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Dataset
Dataset for a Laser Ultrasound System to Non-Invasively Measure Compression Waves in Granular Ice Mixes
CryoGARS Snow Data
  • James Christopher McCaslin, Boise State University
  • T. Dylan Mikesell, Norwegian Geotechnical Institute
  • Hans-Peter Marshall, Boise State University
Summary & Purpose

Accurate knowledge of snow mechanical properties, including Young's modulus, shear modulus, Poisson’s ratio, and density, is critical to many areas of snow science and to snow-related engineering problems. To facilitate the assessment of these properties, an innovative non-contacting laser ultrasound system (LUS) has been developed. This system acquires ultrasound waveform data at frequencies ranging from tens to hundreds of kHz in a controlled cold-lab environment. Two different LUS devices were compared in this study to determine which recorded more robust ultrasound in granular ice mix samples. We validated the ultrasound observations with poro-elastic traveltime modeling based on physical and empirical constitutive relationships, comparison to and replication of previous studies, and the use of other accredited snow property measurement systems, i.e., the SnowMicroPen. For ice mixes, we determined that the PSV-400 Scanning Vibrometer (Polytec GmbH) produces higher quality ultrasonic wavefield observations (i.e. has a better signal-to-noise ratio) than the VibroFlex Fiber Vibrometer (Polytec GmbH) in the lab conditions tested here. Using the PSV-400, we then demonstrate the utility of this new LUS to study the relationship between snow compression-wave speed and density during snow compaction experiments.

Author Identifier

James Christopher McCaslin, https://orcid.org/0009-0005-0063-6556

T. Dylan Mikesell, https://orcid.org/0000-0001-9900-9846

Hans-Peter Marshall, https://orcid.org/0000-0002-4852-5637

Date of Publication or Submission
2-29-2024
DOI
https://doi.org/10.18122/cryogars_snow_data.1.boisestate
Funding Citation

This research is based upon work supported in part by the National Science Foundation under Grant 1906160 and by the Cold Regions Research and Engineering Laboratory (CRREL). JCM is supported by the SMART Scholarship funded by: OUSD/R\&E (the Under Secretary of Defense Research and Engineering), National Defense Education Program (NDEP)/BA-1, Basic Research.

Single Dataset or Series?
Single Dataset
Data Format
*.xlsx; *.mat; *.svd; *.pnt; *.txt
File Size
14.8MB
Data Attributes
2 PFV datasets, 13 PSV datasets with 46 SMP datasets and its config file, and a *.csv file containing sample information. Along with 17 *.xlsx datasets that are Capelli et al. 2016 datasets split into individual datasets.
Map Location
(43.6150186, -116.2023137)
Time Period
20220128 - 20240117
Privacy and Confidentiality Statement
Boise State is explicitly compliant with federal and state laws surrounding data privacy including the protection of personal financial information through the Gramm-Leach-Bliley Act, personal medical information through HIPAA, HITECH and other regulations. All human subject data (e.g., surveys) has been collected and managed only by personnel with adequate human subject protection certification.
Use Restrictions

Users are free to share, copy, distribute and use the dataset; to create or produce works from the dataset; to adapt, modify, transform and build upon the dataset as long as the user attributes any public use of the dataset, or works produced from the dataset, referencing the author(s) and DOI link. For any use or redistribution of the dataset, or works produced from it, the user must make clear to others the license of the dataset and keep intact any notices on the original dataset.

Disclaimer of Warranty

BOISE STATE UNIVERSITY MAKES NO REPRESENTATIONS ABOUT THE SUITABILITY OF THE INFORMATION CONTAINED IN OR PROVIDED AS PART OF THE SYSTEM FOR ANY PURPOSE. ALL SUCH INFORMATION IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND. BOISE STATE UNIVERSITY HEREBY DISCLAIMS ALL WARRANTIES AND CONDITIONS WITH REGARD TO THIS INFORMATION, INCLUDING ALL WARRANTIES AND CONDITIONS OF MERCHANTABILITY, WHETHER EXPRESS, IMPLIED OR STATUTORY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT.

IN NO EVENT SHALL BOISE STATE UNIVERSITY BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF INFORMATION AVAILABLE FROM THE SYSTEM.

THE INFORMATION PROVIDED BY THE SYSTEM COULD INCLUDE TECHNICAL INACCURACIES OR TYPOGRAPHICAL ERRORS. CHANGES ARE PERIODICALLY ADDED TO THE INFORMATION HEREIN. COMPANY AND/OR ITS RESPECTIVE SUPPLIERS MAY MAKE IMPROVEMENTS AND/OR CHANGES IN THE PRODUCT(S) AND/OR THE PROGRAM(S) DESCRIBED HEREIN AT ANY TIME, WITH OR WITHOUT NOTICE TO YOU.

BOISE STATE UNIVERSITY DOES NOT MAKE ANY ASSURANCES WITH REGARD TO THE ACCURACY OF THE RESULTS OR OUTPUT THAT DERIVES FROM USE OF THE SYSTEM.

Citation Information
James Christopher McCaslin, T. Dylan Mikesell and Hans-Peter Marshall. "Dataset for a Laser Ultrasound System to Non-Invasively Measure Compression Waves in Granular Ice Mixes" (2024)
Available at: http://works.bepress.com/hanspeter_marshall/78/