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ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
EISSN: 2332-9025
ISSN: 2332-9017
Priority: 4
Publisher: American Society of Civil Engineers
Description: The ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering disseminates research findings, best practices and concerns, and discussion and debate on risk and uncertainty related issues. The journal reports on More ...
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RISDelay-Dependent Robust Stability Analysis for Premium-Reserve Models in an Arbitrary Regime Switching Discrete-Time Framework
Publisher: American Society of Civil Engineers
Abstract: In the insurance industry, the actuarial team experiences significant challenges for pricing a competitive but also fair premium and keeping an accurate level of reserve, which leads inevitably to numerous adjustments over ...
Societal Risk and Resilience Analysis: Dynamic Bayesian Network Formulation of a Capability Approach
Publisher: American Society of Civil Engineers
Abstract: The operation of modern societies relies on the functionality of complex infrastructure such as those for potable water, electric power, and transportation. Difficulty in accessing life-supporting resources due to the loss ...
Probability Distribution of Maximum Load Generated by Stochastic Hazards Modeled as Shock, Pulse, and Alternating Renewal Processes
Publisher: American Society of Civil Engineers
Abstract: The distribution of the maximum load generated by stochastic and recurring hazards is of primary importance in structural reliability analysis. In the current literature, this distribution is estimated by either relying ...
Characterization of Coastal Flood Damage States for Residential Buildings
Publisher: American Society of Civil Engineers
Abstract: Risk management programs and catastrophe models use fragility and vulnerability curves extensively. For the case of coastal flood events, the independent variable for these damage functions is usually the inundation depth, ...
Resilience Assessment of Urban Communities
Publisher: American Society of Civil Engineers
Abstract: The multiple uncertainties of both natural and human-caused disasters have attracted increased attention to the topic of resilience engineering. In this paper, an indicator-based method for measuring urban community ...
Optimal Seismic Upgrade Timing in Seaports with Increasing Throughput Demand via Real Options
Publisher: American Society of Civil Engineers
Abstract: A real options (RO) formulation is proposed for decision making on the timing to upgrade the seismic performance of existing seaports with increasing throughput demand in earthquake-prone areas. The payoff for the seismic ...
Community-Resilience-Based Design of the Built Environment
Publisher: American Society of Civil Engineers
Abstract: Current design codes and standards in the United States focus on the design of individual facilities and do not account for other coupled physical and nonphysical infrastructure. This does not provide a direct mechanism ...
Effect of Intrinsic and Epistemic Uncertainties on the Multiobjective Optimal Design of a Hyperstatic Structure
Publisher: American Society of Civil Engineers
Abstract: Although variability in material properties and loading conditions is commonly accounted for in safety and reliability studies, this is not the case for model assumptions. In addition, many other uncertainties affect the ...
Assessing Resilience Model Responsiveness in the Context of Stakeholder Preferences in Decision Support Systems
Publisher: American Society of Civil Engineers
Abstract: From Presidential Policy Directive 21, professional societies’ national meetings, to major United Nations initiatives, resilience has captured the attention of powerful stakeholders. Resilience models focus on system ...
Reliability Analysis Using Adaptive Kriging Surrogates with Multimodel Inference
Publisher: American Society of Civil Engineers
Abstract: This work addresses the issue of model selection in adaptive kriging-based Monte Carlo reliability analysis. It is shown that arbitrary model selection (kriging trend and correlation) can lead to poor probability of failure ...