Topology optimization and geometric nonlinear modeling using positional finite elements

Paulino, Daniele Melo Santos; Leonel, Edson Denner

doi:10.1007/s11081-021-09661-9

Cited by 5 publications

(5 citation statements)

References 54 publications

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“…If the robustness is enhanced from the initial network, then this reconnection is considered (line 15). Otherwise, another reconnection is performed and new edges e il and e jk are formed (lines [16][17]. Then, the network robustness is computed (line 19).…”

Section: Inter-core Based Reconnection Strategymentioning

confidence: 99%

“…8,9 Hence, it is a research challenge to design a resilient network against malicious attacks [10][11][12][13][14][15] along with topology optimization. [16][17][18] The SFNs is constructed using a preferential attachment process. 7 In the process, when a new node enters the network, it is connected with the existing nodes having maximum connections among them.…”

Section: Introductionmentioning

confidence: 99%

“…Whereas, it is weak against malicious attacks 8,9 . Hence, it is a research challenge to design a resilient network against malicious attacks 10–15 along with topology optimization 16–18 …”

Section: Introductionmentioning

confidence: 99%

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Towards a robust scale‐free network in internet of health things against multiple attacks using an inter‐core based reconnection strategy

Abbas,

Javaid,

Alrajeh

et al. 2024

Concurrency and Computation

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SummaryWireless sensor networks (WSNs) have attained a great attraction of researchers in the recent years. In these networks, many structures are considered that have different properties. This article offers a unique approach, the inter‐core based reconnection strategy (ICRS), which is intended to improve the robustness of Scale‐Free Networks (SFNs) in the setting of wireless sensor networks (WSNs), with a special emphasis on the Internet of Health Things (IoHT) network. SFNs' vulnerabilities to malicious assaults while remaining resilient to random attacks. The proposed ICRS overcomes this issue by offering a novel reconnection approach that employs separate edges between network centers. Destructive assaults that have a significant impact on network connectivity, emphasizing the importance of a robust network that can resist a variety of attacks. ICRS is positioned as a solution that optimizes the network via reconnection techniques, changing it into an onion‐like structure with increased robustness. The simulation results depict that ICRS outperforms the existing algorithms in terms of robustness enhancement. The results show that ICRS performs 48%, 29%, 22%, and 16% better than Barabasi Albert (BA), Hill Climbing (HC), Simulated Annealing (SA), Random Edge Swap Mechanism (RESM), and Robustness Strategy (ROSE), respectively.

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Section: Inter-core Based Reconnection Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Towards a robust scale‐free network in internet of health things against multiple attacks using an inter‐core based reconnection strategy

Abbas,

Javaid,

Alrajeh

et al. 2024

Concurrency and Computation

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“…This is the case with recent codes in FreeFEM [47] by Zhu et al and Matlb by Zhao et al [48]. Moreover, a few recent developments, such as Sun and Lueth's three-dimensional TO method for flexure joints [49], geometrically nonlinear BESO [50], progress in specific issues of nonlinear TO, such as the moving morphable components method [51], and the employment of the Sigmoid function for adaptive moving material [52], moving Wide-Beìzier components [53] or positional finite elements [54] have paved the way for broader use of nonlinear TO in design.…”

Section: Related Workmentioning

confidence: 99%

Topology Optimisation of Structural Steel with Non-Penalisation SEMDOT: Optimisation, Physical Nonlinear Analysis, and Benchmarking

Ribeiro,

Fu,

Bernardo

et al. 2023

Applied Sciences

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In this work, Non-penalisation Smooth-Edged Material Distribution for Optimising Topology (np-SEMDOT) algorithm was developed as an alternative to well-established Topology Optimisation (TO) methods based on the solid/void approach. Its novelty lies in its smoother edges and enhanced manufacturability, but it requires validation in a real case study rather than using simplified benchmark problems. To such an end, a Sheikh-Ibrahim steel girder joint’s tension cover plate was optimised with np-SEMDOT, following a methodology designed to ensure compliance with the European design standards. The optimisation was assessed with Physical Nonlinear Finite Element Analyses (PhNLFEA), after recent findings that topologically optimised steel construction joint parts were not accurately modelled with linear analyses to ensure the required highly nonlinear ultimate behaviour. The results prove, on the one hand, that the quality of np-SEMDOT solutions strongly depends on the chosen optimisation parameters, and on the other hand, that the optimal np-SEMDOT solution can equalise the ultimate capacity and can slightly outperform the ultimate displacement of a benchmarking solution using a Solid Isotropic Material with Penalisation (SIMP)-based approach. It can be concluded that np-SEMDOT does not fall short of the prevalent methods. These findings highlight the novelty in this work by validating the use of np-SEMDOT for professional applications.

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“…The field of solid mechanics regards that method as an establish to across nonlinear elastic and small-displacement applications. [2]. Topology optimization is used to identify the ideal sensitive robotic structure for user-defined needs, unlike standard design approaches.…”

Section: Introductionmentioning

confidence: 99%

Topology Optimization using Nonlinear Finite Element Analysis

Kushwaha

2023

cana

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Topology optimization is a structural-mechanical investigation that structures optimization function values in an optimization iteration. Topology optimization with nonlinear static behavior is difficult due to several design considerations. Due of significant integrate distortion, low-density finite elements provide significant numerical challenges in the prevailing element density focused topology planning taking nonlinear dynamics under factor. Iterative procedures are used in the Bi-directional Evolutionary Structural Optimization (BESO) technique for reducing waste from a structure while concurrently adding efficient material using a finite element-based topology optimization strategy. Integrating the fully-connected Deep Neural Network (DNN) with the norm-level-set techniques yields a powerful method for optimizing structural topology. Hence, BESO-DNN has been designed spatial optimization of material distribution inside a specified area is the focus of topology optimization is a mathematical approach for minimizing a certain cost function while meeting a set of predefined restrictions. Topology optimization of geometrically non-linear systems is advantageous because of the solutions' lack of intermediate-density components and their great processing efficiency of high-resolution barrier representation can be effective. As a result, topology optimization is ensuring effective and providing fresh and efficient designs, understanding that outcomes needs an integration of credible decision-making, domain knowledge, and numerical analytic skills. The outcome of finite element analysis has to understand and anticipate an object's performance under various physical conditions using mathematical models, and testing.

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Topology optimization and geometric nonlinear modeling using positional finite elements

Cited by 5 publications

References 54 publications

Towards a robust scale‐free network in internet of health things against multiple attacks using an inter‐core based reconnection strategy

Towards a robust scale‐free network in internet of health things against multiple attacks using an inter‐core based reconnection strategy

Topology Optimisation of Structural Steel with Non-Penalisation SEMDOT: Optimisation, Physical Nonlinear Analysis, and Benchmarking

Topology Optimization using Nonlinear Finite Element Analysis

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