Prediction of Marshall Mix Design Parameters in Flexible Pavements Using Genetic Programming
- PDF / 1,689,280 Bytes
- 15 Pages / 595.276 x 790.866 pts Page_size
- 103 Downloads / 180 Views
RESEARCH ARTICLE-CIVIL ENGINEERING
Prediction of Marshall Mix Design Parameters in Flexible Pavements Using Genetic Programming Alireza Azarhoosh1 · Salman Pouresmaeil1 Received: 6 March 2020 / Accepted: 4 July 2020 © King Fahd University of Petroleum & Minerals 2020
Abstract The mix design of asphalt concrete is usually accomplished in the Iranian ministry of road and transportation according to the Marshall method. Marshall mix design parameters are a function of grading and properties of aggregates, amount and type of bitumen in asphalt mixtures. Therefore, in order to determine these parameters and the optimum bitumen content, many samples with different compounds and conditions must be manufactured and tested in the laboratory, a process that requires considerable time and cost. Accordingly, the necessity of using new and advanced methods for the design and quality control of asphalt mixtures is becoming more and more evident. Therefore, in this study, a genetic programming simulation method was employed to predict the Marshall mix design parameters of asphalt mixtures. Also, multiple linear regression models were adopted as the base model to evaluate the models presented by the genetic programming method. The models proposed here predict the Marshall mix design parameters based on parameters such as the index of aggregate particle shape and texture, the amount and viscosity of the bitumen. The results demonstrated that the proposed methods are more efficient than the costly laboratory method, and genetic programming models with minimal error (identified in this study with RMSE and MAE parameters) and correlation coefficients > 0.9 can predict relatively accurate Marshall mix design parameters. Keywords Hot-mix asphalt · Marshall mix design · Index of aggregate particle shape and texture (particle index) · Viscosity of bitumen · Genetic programming method
1 Introduction The overall purpose of the asphalt concrete design is to select the most suitable and cost-effective mixture of aggregate and bitumen, so as to guarantee the following characteristics of the asphalt mixes [1]: (1) having enough bitumen to ensure durability, (2) sufficient resistance to withstand the traffic load without deformation, (3) adequate air voids to prevent bleeding and loss of resistance as a result of increased ambient temperatures and traffic congestion, and simultaneously prevent the penetration of water and air into the pavement, (4) a properly selected percentage of voids in mineral aggregate (VMA) to allow the aggregate to be adequately coated, (5) sufficient workability for equal and monotonous mixing * Alireza Azarhoosh [email protected]; [email protected] Salman Pouresmaeil [email protected] 1
Department of Civil Engineering, Faculty of Engineering, University of Bojnord, Bojnord, North Khorasan, Iran
and compaction, and (6) the texture of the asphalt surface and the stiffness of its aggregates providing sufficient friction under undesirable atmospheric conditions. Various methods have so far been propose
Data Loading...
