Experimental Dynamic Characterization and Finite-Element Updating of a Footbridge Structure

Cismasiu, Corneliu; Narciso, A. C.; Santos, Filipe Amarante dos

doi:10.1061/(asce)cf.1943-5509.0000615

Cited by 17 publications

(12 citation statements)

References 24 publications

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“…Finite-element models are usually updated by using the modal parameters (Cismas iu et al 2014;Moaveni and Behmanesh 2012). However, when the modal parameters show significant variability with changing environmental factors, the updated model might not be as accurate as required (Bayraktar et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Vibration Monitoring of a Steel-Plated Stress-Ribbon Footbridge: Uncertainties in the Modal Estimation

et al. 2016

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A low-cost vibration-monitoring system was developed and installed on an urban steel-plated stress-ribbon footbridge. The system continuously measures the acceleration [using 18 triaxial microelectromechanical system (MEMS) accelerometers distributed along the structure), the ambient temperature, and the wind velocity and direction. Automated output-only modal parameter estimation based on the stochastic subspace identification (SSI) was carried out to extract the modal parameters (i.e., the natural frequencies, damping ratios, and modal shapes). Thus, this study analyzed the time evolution of the modal parameters over data monitoring for 1 year. First, for similar environmental/ operational factors, the uncertainties associated with the SSI-based techniques used and to the acceleration records used were studied and quantified. Second, a methodology for tracking the vibration modes was established, because several of them with closely spaced natural frequencies were identified. Third, the modal parameters were correlated against external factors. It has been shown that this stress-ribbon structure is highly sensitive to temperature variations (frequency changes of more than 20%) with strongly seasonal and daily trends. Fairly simple dynamic multiple regression models for the lowest persistent vibration modes were derived, and excellent correlations for some of them were obtained. These correlations enable the influence of these uncertainties on modal estimates to be removed, thus facilitating their use as damage-sensitive features.

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Section: Introductionmentioning

confidence: 99%

Vibration Monitoring of a Steel-Plated Stress-Ribbon Footbridge: Uncertainties in the Modal Estimation

et al. 2016

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“…and θ d can be obtained by optimization method such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), etc. with an objective function of Equation (10). Once θ 1 , .…”

Section: Kriging Meta-modelmentioning

confidence: 99%

“…FE analysis is one of the most effective methods used to solve those engineering problems, but due to the complexity of most existing engineering structures, we cannot get a precise model to reflect the behavior of the physical one [7,8]. Not only uncertainties in material and geometric parameters, but also stochastic factors in boundary and load conditions improve the inaccuracy between the FE model and physical one [9][10][11]. By identifying and modifying the uncertain parameters, model updating technique provides an effective way of yielding precise FE model to predict performance of physical structures, to which the engineers have drawn significant attention in recent years.…”

Section: Introductionmentioning

confidence: 99%

FE Model Updating on an In-Service Self-Anchored Suspension Bridge with Extra-Width Using Hybrid Method

Xia

et al. 2017

Applied Sciences

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Nowadays, many more bridges with extra-width have been needed for vehicle throughput. In order to obtain a precise finite element (FE) model of those complex bridge structures, the practical hybrid updating method by integration of Gaussian mutation particle swarm optimization (GMPSO), Kriging meta-model and Latin hypercube sampling (LHS) was proposed. By demonstrating the efficiency and accuracy of the hybrid method through the model updating of a damaged simply supported beam, the proposed method was applied to the model updating of a self-anchored suspension bridge with extra-width which showed great necessity considering the results of ambient vibration test. The results of bridge model updating showed that both of the mode frequencies and shapes had relatively high agreement between the updated model and experimental structure. The successful model updating of this bridge fills in the blanks of model updating of a complex self-anchored suspension bridge. Moreover, the updating process enables other model updating issues for complex bridge structures.

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“…These methods first identify the uncertain parameters through a comprehensive sensitivity analysis and systematically change the parameters to minimise the discrepancies between FE model and test data often conducted using an iterative procedure. Several successful case studies can be found in literature using automated sensitivity based model calibration methods predominantly in flexible structures such as footbridges, long-span highway bridges, bridge towers and tall buildings [13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Toward effective structural identification of medium-rise building structures

Nguyễn

Kodikara

Thambiratnam

2017

J Civil Struct Health Monit

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Structural Identification (St-Id) is the process of constructing and calibrating a physics-based model based on the measured static and/or dynamic response of the structure. Over the last two decades, although the St-Id methods have become increasingly popular amongst civilstructural engineering communities, most complete and successful applications are often found with flexible structures such as long-span bridges and towers. Very few comprehensive studies were reported on building structures, especially those with medium-rise characteristics which are often associated with complicated analytical modelling and different degrees of parameter uncertainties. To address this need, this paper presents an in-depth study on St-Id of a benchmark medium-rise building firstly demonstrating the importance of developing appropriate initial analytical models that can be used for the automated model calibration techniques. Then, a novel parametric study based sensitivity analysis approach is introduced to identify tuning parameters as well as their appropriate ranges to maximise the correlation of the calibrated model whilst preserving the physical relevance of the calibrated model. Modal data of the first few modes measured under ambient vibration conditions are used in this study.

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Experimental Dynamic Characterization and Finite-Element Updating of a Footbridge Structure

Cited by 17 publications

References 24 publications

Vibration Monitoring of a Steel-Plated Stress-Ribbon Footbridge: Uncertainties in the Modal Estimation

Vibration Monitoring of a Steel-Plated Stress-Ribbon Footbridge: Uncertainties in the Modal Estimation

FE Model Updating on an In-Service Self-Anchored Suspension Bridge with Extra-Width Using Hybrid Method

Toward effective structural identification of medium-rise building structures

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