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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2013, Vol. 34 ›› Issue (10): 2349-2356.doi: 10.7527/S1000-6893.2013.0377

• Solid Mechanics and Vehicle Conceptual Design • Previous Articles     Next Articles

Multidisciplinary Reliability Design and Optimization Based on BLISS and PMA

LIU Yunping1, ZHANG Jun2, ZHANG Bing2, SUN Jin3   

  1. 1. College of Information and Control, Nanjing University of Information Science & Technology, Nanjing 210044, China;
    2. Department of Mechanical & Electrical Engineering, Shandong Water Polytechnic, Rizhao 276826, China;
    3. CITIC Construction Co., Ltd., Beijing 100027, China
  • Received:2012-10-29 Revised:2012-12-25 Online:2013-10-25 Published:2012-12-29
  • Supported by:

    National Natural Science Foundation of China (51175019,51205238);Natural Science Foundation of Jiangsu Province (BK20130999);Natural Science Foundation of Colleges and Universities in Jiangsu Province (13KJB460012);Postdoctoral Science Foundation of China (230210235)

Abstract:

In order to solve the computational complexity caused by the consideration of uncertainties in multidisciplinary design optimization (MDO), an efficient method for reliability-based MDO (RBMDO) based on the bi-level integrated system synthesis (BLISS) and performance measure approach (PMA) is proposed. With the decoupling idea of sequential optimization and reliability assessment (SORA) method, the conventional triple nested loop of RBMDO is decoupled into a series of sequential execution of deterministic multidisciplinary design optimization (DMDO) and multidisciplinary reliability analysis (MRA). Both the DMDO and MRA are implemented by BLISS, which avoids the total computation of the whole multidisciplinary reliability analysis model iteratively in each RBMDO cycle. Finally, a shock absorber of landing gear example has been demonstrated to verify the efficiency of the proposed method, which shows that the efficiency of the proposed method has been improved by 52.01% and 26.51% respectively compared to the other two methods.

Key words: bi-level integrated system synthesis, performance measure approach, reliability-based multidisciplinary design optimization, reliability, absorber

CLC Number: