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Towards an Enhanced Stochastic Simulation Model for Risk Analysis in Highway Construction

Authors: Kasthurirangan Gopalakrishnan, Anshu Manik, William G. Buttlar


Over the years, there is a growing trend towards quality-based specifications in highway construction. In many Quality Control/Quality Assurance (QC/QA) specifications, the contractor is primarily responsible for quality control of the process, whereas the highway agency is responsible for testing the acceptance of the product. A cooperative investigation was conducted in Illinois over several years to develop a prototype End-Result Specification (ERS) for asphalt pavement construction. The final characteristics of the product are stipulated in the ERS and the contractor is given considerable freedom in achieving those characteristics. The risk for the contractor or agency depends on how the acceptance limits and processes are specified. Stochastic simulation models are very useful in estimating and analyzing payment risk in ERS systems and these form an integral part of the Illinois-s prototype ERS system. This paper describes the development of an innovative methodology to estimate the variability components in in-situ density, air voids and asphalt content data from ERS projects. The information gained from this would be crucial in simulating these ERS projects for estimation and analysis of payment risks associated with asphalt pavement construction. However, these methods require at least two parties to conduct tests on all the split samples obtained according to the sampling scheme prescribed in present ERS implemented in Illinois.

Keywords: risk analysis, asphalt pavement, StochasticSimulation, QC/QA

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[1] Whatis?com.,,sid9_gci1127382, 00.html. Accessed online February 27, 2007.
[2] W.G. Buttlar and M. Harrell, "Development of End-Result and Performance-Related Specifications for Asphalt Pavement Construction in Illinois," in Proc., Transportation Conference, Crossroads, 2000, Iowa State University, Ames, IA, pp. 195-202.
[3] A. Patel, M.R. Thompson, E. Harm, and W. Sheftick, "Developing QC/QA Specifications for Hot Mix Asphalt Concrete in Illinois," In Transportation Research Record 1575, TRB, 1997, pp. 66-74.
[4] TR, Transportation Research Circular 457: Glossary of Highway Quality Assurance Terms. TRB, National Research Council, Washington, DC, April 1996.
[5] J.L. Burati and T.M. Patrick, "Development of a Quality Assurance Program for Asphalt Paving Mixtures in South Carolina," Report FHWASC-00-05, South Carolina Department of Transportation, Columbia, 2000.
[6] NCHRP Synthesis of Highway Practice 38: Statistically Oriented End- Result Specifications. TRB, National Research Council, Washington, D.C., 1976.
[7] NCHRP Synthesis of Highway Practice 65: Quality Assurance. TRB, National Research Council, Washington, D.C., 1979.
[8] NCHRP Synthesis of Highway Practice 212: Performance-Related Specifications for Highway Construction and Rehabilitation. TRB, National Research Council, Washington, DC, 1995.
[9] R.M. Weed. "Development of Air Voids Specification for Bituminous Concrete," In Transportation Research Record 1491, TRB, National Research Council, Washington, DC, 1995, pp. 33-39.
[10] J.L. Burati, "Evaluating Specification Limits," In Transportation Research Record 1946, TRB, TRB, 2006, pp. 92-98.
[11] Patel and M.R. Thompson, "Consideration and Characterization of Pavement Construction Variability," In Transportation Research Record 1632, TRB, 1998, pp. 40-50.
[12] R.P. Elliott and Y. Qiu (1996). "Analysis of Contractor Pay Adjustment Schedule Using Simulation," In Transportation Research Record 1544, TRB, 1996, pp. 109-115.
[13] R.M. Weed, "OCPLOT: PC Program to Generate Operating Characteristic Curves for Statistical Construction Specifications," In Transportation Research Record 1491, TRB, 1995, pp. 18-26.
[14] R.M. Weed, "Quality Assurance Software for Personal Computer," In Transportation Research Record 1544, TRB, 1996, pp. 18-26.
[15] J. Hausman and W.G. Buttlar, "Laboratory and Field Analysis of the TransTech Model 300 Pavement Quality IndicatorTM (PQI) for Determining Asphalt Pavement Density," in CD-ROM Proc., Annual meeting of the Transportation Research Board, Washington, DC, 2002.
[16] W.G. Buttlar and J. Hausman, "ILLISIM Program for End-Result Specification Development", In Transportation Research Record 1712, TRB, 2000, pp. 125-136.
[17] K. D. Hall and S. G. Williams, "Establishing Variability for Hot-Mix Asphalt Construction in Arkansas," In Transportation Research Record 1813, TRB, 2002, pp. 172-180.
[18] B. Efron, "Bootstrap Methods: Another Look at the Jackknife," The Annals of Statistics, Vol. 7, No. 1, pp. 1-26.
[19] B. Efron and R. Tibshirani, An Introduction to the Bootstrap. Chapman & Hall/CRC Publishing Company, 1994.
[20] V. Aurilio, W.G. Buttlar, and A. Manik, "Accounting for Bias and Between-Laboratory Differences," in Proc., 47th Canadian Technical Asphalt Association Conference, Calgary, 2002, pp. 389-404.