Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Spectral Reflectance as a Rapid Technique for Field-Determination of Soil Engineering Properties
This study examines the extent to which reflectance spectroscopy and swelling potential can be correlated in the expansive clays and shales along the Colorado Front Range Urban Corridor. The study involved trenching in the steeply-dipping Pierre and Smoky Hill Shales to expose bedrock for the acquisition of approximately 70,000 reflectance spectra that were developed into spectral images of the trench walls, and extensive sampling for geotechnical and mineralogical analysis. Regression models were developed which span a large range of swell potential indices, and provide a means to determine swell potential magnitudes from reflectance spectra in the field in seconds. These models also have the potential to extend swell potential measurements beyond the time and labor-intensive laboratory testing methods used in current practice. Useful correlations for prediction were obtained for percent clay, Atterberg limits, the swell potential indices proposed by Seed, Chen, and McKeen, and the percent swell obtained from consolidation-swell tests. For the sake of brevity only liquid limit and swell percent models are discussed. Slab performance risk categories can be predicted using results of partial least squares regression models based on spectral reflectance. 300–500 samples per day can be analyzed in the field using these spectral methods.
Spectral Reflectance as a Rapid Technique for Field-Determination of Soil Engineering Properties
This study examines the extent to which reflectance spectroscopy and swelling potential can be correlated in the expansive clays and shales along the Colorado Front Range Urban Corridor. The study involved trenching in the steeply-dipping Pierre and Smoky Hill Shales to expose bedrock for the acquisition of approximately 70,000 reflectance spectra that were developed into spectral images of the trench walls, and extensive sampling for geotechnical and mineralogical analysis. Regression models were developed which span a large range of swell potential indices, and provide a means to determine swell potential magnitudes from reflectance spectra in the field in seconds. These models also have the potential to extend swell potential measurements beyond the time and labor-intensive laboratory testing methods used in current practice. Useful correlations for prediction were obtained for percent clay, Atterberg limits, the swell potential indices proposed by Seed, Chen, and McKeen, and the percent swell obtained from consolidation-swell tests. For the sake of brevity only liquid limit and swell percent models are discussed. Slab performance risk categories can be predicted using results of partial least squares regression models based on spectral reflectance. 300–500 samples per day can be analyzed in the field using these spectral methods.
Spectral Reflectance as a Rapid Technique for Field-Determination of Soil Engineering Properties
Goetz, Alexander F. H. (Autor:in) / Olsen, Harold. W. (Autor:in) / Noe, David C. (Autor:in) / Koehler, James R. (Autor:in) / Humble, Jessica P. (Autor:in) / Fuschino, Julia (Autor:in) / Johnson, Eric L. (Autor:in) / Johnson, Brody J. (Autor:in)
Biennial Geotechnical Seminar 2006 ; 2006 ; Denver, Colorado, United States
GEO-Volution ; 33-61
03.11.2006
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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