4.5 Article

Calibration of strain-softening constitutive model parameters from full-field deformation measurements

Journal

CANADIAN GEOTECHNICAL JOURNAL
Volume 60, Issue 6, Pages 817-833

Publisher

CANADIAN SCIENCE PUBLISHING
DOI: 10.1139/cgj-2021-0342

Keywords

large deformation modelling; particle image velocimetry; full-field deformation measurement; constitutive parameter calibration

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Offshore geotechnical problems related to strain-softening of fine-grained soils can be accurately simulated by carefully calibrating constitutive model parameters through matching with standard element test data. However, traditional element test protocols are unable to achieve fully remoulded conditions to accurately determine strain-softening parameters. This study explores the potential of using image-based full-field deformation measurements and external loading data to experimentally determine these parameters.
Many offshore geotechnical problems-such as cyclic T-bar penetration and lateral buckling of pipelines-are affected by the tendency of fine-grained soils to strain-soften due to remoulding. Careful calibration of the constitutivemodel parameters that control strain softening is essential for accurate simulation of these processes. This is usually achieved by matching constitutive model response with standard element test data, which implicitly assumes that homogeneous stress/strain fields exist within the sample. However, popular element test protocols (e.g., triaxial, simple shear) cannot apply sufficient deformation-at least as measured at the boundaries-to achieve fully remoulded conditions. This work explores the potential to determine strain-softening parameters experimentally, directly from image-based full-field deformation measurements and external loading data. Artificial data generated from finite element simulations of biaxial compression and T-bar penetration tests, using a non-locally regularised strain-softening constitutive model based on Modified Cam Clay, are then used to demonstrate the potential of the proposed technique. The results demonstrate significant potential for the application of the technique to identify constitutive parameters from full-field measurements even when polluted with modest measurement noise.

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