Fatigue Flexural Performance of Short-Span Reinforced Concrete T-Beams Considering Overloading Effect

Abstract

Traffic volume increase and higher proportion of heavier trucks have raised the potential risk of fatigue failure of short-span reinforced concrete beams. To investigate the fatigue behavior of short-span reinforced concrete beams with and without the overload effect, nine 5 m reinforced concrete T-beams were cast and tested. Two beams were tested under static loading to determine the ultimate strength; the remaining seven beams were subjected to cyclic loading with constant-amplitude load ranges. In addition, two of the seven beams were subjected to instant overloading. It was observed that the typical failure mode under cyclic loading was the fatigue fracture of tensile reinforcing bars. The introduction of instant overloading resulted in a remarkable reduction of fatigue life. Among all the parameters, the stress range of the reinforcing bars showed the highest effect on the fatigue life. In the end, the fatigue safety provisions in the current reinforced concrete beam design codes were evaluated based on the fatigue limits and S-N curves.

Fatigue Life Prediction for Reinforced-Concrete Low Domes

“…The subject of fatigue of reinforced concrete is generally treated experimentally or analytically through the study of reduced elements (column, beam, node...) [2][3][4][5][6], the analysis of full-scale structures, are the subjects least addressed by the scientific community; the fatigue of largespan domes is rarely addressed under realistic conditions.…”

Dynamic response and parameter analysis on the vehicle–bridge coupling of cable-stayed bridge under over-limit transportation

“…The over-limit transportation load has the characteristics of large axle load, large number of axles and lateral distribution width, and it usually exceeds the design load required by the code (Yin, 2009). In terms of bridges, considering the vehicle–bridge coupling effect, the bridge often produce a larger dynamic effect than the static load, which makes the bearing capacity and fatigue durability of the bridges face great challenges (Zhuang et al , 2020; Deng et al , 2018, 2019b). Aiming at this problem, Yan et al (2019) proposed a neural network and Monte Carlo method to quickly assess the fatigue and damage problems of over-limit transportation bridges.…”