Advances in Engineering Software最新文献

Study on the dynamic performance of the vehicle-ballastless track system subjected to dislocation of fault zone

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-04-26 DOI: 10.1016/j.advengsoft.2025.103938

Zheng Li , Weidong Wang , Lei Xu , Jun Peng

China's High-speed railways are now being constructed on a large scale in the complex mountainous regions of the West. However, due to the large number of active fault zones (AFZs) in western China, track structures inevitably need to be laid in fault zones. To understand the impact of small fault dislocations on the mechanical behavior of vehicle-track interaction in the elastic region, this paper establishes a vehicle-track-soil dynamic model. This model employs a novel iterative algorithm to describe and compute the static deformation of the track induced by the AFZ. Besides, the additional deformation of tracks is treated as the e of the vehicle-track-soil interaction system, for depicting its dynamic effects on the interaction system. The validation and an illustrative case are implemented in numerical studies, which demonstrate the effectiveness of the proposed model. The analysis results indicate that the dynamic performance of the vehicle-track interaction system in the vertical direction deteriorates obviously subjected to the dislocation of fault. The high stiffness of slab tracks exacerbates their vulnerability to fault-induced deformations, particularly for the phenomenon that large localized tensile stress occurs under the moving vehicle load. Moreover, the laying angle of the ballastless track is also a significant factor that degrades the performance of the vehicle-track interaction system subjected to fault dislocation, an aspect overlooked in previous research related to railway foundation deformation.

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引用次数: 0

Inflatable design and deployment morphology of conical Kresling origami structures

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-04-25 DOI: 10.1016/j.advengsoft.2025.103937

Liming Bo , Yao Chen , Xiaodong Feng , Xingwang Cao , Min Tang , Pooya Sareh

Inflatable capsules and tubular structures have been widely used in solar panels, floating platforms, and energy-absorbing components due to their beneficial characteristics, such as lightweight construction and convenient deployment. However, most traditional inflatable capsules require rigidification to maintain their stiffness and deployed shapes, which introduces additional complexity and challenges, especially in space exploration. In this study, we propose an inflatable cone based on the conical Kresling origami pattern, capable of achieving high surface flatness and a large deployment ratio without the need for rigidification. To this end, an improved design method for multi-layer conical origami structures is introduced. The folding and deployment processes of cones with various geometric parameters are analyzed through numerical simulations, focusing on maximum plastic strain, deployment ratio, and surface flatness. The results reveal that conical origami structures with a single chirality exhibit superior surface flatness. Increasing the number of creases and the arc radius can effectively reduce maximum plastic strain. However, excessive creases and an overly large arc radius can negatively impact both the deployment ratio and surface flatness. Additionally, reducing the structure's conicity lowers the deployment ratio and plastic strain but has little effect on surface flatness. The proposed inflatable metallic cone shows strong potential for applications in aerospace and structural engineering.

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引用次数: 0

Uncertainty quantification of engineering problems using N-body system designs: An overview

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-04-25 DOI: 10.1016/j.advengsoft.2025.103927

Jan Mašek, Miroslav Vořechovský

When conducting an uncertainty quantification of computationally intensive models, it is vital that the realizations of the input random variables are consciously selected so that completing of each simulation yields as much new information as possible. To achieve that, a great effort is invested into optimization of uniformity of input sampling points across the design domain.

The purpose of this paper is threefold: (i) it provides a review of design optimality criteria, with a focus on distance-based criteria that can be viewed in analogy to N-body systems, and includes comparisons to low-discrepancy designs; (ii) it documents, for the first time, that point samples obtained using the authors’ previously developed N-body optimization algorithm Vořechovský et al. (2019), Vořechovský and Mašek (2020) exhibit exceptional uniformity and outperform samples generated by existing methods; and (iii) it explains potential pitfalls of applying N-body analogies too naively — such as neglecting energetic considerations, dimension scaling, and domain boundaries — as well as identifies opportunities for efficient computational implementation. We demonstrate that using these optimized designs in numerical analyses, both in research and engineering practice, leads to either a substantial increase in estimation precision or a reduction in the number of model runs required to achieve a desired estimation error. The performance of the constructed point samples is compared to the sampling methods that are today considered as go-to sampling strategies by researchers and practicing engineers. It is demonstrated that the proposed optimization method is superior to the state-of-the art methods in both robustness as well as estimation error (variance reduction). Inherent limitations for vast point samples posed by a finite computing power are also discussed.

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引用次数: 0

On the nonlinear dynamic performance of a novel bistability-driven soft robot

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-04-23 DOI: 10.1016/j.advengsoft.2025.103940

Jie Liu , Dezheng Jiang , Zhiyong Li , Junfeng He , Linjie Jian , Hongxin Wang , Guilin Wen , Zhen-Pei Wang , Yi Min Xie

Soft robots have many advantages, including large deformation and excellent motion capability in complex environments. Finding the dynamic behaviour of soft robots is essential for their control and performance optimization. This work has theoretically and experimentally studied the nonlinear dynamic performances of a novel bistability-driven soft robot. The bistable structure consists of a soft spine, an origami shell, and tension springs, which is the critical component to drive the soft robot to move fast, but also generates complex nonlinear dynamic behavior. A nonlinear dynamic model of the soft robot is established based on the piecewise constant curvature method, the generalized coordinate, and Lagrange equations. Extensive experiments have been conducted to investigate the nonlinear dynamic performance of the soft spine, the bistable structure, and the soft robot. Dynamic tests have verified the effectiveness of the theoretical model in terms of the bending angle, velocity, and acceleration changes with time and the deformation morphology at limit states. Results show that the soft robot can switch between two stable states in 0.5 s and rapidly stabilize, enabling rapid movement.

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引用次数: 0

Size-dependent topology optimization for eigenfrequency maximization of microplates using consistent couple stress theory

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-04-23 DOI: 10.1016/j.advengsoft.2025.103941

M.Z. Roshanbakhsh, S.M. Tavakkoli

This paper aims to maximize the fundamental eigenfrequency of the Mindlin microplate using the topology optimization approach and consistent couple stress theory (CCST). The modified bound formulation and the modified solid isotropic material with penalization (SIMP) approach are implemented to circumvent some undesired issues including repeated eigenfrequencies and localized mode. A four-node finite element with 80 degrees of freedom is used to meet the CCST-based C¹ continuity requirements, which reduces to 48 degrees of freedom when stretching deformation is neglected. The generalized optimality criteria method (G-OCM) is adopted to update the design variables. Subsequently, undesired frequency bands are removed by using a continuously differentiable frequency band constraint (FBC). The optimal topology for in-plane and out-of-plane vibration as well as their coupling mode are presented. Also, the optimal distribution of the nano-reinforcement phase to maximize the eigenfrequency of the nanocomposite microplate is determined. To achieve this, the reinforcement-phase element volume fraction and a special unified homogenization function, instead of SIMP, are considered for the design variable and material properties interpolation scheme, respectively. The small-scale effects are investigated by using some benchmark examples, which reveal that as in-plane dimensions approach the length scale parameter, the optimal topology will no longer resemble the classical form. Moreover, the obtained results show that the proposed nano-reinforcement design significantly increases the microplate fundamental eigenfrequency by the addition of only 1 % of reduced graphene oxide (rGO).

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引用次数: 0

Integrating custom constitutive models into FEniCSx: A versatile approach and case studies

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-04-20 DOI: 10.1016/j.advengsoft.2025.103922

Sjard Mathis Rosenbusch, Philipp Diercks, Vitaliy Kindrachuk, Jörg F. Unger

The development and integration of user-defined constitutive relationships into finite element (FE) tools using standardized interfaces play a pivotal role in advancing the capabilities of FE solvers for structural mechanics applications. While commercial FE solvers like Abaqus and Ansys have designed their interfaces to provide custom stresses, tangents, and updated history variables, the open-source solver FEniCSx remains efficient only when the constitutive update has an analytical representation. This restricts the application of FEniCSx for non-linear structural mechanics.

Since FEniCSx has become a powerful and popular open-source tool for solving partial differential equations, particularly due to its automatic computation of Hessians, we aim to develop a generalized interface to enhance its capability for constitutive modeling. This approach will address complex constitutive equations that require iterative solutions at the quadrature point level. Specific implementation challenges, such as using return-mapping procedures, can then be managed commonly. The provided interface for custom constitutive models offers a versatile way to implement them in various languages, including C++, Python, Rust, and Fortran. Finally, with UMATs for viscoplastic models as an example, we demonstrate how existing user subroutines can be incorporated into the interface and utilized within the FEniCSx framework.

使用标准化接口将用户定义的构成关系开发并集成到有限元（FE）工具中，对于提高有限元求解器在结构力学应用中的能力具有举足轻重的作用。Abaqus 和 Ansys 等商业有限元求解器设计的接口可提供自定义应力、切线和更新的历史变量，而开源求解器 FEniCSx 只有在构成更新具有分析表示时才能保持高效。这限制了 FEniCSx 在非线性结构力学中的应用。由于 FEniCSx 已成为一款功能强大且广受欢迎的开源偏微分方程求解工具，特别是由于它能自动计算赫赛因，我们的目标是开发一个通用接口，以增强其在构造建模方面的能力。这种方法将解决需要在正交点水平上进行迭代求解的复杂构造方程。具体的实施挑战，如使用返回映射程序，则可以共同管理。为自定义构造模型提供的接口提供了一种通用方法，可以用各种语言（包括 C++、Python、Rust 和 Fortran）实现这些模型。最后，我们以粘弹性模型的 UMATs 为例，演示了如何将现有的用户子程序纳入界面并在 FEniCSx 框架中加以利用。

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引用次数: 0

A rapid reconstruction strategy of full-domain temperature field based on discrete measurement points for electronics thermal management

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-04-19 DOI: 10.1016/j.advengsoft.2025.103935

Yuwei Ye , Qing Ai , Xu Zhang , Meng Liu , Yong Shuai

Dynamic thermal management of multi-heat-source systems increasingly relies on full-domain thermal analysis and evaluations in real-time. However, the conventional discrete measurements and reconstruction techniques both struggle to capture the global temperature field evolution due to the real-time uncertainty of operating conditions. In addition, temperature field inversion of heat-source systems in the small data regime is also a challenging problem to be solved in practical engineering systems. Therefore, a rapid reconstruction strategy based on a small dataset and sparse sensors is described, herein to monitor the full-domain thermal states online, irrespective of variable operating conditions. Specifically, by dimensionality reduction, a series of low-dimensional eigenvectors can be identified from a small high-fidelity dataset under diverse operating conditions, characterizing the most dominant spatial distribution and evolutionary patterns of the thermal field. Online reconstruction is driven by dynamically adjusting the eigenvector coefficients by minimizing the error between real-time measurements and predictions. The global state is further estimated via assembling the order-reduced eigenvectors in a specific formula. In addition, QR decomposition is integrated for robust reconstruction. The feasibility and potential of the reconstruction technique was proved by analytical nondimensionalized temperature models. Finally, an extensive evaluation was concluded by referring to the simulation cases of a distributed multi-heat-source system with anisotropic thermal conductivity and in variable environments. The reconstruction results demonstrate the effectiveness and fast dynamic response of this approach, which can facilitate the synchronized monitoring of the global thermal distribution and effectively assist in regulating internal heat transport.

{"title":"A rapid reconstruction strategy of full-domain temperature field based on discrete measurement points for electronics thermal management","authors":"Yuwei Ye , Qing Ai , Xu Zhang , Meng Liu , Yong Shuai","doi":"10.1016/j.advengsoft.2025.103935","DOIUrl":"10.1016/j.advengsoft.2025.103935","url":null,"abstract":"<div><div>Dynamic thermal management of multi-heat-source systems increasingly relies on full-domain thermal analysis and evaluations in real-time. However, the conventional discrete measurements and reconstruction techniques both struggle to capture the global temperature field evolution due to the real-time uncertainty of operating conditions. In addition, temperature field inversion of heat-source systems in the small data regime is also a challenging problem to be solved in practical engineering systems. Therefore, a rapid reconstruction strategy based on a small dataset and sparse sensors is described, herein to monitor the full-domain thermal states online, irrespective of variable operating conditions. Specifically, by dimensionality reduction, a series of low-dimensional eigenvectors can be identified from a small high-fidelity dataset under diverse operating conditions, characterizing the most dominant spatial distribution and evolutionary patterns of the thermal field. Online reconstruction is driven by dynamically adjusting the eigenvector coefficients by minimizing the error between real-time measurements and predictions. The global state is further estimated via assembling the order-reduced eigenvectors in a specific formula. In addition, QR decomposition is integrated for robust reconstruction. The feasibility and potential of the reconstruction technique was proved by analytical nondimensionalized temperature models. Finally, an extensive evaluation was concluded by referring to the simulation cases of a distributed multi-heat-source system with anisotropic thermal conductivity and in variable environments. The reconstruction results demonstrate the effectiveness and fast dynamic response of this approach, which can facilitate the synchronized monitoring of the global thermal distribution and effectively assist in regulating internal heat transport.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"206 ","pages":"Article 103935"},"PeriodicalIF":4.0,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143850695","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

Topology optimization of steel slotted dampers with the hybrid cellular automata technique

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-04-17 DOI: 10.1016/j.advengsoft.2025.103921

Angie Mendoza-Cuy , Oscar Begambre-Carrillo , Jesús D. Villalba-Morales

Cellular automata is a computational technique that has proven valuable for solving engineering problems. In the field of structural optimization, it has been applied to find the optimal topology of a structure, given the similarities between the problem characteristics and the computational representation. This paper proposes a cellular automata-based methodology for the topology optimization of steel slotted dampers. A multi-objective approach is formulated to maximize the energy dissipation capacity and minimize the damper’s mass. A single-cycle displacement protocol is utilized to determine energy dissipation capacity in Ansys. The results demonstrate that the proposed algorithm improves the optimal shape obtained from a configuration with vertical slots more efficiently than other two algorithms in the literature. The energy dissipation capacity was increased by 3.5 times while using only fourteen iterations to converge. By testing several initial slot configurations, the CA-based method proved to be less dependent on the initial decision. Finally, the effects of using a one-cycle displacement protocol, symmetry considerations, and the height/width ratio are also discussed.

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引用次数: 0

Inverse design of multiband higher-order elastic topological insulators via generative deep learning

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-04-17 DOI: 10.1016/j.advengsoft.2025.103934

Lei Fan , Yafeng Chen , Jie Zhu , Zhongqing Su

Higher-order elastic topological insulators with corner states exhibit significant potential for robust elastic wave localization. Nevertheless, it is quite challenging to design multiband topological structures on demand via traditional empirical methods that rely on trial and error. Here, we present a novel inverse design paradigm for multiband higher-order elastic topological insulators based on deep learning techniques. A generative model that enables a vast design space is first developed, incorporating a rich series of unit cell patterns with the desired crystalline symmetry and fabrication feasibility. Thereafter, a predictive model is constructed to efficiently forecast the dispersion characteristics of any given unit cell, thereby accelerating the discovery of potential multiband topological structures. We demonstrate the effectiveness and reusability of the proposed design framework through diverse examples of multiband higher-order elastic topological insulators with multi-frequency corner states. This deep learning-driven approach addresses the limitations of conventional inverse design methods, which often require computationally expensive simulations and lack flexibility to variable design tasks. Our work underscores great potential of deep learning techniques for the inverse design of high-performance topological metamaterials.

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引用次数: 0

An open-source LS-DYNA implementation of the variational damage model

IF 4 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Advances in Engineering Software

Pub Date : 2025-04-13 DOI: 10.1016/j.advengsoft.2025.103924

Ya Duan , Xiaoying Zhuang , Huilong Ren , Timon Rabczuk

The variational damage model (VDM), formulated within a variational framework, provides an effective and computationally efficient approach to fracture modeling. However, existing implementations primarily rely on custom-developed codes, which limits their accessibility and broader adoption in engineering applications. To address this limitation, this study integrates newly developed variational damage models into the commercial finite element software LS-DYNA, enabling their practical use in large-scale simulations. Building upon the VDM and the novel variational damage model (NVDM) proposed by Ren et al. (2024), this work develops user-defined material subroutines (UMATs) for LS-DYNA: (i) UMAT-VDM: A variational damage model. (ii) UMAT-NVDM: An enhanced variational damage model incorporating a threshold parameter. The effectiveness of these implementations is assessed through a series of quasi-static and dynamic fracture simulations. The results demonstrate that both UMAT-VDM and UMAT-NVDM accurately capture sharp crack interfaces while maintaining computational efficiency due to the absence of gradient terms. Additionally, UMAT-NVDM produces finer crack patterns and exhibits improved capability in modeling complex fracture processes compared to UMAT-VDM. To facilitate further research and application, the open-source implementation of these subroutines, written in free-format FORTRAN90 syntax, is publicly available on GitHub at https://github.com/yaduann/vdm-and-nvdm.

在变分框架内制定的变分损伤模型（VDM）为断裂建模提供了一种有效且计算效率高的方法。然而，现有的实现方法主要依赖于定制开发的代码，这限制了其在工程应用中的可访问性和广泛采用。为解决这一局限性，本研究将新开发的变分损伤模型集成到商用有限元软件 LS-DYNA 中，使其在大规模模拟中得到实际应用。在 Ren 等人（2024 年）提出的 VDM 和新型变异损伤模型（NVDM）的基础上，本研究为 LS-DYNA 开发了用户自定义材料子程序（UMAT）：（i）UMAT-VDM：变异损伤模型。(ii) UMAT-NVDM：包含阈值参数的增强型变异损伤模型。通过一系列准静态和动态断裂模拟评估了这些实现方法的有效性。结果表明，UMAT-VDM 和 UMAT-NVDM 都能准确捕捉到尖锐的裂纹界面，同时由于没有梯度项而保持了计算效率。此外，与 UMAT-VDM 相比，UMAT-NVDM 能生成更精细的裂纹模式，并在复杂断裂过程建模方面表现出更强的能力。为便于进一步研究和应用，这些子程序的开源实现采用自由格式的 FORTRAN90 语法编写，可在 GitHub 上公开获取，网址为 https://github.com/yaduann/vdm-and-nvdm。

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引用次数: 0