Model calibration of a geomechanical problem with efficient
global optimization
A. Lovison, M. Putti
M3E S.r.l., Padova, Italy, and Dept. of Mathematics, University of Padova, Padova, Italy
F. Comola
M3E S.r.l., Padova, Italy, and CRYos Lab., Ecole Polytechnique Federale de Lausanne,
Lausanne, Switzerland
P. Teatini, C. Janna, M. Ferronato, G. Gambolati
M3E S.r.l., Padova, Italy, and Dept. Mathematical Methods and Models for Scientific
Applications, University of Padova, Padova, Italy
Efficient Global Optimization (EGO) is an optimization strategy based on approximating functions,
namely Gaussian process models. We show the application of this technique to a model calibration
problem referred to a geomechanical application. By means of the approximating function an
objective relevance ranking among the problem parameters can be produced, offering valuable and
reusable information on the physical problem.
