A strategy for reliability-based optimization

Yang, Pu; Das, P.K.; Faulkner, D.

doi:10.1016/s0141-0296(96)00088-0

Cited by 35 publications

(11 citation statements)

References 26 publications

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“…How to deal with uncertainty in engineering is one of the challenges. So far, reliability-based design has been studied in many literatures and applied in the engineering design [3][4][5][6][7][8][9][10]. Since there are many failure modes for a product, system reliability should be calculated.…”

Section: Introductionmentioning

confidence: 99%

Notice of Retraction Design worm gearing of remotely operated vehicle under uncertainty

Yang

Zhou

2013

2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)

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In remotely operated vehicle (ROV), worm gearing is usually used to transfer movement and power between two staggered axes. In the design process of worm gearing, complex gear face and the exist of uncertainty make its design and modeling so difficult will affect its reliability. In this paper, a reliability-based design (RBD) method is proposed for worm gearing of remotely operated vehicle under two types uncertainties, and the first-order reliability method (FORM) is used to calculate the reliability of worm gearing. Finally, an engineering example is used to illustrate the effectiveness of the reliability design method for worm gearing of remotely operated vehicle.

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Section: Introductionmentioning

confidence: 99%

Notice of Retraction Design worm gearing of remotely operated vehicle under uncertainty

Yang

Zhou

2013

2013 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)

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“…In order to overcome the disadvantages of deterministic optimization design, reliability-based design optimization (RBDO) is proposed. Until now, reliability-based design method has been studied in many literatures and applied in the engineering design widely [1][2][3][4][5][6][7]. In RBDO, there are many failure modes for a product and their corresponding reliability constraints should be considered.…”

Section: Introductionmentioning

confidence: 99%

Optimization design for hoop connection of unmanned undersea vehicle under uncertainty

Yang

Zhou

2011

2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering

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The basic function of hoop connection is to connect two parts of unmanned undersea vehicle (UUV) shell. The hoop connection of UUV is presently designed via the static strength method which might result in more redundancy than that being required. However, uncertainties are ubiquitous in any stage of the UUV development. A design optimization method is proposed in this paper by combining the Finite Element Method (FEM), Response Surface Methodology (RSM) and First Order Reliability Method (FORM) to facilitate the design of hoop connection under uncertainty. Meanwhile, the effectiveness of the proposed method is testified by an engineering example.

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“…The probabilistic-based design optimization methodologies can be classified in the following formulations: robust design optimization (RDO) (Anthony and Keane, 2003;Beyer and Sendhoff, 2007;Doltsinis et al, 2005;Lagaros and Papadrakakis, 2007;McAllister and Simpson, 2003;Park et al, 2006;Parkinson et al, 2007;Rangavajhala et al, 2007;Ray and Smith, 2006;Schumacher and Olschinka, 2008;Zang et al, 2005) and reliability-based design optimization (RBO) (Acar and Haftka, 2007;Agarwal and Renaud, 2004;Du et al, 2006;Frangopol and Maute, 2003;Gunawan and Papalambros, 2006;Jensen et al, 2008;Jiang et al, 2000;Lagaros et al, 2008;Liang et al, 2007;Moses, 1997;Nikolaidis, 2007;Pu et al, 1997;Rackwitz, 2004;Repalle and Grandhi, 2005;Royset et al, 2001;Sørensen and TarpJohansen, 2005;Streicher and Rackwitz, 2004;Taflanidis and Beck, 2008). RDO methods primarily seek to minimize the influence of random variations of the nominal structural dimensions, material parameters and loading on the response of the structure.…”

Section: Introductionmentioning

confidence: 99%

Neurocomputing strategies for solving reliability‐robust design optimization problems

Lagaros

Plevris²,

Papadrakakis³

2010

Engineering Computations

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Purpose -This paper, by taking randomness and uncertainty of structural systems into account aims to implement a combined reliability-based robust design optimization (RRDO) formulation. The random variables to be considered include the cross section dimensions, modulus of elasticity, yield stress, and applied loading. The RRDO problem is to be formulated as a multi-objective optimization problem where the construction cost and the standard deviation of the structural response are the objectives to be minimized. Design/methodology/approach -The solution of the optimization problem is performed with the non-dominant cascade evolutionary algorithm with the weighted Tchebycheff metric, while the probabilistic analysis required is carried out with the Monte Carlo simulation method. Despite the computational advances, the solution of a RRDO problem for real-world structures is extremely computationally demanding and for this reason neurocomputing estimations are implemented. Findings -The obtained estimates with the neural network predictions are shown to be very satisfactory in terms of accuracy for performing this type of computation. Furthermore, the present numerical results manage to achieve a reduction in computational time up to four orders of magnitude, for low probabilities of violation, compared to the conventional procedure making thus feasible the reliability-robust design optimization of realistic structures under probabilistic constraints. Originality/value -The novel parts of the present work include the implementation of neurocomputing strategies in RRDO problems for reducing the computational cost and the comparison of the results given by RRDO and robust design optimization formulations, where the significance of taking into account probabilistic constraints is emphasized.

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A strategy for reliability-based optimization

Cited by 35 publications

References 26 publications

Notice of Retraction Design worm gearing of remotely operated vehicle under uncertainty

Notice of Retraction Design worm gearing of remotely operated vehicle under uncertainty

Optimization design for hoop connection of unmanned undersea vehicle under uncertainty

Neurocomputing strategies for solving reliability‐robust design optimization problems

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