A Proper Methodology to Characterize the Associated Variability of UCS Data for the Metamorphic Rocks Based on Outlier Detection Methods
Publication: Geo-Congress 2024
ABSTRACT
This paper presents a methodology for analyzing the uncertainties of uniaxial compressive strength (UCS) test data for metamorphic rocks based on statistical and mineralogical analyses. The methodology consists of three steps: data treatment process, schistosity angle, and mineralogy. The treatment process involved different data treatment techniques to assess the variabilities of UCS data, and to determine appropriate outlier detection methods based on multiple decision-making criteria and engineering judgment. The results showed that adjusted boxplot and 2SD method provided more accurate outcomes in detecting outliers. The findings reveal that traditional boxplot may not be the best for treating UCS data. Moreover, the study examined the impact of schistosity angle and suggests removing samples within a specific angle range to decrease UCS variabilities. The mineralogical analysis examined the impact of various minerals on UCS variations, revealing a correlation between the dispersion and the variabilities of both hard and soft minerals.
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Information & Authors
Information
Published In
Geo-Congress 2024
Pages: 11 - 23
History
Published online: Feb 22, 2024
ASCE Technical Topics:
- Compression tests
- Compressive strength
- Continuum mechanics
- Data analysis
- Detection methods
- Dynamics (solid mechanics)
- Engineering fundamentals
- Engineering mechanics
- Geology
- Geomechanics
- Geotechnical engineering
- Laboratory tests
- Material mechanics
- Material properties
- Materials engineering
- Methodology (by type)
- Minerals
- Motion (dynamics)
- Research methods (by type)
- Rocks
- Soil mechanics
- Soil properties
- Solid mechanics
- Strength of materials
- Tests (by type)
- Uncertainty principles
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