摘要

Structural multi-damage detection remains as a challenging task in the field of structural health monitoring (SHM). Mathematically, it is often converted into some kind of constrained optimization problems on continuous functions. In this paper, a theoretical background on continuous ant colony optimization (CACO) is introduced from discrete ACO to CACO models, sampling processes of ant paths are built, ant pheromone updating and evaporation models are also established in mathematics. As a new exploring attempt to structural damage detection, the CACO algorithm is applied to continuous optimization problem on structural damage detection in the SHM field. Based on numerical simulations about multiple damages of a 2-story rigid frame and on experimental study on damage detection of a 3-story building model in laboratory, some illustrated results show that the CACO algorithm is feasible and effective in structural damage detection. The CACO algorithm can not only locate accurate positions of multiple damages but also quantify severity of structural damages.

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