PROCEDURE FOR COMPUTING THE POSSIBILITY AND FUZZY PROBABILITY OF FAILURE OF STRUCTURES

被引:0
作者
郭书祥
吕震宙
机构
[1] Faculty of Mechanics
[2] Engineering Institute
[3] Air Force Engineering University
[4] Department of Aircraft Engineering
[5] Northwestern Polytechnical University Xi'an
[6] PRChina
[7] Xi'an
关键词
structural reliability; possibility; fuzzy variable; fuzzy probability;
D O I
暂无
中图分类号
O213.2 [可靠性理论];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Traditionally, the calculation of reliability of fuzzy random structures is based on the well-known formulation of probability of fuzzy events. But sometimes the results of this formulation will not indicating the real state of safety of fuzzy-random structures. Based on the possibility theory, a computational procedure for the reliability analysis of fuzzy failure problems and random-fuzzy failure problems of mechanical structures that contain fuzzy variables were presented. A procedure for the analysis of structural reliability of problems of fuzzy failure criterion was also proposed. The failure possibility of fuzzy structures and possibility distribution of the probability of failure of fuzzy-random structures can be given by the proposed methods. It is shown that for the hybrid probabilistic and fuzzy reliability problems, the probability of failure should be suitably taken as a fuzzy variable in order to indicate the real safety of system objectively. Two examples illustrate the validity and rationality of the proposed methods.
引用
收藏
页码:338 / 343
页数:6
相关论文
共 50 条
[41]   Obtaining a Probability Distribution From a Unimodal Possibility Distribution [J].
Ferrero, Alessandro ;
Jetti, Harsha Vardhana ;
Ronaghi, Sina ;
Salicone, Simona .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2025, 74
[42]   Quantum Probability Calculus as Fuzzy-Kolmogorovian Probability Calculus [J].
Pykacz, Jaroslaw .
FOUNDATIONS OF PROBABILITY AND PHYSICS - 5, 2009, 1101 :161-166
[43]   An efficient algorithm for estimating profust failure probability function under the assumption of probable input and fuzzy state [J].
Wu, Xiaomin ;
Lu, Zhenzhou ;
Chen, Yizhou ;
Feng, Kaixuan .
FUZZY SETS AND SYSTEMS, 2025, 504
[44]   Fuzzy Linear Programming with Possibility and Necessity Relation [J].
Li, Hongxia ;
Gong, Zengtai .
FUZZY INFORMATION AND ENGINEERING 2010, VOL 1, 2010, 78 :305-+
[45]   FUZZY PROBABILITY WITH TRIANGULAR NORM SYSTEM [J].
Karpisek, Zdenek .
APLIMAT 2007 - 6TH INTERNATIONAL CONFERENCE, PT II, 2007, :403-416
[46]   Safety assessment of structures in view of fuzzy randomness [J].
Möller, B ;
Graf, W ;
Beer, M .
COMPUTERS & STRUCTURES, 2003, 81 (15) :1567-1582
[47]   ON AN EXTENSION OF THE DUBINS CONDITIONAL PROBABILITY AXIOMATIC TO COHERENT PROBABILITY OF FUZZY EVENTS [J].
Maturo, Fabrizio .
ITALIAN JOURNAL OF PURE AND APPLIED MATHEMATICS, 2018, 2018 (39) :810-821
[48]   A method to obtain a probability distribution from a unimodal possibility distribution [J].
Ferrero, Alessandro ;
Jetti, Harsha Vardana ;
Ronaghi, Sina ;
Salicone, Simona .
2024 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, I2MTC 2024, 2024,
[49]   Evaluation and ranking of fuzzy sets under equivalence fuzzy relations as α-certainty and β-possibility [J].
Alavi, Seyed Majid ;
Khazravi, Narges .
EXPERT SYSTEMS WITH APPLICATIONS, 2024, 248
[50]   DOUBT AND POSSIBILITY ON THE SYMBOLIC STRUCTURES OF PHILOSOPHICAL THOUGHT [J].
Braga, Joaquim .
PHAINOMENA, 2020, 29 (114) :155-174