Terrestrial laser scanning technology (TLS) has become one of the best-performed technologies for acquisition of three-dimensional (3D) information of objects. It is a reliable method in the monitoring of structure deformations and cracks. In this thesis, the health monitoring of concrete structures is investigated based on TLS and a numerical analysis is carried out by Finite Element Method (FEM) model. The benefits of 3D TLS in the generation and calibration of FEM models are fully utilized to construct an intelligent model for the detection and assessment of objects, e.g. the monitoring and assessment of concrete structures. On one hand, polynomial approximation and concrete cracks detection from the TLS point clouds data are realized in MATLAB program. Justification is made on the quality of both approximated surface and cracks. On the other hand, the constructed FEM model is validated by the surface-based calculations from TLS. The precision of FEM model prediction is of high importance. In this situation, response surface methodology (RSM) is adopted to correct and update the FEM model. The displacement-based RSM correction and volume-based RSM updating are applied and the significance of RSM models are confirmed by the determination coefficient R2.
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