The Development of Mathematical Prediction Model to Predict Resilient Modulus for Natural Soil Stabilized by Pofa-Opc Additive for the Use in Unpaved Road Design

Soft Soil Engineering International Conference 2015

Gamil, Y.M.R.^1,2 ; Bakar, I.H.^1,2

Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia, Batu Pahat Johor

86400, Malaysia^1

Research Center for Soft Soil, Universiti Tun Hussein Onn Malaysia, Batu Pahat Johor

86400, Malaysia^2

关键词: Mathematical prediction models;    Mix proportions;    Optimization models;    Ordinary Portland cement;    Resilient modulus;    Road structures;    Soil stabilization;    Unpaved roads;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/136/1/012007/pdf
DOI  :  10.1088/1757-899X/136/1/012007

来源: IOP

【 摘 要 】

Resilient Modulus (Mr) is considered one of the most important parameters in the design of road structure. This paper describes the development of the mathematical model to predict resilient modulus of organic soil stabilized by the mix of Palm Oil Fuel Ash - Ordinary Portland Cement (POFA-OPC) soil stabilization additives. It aims to optimize the use of the use of POFA in soil stabilization. The optimization models enable to eliminate the arbitrary selection and its associated disadvantages in determination of the optimum additive proportion. The model was developed based on Scheffe regression theory. The mix proportions of the samples in the experiment were adopted from similar studies reported in the literature Twenty five samples were designed, prepared and then characterized for each mix proportion based on the MR in 28 days curing. The results are used to develop the mathematical prediction model. The model was statistically analyzed and verified for its adequacy and validity using F-test.