Damage Classification in Space Frame Structures Using a New Artificial Immune System Algorithm

Steel jacket-type platforms are the common kind of the space frame structures and health monitoring is an important issue in their safety assessment. In this study, a new damage detection method is adapted for this kind of structures and inspected experimentally using a laboratory model. The method has been investigated for developing the robust damage detection technique which is less sensitive to both measurement and analytical model uncertainties. For this purpose, incorporation of the artificial immune system with weighted attributes (AISWA) method into finite element (FE) model updating has been proposed. It has been shown that the method offers important advantages. Therefore, it is proposed as a suitable method for the detection of the failures in the large civil engineering structures with more complicated structural geometry.

کلیدواژه ها:

Space Frame ، Fault Diagnosis ، AIS Method ، Noise Modeling ، Physical Models