ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
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EISSN:2332-9025|ISSN:2332-9017|Disc: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 the full range of risk and uncertainty analysis state-of-art and state-of-practice relating to mechanical engineering, including but not limited to risk quantification based on hazard identification, scenario development and rate quantification, consequence assessment, valuations, perception, communication, risk-informed decision making, uncertainty analysis and modeling, and other related areas|Priority:4|Publisher:American Society of Civil Engineers|
Recent Submissions
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Uncertainty Propagation through a High-Pile Wharf Model Using an Ensemble Surrogate Model
(American Society of Civil Engineers, 2026)AbstractIn the field of port engineering, traditional deterministic approaches were limited in quantifying uncertainties within engineering systems due to the complex coupling effects of multisource operational environments ... -
InsurAgent: A Large Language Model–Empowered Agent for Simulating Individual Behavior in Purchasing Flood Insurance
(American Society of Civil Engineers, 2026)AbstractFlood insurance is an effective strategy for individuals to mitigate disaster-related losses. However, participation rates among at-risk populations in the United States remain strikingly low. This gap underscores ... -
Static–Dynamic Coupling Optimization Design of Battery Enclosure under Multigradient Loading Based on aHigh-Fidelity Digital Twin Model
(American Society of Civil Engineers, 2026)AbstractAlthough digital twin high-fidelity models have demonstrated accuracy and effectiveness in battery system condition monitoring, performance prediction, and other fields, they have not yet been deeply integrated ... -
Parameter Sensitivity and Uncertainty Analysis of the Distributed Xin’anjiang Model in the Xixian Basin, Upper Huaihe River, China
(American Society of Civil Engineers, 2026)AbstractHydrological models play a crucial role in water resources management, but their simulation results are affected by various uncertainties, such as aleatory and epistemic uncertainties. To enhance model accuracy and ... -
Random Material Point Method for Large-Deformation Analysis of 3D Pile-Reinforced Slopes with Spatially Variable Soils
(American Society of Civil Engineers, 2026)AbstractAntislide piles are widely utilized for disaster prevention and slope stabilization. However, previous studies have often neglected the influence of pile design on both slope destabilization and postfailure mitigation, ... -
Bayesian Model Updating for Predictive Maintenance of Concrete Sewers Experiencing Corrosion Using Distribution-Based Likelihood and an Improved Hamiltonian Monte Carlo Method
(American Society of Civil Engineers, 2026)AbstractConcrete corrosion is a significant threat to the structural integrity of safety-critical sewer systems. Empirical models of corrosion prediction have been developed, but model parameters, such as the pH factor, ... -
D3-AK: Domain-Distance-Driven Adaptive Kriging Approach for Time-Dependent Reliability Analysis
(American Society of Civil Engineers, 2026)AbstractEfficiently evaluating transient small failure probabilities for complex mechanism systems remains a significant challenge, particularly in accurately estimating failure probabilities with minimal computational ... -
Life-Cycle Resilience Measurement of Bridge Pile Foundation under Scour Hazard Based on Probabilistic Hydrological Information
(American Society of Civil Engineers, 2025)AbstractDue to the scarcity of existing research on scour resilience, it is challenging to quantify the long-term resilience of bridge pile foundations under scour conditions. In this paper, a quantitative framework to ... -
Dynamic Obstacle Avoidance Navigation for USVs Based on the Multihead Attention Mechanism and Distributional Reinforcement Learning
(American Society of Civil Engineers, 2026)AbstractAutonomous navigation of unmanned surface vehicles (USVs) is challenged by environmental uncertainty and safety risks caused by eddies and unknown obstacles. Traditional deep reinforcement learning based on expected ... -
Cluster-Based Active-Learning Scenario Reduction Framework for Probabilistic Wildfire Risk Assessment
(American Society of Civil Engineers, 2026)AbstractWildfires pose an escalating risk to communities and infrastructure, especially in regions undergoing increased fuel dryness and temperature extremes driven by climate change, as well as continued expansion into ... -
Uncovering Complex Dam Failure Consequences: A Hybrid Gray–Fuzzy Assessment Framework for Hazard-Prone Reservoirs
(American Society of Civil Engineers, 2026)AbstractAccurately assessing the consequences of dam failure is a critical yet challenging task in modern dam risk management, especially for aging dams under increasingly extreme climates. Traditional assessment methods ... -
In Situ Deformation Behavior Monitoring and Analysis of the Short Suspenders of a Full-Scale Long-Span Suspension Bridge
(American Society of Civil Engineers, 2026)AbstractAs the main load-bearing and force-transmitting component of a suspension bridge, the service state of the suspenders directly affects the safety of the whole structure. Significantly affected by multiple factors ... -
Development of a Centralized Risk Register Framework for Enhancing Risk Management in Electric Power Transmission Projects in Developing Countries: The Case of Malaysia
(American Society of Civil Engineers, 2026)AbstractElectric power transmission (EPT) construction projects are inherently complex and high-risk, exposed to technical, economic, environmental, and external uncertainties that often lead to delays, cost overruns, ... -
Dynamic Characteristics of Typhoon-Induced Structural Vibration of a Long-Span Suspension Bridge Using Recurrence Quantification Analysis
(American Society of Civil Engineers, 2026)AbstractField monitoring of long-span bridges under typhoons is essential for safety assurance and wind-resistant design; however, their nonlinear and nonstationary dynamic characteristics remain insufficiently understood. ... -
Probability Distribution Modeling of Sparse Data for Geotechnical Reliability Analysis
(American Society of Civil Engineers, 2026)AbstractGeotechnical parameters are often uncertain due to the spatial variability of geotechnical engineering materials. Additionally, it is difficult to obtain a large number of data because of the time, cost, and site ... -
Time-Dependent Reliability of Coastal Bridges under Service Loads and Climate Change–Accelerated Corrosion
(American Society of Civil Engineers, 2026)AbstractBridges are critical infrastructure that enables connectivity and facilitates efficient transportation. However, because of continuous exposure to aggressive environmental conditions, these structures experience ... -
Surrogate Model–Assisted Learning of Conditional Probability Tables of Bayesian Networks Describing Structural Systems
(American Society of Civil Engineers, 2026)AbstractBayesian network (BN) is an effective tool to describe and interpret the probability distribution of a complex phenomenon. Essential building blocks in discrete BNs are conditional probability tables (CPTs) quantifying ... -
Sparse Damage Identification for Beam-Like Structures Using Multiple-Metric Fusion and Nuclear Norm Regularization
(American Society of Civil Engineers, 2026)AbstractThe increasing complexity of modern bridge structures necessitates more accurate and robust methods for structural health monitoring, particularly during both construction and service phases. In this paper, a novel ... -
Multiple Tuned Mass Damper Design for the Mitigation of Cantilever Beam Response
(American Society of Civil Engineers, 2025)AbstractThis study introduces an advanced framework for the design and optimization of multiple tuned mass dampers (MTMDs) to mitigate dynamic responses in cantilever beams subjected to both deterministic and stochastic ... -
A Digital Twin of Life-Cycle Bearing Based on a Defect-Guided Conditional Diffusion Model for Predicting Remaining Life under Limited Degradation Data
(American Society of Civil Engineers, 2026)AbstractAccurate prediction of the remaining useful life (RUL) for rolling bearings was essential to ensure the operational reliability and safety of complex industrial equipment. However, the lack of high-quality life-cycle ...