Accelerated segregated finite volume solvers for linear elastostatics using machine learning","authors":"Scott Levie, Philip Cardiff","doi":"10.1016/j.advengsoft.2024.103763","DOIUrl":"10.1016/j.advengsoft.2024.103763","url":null,"abstract":"<div><div>The segregated solution algorithm is widely used for solving finite volume continuum mechanics problems. One major contributor to the computational time requirement of this approach is the high number of outer iterations needed to achieve convergence. The methodology proposed in this work aims to decrease the computational time required by employing an artificial neural network to predict converged solution fields for linear elastostatic finite volume analyses. The machine learning model is trained on coarse mesh data using a sequence of consecutive initial unconverged displacement fields as inputs and the converged displacement field as the target. Subsequently, the trained model is used to predict the converged displacement field for a fine mesh case. The speedup calculation incorporates the time required to run the coarse mesh case and train the machine learning model. The typical speedups achieved using the proposed technique in this study range between 2 and 4. However, it has the potential to achieve higher speedups, with the maximum observed in this study being 13.3.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"198 ","pages":"Article 103763"},"PeriodicalIF":4.0,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0965997824001704/pdfft?md5=2f248d5cd01074e0e68b9bc10612f237&pid=1-s2.0-S0965997824001704-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142313030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Topology optimization of periodic structures under multiple dynamic uncertain loads 多重动态不确定负载下周期性结构的拓扑优化

IF 4 2区工程技术

Advances in Engineering Software Pub Date : 2024-09-16 DOI: 10.1016/j.advengsoft.2024.103777

Jinhu Cai, Jing Huang, Long Huang, Qiqi Li, Lairong Yin

{"title":"Topology optimization of periodic structures under multiple dynamic uncertain loads","authors":"Jinhu Cai, Jing Huang, Long Huang, Qiqi Li, Lairong Yin","doi":"10.1016/j.advengsoft.2024.103777","DOIUrl":"10.1016/j.advengsoft.2024.103777","url":null,"abstract":"<div><p>Periodic structures have attracted considerable attention in lightweight design due to their high specific strength and stiffness. Despite this, existing topology optimization research on these structures typically focuses on deterministic, single-load cases. To address the limitations arising from real-world, variable load conditions, this study presents a robust method for the topology optimization of periodic structures under both multiple and uncertain load cases. The proposed model integrates the uncertainty of the load magnitude, direction, and excitation frequency, employing the weighted sum of the mean and standard deviation of the dynamic structural compliance modulus as the objective function, constrained by the volume fraction of the structure. A method for uncertainty quantification is introduced, utilizing the bivariate dimension reduction technique and Gauss-type quadrature. Leveraging the displacement superposition principle in linear elastomers, we provide a method to calculate the mean and standard deviation of the dynamic structural compliance modulus under these complex load cases. Additionally, the sensitivity of the objective function concerning design variables is derived. The effectiveness of the proposed method is verified through numerical examples, revealing the effect of load uncertainty on the topology optimization of periodic structures.</p></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"198 ","pages":"Article 103777"},"PeriodicalIF":4.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142239126","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}

引用次数: 0

Comprehensive resilience assessment of bridge networks using ensemble learning method 利用集合学习法对桥梁网络进行综合复原力评估

IF 4 2区工程技术

Advances in Engineering Software Pub Date : 2024-09-12 DOI: 10.1016/j.advengsoft.2024.103774

Guojun Yang , Dongxu Wu , Jianbo Mao , Yongfeng Du

{"title":"Comprehensive resilience assessment of bridge networks using ensemble learning method","authors":"Guojun Yang , Dongxu Wu , Jianbo Mao , Yongfeng Du","doi":"10.1016/j.advengsoft.2024.103774","DOIUrl":"10.1016/j.advengsoft.2024.103774","url":null,"abstract":"<div><p>The assessment of seismic resilience in bridge networks holds significant importance for urban disaster prevention and mitigation efforts. Unlike individual bridges, there has been limited efficiency in assessing bridge networks. A seismic resilience assessment methodology for bridge networks using ensemble learning methods is proposed in this paper. Initially, a comprehensive resilience index is proposed, integrating both structural and functional aspects of bridge networks. Using 3 ensemble learning methods, 9 parameters related to network structure and traffic characteristics are chosen as input variables for predicting the seismic resilience index. Finite element models of 18 bridges are constructed and combined to generate 3500 sets of virtual bridge networks for model training. The predictive accuracy of models trained using the 3 ensemble methods exceeds 89 %, and the expected values of peak ground acceleration (<em>PGA</em>) and functional loss rate are the most influential features. The methodology offers insights into the application of ensemble learning for bridge network seismic resilience assessment.</p></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"198 ","pages":"Article 103774"},"PeriodicalIF":4.0,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142172735","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}

引用次数: 0

Image reconstruction based on nonconvex overlapping group sparse regularization for planar ECT defect detection 基于非凸重叠群稀疏正则化的图像重建，用于平面 ECT 缺陷检测

IF 4 2区工程技术

Advances in Engineering Software Pub Date : 2024-09-10 DOI: 10.1016/j.advengsoft.2024.103767

Zhihao Tang, Lifeng Zhang

{"title":"Image reconstruction based on nonconvex overlapping group sparse regularization for planar ECT defect detection","authors":"Zhihao Tang, Lifeng Zhang","doi":"10.1016/j.advengsoft.2024.103767","DOIUrl":"10.1016/j.advengsoft.2024.103767","url":null,"abstract":"<div><p>Composite materials have been widely applied in aerospace, automotive, and construction industries, making the non-destructive testing of these materials crucial. Planar electrical capacitance tomography (ECT), as a permittivity visualization technology, holds significant potential for development in the field of non-destructive testing. However, the underdetermination of its inverse problem often poses a key challenge to the imaging quality. To alleviate the underdetermination of the inverse problem and improve the image reconstruction quality of planar ECT, an image reconstruction method based on nonconvex overlapping group sparsity (NOGS) regularization is proposed. Firstly, the <em>l</em><sub>2,1</sub> overlapping group sparse regularization model for normalized permittivity is established. Secondly, nonconvex functions are utilized as the external functions of the <em>l</em><sub>2,1</sub> norm to form a NOGS regularization model. Finally, a Fast Non-Convex Overlapping Group Sparse Algorithm (FaNogSa) based on the LBP solution is proposed to solve the model for image reconstruction. To validate the effectiveness of this method, simulations, and experiments are conducted, and comparisons are made with the Tikhonov algorithm, Landweber algorithm, <em>l</em><sub>1</sub> norm method, Laplace Prior-Based Efficient Sparse Bayesian Learning (L-ESBL), student's T Prior-Based Efficient Sparse Bayesian Learning (S-ESBL), and method by combining the density-based spatial clustering of applications with noise clustering algorithm and self-adaptive alternating direction method of multipliers (DBSCAN-SADMM) algorithm. Results demonstrate that NOGS outperforms other algorithms in terms of reconstruction accuracy, convergence time, and robustness. Among NOGS, NOGS (atan) performs the best, NOGS (abs) performs the worst, and NOGS (log) falls in between.</p></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"198 ","pages":"Article 103767"},"PeriodicalIF":4.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142161674","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}

引用次数: 0

Comparative analysis of seismic response reduction in multi-storey buildings equipped with base isolation and passive/active friction-tuned mass dampers 采用基础隔震和被动/主动摩擦调谐质量阻尼器降低多层建筑地震响应的比较分析

IF 4 2区工程技术

Advances in Engineering Software Pub Date : 2024-09-10 DOI: 10.1016/j.advengsoft.2024.103765

Morteza Akbari , Mohammad Seifi , Tomasz Falborski , Robert Jankowski

{"title":"Comparative analysis of seismic response reduction in multi-storey buildings equipped with base isolation and passive/active friction-tuned mass dampers","authors":"Morteza Akbari , Mohammad Seifi , Tomasz Falborski , Robert Jankowski","doi":"10.1016/j.advengsoft.2024.103765","DOIUrl":"10.1016/j.advengsoft.2024.103765","url":null,"abstract":"<div><p>This study presents an innovative approach to mitigating seismic responses in multi-storey buildings equipped with a base-isolation (BI) system and passive friction-tuned mass dampers (PFTMDs). The key innovation lies in the combined use of a BI system and a PFTMD system, as well as the activation of this mechanical system by controllers. Additionally, the research design optimizes the parameters of these devices specifically for each earthquake scenario and compares the results to the average of the optimal parameters, which has not been investigated in previous studies. In this study, a 10-storey structure is modeled, featuring a BI system beneath the first floor and a PFTMD system on the roof. The parameters for the BI, PFTMD, BI-PFTMD, and BI-active FTMD (BI-AFTMD) systems are independently optimized using a multi-objective particle swarm optimization (MOPSO) algorithm. To enhance the passive BI-PFTMD system, a proportional-integral-derivative (PID) controller is incorporated into the friction-tuned mass damper system, resulting in the BI-AFTMD hybrid control system that adjusts the final control force transmitted to the structure. The seismic performance of these systems is assessed for the 10-storey building under both far-field and near-field earthquakes. The findings reveal that these control systems significantly decrease average peak displacement, acceleration, and inter-storey drift as compared to an uncontrolled structure, especially when system parameters are optimized for the same earthquake scenario. Using average optimal parameters, the BI-AFTMD system achieves the most substantial reduction in average peak displacement, while the BI system offers the greatest reduction in average peak acceleration and inter-storey drift.</p></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"198 ","pages":"Article 103765"},"PeriodicalIF":4.0,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142161673","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}

引用次数: 0

Improved mode shape expansion method for cable-stayed bridge using modal approach and artificial neural network 利用模态法和人工神经网络改进斜拉桥的模态振型扩展方法

IF 4 2区工程技术

Advances in Engineering Software Pub Date : 2024-09-07 DOI: 10.1016/j.advengsoft.2024.103766

Namju Byun , Jeonghwa Lee , Yunhak Noh , Young-Jong Kang

{"title":"Improved mode shape expansion method for cable-stayed bridge using modal approach and artificial neural network","authors":"Namju Byun , Jeonghwa Lee , Yunhak Noh , Young-Jong Kang","doi":"10.1016/j.advengsoft.2024.103766","DOIUrl":"10.1016/j.advengsoft.2024.103766","url":null,"abstract":"<div><p>The Structure Equivalent Reduction-Expansion Process (SEREP), which has been widely used to expand experimental mode shapes, has the limitation of low accuracy of expansion for experimental mode shapes that are poorly correlated with finite element (FE) mode shapes. To address this limitation, a novel mode shape expansion method using modal approach and artificial neural network (ANN) is proposed in this paper. The ANN replaced the least-squares method to optimize the modal coordinates and considered the natural frequency and experimental mode shape of the master DOFs as input data. The superiority of the proposed ANN method compared with the SEREP was verified using a numerical cable-stayed bridge model. The proposed method, which can use a large number of FE mode shapes and optimize modal coordinates based on the ANN, achieved high accuracy (modal assurance criterion > 0.9 and normalized mean absolute percent error < 5 %) in expanding experimental mode shapes that have poor correlation. In addition, using the proposed method, the number of required experimental data can be reduced, and additional processes such as optimal selection of FE mode shapes and FE model modification can be omitted.</p></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"198 ","pages":"Article 103766"},"PeriodicalIF":4.0,"publicationDate":"2024-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142157739","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}

引用次数: 0

Formal modelling and validation of a novel building information model 新型建筑信息模型的正式建模和验证

IF 4 2区工程技术

Advances in Engineering Software Pub Date : 2024-09-02 DOI: 10.1016/j.advengsoft.2024.103761

Linlin Kong, Qiliang Yang, Qizhen Zhou, Jianchun Xing, Yin Chen

{"title":"Formal modelling and validation of a novel building information model","authors":"Linlin Kong, Qiliang Yang, Qizhen Zhou, Jianchun Xing, Yin Chen","doi":"10.1016/j.advengsoft.2024.103761","DOIUrl":"10.1016/j.advengsoft.2024.103761","url":null,"abstract":"<div><p>Building Information Physical Model (BIPM) is a new special information model in which information processes and physical processes are coupled and intertwined, integrating static information, dynamic interaction mechanisms and physical mechanisms, while how to model and verify the theory of BIPM becomes an urgent problem to be solved. In this paper, firstly, we further improve the BIPM conceptual framework to make the interaction between the information model, the physical model, the interaction model and the three sub-models more clear and complete. In this way, we achieve the purpose of integrating dynamic and static attribute information and physical information of buildings into one environment. Secondly, we combine the implementation logic of BIPM with a strict mathematical description to establish the theoretical model of BIPM, so that BIPM accurately and realistically reflects the behavioral state in physical space, realizes the two-way interaction of virtual physics, achieving the purpose of controlling physics with virtual and optimal regulation. Again, we validated the theoretical model of BIPM by formal modelling using Communication Sequential Process (CSP), which proved the reliability and correctness of BIPM. Further, we have built a BIPM prototype system in conjunction with a chiller to validate the proposed modelling approach, which proves the feasibility and effectiveness of the modelling approach. BIPM is expected to form a new paradigm for information model of the building, which will provide basic support for the development of new platforms such as BIPM-based building operation and maintenance and urban digital twin.</p></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"197 ","pages":"Article 103761"},"PeriodicalIF":4.0,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142122160","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}

引用次数: 0

A unified optimization design method for multi-stage non-circular gear transmission based on periodic B-spline interpolation 基于周期 B-样条插值的多级非圆齿轮传动统一优化设计方法

IF 4 2区工程技术

Advances in Engineering Software Pub Date : 2024-08-28 DOI: 10.1016/j.advengsoft.2024.103760

Meng Ao , Gaohong Yu , Lei Wang , Liang Sun , Yuanhao Ren

{"title":"A unified optimization design method for multi-stage non-circular gear transmission based on periodic B-spline interpolation","authors":"Meng Ao , Gaohong Yu , Lei Wang , Liang Sun , Yuanhao Ren","doi":"10.1016/j.advengsoft.2024.103760","DOIUrl":"10.1016/j.advengsoft.2024.103760","url":null,"abstract":"<div><p>This research introduces a novel and unified optimization design method for multi-stage non-circular gear transmission (MNCGT) to address the challenges in designing MNCGT for complex motion requirements. The method optimizes non-circular gears comprehensively, reducing design and manufacturing difficulties while ensuring the realization of specified transmission requirements. A unified parameterization method, grounded on periodic B-spline interpolation, is introduced to establish the transmission function of non-circular gears and map it to a finite unified variable space. This innovative approach effectively reduces the difficulty and constraints of MNCGT optimization design. The proposed method takes into account crucial factors such as non-circularity, smoothness, processing conditions, and contact ratio, which significantly impact the transmission performance and manufacturing feasibility of non-circular gears. The effectiveness and superiority of this method are demonstrated through two practical examples and a real-world application in a planetary gear transplant mechanism, highlighting its potential for solving complex engineering problems.</p></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"197 ","pages":"Article 103760"},"PeriodicalIF":4.0,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142089668","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}

引用次数: 0