Skip to main content
Log in

An adaptive hybrid single-loop method for reliability-based design optimization using iterative control strategy

  • RESEARCH PAPER
  • Published:
Structural and Multidisciplinary Optimization Aims and scope Submit manuscript

Abstract

Single-loop approach (SLA) is one of the most promising methods for solving linear and weakly nonlinear reliability-based design optimization (RBDO) problems. However, since SLA locates the current approximate most probable point (MPP) by using the gradient information of the previous one to reduce the computational cost, it may lead to inaccuracy when the nonlinearity of probabilistic constraints becomes relatively high. To overcome this limitation, a new adaptive hybrid single-loop method (AH-SLM) that can automatically choose to search for the approximate MPP or accurate MPP is proposed in this paper. Moreover, to get the accurate MPP more efficiently and alleviate the oscillation in the search process, an iterative control strategy (ICS) with two iterative control criteria is developed. In each iterative step, the KKT-condition of performance measure approach (PMA) is introduced to check the validity of the approximate MPP. If the approximate MPP is infeasible, ICS will be further carried out to search for the accurate MPP. The two iterative control criteria are used to update the oscillation control step length, then ICS can converge fast for both weakly and highly nonlinear performance functions. Besides, numerical examples are presented to verify the efficiency and robustness of our proposed method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

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

    Article  MATH  MathSciNet  Google Scholar 

  • Au SK, Beck JL (1999) A new adaptive importance sampling scheme for reliability calculations. Struct Saf 21(2):135–158

    Article  Google Scholar 

  • Chau MQ, Han X, Jiang C et al (2014) An efficient PMA-based reliability analysis technique using radial basis function. Eng Computation 31(6):1098–1115

    Article  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 materials conference 2724–2732.

  • Chen ZZ, Qiu HB, Gao L, Su L, Li PG (2013) An adaptive decoupling approach for reliability-based design optimization. Comput Struct 117(3):58–66

    Article  Google Scholar 

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

    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  MathSciNet  Google Scholar 

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

    Article  Google Scholar 

  • Echard B, Gayton N, Lemaire M (2011) AK-MCS: an active learning reliability method combining kriging and Monte Carlo simulation. Struct Saf 33(2):145–154

    Article  Google Scholar 

  • Ezzati G, Mammadov M, Kulkarni S (2015) A new reliability analysis method based on the conjugate gradient direction. Struct Multidiscip Optim 51(1):89–98

    Article  MathSciNet  Google Scholar 

  • Gong JX, Yi P (2011) A robust iterative algorithm for structural reliability analysis. Struct Multidiscip Optim 43(4):519–527

    Article  MATH  Google Scholar 

  • Guo X, Bai W, Zhang WS, Gao XX (2009) Confidence structural robust design and optimization under stiffness and load uncertainties. CMAME 198(41–44):3378–3399

    MATH  MathSciNet  Google Scholar 

  • Hu WF, Choi KK, Cho H (2016) Reliability-based design optimization of wind turbine blades for fatigue life under dynamic wind load uncertainty. Struct Multidiscip Optim 54(4):953–970

    Article  Google Scholar 

  • Keshtegar B (2016) Chaotic conjugate stability transformation method for structural reliability analysis. Comput Methods Appl Mech Eng 310:866–885

    Article  MathSciNet  Google Scholar 

  • Keshtegar B, Hao P (2017) A hybrid self-adjusted mean value method for reliability-based design optimization using sufficient descent condition. Appl Math Model 41:257–270

    Article  MathSciNet  Google Scholar 

  • Keshtegar B, Lee I (2016) Relaxed performance measure approach for reliability-based design optimization. Struct Multidiscip Optim 54(6):1439–1454

    Article  MathSciNet  Google Scholar 

  • Keshtegar B, Hao P, Meng Z (2017) A self-adaptive modified chaos control method for reliability-based design optimization. Struct Multidiscip Optim 55(1):63–75

    Article  MathSciNet  Google Scholar 

  • Lee J, Song CY (2011) Role of conservative moving least squares methods in reliability based design optimization: a mathematical foundation. J Mech Des 133(12):467–471

    Article  Google Scholar 

  • Lee JO, Yang YS, Ruy WS (2002) A comparative study on reliability-index and target-performance-based probabilistic structural design optimization. Comput Struct 80(3–4):257–269

    Article  Google Scholar 

  • Li HS, Gao ZH (2016) Matlab codes of subset simulation for reliability analysis and structural optimization. Struct Multidiscip Optim 54(2):391–410

    Article  MathSciNet  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  Google Scholar 

  • Li F, Wu T, Badiru A, Hu M, Soni S (2013) A single-loop deterministic method for reliability-based design optimization. Eng Optim 45(4):435–458

    Article  MathSciNet  Google Scholar 

  • Li G, Meng Z, Hu H (2015) An adaptive hybrid approach for reliability-based design optimization. Struct Multidiscip Optim 51(5):1051–1065

    Article  MathSciNet  Google Scholar 

  • Li XK, Qiu HB, Chen ZZ, Gao L, Shao XY (2016) A local Kriging approximation method using MPP for reliability-based design optimization. Comput Struct 162:102–115

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Lim J, Lee BC (2015) A semi-single-loop method using approximation of most probable point for reliability-based design optimization. Struct Multidiscip Optim 53(4):745–757

    Article  MathSciNet  Google Scholar 

  • Lopez RH, Beck AT (2012) Reliability-based design optimization strategies based on FORM: a review. J Braz Soc Mech Sci Eng 34(4):506–514

    Article  Google Scholar 

  • Meng Z, Li G, Wang BP, Hao P (2015) A hybrid chaos control approach of the performance measure functions for reliability-based design optimization. Comput Struct 146(1):32–43

    Article  Google Scholar 

  • Meng Z, Li G, Yang DX, Zhan LC (2016) A new directional stability transformation method of chaos control for first order reliability analysis. Struct Multidiscip Optim 55:601–612. doi:10.1007/s00158-016-1525-z

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

    Article  Google Scholar 

  • Torii AJ, Lopez RH, Miguel LFF (2016) A general RBDO decoupling approach for different reliability analysis methods. Struct Multidisc Optim 54(2):317–332

    Article  MathSciNet  Google Scholar 

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

    Article  Google Scholar 

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

    Article  MATH  MathSciNet  Google Scholar 

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

    Article  Google Scholar 

  • Xia BZ, Lü H, Yu DJ, Jiang C (2015) Reliability-based design optimization of structural systems under hybrid probabilistic and interval model. Comput Struct 160:126–134

    Article  Google Scholar 

  • Yang DX, Yi P (2009) Chaos control of performance measure approach for evaluation of probabilistic constraints. Struct Multidiscip Optim 38(38):83–92

    Article  Google Scholar 

  • Yi P, Zhu Z (2016) Step length adjustment iterative algorithm for inverse reliability analysis. Struct Multidiscip Optim 54(4):999–1009

    Article  MathSciNet  Google Scholar 

  • Yi P, Zhu Z, Gong JX (2016) An approximate sequential optimization and reliability assessment method for reliability-based design optimization. Struct Multidiscip Optim 54(6):1367–1378

    Article  MathSciNet  Google Scholar 

  • Youn BD (2007) Adaptive-loop method for non-deterministic design optimization. Proc Inst Mech Eng Part O J Risk Reliab 221(2):107–116

    Google Scholar 

  • Youn BD, Choi KK, Park YH (2003) Hybrid analysis method for reliability based design optimization. ASME J Mech Des 125(2):221–232

    Article  Google Scholar 

  • Youn BD, Choi KK, Yang RJ, Gu L (2004) Reliability-based design optimization for crashworthiness of vehicle side impact. Struct Multidiscip Optim 26(3):272–283

    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 Multidiscip Optim 29(2):134–148

    Article  Google Scholar 

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

    Article  Google Scholar 

Download references

Acknowledgements

Financial support from the National Natural Science Foundation of China under Grant No. 51675198; the 973 National Basic Research Program of China under Grant No. 2014CB046705; the National Natural Science Foundation of China under Grant No. 51405302 are gratefully acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Haobo Qiu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jiang, C., Qiu, H., Gao, L. et al. An adaptive hybrid single-loop method for reliability-based design optimization using iterative control strategy. Struct Multidisc Optim 56, 1271–1286 (2017). https://doi.org/10.1007/s00158-017-1719-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00158-017-1719-z

Keywords

Navigation