Research Experiences for Undergraduates (REU), NHERI 2022: Non-Invasive Subsurface Modeling with Python Open-Source Packages

Tobe Onyekwelu; Aser Abbas; Kenneth Stokoe

doi:10.17603/ds2-20sx-s182

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PRJ-3738 | Research Experiences for Undergraduates (REU), NHERI 2022: Non-Invasive Subsurface Modeling with Python Open-Source Packages

Cite This Data:

Onyekwelu, T., A. Abbas, K. Stokoe (2022). Research Experiences for Undergraduates (REU), NHERI 2022: Non-Invasive Subsurface Modeling with Python Open-Source Packages. DesignSafe-CI. https://doi.org/10.17603/ds2-20sx-s182

Authors	; ;
Data Type(s)	REU
Natural Hazard Type(s)	Earthquake
Date of Publication	2022-10-28
Facilities
Awards	NSF, Natural Hazards Engineering Research Infrastructure, Network Coordination Office \| 2129782
Keywords	NHERI Large Scale Mobile Shakers, Non-Invasive Subsurface Modeling, Python Open-Source Packages
DOI	10.17603/ds2-20sx-s182
License	Creative Commons Attribution

Description:

This project discusses locating sinkholes and carrying out field tests using the T-Rex truck and non-invasive modeling techniques. The data were collected and and analyzed from the tests done in Newbury, Florida. The uploaded data may be used by researchers to carry out their own experiments and is unique in how the data is collected and the completeness of the subsurface picture created. Any researchers who are interested in understanding soil properties will find this research useful.