Development of RBSM Inverse Analysis using Extended Kalman Filter Algorithm

Fundamental study of a support system for design and works in slope and underground space (I)

Abstract

This paper deals with a new inverse analysis of identifying the apparent elastic constants of soil and rock foundation with slides and cracks. To solve the inverse problem, RBSM analysis was combined with the extended Kalman filter algorithm. The effectiveness of the method was evaluated through three different types of numerical experiment. It was found that Young's modulus estimated by the RBSM inverse analysis showed a decrease tendency with an increase of slides and cracks. As a result, the numerical tests verified that the RBSM inverse analysis developed in this reserch work was effective to identify directed geotechnical parameters.