Research on Tower Crane Structure Damage Detection Based on ARX Model
Shengchun Wang, Ye Zhang, Peiwei Ni, Yan Tian
Available Online November 2015.
- https://doi.org/10.2991/tmcm-15.2015.23How to use a DOI?
- tower crane; statistical recognition technology; ARX model; the damage characteristic parameter
- In view of the health inspection of tower crane, the paper puts forward an ARX model to detect the status of the tower crane structure which uses the node displacements of tower crane below standard section as input and the up standard section of the node displacements as the output. Combining with statistical recognition technology the states detection of the structure are detected. First, the paper establishes a counterpart finite element model based on the laboratory existing mini tower cranes to obtain the displacement signals of tower crane nodes in intact and damaged states with excitation load. Then it chooses a better identified ARX model to define the damage characteristic parameter. Finally it judges the dynamic response of the good state as a reference to analyze the differences between the response signals of damage status and normal structures, so as to complete the diagnose with the method of statistical analysis. The method shows a high ability of damage identification.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Shengchun Wang AU - Ye Zhang AU - Peiwei Ni AU - Yan Tian PY - 2015/11 DA - 2015/11 TI - Research on Tower Crane Structure Damage Detection Based on ARX Model BT - Proceedings of the 2015 International Conference on Test, Measurement and Computational Methods PB - Atlantis Press SP - 91 EP - 95 SN - 2352-538X UR - https://doi.org/10.2991/tmcm-15.2015.23 DO - https://doi.org/10.2991/tmcm-15.2015.23 ID - Wang2015/11 ER -