Updating future reliability of nonlinear systems with low dimensional monitoring data using short-cut simulation

This paper proposes a novel stochastic simulation method of updating future reliability of nonlinear systems with high dimensional uncertainties when the monitoring data is low dimensional. The novelty of the proposed framework is to bypass the most difficult part of the problem: drawing samples of...

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Veröffentlicht in:	Computers & structures 2009-07, Vol.87 (13), p.871-879
Hauptverfasser:	Ching, Jianye, Hsieh, Yi-Hung
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis Computational techniques Exact sciences and technology Fracture mechanics (crack, fatigue, damage...) Fundamental areas of phenomenology (including applications) Mathematical methods in physics Monitoring Physics Reliability update Solid mechanics Structural and continuum mechanics Subset simulation
Online-Zugang:	Volltext
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