Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Zhenzhou Lu"'
Autor:
Zhenzhou Lu, Chunyan Ling
Publikováno v:
Engineering Optimization. 54:805-829
The compound kriging-based importance sampling (IS) strategy is proposed for the efficient estimation of failure probability of systems with multiple failure modes. The proposed method is based on ...
Publikováno v:
Engineering Optimization. 54:487-503
The moment-independent global sensitivity (MIGS) analysis can help decision makers to efficiently reduce the uncertainty of model output. This article proposes a novel single-loop simulation (NSLS)...
Publikováno v:
Engineering Optimization. 53:1613-1631
The failure probability-based global sensitivity index (FPGSI) analyses how the model inputs affect the failure probability of a model. It is useful for guiding reliability-based design optimizatio...
Publikováno v:
Communications in Statistics - Simulation and Computation. 51:6989-7004
The elementary effects method is a screening global sensitivity measure to identify the few important inputs in a model which contains many inputs. In this work, a new advanced trajectory design me...
Publikováno v:
Engineering Optimization. 53:576-593
The global fuzzy reliability sensitivity can measure the effect of input on fuzzy failure probability (FFP) through the expected difference between the unconditional FFP and the conditional one. Th...
Publikováno v:
IEEE Transactions on Reliability. 69:260-276
The global reliability sensitivity index (GRSI) can measure the effect of model input variable on the failure probability of the structure and provide guidance for the reliability-based design optimization. In this paper, to efficiently estimate the
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 234:622-635
Local reliability sensitivity and global reliability sensitivity are required in reliability-based design optimization, since they can provide rich information including variable importance ranking and gradient information. However, traditional Monte
Publikováno v:
Reliability Engineering & System Safety. 189:99-108
Borgonovo moment-independent sensitivity index (BMSI) was proposed to measure the sensitivity of model inputs according to the whole distribution of model output not only a specific moment. The main computational difficulty of the BMSI is to estimate
Publikováno v:
Reliability Engineering & System Safety. 188:23-35
For efficiently estimating the time-dependent failure probability, two new methods named as the active learning Kriging (AK) coupled with importance sampling (AK-co-IS) and AK coupled with subset simulation (AK-co-SS) are proposed. The proposed metho
Autor:
Zhenzhou Lu, Kai Cheng
Publikováno v:
Reliability Engineering & System Safety. 188:310-319
Time-variant reliability analysis aims at estimating the probability that an engineering system successfully performs intended missions over a certain period of time under various sources of uncertainty. In order to perform the time-variant reliabili