Structural damage detection using improved modal strain energy index and cloud model

In order to solve structural damage identification problem, a damage assessment approach based on improved modal strain energy dissipation ration index and cloud model is presented. First, structural modal strain energy is considered as information source and an improved modal strain energy dissipation ration index (IMSEDRI) is proposed to identify suspected damage elements. Then, cloud model theory is introduced and a backward cloud generator is proposed to analyze noisy modal data. The simulation results demonstrate that the damage detection method can analyze damage problem with random noise, and the calculated results of the proposed IMSEDRI are better than those of the basic modal strain energy dissipation ration index.