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Identification of the Baseline Modal Parameters of the Carquinez Suspension Bridge Using Ambient Vibration Data

by Raimondo Betti and Ah Lum Hong

Raimondo Betti, Ah Lum Hong (2008). Identification of the Baseline Modal Parameters of the Carquinez Suspension Bridge Using Ambient Vibration Data. SMIP08 Seminar on Utilization of Strong-Motion Data, p. 63 - 82.

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Abstract

The identification of modal parameters has been performed for the New Carquinez suspension bridge in California. By using multiple ambient vibration data sets recorded through a wind-motion monitoring system in the bridge, the baseline modal parameters were obtained in order to investigate dynamic behavior of the bridge in operating conditions. For the modal parameters identification, the data-driven stochastic subspace identification technique was implemented. For each data set, the modal parameters for structural modes were estimated by examining the estimation error between measured data and reconstructed one from the identified modes. Based on the results, variability of the identified modal parameters was also investigated.