ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering: Recent submissions
Now showing items 501-520 of 760
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Optimal Regulation of the Construction of Reliable Sea Defenses
(ASCE, 2020)This article studies incentives to share risk as a risk management tool to address issues of interdependency among risk assessment, risk perception, and risk management in large civil engineering projects. The decision ... -
Fuzzy Reliability Analysis Using Genetic Optimization Algorithm Combined with Adaptive Descent Chaos Control
(ASCE, 2020)The robust result of analytical fuzzy reliability analysis (FRA) represents the main effort at evaluating the fuzzy reliability index. In this study, a bioloop-based hybrid method is proposed for structural FRA. The genetic ... -
Probabilistic Hurricane Wind-Induced Loss Model for Risk Assessment on a Regional Scale
(ASCE, 2020)Hurricane hazard is one of the major causes of the loss of life and property. It has recently led to enormous economic losses and social disruption, specifically in coastal regions. Monetary loss and damage to the built ... -
Probabilistic Resilience Measurement for Rural Electric Distribution System Affected by Hurricane Events
(ASCE, 2020)This paper proposes a fully probabilistic and analytical measurement framework for assessing the resilience of linear power-distribution systems affected by hurricane wind. The topology of rural power-distribution systems ... -
Bayesian Supervised Learning of Site-Specific Geotechnical Spatial Variability from Sparse Measurements
(ASCE, 2020)Although the properties of geomaterials vary spatially, geotechnical site investigations often take sparse measurements from a limited number of locations. To estimate geotechnical properties at unsampled locations, ... -
Data Collaboration Analysis Framework Using Centralization of Individual Intermediate Representations for Distributed Data Sets
(ASCE, 2020)This paper proposes a data collaboration analysis framework for distributed data sets. The proposed framework involves centralized machine learning while the original data sets and models remain distributed over a number ... -
Resilience-Based Strategies for Topology Enhancement and Recovery of Metrorail Transit Networks
(ASCE, 2020)Metro networks are complex systems that provide efficient and reliable transportation services for communities and play prominent roles in sustaining local economies, yet investments and safety enhancements to the networks ... -
Reliability-Based Assessment and Cost Analysis of Power Distribution Systems at Risk of Tornado Hazard
(ASCE, 2020)Power distribution systems are susceptible to significant damage when hit by a tornado. This damage can cause huge economic losses resulting from the cost of repairing failed distribution lines, the loss of electricity ... -
Spectral Anomaly Detection in Large Graphs Using a Complex Moment-Based Eigenvalue Solver
(ASCE, 2020)Detecting anomalies is an important and challenging task for many applications. In recent years, spectral methods have been proposed to detect anomalous subgraphs embedded into a background graph using eigenvectors ... -
A Data-Driven Physics-Informed Method for Prognosis of Infrastructure Systems: Theory and Application to Crack Prediction
(ASCE, 2020)Infrastructure systems are the backbones of the socioeconomic development of a community. However, after installation, these engineered systems undergo deterioration, leading to a degradation in their condition while in ... -
Managing Traffic Forecast Uncertainty
(ASCE, 2020)Traffic volume forecasts are fundamental to policymaking; yet, the impacts of forecast errors are rarely considered. Accordingly, traffic forecasts in 39 studies were compared to observed volumes after the forecast year ... -
Sampling-Based Reliability Sensitivity Analysis Using Direct Differentiation
(ASCE, 2020)This paper presents the derivation, verification, and application of sampling-based reliability sensitivities. The direct differentiation method is employed to develop the analytical derivatives of the failure probability, ... -
Implications of Importance Factor on Seismic Design from 2000 SAC-FEMA Perspective
(ASCE, 2020)The seismic design of buildings uses global ductility factor and occupancy importance factor (IF) as two major fixed parameters in defining the safety of the structure. The study of performance variation of the structure ... -
Bayesian Updating of Model Parameters by Iterative Particle Filter with Importance Sampling
(ASCE, 2020)Data assimilation with a particle filter (PF) has attracted attention for use in Bayesian updating. However, PFs have a problem known as degeneracy, where weights tend to concentrate into only a few particles after a few ... -
Measuring Similarity between Site-Specific Data and Records from Other Sites
(ASCE, 2020)This paper proposes a Bayesian method of measuring the similarity between a set of site-specific data and individual records in a generic geotechnical database. All data are assumed to be multivariate, uncertain, unique, ... -
Integration of Resilience and FRAM for Safety Management
(ASCE, 2020)Resilience is a concept that can be used to bring additional understanding to safety management, to complement traditional approaches. The additional understanding will enable more-informed safety management decisions to ... -
Interdependencies in Seismic Risk Assessment of Seaport Systems: Case Study at Largest Commercial Port in Italy
(ASCE, 2020)Seaports play an essential role in the policies of sustainable mobility as critical links allowing the transfer of goods and passengers, thereby helping to increase the functionality and efficiency of the general system ... -
Optimization of Site-Exploration Programs for Slope-Reliability Assessment
(ASCE, 2020)Site investigation through boreholes, such as vane shear tests or cone penetration tests, provides an effective means to assess the performance of geotechnical sites. Boreholes should be located such that they provide a ... -
Structural Network Measures for Risk Assessment of Construction Projects
(ASCE, 2020)Risk assessment is an integral part of project management; however, its implementation is often challenging. One of the key challenges is how to collect reliable data for modeling risks. The objective of this paper is to ... -
Reliability Assessment of Steel Lattice Tower Subjected to Random Wind Load by the Stochastic Finite-Element Method
(ASCE, 2020)This work concerns the stochastic finite-element method (SFEM) reliability analysis of a skeletal, very slender steel telecommunication tower calibrated with a full-scale pushover experiment carried out for the same tower. ...