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Selection of Physical and Chemical Properties of Natural Fibers for Predicting Soil Reinforcement
Lin-Shuang Zhao1; Wan-Huan Zhou1,2; Li-Jun Su3,4,5; Ankit Garg6; Ka-Veng Yuen1
2019-07-18
Source PublicationJournal of Materials in Civil Engineering
ISSN0899-1561
Volume31Issue: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.

KeywordNatural Fiber Soil Reinforcement Bayesian Nonparametric General Regression Unconfined Compressive Strength
DOI10.1061/(ASCE)MT.1943-5533.0002850
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaConstruction & Building Technology ; Engineering ; Materials Science
WOS SubjectConstruction & Building Technology ; Engineering, Civil ; Materials Science, Multidisciplinary
WOS IDWOS:000481581400040
PublisherASCE-AMER SOC CIVIL ENGINEERS, 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400
Scopus ID2-s2.0-85069512565
Fulltext Access
FWCI0.8888589
Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
Faculty of Science and Technology
Corresponding AuthorWan-Huan Zhou
Affiliation1.State Key Laboratory of Internet of Things for Smart City,Dept. of Civil and Environmental Engineering,Univ. of Macau,999078,Macao
2.Zhuhai UM Science and Technology Research Institute, Zhuhai, Guangdong 519030, China
3.Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, Sichuan 610041, China
4.Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China
5.Univ. of Chinese Academy of Sciences, Beijing 100049, China
6.Dept. of Civil and Environmental Engineering, Shantou Univ., Shantou, Guangdong 515063, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Lin-Shuang Zhao,Wan-Huan Zhou,Li-Jun Su,et al. Selection of Physical and Chemical Properties of Natural Fibers for Predicting Soil Reinforcement[J]. Journal of Materials in Civil Engineering,2019,31(10).
APA Lin-Shuang Zhao,Wan-Huan Zhou,Li-Jun Su,Ankit Garg,&Ka-Veng Yuen.(2019).Selection of Physical and Chemical Properties of Natural Fibers for Predicting Soil Reinforcement.Journal of Materials in Civil Engineering,31(10).
MLA Lin-Shuang Zhao,et al."Selection of Physical and Chemical Properties of Natural Fibers for Predicting Soil Reinforcement".Journal of Materials in Civil Engineering 31.10(2019).
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