State-dependent stochastic models: A general stochastic framework for modeling deteriorating engineering systems considering multiple deterioration processes and their interactions

作者: Gaofeng Jia , Paolo Gardoni

DOI: 10.1016/J.STRUSAFE.2018.01.001

关键词:

摘要: Abstract For performance analysis of deteriorating engineering systems, it is critical to model and incorporate the various deterioration processes associated uncertainties. This paper proposes state-dependent stochastic models (SDSMs) for modeling impact on systems. Within framework, change system state variables due different their interaction modeled explicitly. As a candidate be used in new general age dependent gradual proposed, its calibration based data also discussed. Once time-variant are modeled, proper capacity demand that take them as inputs can adopted fully capture capacity, demand, other performances. The proposed framework first demonstrated through simple example, then an example reinforced concrete (RC) bridge considering caused by both corrosion earthquake including interaction. results show importance between processes, verify advantages framework.

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