The Optimization Algorithm for Large-Scale In Situ Stress Field

In situ stress state is a predominant factor for the design and safe construction of geotechnical engineering. For real site, amount calculation using finite element method in field increases dramatically with increase freedom due to large-scale uncertainties. order reduce computing cost without losing accuracy calculation, an optimization algorithm combined reduced model, which realized by proper orthogonal decomposition (POD) field, put forward this paper. The POD produces set bases through extraction variables, combining Galerkin create numerical model. model then calculated global inversely find solution actual field. verify efficiency method, two examples are presented simulate inverse They showed that computation time could reach 1/10 ordinary time. Also, results good minimum computational expense, can provide reference