Hammer Time: Using the Schmidt Hammer to Improve the Rockfall Activity Index (RAI) Forecasting Accuracy [supporting dataset]
The Schmidt hammer is a widely-used and inexpensive instrument used to estimate rock strength either in the lab or in the field. The research team tested the accuracy and repeatability of the Schmidt hammer to estimate rock strength for six Alaskan rock slopes and four Washington/Oregon rock slopes. The authors determined in situ rock hardness using two different Schmidt hammers (Types L and N); conducted unconfined compressive strength (UCS) testing for select Alaskan rock samples; and summarized the pros and cons of using the Schmidt hammer in the field. Parameters that potentially affect Schmidt hammer results include testing methodology, sample testing conditions, and data reduction. The results indicate that major structures within a rock unit (such as bedding or foliation), variation in mineralogy, and moisture content will significantly impact Schmidt hammer results. After data collection, several correction methods can be used to process the Schmidt hammer results. Choice of method depends on the intent of the measurements (i.e., strength of the intact rock or the rock mass), and the application of any method can alter the final results. The UCS results generally correlate to the Schmidt hammer rebound values (e.g., rock types with high rebound values also had high UCS values). Before using the Schmidt hammer, the authors suggest to: determine the final goal before selecting Schmidt hammer and testing methodology; identify rock type and potential discontinuities that can influence results; identify bias in sample or site selection; and select the most applicable data reduction method for identified goal. (2022-09-30)
- Dataset URL:
- Record URL:
- Record URL:
- Dataset URL:
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Supplemental Notes:
- The dataset supports report: Hammer Time Using the Schmidt Hammer to Improve the Forecasting Accuracy of the Rockfall Activity Index (RAI), available at the URL above. This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
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Corporate Authors:
University of Alaska, Fairbanks
Fairbanks, AK United States 99701Pacific Northwest Transportation Consortium
University of Washington
More Hall Room 112
Seattle, WA United States 98195-2700Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Authors:
- Darrow, Margaret M
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0000-0003-4078-4746
- Publication Date: 2023-12-6
Language
- English
Media Info
- Media Type: Dataset
- Dataset: Version: 1.0 Integrity Hash:
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Dataset publisher:
Harvard Dataverse
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Subject/Index Terms
- TRT Terms: Accuracy; Compressive strength; Data; Forecasting; Rockfalls; Testing equipment
- Identifier Terms: Schmidt hammer
- Geographic Terms: Alaska; Oregon; Washington (State)
- Subject Areas: Data and Information Technology; Geotechnology; Planning and Forecasting; Transportation (General);
Filing Info
- Accession Number: 01904530
- Record Type: Publication
- Contract Numbers: 69A3551747110
- Files: UTC, NTL, TRIS, USDOT
- Created Date: Jan 16 2024 9:02AM