ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering: Recent submissions
Now showing items 481-500 of 760
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Kriging-Based Design for Robust High-Performance Control Systems
(ASCE, 12/1/2020 )High-performance control systems (HPCS) are sophisticated vibration-mitigation devices that include active, semiactive, and hybrid systems. HPCS leverage feedback mechanisms to dynamically adjust the damping force in ... -
Uncertainty and Legal Foreseeability in Flood Risk Management
(ASCE, 9/1/2020 1)The legal concept of foreseeability is an important element of proof in flood loss litigation against the US Army Corps of Engineers. Although hydrologic forecasting and engineering uncertainty address foreseeability, the ... -
Reliability of Fatigue Strength Curves for Riveted Connections Using Normal and Weibull Distribution Functions
(ASCE, 9/1/2020 1)In North America and Europe, there is a significant number of centenary metallic bridges that require maintenance and strengthening operations. These structures need to be adapted to increasing traffic intensities, and ... -
Infrastructure Project Investment Decision Timing Using a Real Options Analysis Framework with Rainbow Option
(ASCE, 9/1/2020 1)The infrastructure construction industry has always been plagued with significant uncertainty. It is therefore crucial for decision makers (DMs) to ascertain suitable investment timing, and there is still a need for a ... -
Probabilistic Models for Uncertainty Quantification of Soil Properties on Site Response Analysis
(ASCE, 9/1/2020 1)The geotechnical properties of soil deposit and the variability associated with their probable distributions have a profound impact on the seismic response of a site. In the present work, the influences of soil profile ... -
Risk and Advantages of Federated Learning for Health Care Data Collaboration
(ASCE, 9/1/2020 1)This paper explores the problem of data collaboration in health care, which is the one of the critical infrastructure sectors designated by the Department of Home Security. Limitations to data sharing in health care obstruct ... -
Quantifying Operational Disruptions as Measured by Transportation Network Reliability
(ASCE, 12/1/2020 )There is global interest by transportation planners and enterprise operators to monitor the inherent uncertainty of transportation networks. Traditional performance metrics may erroneously prioritize project initiatives ... -
Uncertainty-Based Design and Optimization Using First Order Saddle Point Approximation Method for Multidisciplinary Engineering Systems
(ASCE, 9/1/2020 1)The widely used First Order Reliability Method (FORM) is efficient for uncertainty quantification and safety assessment in Uncertainty-based Multidisciplinary Design Optimization (UBMDO). However, the Rosenblatt transformation ... -
Risk-Based Vulnerability Analysis of Deteriorating Coastal Bridges under Hurricanes Considering Deep Uncertainty of Climatic and Socioeconomic Changes
(ASCE, 9/1/2020 1)Corrosion and hurricanes pose substantial risk to coastal bridges. This risk is compounded by future climatic and socioeconomic changes due to the increasing temperature and humidity, rising sea level, changing frequency ... -
Reliability Simulation Research for Nondestructive Ultrasonic Structure Testing Based on In Situ Influential Factors
(ASCE, 9/1/2020 1)The reliability simulation of ultrasonic nondestructive testing (NDT) based on the COMSOL Multiphysics simulation software is used to research the influence factors of the angle between the sound beam axis and the crack ... -
Human Reliability Assessment of Ergonomic Interaction Design for Engineering Software Based on Entropy–FTA–Delphi
(ASCE, 9/1/2020 1)This paper introduces the assessment method for ergonomic interaction design reliability of the engineering software operation flow in the field of civil engineering. On basic structure of human reliability assessment index ... -
Reliability Analysis of Slope Stability Considering Uncertainty in Water Table Level
(ASCE, 9/1/2020 1)Geotechnical analysis and design are usually based on traditional methods and empirical relationships. However, various challenges, such as the inability to model all parameters involved and the uncertainty of model input, ... -
Practical Approach for Reliability-Based Inspection Planning of Jacket Platforms Using Bayesian Networks
(ASCE, 9/1/2020 1)This study aims to present a probabilistic framework for inspection, maintenance, and repair planning of jacket platforms based on the Bayesian probabilistic networks. To this end, considering damage and deterioration ... -
Developing Region-Specific Liquefaction Assessment Criterion for Bachu Region, China
(ASCE, 9/1/2020 1)During the 2003 Bachu earthquake in China, the liquefaction phenomenon was widely observed. However, the standard penetration test–based method suggested in the national seismic design code in China significantly underestimates ... -
The Effect of Parameter Uncertainty on Hydropower Asset Replacement Cost Models
(ASCE, 9/1/2020 1)Hydropower asset managers use whole-life cost models to better manage risk costs and asset replacement strategies for their hydroelectric powertrain and balance of plant assets. Whole-life cost models can be simplified to ... -
Improving Subsurface Asset Failure Predictions for Utility Operators: A Unique Case Study on Cable and Pipe Failures Resulting from Excavation Work
(ASCE, 6/1/2020 1)Utility operators must rely on predictive analyses regarding the availability of their subsurface assets, which highly depend on damage by increasing amounts of excavation work. However, straightforward use of standard ... -
Probabilistic Flood Loss Assessment at the Community Scale: Case Study of 2016 Flooding in Lumberton, North Carolina
(ASCE, 6/1/2020 1)Flood events are one of the most common natural disasters in the United States and can disrupt businesses; strain the financial resources of agencies that respond; and often leave households dislocated for days, months, ... -
Bayesian Learning–Based Data Analysis of Uniaxial Compressive Strength of Rock: Relevance Feature Selection and Prediction Reliability Assessment
(ASCE, 3/1/2020 1)Estimation on the uniaxial compressive strength (UCS) of rock is an important issue in geotechnical engineering. Empirical relation establishment for UCS estimation is particularly favorable since core sample measurement ... -
Crash Severity Analysis for Low-Speed Roads Using Structural Equation Modeling Considering Shoulder- and Pavement-Distress Conditions
(ASCE, 2020)Crash severity outcomes are random and are influenced by the interactions of vehicle, driver, crash, road, and environmental factors. Limited research has attempted to assess the direct and latent influence of road factors ... -
Broad Learning System for Nonparametric Modeling of Clay Parameters
(ASCE, 2020)Due to the complex and uncertain nature of geomaterial properties, establishing representative parametric models between clay parameters is a challenging task. Nonparametric machine learning offers an accessible approach ...