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Title:Comprehensive Simulation for End -Result Specification Development
Author(s):Manik, Anshu
Doctoral Committee Chair(s):Buttlar, William G.
Department / Program:Civil Engineering
Discipline:Civil Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Engineering, Civil
Abstract:This work details the development of a simulation tool which can be used to analyze specification risk and to develop ERS systems with user-managed risk levels. Modeling and simulation of Illinois ERS highway project data clearly demonstrated that the magnitude and relative amounts of production and measurement variability play a key role in ERS risk. A novel procedure has been presented for estimating variabilities based on sound statistical principles. A Composite Risk Index (CRI) has been proposed to provide a single parameter for quantification of payment risk. An analysis of the old and new MOT pay factor equation for Superpave asphalt ERS was conducted, which highlighted the pros and cons of the new pay factor formula. Specific examples of how IDOT's existing ERS for Superpave HMA could be modified to reduce contractor and agency testing are also presented. An attempt has been made to define a strategy for developing a surrogate simulation model using a combination of tools like neural networks, decision trees and support vector machines.
Issue Date:2006
Description:307 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.
Other Identifier(s):(MiAaPQ)AAI3223664
Date Available in IDEALS:2015-09-25
Date Deposited:2006

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