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Sensitivity Analysis of Tsunami Evacuation Risk with Respect to Epistemic Uncertainty
Publisher: ASCE
Abstract: To assess tsunami evacuation risk accurately in order to guide effective evacuation planning, various uncertainties (including the aleatory and epistemic uncertainties) associated with the evacuation process need to be ...
Bayesian Updating of Bridge Condition Deterioration Models Using Complete and Incomplete Inspection Data
Publisher: ASCE
Abstract: Estimation of the time that a bridge or bridge component stays in a specific condition can guide decision-making on bridge maintenance and preservation. Statistical models of the time-in-condition rating (TICR) for bridges ...
Multifidelity Gaussian Process Model Integrating Low- and High-Fidelity Data Considering Censoring
Publisher: ASCE
Abstract: To investigate the behavior of engineering systems in the context of uncertainty propagation, sensitivity analysis, and design optimization, where large numbers of system model evaluations are needed, direct adoption of ...
Efficient Evaluation of Sobol’ Indices Utilizing Samples from an Auxiliary Probability Density Function
Publisher: American Society of Civil Engineers
Abstract: A sample-based evaluation of Sobol’ sensitivity indices is discussed in this paper relying on Kernel Density Estimation (KDE) for achieving computational efficiency. The foundation of the approach is the definition of an ...
Stochastic Modeling of Deterioration and Time-Variant Performance of Reinforced Concrete Structures under Joint Effects of Earthquakes, Corrosion, and ASR
Publisher: ASCE
Abstract: To assess the time-variant performance of RC structures, it is important to model the various deterioration processes as well as their interactions in addition to the associated uncertainties. Besides earthquakes and ...
A New Adaptive Rejection Sampling Method Using Kernel Density Approximations and Its Application to Subset Simulation
Publisher: American Society of Civil Engineers
Abstract: In stochastic analysis of engineering systems, the task of generating samples according to a target probability distribution involving some performance function of the system response often arises. This paper introduces ...