Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Probabilistic Geotechnical Site Characterization from Geophysical Measurements Using Model-Data Fusion
This paper exemplifies and validates a recently developed model-data fusion algorithm in spatial and statistical characterization of the elastic soil parameters at any geotechnical sites from geophysical measurements. Advanced geophysical test measurements available for the NEES@UCSB site in Garner Valley, CA, are analyzed to probabilistically estimate the Young’s modulus and Poisson’s ratio of soil at a 60 m×60 m parcel of the site up to a depth 40 m. The probabilistic estimates of the soil parameters are presented in terms of the mean and standard deviation profiles as well as correlation structures in the x-, y-, and z-direction.
Probabilistic Geotechnical Site Characterization from Geophysical Measurements Using Model-Data Fusion
This paper exemplifies and validates a recently developed model-data fusion algorithm in spatial and statistical characterization of the elastic soil parameters at any geotechnical sites from geophysical measurements. Advanced geophysical test measurements available for the NEES@UCSB site in Garner Valley, CA, are analyzed to probabilistically estimate the Young’s modulus and Poisson’s ratio of soil at a 60 m×60 m parcel of the site up to a depth 40 m. The probabilistic estimates of the soil parameters are presented in terms of the mean and standard deviation profiles as well as correlation structures in the x-, y-, and z-direction.
Probabilistic Geotechnical Site Characterization from Geophysical Measurements Using Model-Data Fusion
Parida, Siddharth S. (Autor:in) / Sett, Kallol (Autor:in) / Singla, Puneet (Autor:in)
Geotechnical Earthquake Engineering and Soil Dynamics V ; 2018 ; Austin, Texas
07.06.2018
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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