Multi-Objective Optimization of Spatially Truss Structures Based on Node Movement

Nan, Bo; Bai, Yikui; Wu, Yue

doi:10.3390/app10061964

Cited by 16 publications

(14 citation statements)

References 17 publications

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“…Concerning structural systems and trusses optimisation, recent improvements include multi-objective optimisation techniques [395], Differential Evolution Algorithms [267], quantile regression for fostering the use of (discontinuous) I-beam cross-sections as design variables [396], and developments with the Interior Point method for non-linear and non-convex truss optimisation problems [397]. However, one of the most impressive developments can be found by Larsen et al [398], a near-optimal truss design based on the homogenisation-based continuum TO.…”

Section: Steel Elements Designmentioning

confidence: 99%

Topology Optimisation in Structural Steel Design for Additive Manufacturing

2021

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Topology Optimisation is a broad concept deemed to encapsulate different processes for computationally determining structural materials optimal layouts. Among such techniques, Discrete Optimisation has a consistent record in Civil and Structural Engineering. In contrast, the Optimisation of Continua recently emerged as a critical asset for fostering the employment of Additive Manufacturing, as one can observe in several other industrial fields. With the purpose of filling the need for a systematic review both on the Topology Optimisation recent applications in structural steel design and on its emerging advances that can be brought from other industrial fields, this article critically analyses scientific publications from the year 2015 to 2020. Over six hundred documents, including Research, Review and Conference articles, added to Research Projects and Patents, attained from different sources were found significant after eligibility verifications and therefore, herein depicted. The discussion focused on Topology Optimisation recent approaches, methods, and fields of application and deepened the analysis of structural steel design and design for Additive Manufacturing. Significant findings can be found in summarising the state-of-the-art in profuse tables, identifying the recent developments and research trends, as well as discussing the path for disseminating Topology Optimisation in steel construction.

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Section: Steel Elements Designmentioning

confidence: 99%

Topology Optimisation in Structural Steel Design for Additive Manufacturing

2021

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“…Contemporary research has been conducted either to improve the optimization method or to speed up the structural analysis process. With the advent of computer technology, there has been a development in the field of numerical structural analysis methods based on the finite element method (FEM) [1][2][3], but also on other numerical methods [4,5]. There are many types of optimization problems in structural engineering, and here we will focus our attention on sizing and topology optimization of truss structures using genetic algorithm.…”

Section: Introductionmentioning

confidence: 99%

Sizing and Topology Optimization of Trusses Using Genetic Algorithm

et al. 2021

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Genetic algorithms are a robust method for a solution of wide variety optimization problems. It explores a big space of design variables in order to find the best solution. From the point of view of a user, the algorithm requires the encoding of design variables into the form of strings and the procedure of optimization uses them for optimization. Here, for the structural engineer, it is crucial to find the form of objective function including the constraints of the task and also to avoid critical states during the solution of structural responses. This paper presents the use of genetic algorithm for solving truss structures. The use of genetic algorithm approach is shown on three cases of truss structures.

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“…An efficient algorithm for optimization of the layout of trusses is proposed in Reference [23]. Multi-objective optimization of spatial trusses based on node movement is shown in [24].…”

Section: Introductionmentioning

confidence: 99%

Modeling of Curvilinear Steel Rod Structures Based on Minimal Surfaces

Dzwierzynska

Labuda

2021

Materials

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The article deals with shaping effective curvilinear steel rod roof structures using genetic algorithms by implementing them for the analysis of various case studies in order to find new and efficient structures with positive characteristics. The structures considered in this article are created on the basis of the Enneper surface and minimal surfaces stretched on four arcs. On the Enneper surface, a single layer grid is used, while on the other surfaces, two-layer ones. The Enneper form structure with four supports and the division into an even number of parts along the perimeter of the covered place proved to be the most efficient, and the research showed that small modifications of the initial base surface in order to adapt the structure to the roof function did not significantly affect its effectiveness. However, the analysis and comparison of single and double-shell rod structures based on minimal surfaces stretched on four arcs have shown that a single-shell structure is much more effective than a double one. The paper considers the theoretical aspects of shaping effective structures, taking their masses as the optimization criterion. The optimization helped to choose the best solutions due to structures’ shapes and topologies. However, the obtained, optimized results can find practical applications after conducting physical tests.

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Multi-Objective Optimization of Spatially Truss Structures Based on Node Movement

Cited by 16 publications

References 17 publications

Topology Optimisation in Structural Steel Design for Additive Manufacturing

Topology Optimisation in Structural Steel Design for Additive Manufacturing

Sizing and Topology Optimization of Trusses Using Genetic Algorithm

Modeling of Curvilinear Steel Rod Structures Based on Minimal Surfaces

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