一种用于建筑结构刚度偏心损伤检测的时域识别方法
By establishing translational-torsional coupled motion equations through time-domain identification methods, the root mean square value of candidate stiffness centers for each floor of the building structure is calculated. This solves the problem that existing technologies cannot identify complex non-axial stiffness eccentric structures with unknown stiffness parameters, and achieves high-precision identification of building structure stiffness centers.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING JIAOTONG UNIV
- Filing Date
- 2024-12-25
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for detecting structural stiffness eccentricity damage cannot effectively handle complex structures with non-axial stiffness eccentricity when the structure has unknown stiffness parameters, resulting in inaccurate assessment of the structure's dynamic response and potential safety hazards.
By employing a time-domain identification method, dynamic analysis is performed by determining the physical properties of each floor of the building structure, establishing translational-torsional coupled motion equations, calculating the root mean square value of candidate stiffness centers, and identifying the stiffness centers of multi-story non-coaxial eccentric structures.
It effectively identifies the stiffness center of multi-layer non-coaxial eccentric structures, avoids errors related to the Fourier transform of signals, and takes into account the interlayer interaction and torsional coupling effects, thus improving the identification accuracy and safety.
Smart Images
Figure CN119880306B_ABST