@inproceedings{26f242b297f1468bb25156635fdfa1d2,
title = "Study on the Compressive and Tensile Strength Behaviors of Corn Husk Fiber-Cement Stabilized Soil",
abstract = "Soft soil from construction sites and disaster areas with low strength is considered as solid waste. Therefore, it is necessary to recycle soft soil for reusing in construction. This research focuses on studying the behaviors of modified soil produced by using fiber and cement. The current study carries out experiments to investigate the influence of fiber on cemented soil. The laboratory experiments including splitting tension test and unconfined compression test are conducted. Corn husk fibers produced from crop residue of agriculture are used to reinforce cemented soil. The corn husk fiber content is 0%, 0.25%, 0.5%, and 1%. The used cement content is 1% and 2%. The results show that fiber inclusion improves both failure strength from unconfined compression test and failure tensile strength from splitting tension test. The highest increase of failure strength and failure tensile strength of cemented specimens is 35.3% and 72.6% when fiber content is 1%, respectively. Fiber inclusion changes the behavior of specimens from brittle to ductile. Moreover, corn husk fiber makes a contribution to the reduction of loss of post-peak stress. The increase in fiber content leads to a decrease in loss of post-peak stress.",
keywords = "Corn husk, Failure strength, Soil improvement, Splitting tension test, Unconfined compression test",
author = "Duong, {Nga Thanh} and Tomoaki Satomi and Hiroshi Takahashi",
note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.; 5th International Conference on Green Technology and Sustainable Development, GTSD 2020 ; Conference date: 27-11-2020 Through 28-11-2020",
year = "2021",
doi = "10.1007/978-3-030-62324-1_42",
language = "English",
isbn = "9783030623234",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "492--503",
editor = "Yo-Ping Huang and Wen-June Wang and Quoc, {Hoang An} and Giang, {Le Hieu} and Nguyen-Le Hung",
booktitle = "Computational Intelligence Methods for Green Technology and Sustainable Development - Proceedings of the International Conference GTSD2020",
address = "Germany",
}
