enhancing cable-stayed bridge structural health assessment using phase space trajectory and load pattern variability

A novel approach for assessing the structural health of cables in cable-stayed bridges, under varying load patterns, was presented. the method aimed to evaluate cable conditions by utilizing phase space analysis while minimizing traffic disruptions and reducing the necessity for extensive sensor deployment. through comprehensive numerical investigations on the manavgat cable-stayed bridge, the efficacy of the proposed method was demonstrated. for this purpose, the time-domain responses of the deck were utilized. the combination of change in phase space topology (cpst) and mahalanobis distance (md) indices was applied to detect cable damage by discerning nuanced deviations in phase space trajectories. the results revealed that both the md and cpst indices exhibited impressive accuracy in identifying damage severity and location. to emphasize the robustness of the phase space-based damage detection method, a comparative analysis between the cpst and modal parameters was conducted. at the 10% damage level, the accuracy of cpst increased by 84.5% compared to the first mode frequency of the structure in load state 1. it highlighted the high sensitivity of cpst in cable damage detection.