Proceedings of the 5th International Conference on Inverse Problems in Engineering: Theory and Practice, Cambridge, UK, 11-15th July 2005 THE MODAL IDENTIFICATION METHOD COUPLED WITH THE ADJOINT METHOD FOR REDUCED MODEL IDENTIFICATION

Proceedings of the 5th International Conference on Inverse Problems in Engineering: Theory and Prac- tice, Cambridge, UK, 11-15th July 2005 AN ITERATIVE METHOD FOR RECONSTRUCTION OF TEMPERATURE

Proceedings of the 5th International Conference on Inverse Problems in Engineering: Theory and Practice, Cambridge, UK, 11-15th July 2005 INVERSE MEASUREMENT OF THERMAL BOUNDARY CONDITIONS USING A TRANSIENT TEMPERATURE HISTORY

Abstract A non-iterative approach based on adjoint formulation of conduction heat transfer is proposed to identify the thermal boundary conditions from a transient temperature history measured in a solid body. Using a numerical solution of the adjoint problem, which can be regarded as a numerical Green’s function, the temperature at the measuring point can be evaluated under arbitrary thermal b...

Proceedings of the 5th International Conference on Inverse Problems in Engineering: Theory and Practice, Cambridge, UK, 11–15 July 2005 AN IDENTIFICATION PROBLEM ARISING IN THE THEORY OF HEAT CONDUCTION FOR MATERIALS WITH MEMORY

We deal with the problem of recovering a memory kernel k(t, η), depending on time t and on a spatial variable η, in a parabolic integro-differential equation related to a bounded domain Ω ⊂ R. We show that, under suitable assumptions and two pieces of additional information, our identification problem can be uniquely solved locally in time.

Proceedings of the 5th International Conference on Inverse Problems in Engineering: Theory and Practice, Cambridge, UK, 11-15th July 2005 GUARANTEED METHOD FOR THE ESTIMATION OF DIELECTRIC RELAXATION MODEL PARAMETERS T. RAÏSSI, N. RAMDANI, L. IBOS and Y. CANDAU

In this paper, a guaranteed method for the estimation of dielectric relaxation model parameters is presented. The only assumption used is that data uncertainty is bounded with known prior bounds. The main difference with classical methods based on least squares minimisation is that the solution is not a point but leads to a set. When least squares methods are used, the model structure should be...

Proceedings of the 5th International Conference on Inverse Problems in Engineering: Theory and Practice, Cambridge, UK, 11-15th July 2005 NONSTATIONARY BOUNDARY ESTIMATION IN ELECTRICAL IMPEDANCE TOMOGRAPHY BASED ON THE IMM SCHEME

In this paper, an effective nonstationary boundary estimation scheme in EIT is presented based on the interacting multiple model (IMM) algorithm. The inverse problem is treated as a stochastic nonlinear state estimation problem with the time-varying boundary (state) being estimated on-line with the aid of the IMM algorithm. In the design of the IMM algorithm multiple models with different proce...