TY - GEN
T1 - Influence of physical and biochemical composition of three cellulose fibers on cracking of soil
AU - Boddu, Rishita
AU - Hong, Min
AU - Yongkang, Deng
AU - Fengjiao, Chen
AU - Garg, Ankit
AU - Bordoloi, Sanandam
AU - Kamchoom, Viroon
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2019.
PY - 2019
Y1 - 2019
N2 - Different soil improvement techniques have been used to intensify the engineering properties of soil. Three different lignocellulose fiber-reinforced (jute, coir and water hyacinth (WH)) have been explored on the desiccation potential of compacted clayey silt coil. The experimental methodology involved the mixing of fibers with soil at requisite amount and subjecting them to natural environment with controlled irrigating. The controlled irrigation comprised of 15 wetting/drying cycles for 105 days. Parameters like matric suction and water content were focused upon and recorded along with the surface crack formation. The data obtained from the field experiments were analyzed using the Artificial Neural Network (ANN) approach, which is developed in house using C++ language. From the analysis, it can be comprehended that coir is more effective as a reinforcement due to its multifilament nature and higher lignin content which is suitable in resisting crack formation. Further, optimization analysis and sensitivity analysis suggested mechanism of cracking for each fiber.
AB - Different soil improvement techniques have been used to intensify the engineering properties of soil. Three different lignocellulose fiber-reinforced (jute, coir and water hyacinth (WH)) have been explored on the desiccation potential of compacted clayey silt coil. The experimental methodology involved the mixing of fibers with soil at requisite amount and subjecting them to natural environment with controlled irrigating. The controlled irrigation comprised of 15 wetting/drying cycles for 105 days. Parameters like matric suction and water content were focused upon and recorded along with the surface crack formation. The data obtained from the field experiments were analyzed using the Artificial Neural Network (ANN) approach, which is developed in house using C++ language. From the analysis, it can be comprehended that coir is more effective as a reinforcement due to its multifilament nature and higher lignin content which is suitable in resisting crack formation. Further, optimization analysis and sensitivity analysis suggested mechanism of cracking for each fiber.
KW - ANN
KW - Crack intensity factor
KW - Desiccation cracks
KW - Lignocellulose fibers
KW - Soil water retention
UR - http://www.scopus.com/inward/record.url?scp=85060629472&partnerID=8YFLogxK
U2 - 10.1007/978-981-13-2227-3_43
DO - 10.1007/978-981-13-2227-3_43
M3 - Conference Proceeding
AN - SCOPUS:85060629472
SN - 9789811322266
T3 - Environmental Science and Engineering
SP - 348
EP - 355
BT - Proceedings of the 8th International Congress on Environmental Geotechnics Volume 3 - Towards a Sustainable Geoenvironment
A2 - Zhan, Liangtong
A2 - Chen, Yunmin
A2 - Bouazza, Abdelmalek
PB - Springer Berlin Heidelberg
T2 - 8th International Congress on Environmental Geotechnics, ICEG 2018
Y2 - 28 October 2018 through 1 November 2018
ER -