Efficient methodologies for reliability-based design optimization of composite panels

Díaz, J.; Montoya, Miguel Cid; Hernández, Santiago

doi:10.1016/j.advengsoft.2015.12.001

Cited by 44 publications

(18 citation statements)

References 55 publications

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“…López et al (2017) conducted deterministic and reliability-based design optimisations of composite stiffened panels in post-buckling regime; they conducted a decoupled RBDO which separates the reliability analysis from the deterministic optimisation. Further RBDO studies of stiffened panel have been conducted by, for instance, Qu and Haftka (2003), who conducted RBDO and computed the reliability constraints employing Monte Carlo sampling and a design response surface, and Díaz et al (2016), who performed a comparison of stochastic expansions and moment-based methods for the reliability analysis while using genetic and gradient-based techniques for deterministic optimisation.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic optimisation of mono-stringer composite stiffened panels in post-buckling regime

Farokhi

Bacarreza

Aliabadi

2020

Struct Multidisc Optim

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In this paper, a multi-objective probabilistic design optimisation approach is presented for reliability and robustness analysis of composite structures and demonstrated on a mono-omega-stringer stiffened panel. The proposed approach utilises a global surrogate model of the composite structure while accounting for uncertainties in material properties as well as geometry. Unlike the multi-level optimisation approach which freezes some parameters at each level, the proposed approach allows for all parameters to change at the same time and hence ensures global optimum solutions in the given parameter design space (for both probabilistic and deterministic optimisations) within a certain degree of accuracy. The proposed approach is used in this study to conduct extensive multi-objective probabilistic and deterministic optimisations (without considering safety factors) on a mono-stringer stiffened panel. In particular, a global surrogate model is developed utilising the computational power of a highperformance computing facility. The inputs of the surrogate model are the omega-stringer geometry and the mechanical properties of the composite material, while the outputs are the fundamental linear buckling load (LBL) and the nonlinear postbuckling strength (NPS). LBL and NPS are obtained via detailed parametric finite element models of the mono-stringer stiffened panel; in the nonlinear model, the interface between the skin and the omega-stringer is modelled via cohesive elements to allow for debonding in the post-buckled regime. Extensive multi-objective optimisations are conducted on the surrogate model using deterministic and probabilistic approaches to examine the omega-stringer geometric parameters mostly affecting the system robustness and reliability. The differences between deterministic and probabilistic designs are highlighted as well.

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Section: Introductionmentioning

confidence: 99%

Probabilistic optimisation of mono-stringer composite stiffened panels in post-buckling regime

Farokhi

Bacarreza

Aliabadi

2020

Struct Multidisc Optim

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“…To mitigate this issue, surrogate models built based on design inputs and outputs have been widely used in recent years [19]. The use of surrogate models instead of real models drastically reduces the computational cost of the design optimization methods [20]. Accordingly, the frequently used surrogate models are Kriging model, Artificial Neural Network (ANN) model and Polynomial models.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Simulation-Based Search Method for Reliability-Based Robust Design Optimization of Mechanical Components

Mayda

2017

mech

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“…This technique is nowadays one of the most widespread methods and its performance is widely demonstrated in the literature, for instance, in [21]. In the field of aerodynamics, some applications can be found, as for instance, the work of [22], which employs Kriging surrogate models for optimizing the shape of a building by means of changing the corners of the shape.…”

Section: Aerodynamic Response By Means Of Surrogate Modelingmentioning

confidence: 99%

The role of surrogate models in combined aeroelastic and structural optimization of cable-stayed bridges with single box deck

Montoya¹,

Hernández²,

Kusano³

et al. 2016

WIT Transactions on the Built Environment

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The aeroelastic phenomena represent a crucial issue in the design of long span bridges and their relevance grows as the length of the spans is increased, which is the current trend in these mega-structures. The search for the best performing deck cross-section, as well as the search of the most economic bridge design, are two of the most relevant goals for bridge designers. Hence, the pursuit of good aerodynamic performance of the bridge deck cross-section and the structural optimization of the bridge are destined to converge in a unified process to achieve more efficient bridge designs, given their interdependence. This paper presents an integrated methodology based on a surrogate-based optimization process to obtain an optimum bridge design considering structural and aeroelastic constraints. The deck cross-section used in this work is the well-known G1 section, in which two deck shape variables are considered. The aerodynamic behavior of the cross sections analyzed by the optimization algorithm is given by a surrogate model trained with a set of designs calculated with CFD techniques. The structural performance is analyzed by means of finite element analysis. The areas and prestressing forces of the stays and the deck shape and plate thickness are considered as design variables, and the optimization of the bridge is carried out by a gradient-based optimization algorithm.

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Efficient methodologies for reliability-based design optimization of composite panels

Cited by 44 publications

References 55 publications

Probabilistic optimisation of mono-stringer composite stiffened panels in post-buckling regime

Probabilistic optimisation of mono-stringer composite stiffened panels in post-buckling regime

An Efficient Simulation-Based Search Method for Reliability-Based Robust Design Optimization of Mechanical Components

The role of surrogate models in combined aeroelastic and structural optimization of cable-stayed bridges with single box deck

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