A novel design of the offshore wind turbine tripod structure using topology optimization methodology

Lu, Feiyu; Long, Kai; Zhang, Chengwan; Zhang, Jinhua; Tao, Tao

doi:10.1016/j.oceaneng.2023.114607

Cited by 19 publications

(1 citation statement)

References 39 publications

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“…This refinement significantly bolstered its ability to grasp objects of diverse shapes and weights. Lu et al (2023) implemented topology optimization methods for lightweight design in the tripod structure of offshore wind turbines, yielding a remarkable enhancement in fatigue resistance while concurrently reducing the overall weight. Li et al (2022) introduced a pioneering bridge design approach based on multi-material topology optimization, culminating in the creation of a novel bridge configuration.…”

Section: Introductionmentioning

confidence: 99%

Stress-based topology optimization using BESO method with incremental structural nonlinear analysis

Zhang,

He,

Chen

et al. 2023

Preprint

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To enhance the applicability of optimization methods in civil engineering, particularly for structural members utilizing cement-based materials like concrete, this study introduces a stress-based topology optimization approach employing the Bi-directional Evolutionary Structural Optimization (BESO) method in conjunction with incremental structural nonlinear analysis. The primary objective of this method is to minimize the peak equivalent stress experienced by the structural components. It relies on the utilization of the p-norm condensation function to approximate the peak equivalent stress, alongside the establishment of sensitivity through the adjoint method. This method has demonstrated its aptness in optimizing structures containing highly nonlinear material constituents. By configuring the p-value within a specified range of 4–6 during the optimization process, consistent achievement of solutions aligned with the predefined objectives, based on element sensitivity, is feasible. This sensitivity is derived by applying a filter to the initial sensitivity calculated from the stress outcomes of the incremental structural nonlinear analysis. Subsequently, the data is meticulously filtered to procure a more robust and dependable solution that aligns more closely with the overarching optimization objective.

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Section: Introductionmentioning

confidence: 99%

Stress-based topology optimization using BESO method with incremental structural nonlinear analysis

Zhang,

He,

Chen

et al. 2023

Preprint

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Multi‐material topology optimization considering arbitrary strength and yield criteria constraints with single‐variable interpolation

Ding,

Liao,

Yuan

2024

Numerical Meth Engineering

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Material heterogeneity gives composite constructions unique mechanical and physical qualities. Combining multiple materials takes full use of these features in stress‐constrained topology optimization. Traditional research in this field often assumes a consistent yield criterion for all possible materials but adapts their stiffness and strengths accordingly. To cope with this challenge, an innovative single‐variable interpolation approach is proposed to enable the simultaneous inclusion of distinct yield criteria and material strengths. A stress‐constrained topology optimization formulation is presented based on this yield function interpolation method, which can independently support various materials with different elastic characteristics, material strengths, and yield criteria. Then, the large‐scale problem of local stress constraints can be effectively solved by the Augmented Lagrangian (AL) method. Several two‐dimensional (2D) and three‐dimensional (3D) design scenarios are investigated to reduce the overall mass of the structure while considering stress constraints. The optimal composite designs exhibit several crucial benefits resulting from material heterogeneity, including the enlargement of the design possibilities, the dispersion of stress, and the utilization of asymmetry in tension‐compression strength.

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Non-probabilistic reliability-based multi-material topology optimization with stress constraint

Cheng,

Zhao,

Zhang

2023

Int J Mech Mater Des

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A novel design of the offshore wind turbine tripod structure using topology optimization methodology

Cited by 19 publications

References 39 publications

Stress-based topology optimization using BESO method with incremental structural nonlinear analysis

Stress-based topology optimization using BESO method with incremental structural nonlinear analysis

Multi‐material topology optimization considering arbitrary strength and yield criteria constraints with single‐variable interpolation

Non-probabilistic reliability-based multi-material topology optimization with stress constraint

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