Non-destructive assessment of the axial stress state in iron and steel truss structures by dynamic measurements
- The inverse identification of the stress state in axially loaded slender members of iron and steel truss structures using measured dynamic data is discussed. A methodology is proposed based on the finite element model updating coupled with nature-inspired optimization techniques, in particular the particle swarm optimization. The numerical model of truss structures is calibrated using natural frequencies and mode shapes from vibration tests, as well as additional information of the axial forces in selected truss members based on the experimentally identified modal parameters. The results of the identification are the axial forces or corresponding stresses in truss structures and the joint rigidity in relation to pinned and rigid conditions.