Numerical Simulation and Analysis of Influencing Factors for External Prestressed Reinforcement of Bridges

Jump To References Section

Authors

  • School of Civil Engineering, Changsha University of Science and Technology, Changsha ,CN

Keywords:

Bridge, External Prestressing Reinforcement, Numerical Simulation ANSYS.

Abstract

External prestressing reinforcement belongs to active reinforcement field. Many researches on this technique have been done at home and abroad, but the numerical simulation is rare. In this paper, ANSYS is used to simulate the process of external prestressing reinforcement, and the influence of reinforcement method, effective prestress and reinforcement time on the reinforcement effect is analyzed. With the increase of tension-controlled stress, the reinforcement effect of simply supported beam is gradually enhanced, but the excessive tensile force can easily lead to the high stress state of anchoring end and external tendons, which is disadvantageous to the structure. With the delay of strengthening time, the cracking load and ultimate load are gradually reduced, and the reinforcement effect is gradually reduced. Therefore, in order to prolong the service life of the structure, it is necessary for the structure to carry on the timing inspection, discover the problem in time, and carry on the maintenance and reinforcement to the structure.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Downloads

Published

2022-10-23

How to Cite

Jun, L. (2022). Numerical Simulation and Analysis of Influencing Factors for External Prestressed Reinforcement of Bridges. Journal of Mines, Metals and Fuels, 66(9), 681–689. Retrieved from https://informaticsjournals.com/index.php/jmmf/article/view/31783

 

References

Ren W, Sneed L H, Yang Y, et al (2015): “Numerical Simulation of Prestressed Precast Concrete Bridge Deck Panels using Damage Plasticity Model”. International Journal of Concrete Structures & materials, 9(1), 45-54.

Han J, Song Y, Wang L, et al (2015): “Residual strain analysis of non-prestressed reinforcement in PPC beams under fatigue loading”. materials & Structures, 48(6), 1785-1802.

Sritharan S, Cox A M, Huang J, et al (2016): “Minimum confinement reinforcement for prestressed concrete piles and a rational seismic design framework”. pci Journal, 61(1), 51-69.

Choun Y S, Park J (2015): “Evaluation of seismic shear capacity of prestressed concrete containment vessels with fiber reinforcement”. Nuclear Engineering & Technology, 47(6), 756-765.

Hussain Q, Pimanmas A, Hussain Q, et al (2015): “Shear Strengthening of RC Deep Beams with Sprayed Fiber-reinforced Polymer Composites (SFRP): Part 2 Finite Element analysis”. Latin American Journal of Solids & Structures, 12(7), 1266-1295.

Liu X G, Fan J S, Nie J G, et al (2015): “Experimental and analytical studies of prestressed concrete girders with corrugated steel webs”. materials & Structures, 48(8), 2505-2520.

Bazne M O A, Vahedifard F, Shahrokhabadi S (2015): “The Effect of Geonet Reinforcement on Bearing Capacity of Low-Compacted Soft Clay”. Transportation Infrastructure Geotechnology, 2(1), 47-63.

Hajali M, Alavinasab A, Shdid C a (2015): “Effect of the location of broken wire wraps on the failure pressure of prestressed concrete cylinder pipes”. Structural Concrete, 16(2), 297-303.

Sun R, Sevillano E, Perera R (2015): “A discrete spectral model for intermediate crack debonding in FRP-strengthened RC beams”. Composites part B Engineering, 69(2015), 562-575.

Wang G, Liu C, Jiang Y, et al (2015): “Rheological Model of DMFC Rockbolt and Rockmass in a Circular Tunnel”. Rock mechanics & Rock Engineering, 48(6), 2319-2357.

Schneider R, Fischer J, Bügler M, et al (2015): “Assessing and updating the reliability of concrete bridges subjected to spatial deterioration – principles and software implementation”. Structural Concrete, 16(3), 356-365.

DENG Libin, WU Fangbo, ZHOU Xuhong (2015): “Parametric analysis of fire-resistant behavior of prestressed precast component composite slab”. Fire Safety Science, 51(12), 2816-2817.