Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
An output‐only structural condition assessment method for civil structures by the stochastic gradient descent method
The interesting to assess the condition of a structure with structural health monitoring data has gained many attentions. Most of the existing methods require the measurement at the force location. This paper presents a novel output‐only condition assessment method that does not require measurement at the force location. The unknown structural damage indices and input force can be identified with the stochastic gradient descent method. The dynamic acceleration response sensitivities with respect to the unknown structural damage indices and input force are derived analytically. Both unknown damage indices and unknown input force can be identified by minimizing the discrepancy between the measured and calculated vibration data. Numerical studies on a two‐dimensional truss and seven‐floor frame and experimental studies on a steel frame structure are presented to verify the accuracy and efficiency of the proposed method. Results demonstrate that the damage severity, location, and unknown input force can be identified. Also, the measurement at the force location is not required. Furthermore, when 20% measurement noise is considered, the identified error is less than 5%.
An output‐only structural condition assessment method for civil structures by the stochastic gradient descent method
The interesting to assess the condition of a structure with structural health monitoring data has gained many attentions. Most of the existing methods require the measurement at the force location. This paper presents a novel output‐only condition assessment method that does not require measurement at the force location. The unknown structural damage indices and input force can be identified with the stochastic gradient descent method. The dynamic acceleration response sensitivities with respect to the unknown structural damage indices and input force are derived analytically. Both unknown damage indices and unknown input force can be identified by minimizing the discrepancy between the measured and calculated vibration data. Numerical studies on a two‐dimensional truss and seven‐floor frame and experimental studies on a steel frame structure are presented to verify the accuracy and efficiency of the proposed method. Results demonstrate that the damage severity, location, and unknown input force can be identified. Also, the measurement at the force location is not required. Furthermore, when 20% measurement noise is considered, the identified error is less than 5%.
An output‐only structural condition assessment method for civil structures by the stochastic gradient descent method
Ni, Ping‐He (Autor:in) / Ye, Xiao‐Wei (Autor:in) / Ding, Yang (Autor:in)
01.12.2022
19 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Output-only modal parameter identification of civil engineering structures
British Library Online Contents | 2004
|Digital Image Correlation Using Stochastic Parallel-Gradient-Descent Algorithm
British Library Online Contents | 2013
|DOAJ | 2024
|A fast non-monotone line search for stochastic gradient descent
Springer Verlag | 2024
|