Vol.8, No.11, 2020, pp.1391-1409, doi:10.32604/jrm.2020.012695
OPEN ACCESS
ARTICLE
Optimization of Roots and Copper Slag to Reinforce Soft Soil Using Response Surface Method
  • Dingbang Zhang1, Yi Zhang2,*, Zhiguo Cao3, Tao Cheng1
1 School of Civil Engineering, Hubei Polytechnic University, Huangshi, 435003, China
2 School of Civil Engineering, Tsinghua University, Beijing, 100091, China
3 College of Civil Engineering, Chongqing Jiaotong University, Chongqing, 404100, China
* Corresponding Author: Yi Zhang. Email: zhang-yi@tsinghua.edu.cn
Received 09 July 2020; Accepted 13 August 2020; Issue published 28 September 2020
Abstract
In this paper, roots and copper slag were used to overcome the weak- ness and reinforce the mechanical property of soft soil. The experiments were designed by the Response Surface Method (RSM), the content optimizing of the root permeated copper slag mixed soil for achieving appropriate values of shear strength and the final results evaluating were also conducted by RSM. Four independent variables including moisture content (12–21% by dry weight of the mixture), slag content (10–20% by dry weight of the mixture), roots content (0–1.1% by dry weight of the mixture), and aspect ratio of roots L/d (5–40) were studied and a generalized response model was built to predict the experimental results. The optimum contents of the four independent variables were suggested as 15.41% (moisture), 16.30% (copper slag), and 0.82% (roots) with an aspect ratio of 28.14, respectively. It can be concluded from the verification experiments that the predicted values of the soil mechanical property are almost equal to the experimental values, which validate the response model. Moreover, a typical subgrade model was built for proving the practical advantages of using the above-mentioned mixture as subgrade fill.
Keywords
Response surface; shear strength; roots; copper slag
Cite This Article
Zhang, D., Zhang, Y., Cao, Z., Cheng, T. (2020). Optimization of Roots and Copper Slag to Reinforce Soft Soil Using Response Surface Method. Journal of Renewable Materials, 8(11), 1391–1409.
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