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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 ...
Now showing items 381-390 of 525
Stochastic Analysis of Network-Level Bridge Maintenance Needs Using Latin Hypercube Sampling
Publisher: ASCE
Abstract: The deterioration of bridge infrastructure along with diminishing funding resources necessitates reliable planning for future budget needs to maintain bridges at an acceptable level of performance. Although existing ...
Multilevel Decomposition Framework for Reliability Assessment of Assembled Stochastic Linear Structural Systems
Publisher: ASCE
Abstract: To reduce the computational cost of assembled stochastic linear structural dynamic systems, a three-staged reduced order model-based framework for forward uncertainty propagation was developed. First, the physical domain ...
Time-Dependent Reliability Analysis Based on Point-Evolution Kernel Density Estimation: Comprehensive Approach with Continuous and Shock Deterioration and Maintenance
Publisher: ASCE
Abstract: Civil infrastructure may degrade due to the adverse effects of continuous damage (e.g., reinforcement corrosion) and sudden shocks (e.g., earthquakes) during its service life. Many studies have been conducted in ...
Improved Component-Level Deterioration Modeling and Capacity Estimation for Seismic Fragility Assessment of Highway Bridges
Publisher: ASCE
Abstract: This paper presents a novel vector-based seismic vulnerability assessment methodology for deteriorating highway bridges by uniquely accounting for realistic deterioration of key structural components. The proposed framework ...
Reliability Evaluation Based on Multiple Response Surfaces Method Considering Construction Uncertainties of Cable Tension for a Hybrid Roof Structure
Publisher: ASCE
Abstract: For large-span hybrid roof structures, the construction uncertainties of cable tension usually have significant influences on the roof’s mechanical performance and should be considered in reliability evaluation. An effective ...
Development of an Efficient Response Surface Method for Highly Nonlinear Systems from Sparse Sampling Data Using Bayesian Compressive Sensing
Publisher: ASCE
Abstract: A main challenge for risk assessment on geotechnical systems is the computational effort required when stochastic sampling methods are used. Because the deterministic models used for geotechnical systems are often complicated ...
Model Updating of Slope Stability Analysis Using 3D Conditional Random Fields
Publisher: ASCE
Abstract: In situ soil properties exhibit spatial variability, which is often described using a three-dimensional (3D) random field. With site investigations, soil properties at some specific locations are available. The corresponding ...
Adaptive Hermite Distribution Model with Probability-Weighted Moments for Seismic Reliability Analysis of Nonlinear Structures
Publisher: ASCE
Abstract: In this paper, an adaptive Hermite distribution model with probability-weighted moments (PWMs) is proposed for evaluating the extreme-value distribution (EVD) of response, which serves as the basis of seismic reliability ...
Global Decoupling for Structural Reliability-Based Optimal Design Using Improved Differential Evolution and Chaos Control
Publisher: ASCE
Abstract: This paper presents a new method for performing reliability-based design optimization (RBDO) of structures based on sequential optimization and reliability assessment (SORA). SORA is an effective method for solving RBDO ...
Temporal Disaggregation of Performance Measures to Manage Uncertainty in Transportation Logistics and Scheduling
Publisher: ASCE
Abstract: Transportation planning for highways is informed by performance metrics with aggregated data that can obfuscate the uncertainty of performance conditions across hours, days, and weeks. Recent advances in data collection ...