Stiffness matrices and genetic algorithm identifiers towarddamage detection

摘要

The research effort reported in this paper aims to identify the changes betweenrnundamaged and damaged structural configurations by the application of Genetic Algorithmsrn(Gas). In particular, Gas are used to evaluate the stiffness components of a multi degrees ofrnfreedom structure. For this purpose, the following steps are taken. The response measurementsrnare collected and the eigenvalues of the system are determined from them, in real-time. Arnspecific genetic algorithm estimates the corresponding stiffness matrix of the structure. Fromrnsignals recorded during different periods of the structure lifetime, one obtains a sequence ofrnstiffness matrices whose comparison allows to detect the presence of damage, if any, and tornlocalize it. An example of a three-storey, steel-concrete composite, laboratory structure isrnreported. The goal is the generalization of the process from the two-dimension schematizationrnadopted in the previous works, to the exploitation of a three-dimensional sensors information, sornthat the eigenvalues of the system are globally estimated.