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Life-Cycle Cost Minimization and Sensitivity Analysis for Mechanistic-Empirical Pavement Design
Publisher: American Society of Civil Engineers
Abstract: Rebuilding and maintaining the nation’s highway infrastructure will require very large capital outlays for many years to come. While the expenditures involved in the maintenance and construction of highway facilities are ...
Reliability-Based Optimization With Discrete and Continuous Decision and Random Variables
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Engineering design problems frequently involve both discrete and continuous random and design variables, and system reliability may depend on the union or intersection of multiple limit states. ...
Comparison of Pipeline Failure Prediction Models for Water Distribution Networks with Uncertain and Limited Data
Publisher: American Society of Civil Engineers
Abstract: This paper addresses the problem of specifying, estimating, and validating Weibull hazard rate models for water distribution networks under incomplete data. The most notable advantages of the proposed model are the ability ...
Unified Approach for Uncertainty Analysis Using the AASHTO Mechanistic-Empirical Pavement Design Guide
Publisher: American Society of Civil Engineers
Abstract: This paper addresses the problem of uncertainty management for the Mechanistic-Empirical Pavement Design Guide (MEPDG). Specifically, development of an all-inclusive approach to uncertainty management in which model ...
Permanent Deformation Predictive Equations Applicable to Mechanistic-Empirical Flexible Pavement Design
Publisher: American Society of Civil Engineers
Abstract: Flexible pavement design is increasingly utilizing mechanistic-empirical (M-E) based design methods. To date, research has resulted in the development of two primary prediction models for permanent deformation on the basis ...
Probabilistic Framework for Uncertainty Propagation With Both Probabilistic and Interval Variables
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper develops and illustrates a probabilistic approach for uncertainty representation and propagation in system analysis, when the information on the uncertain input variables and/or their ...
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