Dynamic finite element model updating of prestressed concrete continuous box-girder bridge

Lin, Xin; Zhang, Lingmi; Guo, Quanquan

doi:10.1007/s11803-009-8127-3

Cited by 19 publications

(11 citation statements)

References 8 publications

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“…Most of bridge FEMU studies have been based on operational modal frequencies and mode shapes from ambient vibration tests using accelerometers for various bridge types: suspension bridge [1], [2], cable-stayed bridge [3], [4], Pre Stressed Concretre (PSC) box-girder bridge [5], [6], and arch bridge [7], [8]. Accelerometers were widely used due to their ease of use in the field.…”

Section: Context Of Current Studymentioning

confidence: 99%

Boundary condition focused finite element model updating for bridges

Hester

Koo

et al. 2019

Engineering Structures

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This paper pays specific attention to measuring and identifying the behaviour of the bridge bearings of a short span highway bridge, as well as the static and dynamic data commonly used for model updating. This is important because while it is widely accepted that correct simulation of boundary conditions in a Finite Element (FE) model is crucial to the accuracy of the model, few researchers have actually attempted to measure bearing movement as part of their model updating strategy. To demonstrate the approach and the benefits of tracking bearing movement two separate updated FE models of the bridge were developed; (i) was updated using dynamic performance information, and (ii) was updated using response to quasi-static loading. The inclusion of bearing behaviour data proved to be very important, as in (i) it was found that during ambient vibration testing with low level dynamic response to light traffic, the friction on the bridge bearings was such that they were effectively behaving as 'pinned-pinned', as opposed to 'pinned-roller' as indicated by the bridge drawings. Using this observation it was possible to get the updated model (i) to match very closely with the experimentally measured frequencies and mode shapes. Without this information, conventional model updating optimisation would likely have driven the system parameters (e.g. Young's modulus, deck mass) to unrealistic values in order to get the FE predictions to match the experimentally observed frequencies. For the static model (ii) it was again observed that friction on the bearing was playing a significant role in the behaviour of the bridge and this was exploited to develop a simple but effective updated FE model that accurately predicted the bridge response during two separate static load tests. No single FE model could represent the bridge for both types of loading but in both cases the bearing performance data were critical in getting the relevant model to match the experimentally observed values.

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Section: Context Of Current Studymentioning

confidence: 99%

Boundary condition focused finite element model updating for bridges

Hester

Koo

et al. 2019

Engineering Structures

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“…Heterogeneous data in previous studies for FEMU includes modal properties [2,3,9,12], deflection including strain [13,15,16,21]. The modal properties, deflection and strain with a load test have been widely used, while the rotational angle at supports has been recently investigated [14,22,23].…”

Section: Research Backgroundsmentioning

confidence: 99%

“…Conventionally, the modal properties have been widely used for FEMU, since modal properties can be readily extracted from ambient vibration tests [3,4]. The FEMU using natural frequencies and mode-shapes have been applied to suspension bridges [5,6], cable-stayed bridges [3,7], pre-stressed concrete girder bridges [8,9,10] and steel-box girder bridge [11]. To improve the results of FEMU, model flexibility [12] has been also investigated.…”

Section: Introductionmentioning

confidence: 99%

A Sequential Framework for Improving Identifiability of FE Model Updating Using Static and Dynamic Data

Kim¹,

Kim

Park

et al. 2019

Sensors

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By virtue of the advances in sensing techniques, finite element (FE) model updating (FEMU) using static and dynamic data has been recently employed to improve identification on updating parameters. Using heterogeneous data can provide useful information to improve parameter identifiability in FEMU. It is worth noting that the useful information from the heterogeneous data may be diluted in the conventional FEM framework. The conventional FEMU framework in previous studies have used heterogeneous data at once to compute residuals in the objective function, and they are condensed to be a scalar. In this implementation, it should be careful to formulate the objective function with proper weighting factors to consider the scale of measurement and relative significances. Otherwise, the information from heterogeneous data cannot be efficiently utilized. For FEMU of the bridge, parameter compensation may exist due to mutual dependence among updating parameters. This aggravates the parameter identifiability to make the results of the FEMU worse. To address the limitation of the conventional FEMU method, this study proposes a sequential framework for the FEMU of existing bridges. The proposed FEMU method uses two steps to utilize static and dynamic data in a sequential manner. By using them separately, the influence of the parameter compensation can be suppressed. The proposed FEMU method is verified through numerical and experimental study. Through these verifications, the limitation of the conventional FEMU method is investigated in terms of parameter identifiability and predictive performance. The proposed FEMU method shows much smaller variabilities in the updating parameters than the conventional one by providing the better predictions than those of the conventional one in calibration and validation data. Based on numerical and experimental study, the proposed FEMU method can improve the parameter identifiability using the heterogeneous data and it seems to be promising and efficient framework for FEMU of the existing bridge.

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“…The GA was selected as the optimization algorithm because of the presence of multiple local optimums in the search space. In this sense, GA were used by Xiankun [10] to update the Southbound Tongyang Canal Bridge, a prestressed concrete continuous box girder bridge, from natural frequencies and MAC criteria. Jaishi et al [11] employed gradient-based optimization to update the FEM of a concrete-filled steel tubular half-through tied-arch bridge located in Xining (China).…”

Section: Introductionmentioning

confidence: 99%

Updating the finite element model of a Colombian Bridge with Ansys

Gutierrez

Rodríguez

Díaz

et al. 2020

DYNA

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Updating structural model is a knowledge field that have been studied in the last decades to guarantee the reliability on the model defined to represent the behavior of a structure, but generally implies the use of different software to carry out the different parts of the process. This paper presents the updating of the finite element model of a curve-alignment reinforced concrete bridge located near to the city of Ubaté in Colombia by using the optimization tool available in software Ansys and ambient vibration measurements. The use of such type of information avoids to carry out forced-vibration test, which affect the normal operation of the bridge. The objective function corresponds to the minimization of the error between analytical and experimental natural frequencies of the bridge. The design variables correspond to the material properties of the concrete and the elastomeric bearings. Results show that the error was decreased to less than 2%. The sensibility analysis allowed to determine which variables are more sensible to affect the natural frequencies in the structure.

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Dynamic finite element model updating of prestressed concrete continuous box-girder bridge

Cited by 19 publications

References 8 publications

Boundary condition focused finite element model updating for bridges

Boundary condition focused finite element model updating for bridges

A Sequential Framework for Improving Identifiability of FE Model Updating Using Static and Dynamic Data

Updating the finite element model of a Colombian Bridge with Ansys

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