
As an Amazon Associate and affiliate partner, Menrva Books earns from qualifying purchases. Learn more
State Transportation Agencies (STAs) use quality control/quality assurance (QC/QA) specifications to guide the testing and inspection of road pavement construction. Although failed materials of pavement rarely occur in practice, it is critical to have a sound decision framework to assist in making data-driven, informed decisions regarding failed materials because such decisions have profound impacts on the long-term performance of the pavement and the operation and maintenance costs of the responsible highway agencies.A performance-related specification (PRS) is a quality acceptance (QA) specification that specifies the acceptable levels of key acceptance quality characteristics (AQCs) that are directly related to fundamental engineering properties, which in turn, determine the long-term performance of the constructed end products. Two PRS tools, PaveSpec for Portland Cement Concrete Pavement (PCCP) and Quality Related Specification Software (QRSS) for QC/QA Hot Mixed Asphalt (HMA) pavement with dense grade mixes, were investigated in this study to develop decision frameworks for PCCP and HMA pavement to assist the decision-making regarding failed materials at INDOT. A large number of simulations of various scenarios in the context of INDOT pavement construction were conducted to fully develop and implement the decision framework.
This study develops decision frameworks to assist State Transportation Agencies (STAs) in making informed, data-driven decisions regarding failed pavement materials. The research focuses on performance-related specifications (PRS) which link acceptance quality characteristics to fundamental engineering properties that determine long-term pavement performance and maintenance costs. Two PRS tools, PaveSpec for Portland Cement Concrete Pavement (PCCP) and Quality Related Specification Software (QRSS) for Hot Mixed Asphalt (HMA) pavement, were investigated to create these frameworks for INDOT. Extensive simulations were conducted to implement and validate these decision-making tools.
The research presents a critical framework for managing failed pavement materials, a rare but impactful occurrence in construction. By focusing on performance-related specifications and utilizing simulation tools like PaveSpec and QRSS, the study aims to provide data-driven decision support for agencies like INDOT. The work addresses the direct link between material quality, long-term pavement performance, and operational costs. This technical approach is likely to be of interest to civil engineers, materials scientists, and transportation agency professionals involved in pavement design and quality assurance.
Page Count:
0
Publication Date:
2016-10-31
Publisher:
Purdue University Press
ISBN-10:
162260394X
ISBN-13:
9781622603947
No comments yet. Be the first to share your thoughts!