Modeling and Dynamic Characteristics Analysis of the Qiantangjiang Rail-Cum-Road Bridge

2014 ◽  
Vol 501-504 ◽  
pp. 1187-1193 ◽  
Author(s):  
Hui Wang ◽  
He Xia ◽  
Jia Wang Zhan

The dynamic characteristics of the Qiantangjiang rail-cum-road steel truss bridge is to analyzed by the Beam elements Midas model, beam-Plate element Midas model and plate element Ansys model, and the calculated results are compared with the field experiment data. The natural frequencies and mode shapes simulated with the plate element Ansys model are much closer to the experimental ones, indicating it can more accurately simulate the dynamic characteristics of steel truss structure. The results can provide a reference for modeling the steel truss bridges, and as the foundation of further static and dynamic analyses.

2012 ◽  
Vol 204-208 ◽  
pp. 2135-2138 ◽  
Author(s):  
Zhi Jie Sun

Through theoretical calculation, systemic analysis of dynamic performance of the 64m single and double line railway steel truss bridges on the different speed of train loads. Contrast and analysis the main dynamic performance parameters of bridges on the differend speed. In 64m steel truss bridges in Heavy-Haul Coal Line application practice proves that the deflection of the bridge to the speed is insensitive. The vertical acceleration and horizontal acceleration is sensitive to speed. The speed 80km/h is the speed which lead to the maximum vertical acceleration of the single line and double line in light-load condition.


2019 ◽  
Vol 24 (No 1) ◽  
pp. 56-67
Author(s):  
Kundan Kumar ◽  
Prabir Kumar Biswas ◽  
Nirjhar Dhang

In this paper, we propose a damage detection and localization algorithm for steel truss bridges using a data-driven approach under varying environmental and loading conditions. A typical steel truss bridge is simulated in ANSYS for data generation. Damage is introduced by reducing the stiffness of one or more members of the truss bridge. The simulated acceleration time-history signals are used for the purpose of damage diagnosis purpose. Vibration data collected from healthy bridges are processed through principal component analysis (PCA) to find the reduced size weighted feature vectors in model space. Unknown test vibration data (healthy or damaged) finds the closest match of its reduced size model from the training database containing only healthy vibration data. The residual error between the spread of closest healthy vibration data and unknown test vibration data is processed to determine damage location and severity of the damage to the structure. A comparative study between a proper orthogonal decomposition (POD) based damage detection algorithm and proposed algorithm is presented. The results show that the proposed algorithm is efficient to identify the damage location and assess the severity of damage, called as the Damage Index (DI), under varying environmental and moving load conditions.


2011 ◽  
Vol 99-100 ◽  
pp. 383-387 ◽  
Author(s):  
Qun Wei ◽  
Hua Jiang ◽  
Sheng Ji Li

The design and construction of the stiffening steel truss bridges is a complex and large-scale professional program. The abstract of the plans and the weaknesses of the view angles to the design sketch will also become limitations to the owners and the decision makers. Based on the project of River Baling Bridge of large stiffening steel truss girders, this study creates a three-dimensional fine model for it via CAD, pre-assembles each parts of the bridge, and checks sections and dockings one to one correspondingly. Data conversion of this model directly generates virtual visualized model. This visualized fine model of River Baling Bridge provides decision makers with a visual analysis platform, which also offers technical guarantee and support for sensible decision makings.


2015 ◽  
Vol 220-221 ◽  
pp. 132-135
Author(s):  
Darius Bačinskas ◽  
Artūras Kilikevičius ◽  
Paulius Ragauskas

The study results of the historic narrow-gage railway steel truss bridge built in the last century and still used are provided in this paper. Only one of the spans results is provided herein. Field tests with the original locomotive were carried out in order to develop an analytical model that will be used to evaluate the capacity of the bridge. Responses (dynamic displacements, accelerations, mode shapes, corresponding to the resonance frequencies and modal damping values) for the construction of the bridge were found. Studies have shown that the bridge meets the requirements and has enough reserve to work safely.


2013 ◽  
Vol 405-408 ◽  
pp. 1500-1503 ◽  
Author(s):  
Zhi Jie Sun ◽  
Yong Qian Liu

Combine the specific bridge, an analytical on the bridges static performance studied through the finite element model analysis and field test method. Summary and analyze the displacement and stress variation law of the main truss, longitudinal beams and beams which the bolt and weld superstructure steel truss bridges are effected by static loads, and compared field test results with theory value. Application practice proves that the evaluation standard and inspection of steel truss bridge is appropriate.


2017 ◽  
Vol 13 ◽  
pp. 148
Author(s):  
Michal Venglar ◽  
Milan Sokol ◽  
Monika Marfoldi

The paper deals with a preparation of a complex FEM model for a local damage detection. The initial verified and validated three-dimensional FEM model of a steel truss bridge in laboratory is revised step-by-step to achieve the accurate model according to the experimental model. The emphasis is on modelling of the joints with 4 rivets and modelling of correct boundary conditions, as well as mass parameters and cross-section dimensions.A modal analysis of the structure is performed in FEM software. Many experimental measurements were made to correctly revise the FEM model. The calculated natural frequencies are compared with the measured ones. In addition, mode-shapes from the calculation are validated with the measured mode-shapes. The difference between the prepared FEM model and the measured specimen is small enough after a few steps of tuning. The verified, validated and revised numerical model can be used in future for a local damage detection.


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