A meshless method for topology optimization of structures under multiple load cases

Li, Jiao; Guan, Yanjin; Wang, Guangchun; Wang, Guilong; Zhang, Haiming; Lin, Jianguo

doi:10.1016/j.istruc.2020.03.005

Cited by 19 publications

(4 citation statements)

References 29 publications

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“…Liu et al aimed to create a reliable topological design by considering local material uncertainties in their work [14]. Li et al presented a meshless method that was developed for the TO problem of structures under multiple loading conditions [15]. Bi et al presented a new method that can effectively address protruding features in the bidirectional evolutionary structural optimization framework [16].…”

Section: Introduction *mentioning

confidence: 99%

Topology Optimization of Structural Drive-Train Component of an Electric Driven Vehicle for Additive Manufacturing

Kılıç,

Savaş,

Yücesoy

2024

Kocaeli Journal of Science and Engineering

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Topology Optimization of the motor support plate of the drive train of an existing electrically-driven race vehicle has been performed to optimize the dimension and reduce the weight of the part itself, utilizing FEA (Finite Element Analysis) based topology optimization software. Following the optimization process; force analysis and strength verification of the part by performing another FEA software to ensure safety while running under the maximum power as it was designed. In these analyses, the same material; Al 7075 alloy as the original part was made of was used in Additive Manufacturing and strength analysis simulation. The material mass reduction is 37 % for the present design as opposed to classical subtractive manufacturing. The minimal safety factor was calculated as 1.4, and this shows that we are on the safe side.

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Section: Introduction *mentioning

confidence: 99%

Topology Optimization of Structural Drive-Train Component of an Electric Driven Vehicle for Additive Manufacturing

Kılıç,

Savaş,

Yücesoy

2024

Kocaeli Journal of Science and Engineering

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“…Topology optimization (TO) has become a dynamic discipline, thus attracting researchers from different fields: mechanical, civil, and aerospace fields. It is supposed to be one of the most rewarding methods (Li et al 2020;Zhou and Rozvany 1991;Zhu et al 2016). Depending on the definition of the design variables, TO may generally be divided into two groups.…”

Section: Introductionmentioning

confidence: 99%

Reliability based topology optimization of thermoelastic structures using bi-directional evolutionary structural optimization method

Habashneh

Rad

2023

Int J Mech Mater Des

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The aim of this paper is to propose a novel computational technique of applying reliability-based design to thermoelastic structural topology optimization. Therefore, the optimization of thermoelastic structures' topology based on reliability-based design is considered by utilizing geometrical nonlinearity analysis. For purposes of introducing reliability-based optimization, the volume fraction parameter is viewed as a random variable with a normal distribution having a mean value and standard deviation. The Monte Carlo simulation approach for probabilistic designs is used to calculate the reliability index, which is used as a constraint related to the volume fraction constraint of the deterministic problem. A new bi-directional evolutionary structural optimization scheme is developed, in which a geometrically nonlinear thermoelastic model is applied in the sensitivity analysis. The impact of changing the constraint of a defined volume of the required design in deterministic problems is examined. Additionally, the impact of altering the reliability index in probabilistic problems is investigated. The effectiveness of the suggested approach is shown using a benchmark problem. Additionally, this research takes into account probabilistic thermoelastic topology optimization for a 2D L-shaped beam problem.

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“…Zhou and Rozvany [2] used continuum-based optimality criteria to identify the optimal topologies of various problems. Also, an approach for optimizing the topology of structures under diverse loading conditions was developed by Li et al [3]. Topology optimization is regarded as a dynamic study and development field.…”

Section: Introductionmentioning

confidence: 99%

A Developed Probabilistic Elasto-Plastic Bi-Directional Structural Optimization Framework

Rad,

Habashneh

2023

Advances in Transdisciplinary Engineering

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This work introduces a new approach for probabilistic elastoplastic topology optimization based on the improved bidirectional structural optimization (BESO) technique. To consider uncertainties, the volume fraction and the material properties are considered randomly. Thus, the reliability-based design is integrated into the deterministic design by applying a reliability constraint to the optimization problem. Furthermore, using limit analysis, a bound is applied to the plastic limit load multipliers to govern the plastic behavior of the problems. Results from a 2D benchmark problem are used to illustrate how adequate the approach that has been provided is. Also, a 2D elastoplastic numerical example is shown to illustrate the proposed method’s capability of identifying the best topology for elastoplastic models in the context of reliability-based design. The results indicate that the reliability constraints work effectively as a bound that reduces the yielding states.

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A meshless method for topology optimization of structures under multiple load cases

Cited by 19 publications

References 29 publications

Topology Optimization of Structural Drive-Train Component of an Electric Driven Vehicle for Additive Manufacturing

Topology Optimization of Structural Drive-Train Component of an Electric Driven Vehicle for Additive Manufacturing

Reliability based topology optimization of thermoelastic structures using bi-directional evolutionary structural optimization method

A Developed Probabilistic Elasto-Plastic Bi-Directional Structural Optimization Framework

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