ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering: Recent submissions
Now showing items 121-140 of 760
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Adaptive Monte Carlo Methods for Estimating Rare Events in Power Grids
(American Society of Civil Engineers, 2025)This paper presents a comprehensive study on rare event estimation in power grids, focusing on state-of-the-art adaptive Monte Carlo algorithms. Building upon IEEE benchmarks, we analyze the pros and cons of each adaptive ... -
Interpolation of Sparse Measurements and Quantification of Measurement Error Using Enhanced Kriging with Sparse Representation of Covariance Function
(American Society of Civil Engineers, 2025)Spatially varying properties of geomaterials (e.g., soils and rocks) are often measured sparsely, and the measurements inevitably contain noises or error. Therefore, interpolation of sparse geotechnical measurements ... -
Performance-Based Risk Assessment for Large-Scale Transportation Networks Using the Transitional Markov Chain Monte Carlo Method
(American Society of Civil Engineers, 2025)Accurately assessing failure risk due to asset deterioration and/or extreme events is essential for efficient transportation asset management. Traditional risk assessment is conducted for individual assets by either focusing ... -
Health Evaluation of Frame Structures Based on the Gray Cloud Network Model: Proposal and Experimental Study
(American Society of Civil Engineers, 2025)The quantification of structural health has become a fundamental issue in structural hazard identification. To quantify the structural health state affected by multiple uncertainties, this paper proposes a structural health ... -
Reliability of Steel Girder Bridges Subjected to Blast Loads
(American Society of Civil Engineers, 2025)A reliability model was developed and used for the probabilistic assessment of typical steel girder bridge structural systems exposed to blast loads. Blast load scenarios and failure criteria were based on field observations ... -
Seismic Reliability Assessment Framework for Unsaturated Soil Slope under Near-Fault Pulse-Like Ground Motion
(American Society of Civil Engineers, 2025)The seismic reliability of soil slopes in geohazard-prone regions, particularly under near-fault earthquake conditions, poses a significant challenge. This challenge is exacerbated by the scarcity of pulse-like ground-motion ... -
Adaptive Weighted Cost-Sensitive Learning-Driven Improved Dense Convolutional Neural Network for Imbalanced Fault Diagnosis under Limited Fault Samples
(American Society of Civil Engineers, 2025)Offshore wind turbines play a crucial part in the transformation of wind energy into electricity, which significantly benefits the sustainable development of the economy and society. Nevertheless, offshore wind turbines ... -
Developing a Quantitative Modeling Framework for Risk Propagation Analysis: Application to Preconstruction Delays
(American Society of Civil Engineers, 2025)Research on preconstruction delays has been limited, mainly focusing on identifying delays and ranking risks using traditional methods. This study introduces a new quantitative framework to evaluate risks by modeling them ... -
Incorporation of Fault Tree Analysis and Evidential Reasoning in Navigational Risk Assessment of Offshore Wind Farms
(American Society of Civil Engineers, 2025)Quantifying the navigation risk in waters of offshore wind farms (OWFs) using traditional probabilistic methods is difficult due to various impact factors, intricate interactions, and limited accident records. To address ... -
Reliability Analysis of Vortex-Induced Random Vibration
(American Society of Civil Engineers, 2025)Under the action of incoming flow, bluff body structure may experience vortex-induced vibration (VIV). Because the resonant VIV can cause strong vibration, potentially leading to structural damage, this work specifically ... -
Key Findings on the Role of Corner Frequency in Site-Based Stochastic Ground Motion Models
(American Society of Civil Engineers, 2025)Site-based stochastic ground motion models (GMMs) are essential for representing seismic input in uncertainty quantification methods for earthquake engineering. A key element controlling the long-period spectral behavior ... -
Novel Adaptive Intelligent Control Scheme with Self-Evolving Genetic Fuzzy BELBIC for Enhancing the Seismic Resilience of Smart Building Structures
(American Society of Civil Engineers, 2025)The most crucial aspect of effective control of civil structures is control algorithms. Under severe earthquake disturbances, the modern semiactively controlled civil structures are highly nonlinear, uncertain, and complex ... -
Advanced Early Warning System for Ship–Bridge Collisions Using Multisource Data Fusion and Maneuverability Assessment
(American Society of Civil Engineers, 2025)As ship sizes continue to increase and traffic density rises, the complexity of inland navigation environments is further exacerbated by bridge construction, leading to a heightened risk of ship–bridge collisions. To address ... -
TransModel-BSDL: Bayesian Sparse Dictionary Learning for Development of Site-Specific Transformation Models Using Limited Data and a Database of Existing Models
(American Society of Civil Engineers, 2025)Determination of soil design parameters at a specific site is a long-lasting challenge in geotechnical practice, because design parameters are generally not measured directly but estimated from limited measured data using ... -
Deep Learning–Based Surrogates for Efficient Phase-Field Modeling of Stochastic Quasi-Brittle Materials
(American Society of Civil Engineers, 2025)The random microstructure of quasi-brittle materials causes significant uncertainty in their macroscopic properties. The stochastic analysis is crucial for understanding issues related to material strength, deformation, ... -
LUB: A Novel Adaptive Kriging Framework Incorporating Lower and Upper Bound Analysis for Enhanced Structural Reliability-Based Design Optimization
(American Society of Civil Engineers, 2025)Reliability-based design optimization (RBDO) is increasingly recognized for its potential to enhance the performance of structural engineering systems. Despite its potential, traditional RBDO methods are often hampered by ... -
Effects of Bracing Stiffness and Viscoelastic Damping on Enhancing Vibration Control in Buildings
(American Society of Civil Engineers, 2025)This study investigates the synergistic effects of viscoelastic damping and bracing stiffness on enhancing vibration control in tall buildings. The research transitions from a theoretical single-degree-of-freedom (SDOF) ... -
Intelligent Construction and Analysis of a Complex Network for Determining Risk-Influencing Factors in Ship Self-Sinking Accidents
(American Society of Civil Engineers, 2025)One of the most effective methods for analyzing risk-influencing factors (RIFs) in maritime accidents is the complex network approach. However, there is limited research specifically focused on RIFs in ship self-sinking ... -
Characterization of Autocovariance Parameters for Horizontal and Vertical Trends and Spatial Variabilities from a Three-Dimensional CPT Database
(American Society of Civil Engineers, 2025)This paper compiles a large cone penetration test (CPT) database, named CPT3D/3/2577, to investigate the horizontal and vertical autocovariance structures of soil spatial variation. It contains three CPT parameters (cone ... -
Prediction of the Residual Stiffness of Composite Materials under Random Vibration Loading Using a Combined Probabilistic Random Forest and Probabilistic Stiffness Model
(American Society of Civil Engineers, 2025)The residual stiffness distribution of fiber-reinforced polymer (FRP) is an essential basis for evaluating structural fatigue reliability. This paper proposes a combined random forest and probability model for evaluating ...