Undergraduate Research Experience (REU), NHERI 2019: Limitations of Multi-channel Analysis of Surface Waves (MASW) Method on Subsurface Anomaly Detection

Jethro Ssengonzi; Brady Cox; Jodie Crocker; Joseph Vantassel; Ugur Arslan

doi:10.17603/ds2-1fka-8y31

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PRJ-2476 | Undergraduate Research Experience (REU), NHERI 2019: Limitations of Multi-channel Analysis of Surface Waves (MASW) Method on Subsurface Anomaly Detection

Cite This Data:

Ssengonzi, J., B. Cox, J. Crocker, J. Vantassel, U. Arslan (2019). Undergraduate Research Experience (REU), NHERI 2019: Limitations of Multi-channel Analysis of Surface Waves (MASW) Method on Subsurface Anomaly Detection. DesignSafe-CI. https://doi.org/10.17603/ds2-1fka-8y31

Authors	; ; ; ;
Data Type(s)	None
Date of Publication	2019-08-04
Facilities
Awards	NSF, Natural Hazards Engineering Research Infrastructure, Network Coordination Office, 1612144 \| NSF, Natural Hazards Engineering Research Infrastructure, Network Coordination Office,1612144
Keywords	MASW, 2D MASW, surface waves, subsurface anomaly detection, subsurface, anomaly, Python, DENISE
DOI	10.17603/ds2-1fka-8y31
License	Creative Commons Public Domain Dedication

Description:

This project focuses on understanding the limitations of a promising non-invasive form of soil profiling called Multi-channel Analysis of Surface Wave (MASW) Method. Work was done on a python script to optimize the processing phase of this MASW method powered by the use of DENISE on TACC computers.