Performance assessment of railway multispan steel truss bridge bearing by thermal excitation

2021 ◽  
Author(s):  
Naijie Han ◽  
Weigang Zhao ◽  
Bo Zhang ◽  
Hao Zhang ◽  
Liming Zhou
Keyword(s):  
Performance Assessment ◽  
Thermal Excitation ◽  
Steel Truss Bridge ◽  
Steel Truss ◽  
Truss Bridge ◽  
Bridge Bearing

Deconstruction Monitoring of a Steel Truss Bridge

2017 ◽  
Vol 2642 (1) ◽  
pp. 139-146
Author(s):  
Matthew Yarnold ◽  
Stephen Salaman ◽  
Eric James
Keyword(s):  
Steel Truss Bridge ◽  
Steel Truss ◽  
Truss Bridge

scholarly journals A Bayesian Belief Network method for bridge deterioration detection

2020 ◽  
pp. 1748006X2097922
Author(s):  
Matteo Vagnoli ◽  
Rasa Remenyte-Prescott ◽  
John Andrews
Keyword(s):  
Element Model ◽  
Bayesian Belief Network ◽  
Geographic Area ◽  
Detection Methods ◽  
Health State ◽  
Belief Network ◽  
Steel Truss Bridge ◽  
Steel Truss ◽  
Network Method ◽  
Truss Bridge

Bridges are one of the most important assets of transportation networks. A closure of a bridge can increase the vulnerability of the geographic area served by such networks, as it reduces the number of available routes. Condition monitoring and deterioration detection methods can be used to monitor the health state of a bridge and enable detection of early signs of deterioration. In this paper, a novel Bayesian Belief Network (BBN) methodology for bridge deterioration detection is proposed. A method to build a BBN structure and to define the Conditional Probability Tables (CPTs) is presented first. Then evidence of the bridge behaviour (such as bridge displacement or acceleration due to traffic) is used as an input to the BBN model, the probability of the health state of whole bridge and its elements is updated and the levels of deterioration are detected. The methodology is illustrated using a Finite Element Model (FEM) of a steel truss bridge, and for an in-field post-tensioned concrete bridge.

Vertical Load-Carrying Natural Frequency of Railway Double-Track Steel Truss Continuous Bridge

2011 ◽  
Vol 243-249 ◽  
pp. 1968-1971
Author(s):  
Jian Ying Ren ◽  
Wen Ping Li ◽  
Mu Biao Su
Keyword(s):  
Natural Frequency ◽  
High Speed ◽  
Maximum Deviation ◽  
Vertical Load ◽  
Average Value ◽  
Steel Truss Bridge ◽  
Load Carrying ◽  
Steel Truss ◽  
Truss Bridge ◽  
Double Track

The railway double-track continuous bridge vertical load-carrying frequency is theoretical derived with the vehicle-bridge system mode1. The vertical load-carrying frequencies of the3×64 m through stud welding railway steel truss bridge are calculated, when two trains with 20 same high-speed passenger vehicles are traveling on the bridge from both ends. The change regularity of this double-track continuous bridge vertical load-carrying natural frequency with two trains on it is similar with the single-track simply supported bridge and this bridge vertical load-carrying natural frequency only one train on it. This bridge vertical load-carrying frequency when two train on it is smaller than that only train on it. The maximum deviation percentage between the vertical load-carrying natural frequency and the vertical natural frequency is 6.0452%. The vertical load-carrying frequency can be replaced by the average value.

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