Computer‐aided calibration of a soil plasticity model

Abstract

A non-linear optimization technique based on the quasi-Newton approach is employed to back-calculate certain model parameters of a simple. bounding surface, soil plasticity model from in situ pressuremeter data.The theoretical response corresponding to a given set of parameters is generated by finite element analysis. A semi-analytical procedure is developed for the accurate and efficient evaluation of the gradient of objective function with respect to the model parameters of interest. The BFGS update is used to update the Hessian. Results of a series of numerical experimentation using artificial pressuremeter responses is first reported and discussed. A set of laboratory cavity expansion data is then used to calibrate the constitutive model. Associate Professor Former Graduate Student 0363-906 1/91/120835-225 1 1 .oO 0 1991

Nonparametric Monitoring for Geotechnical Structures Subject to Long-Term Environmental Change

“…Some examples of the application of LSE in geomechanical applications include the work of Gioda and Maier [44], Cividini et al [45], Cividini et al [46], Arai et al [47], Arai et al [48], Arai et al [49], Gioda and Sakurai [50], Shoji et al [51], Shoji et al [52], Anandarajah and Agarwal [53], Murakami et al [54], Beck and Woodbury [55], and Xiang et al [56].…”

“…Some examples of optimization algorithms used in geotechnical studies include the Newton method [73], quasiNewton method [53], Gauss-Newton method [56,73], conjugation gradient method [47], simplex method [45,54], complex method [74], random search method [75,76], and more recently evolutionary algorithms, such as the genetic algorithm [77][78][79][80] and the particle swarm optimization method [81].…”

A combined neural network/gradient‐based approach for the identification of constitutive model parameters using self‐boring pressuremeter tests

“…Thus, it is required to initialize the gradient-based minimization with the initial parameters, which are located in a close vicinity to the global minimum. As far as multiple finite element (FE) analysis runs providing the current response of the BVP are considered, a trial-anderror search for a neighborhood of the global minimum may prove to be very time-consuming due to the iterative manner of minimization and the number of parameters that describe constitutive relations [14]. Once the global minimum is found, cross validation should be carried out.…”

Three‐dimensional inverse analyses of a deep excavation in Chicago clays

“…The increasing use of the finite element (FE) method in geotechnical problems should also be accompanied by appropriate methods to improve the assumed soil model. Inverse analyses have been used to identify soil parameters from laboratory or in situ tests [12][13][14], and performance data from excavation [15][16][17][18][19][20] and embankment construction on soft soils [21,22]. Many of these approaches use optimization techniques including genetic algorithms [15,17,[23][24][25][26][27][28] as an alternative to ad hoc methods for solving the inverse problem for soil parameter identification.…”