TY - JOUR
T1 - A stratified sequencing multi-disciplinary reliability analysis method under random and interval uncertainty
AU - Wang, Ruobing
AU - Gu, Liangxian
AU - Gong, Chunlin
N1 - Publisher Copyright:
© 2016, Editorial Board of Journal of Northwestern Polytechnical University. All right reserved.
PY - 2016/2
Y1 - 2016/2
N2 - For the reliability analysis problems in multidisciplinary systems with stochastic and interval uncertainty models in coexistence, based on the sequence of variable processing framework, the original problem is decomposed into the interval reliability analysis and probabilistic reliability analysis sub-problems, and the corresponding solution procedure is established. Among them, interdisciplinary consistency constraints are introduced into the interval reliability analysis to reduce the calculation burden of multidisciplinary coupling analysis; advanced mean value method, arc search method and active set quasi Newton method are integrated into reliability analysis process to construct a set of asymptotic convergence processing strategy. Finally, we build the iterative relationship between the two sub-processes based on the idea of tolerance hierarchical structure and process random and interval uncertainty simultaneously. A numerical example and a reliability analysis application in multidisciplinary system of flight vehicle are demonstrated to verify the validity of the proposed method from different aspects. Simulation results show that the efficiency is increased and adaptability is rather strong in the mode of various initial values and design points.
AB - For the reliability analysis problems in multidisciplinary systems with stochastic and interval uncertainty models in coexistence, based on the sequence of variable processing framework, the original problem is decomposed into the interval reliability analysis and probabilistic reliability analysis sub-problems, and the corresponding solution procedure is established. Among them, interdisciplinary consistency constraints are introduced into the interval reliability analysis to reduce the calculation burden of multidisciplinary coupling analysis; advanced mean value method, arc search method and active set quasi Newton method are integrated into reliability analysis process to construct a set of asymptotic convergence processing strategy. Finally, we build the iterative relationship between the two sub-processes based on the idea of tolerance hierarchical structure and process random and interval uncertainty simultaneously. A numerical example and a reliability analysis application in multidisciplinary system of flight vehicle are demonstrated to verify the validity of the proposed method from different aspects. Simulation results show that the efficiency is increased and adaptability is rather strong in the mode of various initial values and design points.
KW - Adaptive systems
KW - AMV(Advanced Mean Value)
KW - Calculations
KW - Computational efficiency
KW - Computer simulation
KW - Hybrid uncertainty
KW - Interval extreme analysis
KW - Monte Carlo methods
KW - MRA(Multi-disciplinary Reliability Analysis)
KW - Multi-disciplinary system
KW - PMA(Performance Measurement Approach)
KW - Reliability analysis
KW - SSL(Sequential Single Loop)
KW - Stochastic models
UR - http://www.scopus.com/inward/record.url?scp=84964402216&partnerID=8YFLogxK
M3 - 文章
AN - SCOPUS:84964402216
SN - 1000-2758
VL - 34
SP - 139
EP - 146
JO - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
JF - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
IS - 1
ER -