Robust Static Structural System Identification Using Rotations

Deflections are commonly measured in the static structural system identification of structures. Comparatively less attention has been paid to possibility measuring rotations for purposes, despite many advantages using inclinometers, such as a high resolution and being reference free. Although some work can be found literature, this paper, very first time, proposes statistical analysis that justifies theoretical advantage rotations. The analytical expressions target parameters obtained via constrained observability method first. Combined with inverse distribution theory, probability density function estimations obtained. Comparative studies on simply supported bridge frame structure demonstrate regarding unbiasedness extent variation estimations. To achieve robust parameter estimations, four strategies use redundant proposed compared. Numerical verifications high-rise building have shown promising results.