A MRACO Algorithm for Structural Multi-Damage Detection

A new MRACO identification algorithm is proposed for structural multi-damage detection through combining MapReduce procedure and ACO method in this paper. Four classical benchmark functions are first employed to evaluate convergent performance of the MRACO algorithm, which pursues a global solution to combination optimal problem with constrained conditions. Then, a series of numerical simulations on constrained optimal problem about structural multi-damage detection of a two-story rigid frame have been conducted for assessing the applicability of the new MRACO algorithm applied to the structural damage detection field. Finally, some illustrated numerical results show that the MRACO algorithm can not only locate the structural multiple damages but also effectively quantify the severity of damages with higher accuracy and good noise immunity.