Framework for the Shape Optimization of Aerodynamic Profiles Using Genetic Algorithms

Lopez, Diego I.; Angulo, Carlos; Bustos, Igor Fernández de; García, Victoria

doi:10.1155/2013/275091

Cited by 6 publications

(3 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar application papers have also applied GA to computational fluid dynamics. 28,29 Alternative methods to GAs have also been proposed, to a lesser extent, such as sequential approximation optimization, 30 evolutionary strategies, 31,32 DE, 33 PSO, 34 harmony search, 35 and EDAs. 36 The use of local optimization methods has also been referred in the literature, being simulated annealing (SA) 37,38 one of the most common approaches, but other approaches such as VNS 39 and TS 40 have also been considered.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

SoftFEM: The Soft Finite Element Method

Peña

LaTorre

Jérusalem

2019

Numerical Meth Engineering

View full text Add to dashboard Cite

Summary While the finite element method (FEM) has now reached full maturity both in academy and industry, its use in optimization pipelines remains either computationally intensive or cumbersome. In particular, currently used optimization schemes leveraging FEM still require the choice of dedicated optimization algorithms for a specific design problem, and a “black box” approach to FEM‐based optimization remains elusive. To this end, we propose here an integrated finite element‐soft computing method, ie, the soft FEM (SoftFEM), which integrates a finite element solver within a metaheuristic search wrapper. To illustrate this general method, we focus here on solid mechanics problems. For these problems, SoftFEM is able to optimize geometry changes and mechanistic measures based on geometry constraints and material properties inputs. From the optimization perspective, the use of a fitness function based on finite element calculation imposes a series of challenges. To bypass the limitations in search capabilities of the usual optimization techniques (local search and gradient‐based methods), we propose, instead a hybrid self adaptive search technique, the multiple offspring sampling (MOS), combining two metaheuristics methods: one population‐based differential evolution method and a local search optimizer. The formulation coupling FEM to the optimization wrapper is presented in detail and its flexibility is illustrated with three representative solid mechanics problems. More particularly, we propose here the MOS as the most versatile search algorithm for SoftFEM. A new method for the identification of nonfully determined parameters is also proposed.

show abstract

Section: Related Workmentioning

confidence: 99%

“…In particular, Corriveau et al applied GA to optimize FEM, for benchmark use cases and to a real‐case scenario of fillets at the crown‐blade junctions of a hydroelectric turbine. Similar application papers have also applied GA to computational fluid dynamics …”

Section: Related Workmentioning

confidence: 99%

SoftFEM: The Soft Finite Element Method

Peña

LaTorre

Jérusalem

2019

Numerical Meth Engineering

View full text Add to dashboard Cite

show abstract

“…The damage location is formulated as a constrained optimization problem and solved using the DE algorithm based on the measured and calculated first three natural frequencies as inputs. A framework for the shape optimization of aerodynamics profiles using computational fluid dynamics and genetic algorithms proposed by López et al [ 9 ]. A DE optimization based technique is proposed to find the optimum value of a modified Bezier curve.…”

Section: Introductionmentioning

confidence: 99%

Shape Optimization of Rubber Bushing Using Differential Evolution Algorithm

Kaya

2014

The Scientific World Journal

View full text Add to dashboard Cite

The objective of this study is to design rubber bushing at desired level of stiffness characteristics in order to achieve the ride quality of the vehicle. A differential evolution algorithm based approach is developed to optimize the rubber bushing through integrating a finite element code running in batch mode to compute the objective function values for each generation. Two case studies were given to illustrate the application of proposed approach. Optimum shape parameters of 2D bushing model were determined by shape optimization using differential evolution algorithm.

show abstract

Mathematical modelling and design of isolation diaphragms for pressure gauges

Karyakin

Ustinov

2021

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

The paper discusses some questions of equilibrium, stability and shape optimization of circular membranes with arbitrary profile along the meridian. Such membranes can be used as a flexible barrier to isolate the media on one side of a diaphragm from media on the other side, whilst allowing the transmission of pressure with minimal loss. The main goal of the analysis is to propose techniques for designing such shape of corrugated membranes that satisfy the requirements of so call “slow growing linear or almost linear” behavior of the pressure-volume diagram. The applied Kirchhoff-Love theory for non-shallow shells was used as a base for deriving nonlinear as well as linearized boundary value problems of equilibrium. A genetic algorithm was used to evaluate and optimize the characteristics of corrugated membranes. The presented analysis of the membrane with the maximum linear stroke showed its efficiency and reliability. At the same time, special attention should be paid to the basic parametrization used in modelling, since the mathematically optimal solution is not always suitable from the point of view of membrane production technology.

show abstract

Framework for the Shape Optimization of Aerodynamic Profiles Using Genetic Algorithms

Cited by 6 publications

References 19 publications

SoftFEM: The Soft Finite Element Method

SoftFEM: The Soft Finite Element Method

Shape Optimization of Rubber Bushing Using Differential Evolution Algorithm

Mathematical modelling and design of isolation diaphragms for pressure gauges

Contact Info

Product

Resources

About