A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Modal Parameter Identification of Concrete Filled Steel Tube Arch Bridge Based on Stochastic Subspace Method
Based on stochastic subspace method, the natural frequency of the bridge arch rib, damping ratios and vibration mold parameter was obtained by modal parameter identification of a concrete filled steel tubular arch bridge under ambient excitation, and the Midas Civil finite element software was used to establish a computational model of the bridge. Measured results and calculated results were compared, and the reliability of the identification results have been verified, the identified dynamic properties can be served as the basis in the finite element model updating, damage detection, condition assessment and health monitoring of the bridge.
Modal Parameter Identification of Concrete Filled Steel Tube Arch Bridge Based on Stochastic Subspace Method
Based on stochastic subspace method, the natural frequency of the bridge arch rib, damping ratios and vibration mold parameter was obtained by modal parameter identification of a concrete filled steel tubular arch bridge under ambient excitation, and the Midas Civil finite element software was used to establish a computational model of the bridge. Measured results and calculated results were compared, and the reliability of the identification results have been verified, the identified dynamic properties can be served as the basis in the finite element model updating, damage detection, condition assessment and health monitoring of the bridge.
Modal Parameter Identification of Concrete Filled Steel Tube Arch Bridge Based on Stochastic Subspace Method
Advanced Materials Research ; 919-921 ; 325-328
2014-04-17
4 pages
Article (Journal)
Electronic Resource
English
| British Library Conference Proceedings | 2014
| British Library Conference Proceedings | 2011
Dismantling method for concrete-filled steel tube arch bridge
| European Patent Office | 2024