Technical Papers
Jul 18, 2019

Selection of Physical and Chemical Properties of Natural Fibers for Predicting Soil Reinforcement

Publication: Journal of Materials in Civil Engineering
Volume 31, Issue 10

Abstract

Natural fibers are environment-friendly and efficient for soil reinforcement. Many studies have reported the influences of fiber percentage on the shear strength of fiber reinforced soil. However, different natural fibers perform differently in the soil reinforcement because of their different physical and chemical properties. In this study, the physical and chemical properties of natural fibers (i.e., natural moisture content, specific gravity, breaking tensile strength, breaking strain, cellulose, hemicellulose, lignin, and ash) were examined for their influences in the soil reinforcement. Experimental data of unconfined compressive strength (UCS) for three types of natural fibers (coir, jute, and water hyacinth) were collected from the literature. A total of 11 factors including soil moisture content, soil density, and fiber percentage were evaluated by using the Bayesian nonparametric general regression (BNGR) method. The robustness of the BNGR algorithm was validated using k-fold cross-validation. A parametric study was carried out to unveil the effects of these input variables. The results indicated that a higher fiber percentage or larger soil density induces higher reinforcement effect. Besides, the cellulose in a natural fiber is found to have a significant effect on the UCS, followed by the ash, whereas the other chemical components, i.e., hemicellulose and lignin, have less association with soil reinforcement. With respect to the physical properties, the breaking strain is found to be highly correlated with the UCS, whereas the effects of fiber natural moisture content, specific gravity, and breaking tensile strength are less significant parameters.

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Acknowledgments

The authors would like to acknowledge the funding support from the Macau Science and Technology Development Fund (FDCT) (Code: 193/2017/A3), the National Natural Science Foundation of China (Grant No. 51508585), the University of Macau Research Fund (MYRG2018-00173-FST), and the NSFC-ICIMOD Joint Fund (Grant No. 41761144077).

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Journal of Materials in Civil Engineering
Volume 31Issue 10October 2019

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Received: Oct 9, 2018
Accepted: Apr 1, 2019
Published online: Jul 18, 2019
Published in print: Oct 1, 2019
Discussion open until: Dec 18, 2019

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Lin-Shuang Zhao, A.M.ASCE [email protected]
Postdoctoral Fellow, State Key Laboratory of Internet of Things for Smart City and Dept. of Civil and Environmental Engineering, Univ. of Macau, Macau SAR 999078, China. Email: [email protected]
Wan-Huan Zhou, M.ASCE [email protected]
Associate Professor, State Key Laboratory of Internet of Things for Smart City and Dept. of Civil and Environmental Engineering, Univ. of Macau, Macau SAR 999078, China; Associate Professor,Zhuhai UM Science and Technology Research Institute, Zhuhai, Guangdong 519030, China (corresponding author). Email: [email protected]
Professor, Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, Sichuan 610041, China; Professor, Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China; Professor, Univ. of Chinese Academy of Sciences, Beijing 100049, China. ORCID: https://orcid.org/0000-0001-9972-4698. Email: [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Shantou Univ., Shantou, Guangdong 515063, China. Email: [email protected]
Ka-Veng Yuen [email protected]
Distinguished Professor, State Key Laboratory of Internet of Things for Smart City and Dept. of Civil and Environmental Engineering, Univ. of Macau, Macau SAR 999078, China. Email: [email protected]

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