ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering: Recent submissions
Now showing items 41-60 of 634
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Latent Space-Based Likelihood Estimation Using a Single Observation for Bayesian Updating of a Nonlinear Hysteretic Model
(American Society of Civil Engineers, 2024)This study presents a novel approach to quantify uncertainties in Bayesian model updating, which is effective for sparse or single observations. Conventional uncertainty quantification methods are limited in situations ... -
Interval Fields for Geotechnical Engineering Uncertainty Analysis under Limited Data
(American Society of Civil Engineers, 2025)Spatial uncertainty is a critical challenge in many engineering fields. To date, probabilistic methods have been applied to describe the uncertainty of engineering parameters with considerable achievements. However, they ... -
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 ... -
Improved Probabilistic Seismic Demand–Intensity Relationship: Heteroscedastic Approaches
(American Society of Civil Engineers, 2025)As an integral part of assessing the seismic performance of structures, the probabilistic seismic demand–intensity relationship has been widely studied. In this study, the phenomenon of heteroscedasticity in probabilistic ... -
Advances in the Reliability Analysis of Coherent Systems under Limited Data with Confidence Boxes
(American Society of Civil Engineers, 2025)This paper proposes an uncertainty quantification framework that enables the analyst to compute statistically calibrated confidence bounds of the reliability of coherent systems, even in the case in which the data are ... -
Identification of Causes and Individuals at Risk of Falls during Vertical Formwork Operation in Construction
(American Society of Civil Engineers, 2025)The construction sector contributes to the occurrence of fatal falls and injuries. Experts believe that identifying the causes and individuals at risk of falls has the potential to prevent/minimize falls on-site. While ... -
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 ... -
Gaussian Process Regression–Based Model Error Diagnosis and Quantification Using Experimental Data of Prestressed Concrete Beams in Shear
(American Society of Civil Engineers, 2025)To facilitate considering model uncertainty for rigorous reliability/probabilistic analysis, this paper proposed a Gaussian process regression–based (GPR-based) model error quantification framework and applied to shear ... -
Advance Rate Predictions of Tunnel Boring Machines Using Bayesian-Optimized CNN-LSTM
(American Society of Civil Engineers, 2025)During the tunnelling process of a tunnel boring machine (TBM), accurately predicting the advance rate (AR) is highly desirable for enhancing construction efficiency and safety. Inaccurate AR estimates may lead to extended ... -
From Impact to Control: Inertially Amplified Friction Bearings
(American Society of Civil Engineers, 2024)The conventional friction bearings have limitations in controlling the structures’ vibration. To overcome their limitations and upgrade their seismic performances, the inertial amplifiers and inerters are applied to the ... -
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 ... -
Active Learning of Small Failure Probabilities of Highly Nonstationary Geotechnical Systems by Adaptive Bayesian Compressive Sensing and Subset Simulation
(American Society of Civil Engineers, 2025)Estimating small failure probabilities in complex geotechnical systems with highly nonstationary responses and time-consuming models is a significant challenge. The nonparametric adaptive Bayesian compressive sensing Monte ... -
Extreme Wind Speed Map for Mainland China Considering the Directional Effect
(American Society of Civil Engineers, 2025)This study proposes a framework for mapping the extreme wind speed for mainland China considering the directional effect. To this end, long-term observations of the daily maximum surface wind speed and associated wind ... -
Enhancing Reliability of Construction Contingency Estimation at the Scoping Phase through Historical Cost Data Analysis
(American Society of Civil Engineers, 2024)Accurate estimates of construction contingency, a vital element that accounts for unforeseen additional expenses during building, are crucial for construction project agencies. In the initial planning phase, with project ... -
Decomposition of the Hierarchical Variability of Concrete Random Fields and Its Influence on the Hysteretic Behavior of Structural Components
(American Society of Civil Engineers, 2025)Due to factors like heterogeneity, curing conditions, and production processes, concrete in structures exhibits hierarchical variability and spatial correlation. However, in engineering practice, when considering the ... -
Data-Driven Stochastic Fatigue Load Modeling for Fatigue Failure Simulation of Onshore Wind Turbine Foundations
(American Society of Civil Engineers, 2025)Assessing fatigue damage in onshore wind turbine foundations is crucial for ensuring the safety of the entire wind turbine system. While indirect simulations of fatigue damage based on upper structure wind loads have been ... -
Data-Driven Shear Capacity Prediction of Reinforced Concrete Deep Beams with an Uncertainty-Aware Model
(American Society of Civil Engineers, 2025)Data-driven approaches based on machine learning (ML) have become progressively popular for the shear capacity prediction of reinforced concrete (RC) deep beams because the fine-tuned ML models could mostly outperform the ... -
Critical Causal Path Analysis of Subway Construction Safety Accidents Based on Text Mining
(American Society of Civil Engineers, 2025)Due to the frequent occurrence of subway construction safety accidents in recent years, construction workers face great safety threat, which produces serious social hazards. The causes of subway construction safety accidents ... -
Bayesian Back Analysis of Spatial Variability with Machine Learning Surrogates
(American Society of Civil Engineers, 2025)Geotechnical sensors provide the advantage of directly monitoring model responses that accurately reflect field conditions. Within these field monitoring data lies the latent potential to glean insights into soil parameters. ... -
System Reliability–Based Disaster Resilience Analysis of Cable-Stayed Bridge under Tank Truck Fire Hazards
(American Society of Civil Engineers, 2025)The concept of disaster resilience has emerged to describe the holistic ability of civil infrastructure systems to withstand various hazards by preventing initial disruptions, progressive failures, and critical long-term ...