Structural Identification of a Nonproportionally Damped System and Its Application to a Full-Scale Suspension Bridge

Nagayama, Tomonori; Abé, Masato; Fujino, Yozo; Ikeda, Kenji

doi:10.1061/(asce)0733-9445(2005)131:10(1536)

Cited by 57 publications

(30 citation statements)

References 9 publications

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“…without additional stiffness and damping), whereas the other sets of identified modal parameters were regarded as the systems that consist of the additional stiffness damping alongside its girder and near the edge. In the subsequently related research [28], it was found that the contribution of aerodynamic force was much smaller than the effect of friction force at the bearing. The aerodynamic force contribution is in order of one-percent when compared to the contribution of the friction force, and its behavior is in agreement with the aerodynamic force obtained from wind tunnel results.…”

Section: Mode Shape and Modal Phase Anglementioning

confidence: 98%

“…In the inverse analysis [22,28], one set of modal parameters identified from 2-hour measurement was chosen as reference or 'original' (i.e. without additional stiffness and damping), whereas the other sets of identified modal parameters were regarded as the systems that consist of the additional stiffness damping alongside its girder and near the edge.…”

Section: Mode Shape and Modal Phase Anglementioning

confidence: 99%

See 1 more Smart Citation

System identification of suspension bridge from ambient vibration response

Siringoringo

Fujino

2008

Engineering Structures

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221

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Section: Mode Shape and Modal Phase Anglementioning

confidence: 98%

Section: Mode Shape and Modal Phase Anglementioning

confidence: 99%

System identification of suspension bridge from ambient vibration response

Siringoringo

Fujino

2008

Engineering Structures

Self Cite

221

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“…Although ambient vibration tests (AVTs) provide valuable information for structural identification, verification of analytical models [2][3][4][5][6], and understanding the aerodynamic effect on long-span bridges [7,8], the small excitations they produce are not always adequate. Observations show that the dynamic performances of the structures are quite different during relatively small excitations of ambient vibration and during stronger excitations such as ground motion.…”

Section: Introductionmentioning

confidence: 99%

System identification applied to long‐span cable‐supported bridges using seismic records

Siringoringo

Fujino

2007

Earthq Engng Struct Dyn

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SUMMARYThis paper presents the application of system identification (SI) to long-span cable-supported bridges using seismic records. The SI method is based on the System Realization using Information Matrix (SRIM) that utilizes correlations between base motions and bridge accelerations to identify coefficient matrices of a state-space model. Numerical simulations using a benchmark cable-stayed bridge demonstrate the advantages of this method in dealing with multiple-input multiple-output (MIMO) data from relatively short seismic records. Important issues related to the effects of sensor arrangement, measurement noise, input inclusion, and the types of input with respect to identification results are also investigated. The method is applied to identify modal parameters of the Yokohama Bay Bridge, Rainbow Bridge, and Tsurumi Fairway Bridge using the records from the 2004 Chuetsu-Niigata earthquake. Comparison of modal parameters with the results of ambient vibration tests, forced vibration tests, and analytical models are presented together with discussions regarding the effects of earthquake excitation amplitude on global and local structural modes.

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“…In previous studies researchers have readily obtained 23 modes from a similar bridge with a limited number of sensors. Using optimal sensor placement techniques combined with appropriate modal analysis methods, 28 modes is not beyond current capabilities [34]. Fig.…”

Section: Resultsmentioning

confidence: 99%