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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2014, Vol. 35 ›› Issue (11): 3054-3063.doi: 10.7527/S1000-6893.2014.0047

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

Reliability-based Multidisciplinary Design Optimization Integrating BLISCO and iPMA

LIU Chengwu1, JIN Xiaoxiong2, LIU Yunping3, LIU Jihong4   

  1. 1. School of Mechanical & Automotive Engineering, Fujian University of Technology, Fuzhou 350108, China;
    2. School of Automotive Studies, Tongji University, Shanghai 201804, China;
    3. College of Information and Control, Nanjing University of Information Science & Technology, Nanjing 210044, China;
    4. School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China
  • Received:2014-02-19 Revised:2014-04-09 Online:2014-11-25 Published:2014-04-11
  • Supported by:

    National Natural Science Foundation of China (51175019); Fujian Province Science and Technology Program Major Project (2013H0001); Science and Technology Program Project in Fuzhou City (2012-G-108,2013-G-90); Natural Science Foundation of Jiangsu Province (BK20130999); Natural Science Foundation of Colleges and Universities in Jiangsu Province (13KJB460012)

Abstract:

To solve the inefficient problem of reliability-based multidisciplinary design optimization (RBMDO), which is caused by the nested optimization process and repeated iterations of multidisciplinary analysis and reliability analysis, a new method integrating Bi-level integrated system collaborative optimization (BLISCO) and improved performance measure approach (iPMA) is proposed. Firstly, with the sequential idea, the whole process is decoupled and the repeatedly reliability analysis of overall reliability model is avoided. Then, an efficient and suitable BLISCO strategy for dealing with the multidisciplinary design optimization (MDO) of complex engineering system is adopted, which abandons the consistency constraints of collaborative optimization as well as the complex analysis and approximate modeling problems of Bi-level integration system synthesis. Thirdly, the performance measure approach (PMA) is improved by updating angle strategy to evaluate the reliability, which can reduce a great number of multidisciplinary reliability analysis. Finally, a shock absorber design example of landing gear has been implemented to verify the efficiency of the proposed method. The results show that the efficiency of the proposed method has been improved by 30.93% and 19.97% respectively compared to the other two methods. Therefore, it is valuable in engineering design and optimization.

Key words: Bi-level integrated system collaborative optimization, performance measure approach, angle updating, multidisciplinary design optimization, reliability analysis, shock absorber

CLC Number: