Comprehensive Simulation for End -Result Specification Development

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Civil Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Manik, Anshu

Contributors dc:contributor

• Buttlar, William G.

• Engineering, Civil

Language dc:language

eng

Identifier

(MiAaPQ)AAI3223664

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/83291