Civil large-scale space structures are usually built for venues where hundreds ofpeople assemble, such as sports stadiums/arenas, gymnasiums, and others. Failure ofthis type of structure may endanger the safety of hundreds of people. Althoughstructural health monitoring (SHM) and damage detection of a wide variety ofstructures (such as bridges, buildings, off-shore platforms, and dams) have beenextensively studied, SHM of civil large-scale space structures is rarely studied due totheir complexity. An effective damage detection approach for this type of structurewould increase the integrity of the structure and the safety of the general public. Thisstudy proposes a novel approach to accurately localize damaged members withoutusing the baseline data. First, average axial-strain (AAS) mode shapes are defined.AAS mode shapes are associated with average axial-strain of members, and they areextracted from translational mode shapes. Then, a damage indicator based on AASmode shapes is proposed. This approach does not require baseline data, whichcircumvents the difficulty in matching mode shapes before and after damage,specifically exist in this type of structure. This approach has been validated bynumerical simulation of a large-scale reticulated shell structure.
展开▼
