Principal component analysis-based predictive modeling and optimization of permanent deformation in asphalt pavement: elimination of correlated inputs and extrapolation in modeling

Author:

Ghasemi ParnianORCID,Aslani Mohamad,Rollins Derrick K.,Williams R. C.

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Graphics and Computer-Aided Design,Computer Science Applications,Control and Systems Engineering,Software

Reference53 articles.

1. AASHTOTP 79-13 (2013) AASHTO TP 79-13 Determining the dynamic modulus and flow number for asphalt mixtures using the Asphalt Mixtures Performance Tester. American Association of State Highway and Transportation Officials, pp 1–19

2. Apeagyei AK (2011) Rutting as a function of dynamic modulus and gradation. Amer Soc Civ Eng 23 (9):1302–1310

3. ARA Inc. ECD (2004) Guide for mechanistic–empirical design of new and rehabilitated pavement structures. Final Rep. NCHRP Project 1-37A

4. Arabali P, Sakhaeifar MS, Freeman TJ, Wilson BT, Borowiec JD (2017) Decision-making guideline for preservation of flexible pavements in general aviation airport management. Journal of Transportation Engineering. Part B: Pavements 143(2):04017,006

5. Aslani M, Asla RN, Oftadehb R, Panahic MS (2010) A novel hybrid simplex-genetic algorithm for the optimum design of truss structures. In: Proceedings of the world congress on engineering, vol. 2

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