The implications of soil structure interaction use to cause important damage to structures. The main challenge for engineers as to restore them is to estimate them. Structural health monitoring analysis is a solution. The main objective is to estimate unknown variables of a structure. The second is to define the location and number of measurements necessary to identify the unknown parameters as efficiently as possible. So as to identify parameters, an inverse method analysis is employed. By comparison between in situ measurements and predictions obtained by a finite element model, an iterative program converges towards the most appropriate values. This iterative program is based on the particle swarm optimization algorithm, which is a very efficient way to solve functions of such complexity. Both numerical and real experimentation were done using a continuous beam bearing on three elastic supports bearing itself on a wooden plate representing the soil. Stiffness's are varied and several sensors are used to measure displacements under loading. The results of numerical and real experimentation show that the method is able to identify unknowns stiffnesses with precision, even for bug ridden data. The analysis also puts into relief that the location of measurements has an important impact on the quality of the identification.
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