中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Selection of Physical and Chemical Properties of Natural Fibers for Predicting Soil Reinforcement

文献类型:期刊论文

作者Zhao, Lin-Shuang1,2; Zhou, Wan-Huan1,2,3; Su, Li-Jun4,5,6; Garg, Ankit7; Yuen, Ka-Veng1,2
刊名JOURNAL OF MATERIALS IN CIVIL ENGINEERING
出版日期2019-10-01
卷号31期号:10页码:13
ISSN号0899-1561
关键词Natural fiber Soil reinforcement Bayesian nonparametric general regression Unconfined compressive strength
DOI10.1061/(ASCE)MT.1943-5533.0002850
通讯作者Zhou, Wan-Huan(hannahzhou@um.edu.mo)
英文摘要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.
WOS关键词UNCONFINED COMPRESSIVE STRENGTH ; REGRESSION NEURAL-NETWORKS ; SHEAR-STRENGTH ; MECHANICAL CHARACTERISTICS ; PROBABILISTIC ANALYSIS ; POLYPROPYLENE FIBER ; PULLOUT BEHAVIOR ; FLY-ASH ; CLAY ; TENSILE
资助项目Macau Science and Technology Development Fund (FDCT)[193/2017/A3] ; National Natural Science Foundation of China[51508585] ; University of Macau Research Fund[MYRG2018-00173-FST] ; NSFC-ICIMOD Joint Fund[41761144077]
WOS研究方向Construction & Building Technology ; Engineering ; Materials Science
语种英语
出版者ASCE-AMER SOC CIVIL ENGINEERS
WOS记录号WOS:000481581400040
资助机构Macau Science and Technology Development Fund (FDCT) ; National Natural Science Foundation of China ; University of Macau Research Fund ; NSFC-ICIMOD Joint Fund
源URL[http://ir.imde.ac.cn/handle/131551/26955]  
专题成都山地灾害与环境研究所_山地灾害与地表过程重点实验室
通讯作者Zhou, Wan-Huan
作者单位1.Univ Macau, State Key Lab Internet Things Smart City, Macau 999078, Peoples R China
2.Univ Macau, Dept Civil & Environm Engn, Macau 999078, Peoples R China
3.Zhuhai UM Sci & Technol Res Inst, Zhuhai 519030, Guangdong, Peoples R China
4.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Sichuan, Peoples R China
5.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China
6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
7.Shantou Univ, Dept Civil & Environm Engn, Shantou 515063, Guangdong, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Lin-Shuang,Zhou, Wan-Huan,Su, Li-Jun,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):13.
APA Zhao, Lin-Shuang,Zhou, Wan-Huan,Su, Li-Jun,Garg, Ankit,&Yuen, Ka-Veng.(2019).Selection of Physical and Chemical Properties of Natural Fibers for Predicting Soil Reinforcement.JOURNAL OF MATERIALS IN CIVIL ENGINEERING,31(10),13.
MLA Zhao, Lin-Shuang,et al."Selection of Physical and Chemical Properties of Natural Fibers for Predicting Soil Reinforcement".JOURNAL OF MATERIALS IN CIVIL ENGINEERING 31.10(2019):13.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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