Finite-Element Model Updating and Dynamic Responses of Reconstructed Historical Timber Bridges using Ambient Vibration Test Results

Altunışık, Ahmet Can; Kalkan, Ebru; Okur, Fatih Yesevi; Karahasan, Olguhan Şevket; Özgan, Korhan

doi:10.1061/(asce)cf.1943-5509.0001344

Cited by 16 publications

(4 citation statements)

References 21 publications

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“…It is determined that the damping ratio in the flow direction and vertical direction is 7.67% and 4.68%, respectively. Manual and automatic updating approaches are used in the validation of masonry structures [41]. In this study, manual updating method is used.…”

Section: Operational Modal Analysis (Oma)mentioning

confidence: 99%

Linear/Nonlinear Dynamic Analysis and Prediction of Failure Mechanism of Irgandi Bridge

Sakcali

Gönül

Bağbancı

et al. 2022

Period. Polytech. Civil Eng.

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The goal of this study is to investigate the behavior and failure mechanism of historical Irgandi Bridge located in Bursa City under earthquake loads by using linear and nonlinear dynamic analysis. Dynamic characteristics of the bridge is investigated by using in-situ Operational Modal Analysis (OMA) tests. The finite element model is updated according to the OMA tests. Three different artificial earthquake records from weak to very strong are applied to the model for understanding the damage zones and the failure mechanism of the historical bridge. The results show that the bridge does not reach the failure mechanism under weak earthquakes for nonlinear dynamic analysis. However, under strong earthquake even if damage zones are occurred and the stiffness of the bridge is decreased, there is no failure mechanism observed according to the nonlinear dynamic analyses. Under very strong earthquake loads the bridge reaches the failure mechanism according to the nonlinear dynamic analysis. As the earthquake level increases, the difference between linear and nonlinear dynamic analysis results increases due to structural damages. In addition, considering the soil-structure interactions, it is concluded that the dynamic characteristics could be reflected more accurately.

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Section: Operational Modal Analysis (Oma)mentioning

confidence: 99%

Linear/Nonlinear Dynamic Analysis and Prediction of Failure Mechanism of Irgandi Bridge

Sakcali

Gönül

Bağbancı

et al. 2022

Period. Polytech. Civil Eng.

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“…Ako se u obzir uzme veći broj parametara, preporučuju se automatizirane metode. Njihovom primjenom može se postići razlika manja od 1 % između analiziranih vrijednosti modela i eksperimenta [7]. U nastavku, u prvom dijelu dan je prikaz najčešće korištenih metoda usporedbe i korelacije eksperimentalno i numerički dobivenih rezultata.…”

Section: Uvodunclassified

Hybrid model updating based on structural health monitoring in structural dynamics

Ereiz¹,

Duvnjak²

2019

6th Symposium on Doctoral Studies in Civil Engineering

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Razvojem opreme za eksperimentalna istraživanja omogućuje se vrlo brzo i precizno određivanje dinamičkih parametara konstrukcije kao što su vlastite frekvencije, modalni oblici i koeficijenti prigušenja. Dobivene vrijednosti moguće je koristiti za poboljšanje numeričkih modela s ciljem približavanja rezultata realnom ponašanju konstrukcija. Poznato je da zbog nepoznatih ulaznih parametra kao što su krutosti, masa i rubni uvjeti dobivamo nepouzdane numeričke modele. U radu dan je pregled metoda usporedbe eksperimentalno i numerički dobivenih skupova podataka te metoda koje se najčešće primjenjuju prilikom poboljšanja numeričkih modela. Istaknute su osnovne metode temeljene na vlastitim frekvencijama i modalnim oblicima te njihove izvedenice.

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“…In addition, powerful finite element analysis tools have been used for the FE model of structures such as: ANSYS, ABAQUS, SAP2000, MIDAS and SOFISTIK software that are connected to interface with other programming languages including MATLAB and PYTHON software, in which the excellent optimisation methods can be implemented into the FE modeling automatically. For a more detailed explanation of the modal identification of the historical timber bridge, the SSI method and Bayesian parameter estimation for the FE model were extracted in the SAP2000 software [21]. The Bayesian FE model update was performed on the twin cable-stayed bridge FE model using the MATLAB toolbox [22].…”

Section: Introductionmentioning

confidence: 99%

Finite element model updating of steel-concrete composite bridge: A study case of the Ruri bridge in Vietnam

2023

Archives of Civil Engineering

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The study presents the finite element (FE) model update of the existing simple-spans steelconcrete composite bridge structure using a particle swarm optimisation (PSO) and genetic algorithm (GA) approaches. The Wireless Structural Testing System (STS-WiFi) of Bridge Diagnostic, Inc. from the USA, implemented various types of sensors including: LVDT displacement sensors, intelligent strain transducers, and accelerometers that the static and dynamic historical behaviors of the bridge structure have been recorded in the field testing. One part of all field data sets has been used to calibrate the cross-sectional stiffness properties of steel girders and material of steel beams and concrete deck in the structural members including 16 master and slave variables, and that the PSO and GA optimisation methods in the MATLAB software have been developed with the new innovative tools to interface with the analytical results of the FE model in the ANSYS APDL software automatically. The vibration analysis from the dynamic responses of the structure have been conducted to extract four natural frequencies from experimental data that have been compared with the numerical natural frequencies in the FE model of the bridge through the minimum objective function of percent error to be less than 10%. In order to identify the experimental mode shapes of the structure more accurately and reliably, the discrete-time state-space model using the subspace method (N4SID) and fast Fourier transform (FFT) in MATLAB software have been applied to determine the experimental natural frequencies in which were compared with the computed natural frequencies. The main goal of the innovative approach is to determine the representative FE model of the actual bridge in which it is applied to various truck load

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Finite-Element Model Updating and Dynamic Responses of Reconstructed Historical Timber Bridges using Ambient Vibration Test Results

Cited by 16 publications

References 21 publications

Linear/Nonlinear Dynamic Analysis and Prediction of Failure Mechanism of Irgandi Bridge

Linear/Nonlinear Dynamic Analysis and Prediction of Failure Mechanism of Irgandi Bridge

Hybrid model updating based on structural health monitoring in structural dynamics

Finite element model updating of steel-concrete composite bridge: A study case of the Ruri bridge in Vietnam

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