Multi-sensor technology for B-spline modelling and deformation analysis of composite structures

Abstract High-accuracy deformation analysis of composite structures is an important topic in the field of civil engineering and increasing attention is given to geometry-based analytical model, such as B-splines where the determination of the parameter values has a great influence on the accuracy of the B-spline approximation. In this paper, B-spline approximation is carried out with point cloud data of an arch structure obtained with terrestrial laser scanner (TLS) and the parameter control point is investigated with the aid of laser tracker (LT) and corner cube reflectors (CCRs). We focused on the discussion about the influence factors of the optimal parameters, such as CCR uncertainty, curvature of object, and order of the B-spline. The innovation of this paper is that we adopt LT to optimize the parameters of B-spline fitting, and the results are compared and verified by Bayesian information criterion.

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