Fatigue Testing and Performance of Welded Single-Support Bar Modular Bridge Joints

Guizani, Lotfi; Bonnell, William; Chaallal, Omar

doi:10.1061/(asce)be.1943-5592.0000661

Cited by 9 publications

(3 citation statements)

References 6 publications

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“…With numerous components and intricate connections, many parameters affect the fatigue failure of expansion joints, making failure modes difficult to predict. L. Guizani et al [8] conducted fatigue tests on modular expansion joint components, establishing experimental S-N curves for key components and examining the effects of failure modes and geometric parameters like floor thickness on antifatigue performance.…”

Section: Introductionmentioning

confidence: 99%

Structural finite element modeling and static analysis of the bridge modular expansion joint under vehicle load

Zhang,

Chen,

Zhou

2024

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVIII

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Expansion joints are a crucial component of bridges, influencing not only the force state, service performance, and operational safety of the structures but also playing a substantial role in ensuring the comfort and safety of traffic on the bridge deck. This paper investigates the static mechanical responses of bridge modular expansion joints using a full-scale 3D solid finite element (FE) analysis method. Firstly, the working mechanism, force transmission path, and influencing factors of the modular expansion joint are analyzed. Secondly, a full-size 3D solid finite model of the modular expansion joint is established using ANSYS FE software and APDL parametric modeling. The model incorporates the actual structure, force transmission path, contact effects, and boundary conditions of the expansion joint. Then, the load size and action position of typical vehicles on the joint are analyzed to obtain adverse vehicle action. Finally, the force state of the modular expansion joint under vehicle load using the 3D solid FE model is calculated and discussed. This paper proposes a precise FE analysis method for the complex stress state calculation of bridge modular expansion joints, providing theoretical and technical support for damage identification, state evaluation, and safety assessment of such joints, and can also be learned and used for other types of bridge expansion joints.

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Section: Introductionmentioning

confidence: 99%

Structural finite element modeling and static analysis of the bridge modular expansion joint under vehicle load

Zhang,

Chen,

Zhou

2024

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVIII

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show abstract

“…The main reasons are the repeated expansion of bridge expansion joints and vehicle impact. Many scholars have studied bridge expansion joints, including the position of damage, dynamic characteristics, and other factors [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 ]. Modal bridge expansion joints (MBEJs) are common bridge expansion joints with a simple design, good water resistance, and confinement.…”

Section: Introductionmentioning

confidence: 99%

Sound Damage Detection of Bridge Expansion Joints Using a Support Vector Data Description

Yang

2023

Sensors

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A novel method is proposed for the damage identification of modal bridge expansion joints (MBEJs) based on sound signals. Two modal bridge expansion joint specimens were fabricated to simulate healthy and damaged states. A microphone was used to collect the impact signals from different specimens. The wavelet packet energy ratio of the sound signal was used to identify the difference in specimen state. Firstly, the wavelet packet energy ratio was used to establish the feature vectors, which were reduced dimensionality using principal component analysis. Subsequently, a support vector data description model was established to detect the difference in the signals. The identification effects of three parameter optimization methods (particle swarm optimization, genetic algorithm optimization, and Bayesian optimization) were compared. The results showed that the wavelet packet energy ratio of sound signals could effectively distinguish the state of the support bar. The support vector data description of Bayesian optimization worked best, and the proposed method could successfully detect damage to the support bar of MBEJs with an accuracy of 99%.

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“…The MBEJs have been used on the large-span bridges to accommodate high movements and support large dynamic wheel loads [ 1 , 2 , 3 ]. In addition, the MBEJs can protect the underlying superstructure from rainwater infiltration.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Fatigue Damage of Modular Bridge Expansion Joints Using Piezoceramic Transducers

Jiang

Zhang

Wang

et al. 2018

Sensors

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Modular bridge expansion joints (MBEJs) are commonly used in bridges and are often subjected to fatigue damages, which necessitate fatigue monitoring of MBEJs to ensure the reliable operation of the bridges. In this paper, a stress wave based active sensing approach using piezoceramic transducers is developed to monitor the fatigue damage of MBEJ. A MBEJ involves mainly center beam, edge beam, support bar, support box, sliding bearing, sliding spring, elastomeric strip seal, full-penetration weld and reinforcing plate. In practice, for a MBEJ, the part that is most prone to fatigue damage is the full-penetration weld between the center beam and the support bar. In this paper, a specimen, which is the full-scale center-beam/support-bar (CB/SB) assembly, was designed and fabricated to facilitate the experimental study. The assembly mainly includes center beam, support bar, reinforcing plate, and full-penetration weld. The lead zirconate titanate (PZT) transducer bonded on the support bar was used as the actuator and the PZT transducer mounted on the center beam was as the sensor. Dial indicators were utilized to measure the vertical displacement of the center beam. Two series of tests, including static test, and fatigue test, were performed on the specimen in an alternating fashion. Based on the number of cyclic loading, the experiment was divided into six different stages: 0th cycle (the healthy state), 0.8 million cycles, 1.6 million cycles, 2.4 million cycles, 3.2 million cycles, and 4 million cycles. The signals received by the PZT sensor were analyzed with the help of wavelet packet analysis. In addition, the structure stiffness also was considered as a comparative approach in this paper. Experimental results show that during the fatigue test, the structure stiffness decreases with the number of cycle loading. However, the method can only obtain the fatigue damage impact on the entire structure, and cannot determine the fatigue damage degree of a certain weld. On the other hand, the proposed method can accurately monitor the fatigue damage degree of full-penetration welds. The research results show that the developed piezoceramic enabled active sensing approach can monitor and estimate the fatigue damage in MBEJ in real-time.

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Fatigue Testing and Performance of Welded Single-Support Bar Modular Bridge Joints

Cited by 9 publications

References 6 publications

Structural finite element modeling and static analysis of the bridge modular expansion joint under vehicle load

Structural finite element modeling and static analysis of the bridge modular expansion joint under vehicle load

Sound Damage Detection of Bridge Expansion Joints Using a Support Vector Data Description

Monitoring Fatigue Damage of Modular Bridge Expansion Joints Using Piezoceramic Transducers

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