Abstract
The parameter identification was very important in research areas including parameterization of joints and boundary conditions, model structure determination and model-based damage detection. In many cases, a beam is not uniform and is not supported rigidly. Boundary condition is unknown. To estimate the joint failure and to identify parameters of the beam itself, we must identify the parameters of the beam and the joint failure at the same time. In this paper, we tried to identify the density and the elasticity of the beam with uncertain support and then estimated the joint parameters from image processing data.
