An Automatic Aerodynamic Shape Optimisation Framework Based on DAKOTA

Xia, Chen; Gou, Yongjie; Li, S H; Chen, W F; Shao, Changming

doi:10.1088/1757-899x/408/1/012021

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…As previously stated, the only requirement is that the applications involved in the loop can interact via the CLI. In references [3,[24][25][26][27][28][29][30][31][32][33], few examples using Dakota to control complex engineering design loops are discussed. However, none of them addressed the use of a fully parametric cloud-based CAD tool to generate the solid geometry or the use of the cloud to deploy the loop.…”

Section: Description Of the Workflow-methodologymentioning

confidence: 99%

Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations

Guerrero

Mantelli

Naqvi

2020

Fluids

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In this manuscript, an automated framework dedicated to design space exploration and design optimization studies is presented. The framework integrates a set of numerical simulation, computer-aided design, numerical optimization, and data analytics tools using scripting capabilities. The tools used are open-source and freeware, and can be deployed on any platform. The main feature of the proposed methodology is the use of a cloud-based parametrical computer-aided design application, which allows the user to change any parametric variable defined in the solid model. We demonstrate the capabilities and flexibility of the framework using computational fluid dynamics applications; however, the same workflow can be used with any numerical simulation tool (e.g., a structural solver or a spread-sheet) that is able to interact via a command-line interface or using scripting languages. We conduct design space exploration and design optimization studies using quantitative and qualitative metrics, and, to reduce the high computing times and computational resources intrinsic to these kinds of studies, concurrent simulations and surrogate-based optimization are used.

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Section: Description Of the Workflow-methodologymentioning

confidence: 99%

Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations

Guerrero

Mantelli

Naqvi

2020

Fluids

View full text Add to dashboard Cite

show abstract

“…As previously stated, the only requirement is that the applications involved in the loop are able to interact via the CLI. In references [3,[24][25][26][27][28][29][30][31][32][33], few examples using Dakota to control complex engineering design loops are discussed. However, none of them addressed the use of a fully parametric cloud-based CAD tool to generate the solid geometry or the use of the cloud to deploy the loop.…”

Section: Description Of the Workflow -Methodologymentioning

confidence: 99%

Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations

Guerrero¹,

Mantelli²,

Naqvi³

2020

Preprint

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In this manuscript, an automated framework dedicated to design space exploration and design optimization studies is presented. The framework integrates a set of numerical simulation, computer-aided design, numerical optimization, and data analytics tools using scripting capabilities. The tools used are open-source and freeware, and can be deployed on any platform. The main feature of the proposed methodology is the use of a cloud-based parametrical computer-aided design application, which allows the user to change any parametric variable defined in the solid model. We demonstrate the capabilities and flexibility of the framework using computational fluid dynamics applications; however, the same workflow can be used with any numerical simulation tool (e.g., a structural solver or a spread-sheet) that is able to interact via a command line interface or using scripting languages. We conduct design space exploration and design optimization studies using quantitative and qualitative metrics, and to reduce the high computing times and computational resources intrinsic to these kinds of studies, concurrent simulations and surrogate-based optimization are used.

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Multidisciplinary design analysis and optimisation frameworks for floating offshore wind turbines: State of the art

2022

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An Automatic Aerodynamic Shape Optimisation Framework Based on DAKOTA

Cited by 4 publications

References 9 publications

Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations

Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations

Cloud-Based CAD Parametrization for Design Space Exploration and Design Optimization in Numerical Simulations

Multidisciplinary design analysis and optimisation frameworks for floating offshore wind turbines: State of the art

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