Flexibility identification and deflection prediction of a three-span concrete box girder bridge using impacting test data

Tian, Yongding; Zhang, Jian; Xia, Qi; Li, Panjie

doi:10.1016/j.engstruct.2017.05.039

Cited by 28 publications

(13 citation statements)

References 20 publications

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“…VITs are then conducted using OSP locations to extract modal information for FE model updating. A review of the scientific literature related to the dynamic characterization of bridges under different excitation techniques allows the identification of the most influential parameters [ 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ], which are bridge typology, main span length (L), excitation source, sensor-to-sensor separation distance, time-series length, and sampling frequency. Figure 5 shows the distribution of the variables as a function of the main span length L. It is possible to observe that the excitation sources most widely used are ambient and vehicles, the sensor separation distance mainly ranges from L/4 to L/9, the sampling frequency ranges from 100 and 256 Hz, and the time-series length ranges from 1.5 and 15 min.…”

Section: Preliminary Analysis For Influential Parametersmentioning

confidence: 99%

Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete Bridges

Hernandez

Viviescas

Riveros-Jerez

2022

Sensors

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In-service prestressed concrete box girder bridges have received increasing attention in recent years due to a large number of bridges reaching decades in service. Therefore, the ageing of infrastructure demands the development of robust condition assessment methodologies based on affordable technology such as vehicle-induced vibration tests (VITs) in contrast with more expensive existing technologies such as tests using hammers or shakers. Ambient vibration tests (AVTs) have been widely used worldwide, taking advantage of freely available ambient excitation sources. However, the literature has commonly reported insufficient input energy to excite the structure to obtain satisfactory modal identification results, especially in long-span concrete bridges. On the other hand, the use of forced vibration tests (FVTs) requires more economic resources. This paper presents the results of field measurements at optimally selected locations in VITs consisting of a 32-ton truck and a springboard with a height of 50 mm. AVTs using optimal sensor placement (OSP) provide similar results to VITs without considering OSP locations. Additionally, the VIT/AVT cost ratio is reduced to 2 since a shorter data collection time is achieved within a one-day (8 h) test framework, which minimizes temperature effects, thus leading to improvements in AVT identification results, especially in vertical modes.

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Section: Preliminary Analysis For Influential Parametersmentioning

confidence: 99%

Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete Bridges

Hernandez

Viviescas

Riveros-Jerez

2022

Sensors

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“…Los sensores de fibra óptica también han sido muy empleados para estudiar deformaciones [25], [26], [27], [28], [29] y flechas [30], [31], [32], [33], [34], [35], [36], objeto de este artículo.…”

Section: Introductionunclassified

Influence of the cracking moment of two reinforced concrete beams obtained through fiber optic sensors in the determination of their instant deflections = Influencia del momento de fisuración de dos vigas de hormigón armado obtenido mediante sensores de fibra óptica en la determinación de sus flechas instantáneas

Díaz¹

2021

BMA

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This article investigates the measurement of the real instantaneous deflection using a displacement transducer, and with fiber optic sensors embedded and welded to the corrugated rebars in order to determine the real cracking moment of the concrete. Two reinforced concrete beams simply resting on the support with point loading in the center of the span have been tested, at which point the maximum deflection is reached. Both the sensors and the displacement transducer have been placed in the center of the span. Different loading steps have been applied to the beams, using a loading cylinder, and the measurement of the load applied has been determined using a loading cell. During the loading process of the beams, the real moment at which they cracked has been determined, and which determines the change from the gross inertia to the cracked inertia in the study of the deflections. Two expressions have been deduced that modify the formula of the instantaneous deflection and demonstrate that they are valid to determine in a much more precise way the instantaneous deflections on simply resting on the support concrete beams. Future lines of research will concentrate on studying the instantaneous deflections of more complex beams, and thus obtain expressions that more closely approximate their actual behaviour.

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“…A sledgehammer is a well‐known excitation device, generating high‐frequency band impacting forces; however, its main drawback is that the magnitudes of impacting forces are relatively low (below 20 kN), which cannot be employed in order to fully excite the interested frequency band of a bridge (Tian et al., ). In order to tackle this limitation, a vehicle‐mounted excitation device with drop weight was developed, which can induce impact forces with large magnitudes (around 100 kN) and high‐frequency band (0–200 Hz) (Catbas et al., ; Zhang et al., ).…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, many algorithms were developed for structural modal properties identification, such as modal responses‐based method (Oh et al., ), modal identification using orthogonality of filtered response vectors (Kim et al., ), discretized synchro‐squeezed wavelet and Hilbert transforms (Li et al., ), MUltiple SIgnal Classification (MUSIC) (Amezquita‐Sanchez and Adeli, ; Amezquita‐Sanchez et al., ), entropy‐based model identification method (Yin et al., ), and dynamic wavelet neural network (Jiang and Adeli, ). Besides, several algorithms were developed for processing the impact‐testing data, such as complex mode indicator function (CMIF), PolyMAX, subspace identification (SI) (Zhang et al., ; Tian et al., ; Sun et al., ; Karami and Akbarabadi, ; Li et al., ), among others. Both CMIF and PolyMAX methods belong to frequency domain parameter identification, and they can be used for a single impact force.…”

Section: Introductionmentioning

confidence: 99%

Rapid Impact Testing and System Identification of Footbridges Using Particle Image Velocimetry

Tian

Zhang

2018

Computer aided Civil Eng

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The rapid impact testing of bridges contains unique advantages. For example, structural parameters, including frequency response function and structural flexibility matrix can be identified; however, additional impact-testing instruments are required to excite a bridge, restricting the efficiency of the measurement strategy in terms of experimental cost and time. In this paper, a particle image velocimetry-based method is proposed for the rapid impact testing and system identification of footbridges under pedestrian excitations. The proposed method has shown promising features: (1) pedestrian load is utilized for the impact excitation of footbridges, which is more convenient than the conventional impacttesting method with additional excitation devices; (2) the human-induced impact forces under varying jumping scenarios are calculated from image sequences of human motions acquired by a single camera with its noncontact and target-less characteristics; and (3) both humaninduced impact forces (inputs) and structural responses (outputs) are employed to identify more modal parameters (i.e., scaling factors, modal mass, and structural flexibility). The robustness of the proposed method was successfully validated by a laboratory test of a simply supported beam and field testing of a cable-stayed footbridge. The proposed method not only could improve

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Flexibility identification and deflection prediction of a three-span concrete box girder bridge using impacting test data

Cited by 28 publications

References 20 publications

Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete Bridges

Vehicle Bump Testing Parameters Influencing Modal Identification of Long-Span Segmental Prestressed Concrete Bridges

Rapid Impact Testing and System Identification of Footbridges Using Particle Image Velocimetry

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