A special issue of International Journal of Reliability and Safety
Uncertainties are present and inevitable in many engineering decision making problems. Strategies to reduce them or to account for their effects have become increasingly important. Recent years have seen advances in the use of probabilistic concepts and analysis methods in engineering reliability assessment, system identification and health monitoring. The general trend has been towards applications for complex engineering problems that are characterised by a large number of uncertain/design variables, advanced stochastic model description, nonlinear system behavior, multiple-failure criteria, etc. This special issue aims at bringing together recent research findings in the application of probabilistic methods in reliability analysis, system identification and health monitoring.
The topics of interest include, but are not limited to:
- stochastic mechanics and random vibrations
- reliability analysis and decision making
- reliability-based design and optimization
- Monte Carlo methods and their applications in engineering systems
- system identification and health monitoring, addressing the effects of uncertainties
Manuscript submission: 28 February, 2008
Notification of acceptance: 30 April, 2008
Submission of final manuscript: 30 June, 2008
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