Three dimensional numerical simulations of long-span bridge aerodynamics, using block-iterative coupling and DES

2010 ◽  
Vol 39 (9) ◽  
pp. 1549-1561 ◽  
Author(s):  
Yuguang Bai ◽  
Dongke Sun ◽  
Jiahao Lin
Keyword(s):  
Numerical Simulations ◽  
Three Dimensional ◽  
Iterative Coupling ◽  
Long Span ◽  
Long Span Bridge

The Research of Thermosetting Resin Matrix Composite Reinforcing Application in the Web of Truss Bridge

2012 ◽  
Vol 531 ◽  
pp. 638-641
Author(s):  
Li Wei ◽  
Guang Qing Zhou ◽  
Jia Guo Zheng ◽  
Kun Liang Liu
Keyword(s):  
Three Dimensional ◽  
Steel Structure ◽  
Resin Matrix ◽  
Three Dimensional Model ◽  
Finite Element Software ◽  
Concrete Members ◽  
Long Span ◽  
Long Span Bridge ◽  
Resin Matrix Composite ◽  
Truss Bridge

A significant number of concrete members were strengthened by carbon fiber reinforced polymer (CFRP).However there are only a few applications in strengthening steel structure with CFRP. The three-dimensional model of the long span bridge is made by using the finite element software ANSYS and do the force analysis of it ,then make composites reinforcement in order to Improve the structure strength and increase bridge life. The conclusion received of this paper is that composite patch at the end of web is more effective than in the middle of web. By picking up the stress distribution of every layer, the law of stress is obtained.

scholarly journals Tracking of Stiffness Variation in Structural Members Using Input Error Function Observers

2021 ◽  
Vol 11 (24) ◽  
pp. 11857
Author(s):  
Prasad Dharap ◽  
Satish Nagarajaiah
Keyword(s):  
Mathematical Models ◽  
Numerical Simulations ◽  
Structural Damage ◽  
Error Function ◽  
Structural Members ◽  
Input Output ◽  
Long Span ◽  
Long Span Bridge ◽  
Stiffness Variation ◽  
Input Error

This study evaluates input error function observers for tracking of stiffness variation in real-time. The input error function is an Analytical Redundancy (AR)-based diagnosis method and necessitates a mathematical model of the system and system identification techniques. In practice, mathematical models used during numerical simulations differ from the actual status of the structure, and thus, accurate mathematical models are rarely available for reference. Noise is an unwanted signal in the input–output measurements but unavoidable in real-world applications (as in long span bridge trusses) and hard to imitate during numerical simulations. Simulation data from the truss system clearly indicates the effectiveness of the proposed structural damage detection method for estimating the severity of the damage. Optimization of the input error function can further automate the stiffness estimation in structural members and address critical aspects such as system uncertainties and the presence of noise in input–output measurements. Stiffness tracking in one of the planar truss members indicates the potential of optimization of the input error function for online structural health monitoring and implementing condition-based maintenance.

Handling and Shipping of Long Span Bridge Beams

PCI Journal ◽  
1987 ◽  
Vol 32 (6) ◽  
pp. 86-101 ◽  
Author(s):  
George Laszlo ◽  
Richard R. Imper
Keyword(s):  
Long Span ◽  
Long Span Bridge ◽  
Bridge Beams

scholarly journals Test Research on Toughness Evaluation of Long-span Bridge Welded Joint

2021 ◽  
Vol 787 (1) ◽  
pp. 012192
Author(s):  
Changqing Wu ◽  
Qiming Yu ◽  
Botao Zhu ◽  
Huangyi Ling ◽  
Jiaqi Zheng ◽  
...  
Keyword(s):  
Welded Joint ◽  
Long Span ◽  
Long Span Bridge ◽  
Toughness Evaluation
Sign in / Sign up

Export Citation Format

Share Document