Reliability-based design optimization for crashworthiness of vehicle side impact

Youn, Byeng D.; Choi, Kyung K.; Yang, Ren‐Jye; Gu, Liangxian

doi:10.1007/s00158-003-0345-0

Cited by 313 publications

(113 citation statements)

References 14 publications

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“…The basic idea of the RBDO is implementing numerical optimization algorithms to achieve a reliable optimal design while considering the associated uncertainty [11,21]. Active constraints for the deterministic solution may lead to a system failure when an optimization is carried out with uncertainty.…”

Section: Reliability Based Design Optimization (Rbdo)mentioning

confidence: 99%

Aircraft derivative design optimization considering global sensitivity and uncertainty of analysis models

Park¹,

Chung²,

Lee³

2016

International Journal of Aeronautical and Space Sciences

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Aircraft manufacturing companies have to consider multiple derivatives to satisfy various market requirements. They modify or extend an existing aircraft to meet new market demands while keeping the development time and cost to a minimum. Many researchers have studied the derivative design process, but these research efforts consider baseline and derivative designs together, while using the whole set of design variables. Therefore, an efficient process that can reduce cost and time for aircraft derivative design is needed. In this research, a more efficient design process is proposed which obtains global changes from local changes in aircraft design in order to develop aircraft derivatives efficiently. Sensitivity analysis was introduced to remove unnecessary design variables that have a low impact on the objective function. This prevented wasting computational effort and time on low priority variables for design requirements and objectives. Additionally, uncertainty from the fidelity of analysis tools was considered in design optimization to increase the probability of optimization results. The Reliability Based Design Optimization (RBDO) and Possibility Based Design Optimization (PBDO) methods were proposed to handle the uncertainty in aircraft conceptual design optimization. In this paper, Collaborative Optimization (CO) based framework with RBDO and PBDO was implemented to consider uncertainty. The proposed method was applied for civil jet aircraft derivative design that increases cruise range and the number of passengers. The proposed process provided deterministic design optimization, RBDO, and PBDO results for given requirements.

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Section: Reliability Based Design Optimization (Rbdo)mentioning

confidence: 99%

Aircraft derivative design optimization considering global sensitivity and uncertainty of analysis models

Park¹,

Chung²,

Lee³

2016

International Journal of Aeronautical and Space Sciences

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“…The fusion of the probabilistic finite element method(PFEM) and reliability analysis for probabilistic fracture mechanics (PFM)was presented by GESTERFIELD. And at the same time FARAVELLI introduced and discussed a stochastic finite element method [17]. It can be used for the analysis of structural and mechanical systems whose geometrical and material properties have spatial random variability.…”

Section: Introductionmentioning

confidence: 99%

Reliability Sensitivity Analysis of Vehicle Components and Architecture Optimization

Liu¹,

Tao²,

Jia³

2017

IJMMM

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Abstract-In the reliability designing procedure of the vehicle components, when the distribution styles of the random variables are unknown or non-normal distribution, the result evaluated contains great error or even is wrong if the reliability value R is larger than 1 by using the existent method, in which case the formula is necessary to be revised. This is obviously inconvenient for programming. Combined reliability-based optimization theory, robust designing method and reliability based sensitivity analysis, numerical method for reliability sensitivity design were presented based on fourth moment technique, and the reliability sensitivity of the capstan and drive shaft in track-laying vehicle with non-normal random parameters were extensively discussed. The variation regularities of reliability sensitivity were obtained and the effects of design parameters on reliability of the capstan and drive shaft in track-laying vehicle were studied. The method presented in this paper provides the theoretic basis for the reliability design of tracked vehicle components, utilizing the reliability-based optimization and robust design method in the reliability designing procedure reduces the manufacture cost and provides the theoretical basis for the reliability and robust design of the vehicle components, the method can be very useful if it extended to correlated area of machine sensitivity design.Index Terms-Capstan, drive shaft, reliability sensitivity design, arbitrary distribution parameters, fourth-moment technique.

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“…This discipline requires high computational effort since it combines DO and RA and has been applied to several multidisciplinary areas as automotive (Sinha (2007), Youn et al (2004) or Cid Montoya et al (2015)), naval (Leheta and Mansour (1997)) or civil engineering (Karadeniz et al (2009) or Kusano et al (2015)). Talking about RBDO applied to aeronautical stiffened panels, Hernandez et al (2013) draws a comparison of three RBDO methods in a metallic panel under buckling constraints, Qu and Haftka (2003) performs RBDO using Monte Carlo Simulations (MCS) and a Design Response Surface (DRS) in order to compute the reliability constraints while Díaz et al (2016) compares stochastic expansions with moment-based methods in the RA and genetic with gradient-based algorithms in the DO phase.…”

Section: Introductionmentioning

confidence: 99%

Reliability-based design optimization of composite stiffened panels in post-buckling regime

López

Bacarreza

Baldomir

et al. 2016

Struct Multidisc Optim

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This paper focuses on Deterministic and Reliability Based Design Optimization (DO and RBDO) of composite stiffened panels considering post-buckling regime and progressive failure analysis. The ultimate load that a post-buckled panel can hold is to be maximised by changing the stacking sequence of both skin and stringers composite layups. The RBDO problem looks for a design that collapses beyond the shortening of failure obtained in the DO phase with a target reliability while considering uncertainty in the elastic properties of the composite material. The RBDO algorithm proposed is decoupled and hence separates the Reliability Analysis (RA) from the deterministic optimization. The main code to drive both the DO and RBDO approaches is written in MATLAB and employs Genetic Algorithms (GA) to solve the DO loops because discrete design variables and highly nonlinear response functions are expected. The code is linked with Abaqus to perform parallel explicit nonlinear finite element analyses in order to obtain the structural responses at each generation. The RA is solved through an inverse Most Probable failure Point (MPP) search algorithm that benefits from a Poly-

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Reliability-based design optimization for crashworthiness of vehicle side impact

Cited by 313 publications

References 14 publications

Aircraft derivative design optimization considering global sensitivity and uncertainty of analysis models

Aircraft derivative design optimization considering global sensitivity and uncertainty of analysis models

Reliability Sensitivity Analysis of Vehicle Components and Architecture Optimization

Reliability-based design optimization of composite stiffened panels in post-buckling regime

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