Title :
Computational procedures in structural reliability
Author :
Schuëller, G.I. ; Bayer, V.
Author_Institution :
Inst. of Eng. Mech., Innsbruck Univ., Austria
Abstract :
The authors concentrate on the computational aspects, and hence, the assessment of various methods to calculate the failure probabilities in view of accuracy, efficiency, and the possibility of practical application. Mainly due to lack of respective available data and procedures, traditional methods of analysis and design of engineering structures generally neglect the physical, i.e., intrinsic uncertainties of the various parameters involved. It is shown how the treatment of structural systems becomes feasible by interrelating mechanical and probabilistic modeling procedures, e.g., by efficient structural analyses as well as accurate stochastic procedures such as Monte Carlo type simulations. Numerical examples are presented
Keywords :
Monte Carlo methods; failure (mechanical); reliability theory; structural engineering; structural engineering computing; uncertainty handling; Monte Carlo type simulations; engineering structures; failure probabilities; intrinsic uncertainties; probabilistic modeling procedures; structural reliability; structural systems; Analytical models; Computational modeling; Data engineering; Design engineering; Material properties; Monte Carlo methods; Reliability engineering; Safety; Stochastic systems; Uncertainty;
Conference_Titel :
Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-3850-8
DOI :
10.1109/ISUMA.1993.366715