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An optimal shifting vector approach for efficient probabilistic design

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Abstract

The application of reliability-based design optimization (RBDO) is hindered by the unbearable computational cost in the structure reliability evaluating process. This study proposes an optimal shifting vector (OSV) approach to enhance the efficiency of RBDO. In OSV, the idea of using an optimal shifting vector in the decoupled method and the notation of conducting reliability analysis in the super-sphere design space are proposed. The shifted limit state function, instead of the specific performance function, is used to identify the inverse most probable point (IMPP) and derive the optimal shifting vector for accelerating the optimization process. The super-sphere design space is applied to reduce the number of constraints and design variables for the novel reliability analysis model. OSV is very efficient for highly nonlinear problems, especially when the contour lines of the performance functions vary widely. The computation capability of the proposed method is demonstrated and compared to existing RBDO methods using four mathematical and engineering examples. The comparison results show that the proposed OSV approach is very efficient.

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References

  • Agarwal H,Mozumder CK, Renaud JE,Watson LT (2007) An inverse-measure-based unilevel architecture for reliability-based design optimization. Struct Multidisc Optim 33(3):217–227

    Article  Google Scholar 

  • Aoues Y, Chateauneuf A (2010) Benchmark study of numerical methods for reliability-based design optimization. Struct Multidisc Optim 41(2):277–294

    Article  MathSciNet  Google Scholar 

  • Chen X, Hasselman TK, Neill DJ (1997) Reliability-based structural design optimization for practical applications. In: Proceedings of the 38th AIAA/ASME/ASCE/AHS/ASC structures, structural dynamics and material conference, Kissimmee, AIAA-97-1403

  • Cheng G, Xu L, Jiang L (2006) A sequential approximate programming strategy for reliability-based structural optimization. Comput Struct 84(21):1353–1367

    Article  Google Scholar 

  • Ching J, Hsu WC (2008) Transforming reliability limit-state constraints into deterministic limit-state constraints. Struct Saf 30(1):11–33

    Article  Google Scholar 

  • Cho TM, Lee BC (2011) Reliability-based design optimization using convex linearization and sequential optimization and reliability assessment method. Struct Saf 33(1):42–50

    Article  Google Scholar 

  • Choi KK, Youn BD, Yang RJ (2001) Moving least square method for reliability-based design optimization. Dalian, China

  • Du XP, Chen W (2001) A most probable point based method for efficient uncertainty analysis. J Des Manuf Autom 1(1–2):47–65

    Google Scholar 

  • Du XP, Chen W (2004) Sequential optimization and reliability assessment method for efficient probabilistic design. J Mech Des 126(2):225–233

    Article  Google Scholar 

  • Du XP, Sudjianto A, Chen W (2004) An integrated framework for optimization under uncertainty using inverse reliability strategy. J Mech Des 126(4):562–571

    Article  Google Scholar 

  • Enevoldsen I, Sørensen JD (1994) Reliability-based optimization in structural engineering. Struct Saf 15(3):169–196

    Article  Google Scholar 

  • Gasser M, Schuëller GI (1997) Reliability-based optimization of structural systems. Math Methods Oper Res 46(3):287–307

    Article  MathSciNet  MATH  Google Scholar 

  • Grandhi RV, Wang L (1998) Reliability-based structural optimization using improved two point adaptive nonlinear approximations. Finite Elem Anal Des 29(1):35–48

    Article  MATH  Google Scholar 

  • Hasofer AM, Lind NC (1974) Exact and invariant second moment code format. J Eng Mech Div 100(1):111–121

    Google Scholar 

  • Ju BH, Lee B (2008) Reliability-based design optimization using a moment method and a kriging metamodel. Eng Optim 40(5):411–438

    MathSciNet  Google Scholar 

  • Kharmanda G, Mohamed A, Lemaire M (2002) Efficient reliability-based design optimization using a hybrid space with application to finite element analysis. Struct Multidisc Optim 24(3):233–245

    Article  Google Scholar 

  • Kirjner-Neto C, Polak EA, Kiureghian D (1998) An outer approximation approach to reliability-based optimal design of structures. J Optim Theory Appl 98(1):1–16

    Article  MathSciNet  MATH  Google Scholar 

  • Lee TH, Jung JJ (2008) A sampling technique enhancing accuracy and efficiency of metamodel-based RBDO: constraint boundary sampling. Comput Struct 86(13–14):1463–1476

    Article  Google Scholar 

  • Li W, Yang L (1994) An effective optimization procedure based on structural reliability. Comput Struct 52(5):1061–1067

    Article  MATH  Google Scholar 

  • Li F, Wu T, Hu M (2010) An accurate penalty-based approach for reliability-based design optimization. Res Eng Des 21(2):87–98

    Article  MathSciNet  Google Scholar 

  • Liang J, Mourelatos ZP, Tu J (2008) A single-loop method for reliability-based design optimization. Int J Prod Dev 5(1–2):76–92

    Article  Google Scholar 

  • Liu PL, Kiureghian AD (1986) Multivariate distribution models with prescribed marginals and covariances. Probab Eng Mech 1(2):105–112

    Article  Google Scholar 

  • Mourelatos ZP (2005) Design of crankshaft main bearings under uncertainty. In: ANSA&mETA international congress. Athos Kassndra, Halkidiki, Greece

  • Nikolaidis E, Burdisso R (1988) Reliability-based optimization: a safety index approach. Comput Struct 28(6):781–788

    Article  MATH  Google Scholar 

  • Reddy MV, Grandhi RV, Hopkins DA (1994) Reliability based structural optimization: a simplified safety index approach. Comput Struct 53(6):1407–1418

    Article  MATH  Google Scholar 

  • Rosenblatt M (1952) Remarks on a multivariate transformation. Ann Math Stat 23(3):470–472

    Article  MathSciNet  MATH  Google Scholar 

  • Royset JO, Kiureghian AD, Polak E (2001) Reliability-based optimal structural design by the decoupling approach. Reliab Eng Syst Saf 73(3):213–221

    Article  Google Scholar 

  • Shan S, Wang GG (2008) Reliable design space and complete single loop reliability-based design optimization. Reliab Eng Syst Saf 93(8):1218–1230

    Article  Google Scholar 

  • Sun GY, Li GY, Stone M, Li Q (2010) A two-stage multi-fidelity optimization procedure for honeycomb-type cellular materials. Comput Mater Sci 49(3):500–511

    Article  Google Scholar 

  • Tu J, Choi KK (1999) A new study on reliability-based design optimization. J Mech Des 121(4):557–564

    Article  Google Scholar 

  • Valdebenito MA, Schu¨eller GI (2010) A survey on approaches for reliability-based optimization. Struct Multidisc Optim 42(5):645–663

    Article  Google Scholar 

  • Wu YT, Millwater HR, Cruse TA (1990) An advance probabilistic analysis method for implicit performance function. AIAA J 28(9):1663–1669

    Article  Google Scholar 

  • Wu YT, Shin Y, Sues R, Cesare M (2001) Safety-factor based approach for probabilistic-based design optimization. In: 42nd AIAA/ASME/ASCE/AHS/ASC structures, structural dynamics and materials conference and exhibit. Seattle, Washington, AIAA 2001-1522

  • Yi P, Cheng G, Jiang L (2008) A sequential approximate programming strategy for performance-measure-based probabilistic structural design optimization. Struct Saf 30(2):91–109

    Article  Google Scholar 

  • Yin X, Chen W (2006) Enhanced sequential optimization and reliability assessment method. Struct Infrastruct Eng 2(3):261–275

    Article  Google Scholar 

  • Youn BD, Choi KK (2004) A new response surface methodology for reliability-based design optimization. Comput Struct 82(2–3):241–256

    Article  Google Scholar 

  • Youn BD, Choi KK, Du L (2005a) Enriched performance measure approach for reliability-based design optimization. AIAA J 43(4):874–884

    Article  Google Scholar 

  • Youn BD, Choi KK, Du L (2005b) Adaptive probability analysis using an enhanced hybrid mean value method. Struct Multidisc Optim 29(2):134–148

    Article  Google Scholar 

  • Zhuang XT, Pan R (2012) A sequential sampling strategy to improve reliability-based design optimization with implicit constraint functions. J Mech Des 134(2):021002-1–10

    Article  Google Scholar 

  • Zou T, Mahadevan S (2006) A direct decoupling approach for efficient reliability-based design optimization. Struct Multidisc Optim 31(3):190–200

    Article  Google Scholar 

Download references

Acknowledgements

Financial support from the National Natural Science Foundation of China under Grant No. 51175199; National Natural Science Foundation of China under Grant No. 51121002; National technology major projects under Grant No. 2011ZX04002-091 and Huazhong University of Science and Technology Innovation Fund of independent under Grant No. 2011TS068 are gratefully acknowledged.

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Correspondence to Haobo Qiu.

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Chen, Z., Qiu, H., Gao, L. et al. An optimal shifting vector approach for efficient probabilistic design. Struct Multidisc Optim 47, 905–920 (2013). https://doi.org/10.1007/s00158-012-0873-6

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  • DOI: https://doi.org/10.1007/s00158-012-0873-6

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