Effects of Enzyme and Microbially Induced Carbonate Precipitation Treatments on the Response of Axially Loaded Pervious Concrete Piles
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Abstract
EICP (enzyme induced carbonate precipitation) and MICP (microbially induced carbonate precipitation) treatments were applied through pervious concrete model piles to cement soil around the piles and enhance soil-pile interaction and pile capacity. The behaviors of the pervious concrete piles treated by EICP and MICP when subjected to axial compression loading were compared with each other and with an untreated pervious concrete pile. These tests were performed on 1/10th-scale model piles in the soil-structure interaction (SSI) testing facility at Lehigh University. The piles and surrounding soil were instrumented with strain gauges, bender elements, in-soil null pressure sensors, and a tactile pressure sheet. The responses of the pervious concrete piles and surrounding soil were compared through analysis of shear wave (S-wave) velocities in the treated and untreated soil zones, load transfer along the piles at the ultimate load condition, soil moisture content, calcium carbonate () content and ammonium () concentration in soil, and the characteristics of the precipitated crystals along the soil-pile interface. In addition, comparisons with consolidated drained (CD) triaxial test results were made among sand without treatment and with EICP and MICP treatments. The results presented in this paper demonstrated that both EICP and MICP treatments can create a cemented soil zone surrounding the pervious concrete pile and improve the pile capacity and load transfer under compression loading.
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Data Availability Statement
The data used to support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors acknowledge the support of the National Science Foundation (NSF) Civil, Mechanical, and Manufacturing Innovation (CMMI) Division under Grant No. CMMI-1233566 and the NSF Engineering Research Center program under Collaborative Agreement No. ERC-1449501. The authors are grateful for this support. Any opinions or positions expressed in this article are those of the authors only and do not reflect the opinions or positions of the NSF. The research team acknowledges the efforts of several graduate students, including Hanna M. Jabbour, Mathu Davis, Suguang Xiao, and Lusu Ni. Also, the authors acknowledge the help of Edward Tomlinson, and Darrick Fritchman, technician, and instrumentation and system specialist at Lehigh University’s Advanced Technology for Large Structural Systems (ATLSS) Engineering Research Center.
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Information & Authors
Information
Published In
Journal of Geotechnical and Geoenvironmental Engineering
Volume 147 • Issue 8 • August 2021
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Jun 2, 2020
Accepted: Mar 18, 2021
Published online: May 24, 2021
Published in print: Aug 1, 2021
Discussion open until: Oct 24, 2021
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