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Title: Robust Identification and Characterization of Thin Soil Layers in Cone Penetration Data by Piecewise Layer Optimization
Cone penetration testing (CPT) is a preferred method for characterizing soil profiles for evaluating seismic liquefaction triggering potential. However, CPT has limitations in characterizing highly stratified profiles because the measured tip resistance (π‘žπ‘ ) of the cone penetrometer is influenced by the properties of the soils above and below the tip. This results in measured π‘žπ‘ values that appear β€˜β€˜blurred’’ at sediment layer boundaries, inhibiting our ability to characterize thinly layered strata that are potentially liquefiable. Removing this β€˜β€˜blur’’ has been previously posed as a continuous optimization problem, but in some cases this methodology has been less efficacious than desired. Thus, we propose a new approach to determine the corrected π‘žπ‘ values (i.e. values that would be measured in a stratum absent of thin-layer effects) from measured values. This new numerical optimization algorithm searches for soil profiles with a finite number of layers which can automatically be added or removed as needed. This algorithm is provided as open-source MATLAB software. It yields corrected π‘žπ‘ values when applied to computer-simulated and calibration chamber CPT data. We compare two versions of the new algorithm that numerically optimize different functions, one of which uses a logarithm to refine fine-scale details, but which requires longer calculation times to yield improved corrected π‘žπ‘ profiles.  more » « less
Award ID(s):
1825189 1937984
PAR ID:
10314574
Author(s) / Creator(s):
Date Published:
Journal Name:
Computers and geotechnics
Volume:
141
ISSN:
1873-7633
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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