首页> 外文会议>Canadian Society for Civil Engineering annual conference >FATIGUE STRENGTH OF ANGLE-SHAPED TRANSVERSE CONNECTION FOR GFRP-REINFORCED PRECAST FULL-DEPTH DECK PANELS IN ACCELERATED BRIDGE CONSTRUCTION
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FATIGUE STRENGTH OF ANGLE-SHAPED TRANSVERSE CONNECTION FOR GFRP-REINFORCED PRECAST FULL-DEPTH DECK PANELS IN ACCELERATED BRIDGE CONSTRUCTION

机译:加速桥梁施工中GFRP加固的全深层面板角形横向连接的疲劳强度

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Prefabricated bridges elements and systems (PBES) are subjected to repeated truck loads while being exposed to weather conditions. Fatigue of the structural elements and corrosion of the reinforcement are the main reasons for bridge deterioration. This research investigates the fatigue strength of full-depth deck panels (FDDP) resting over steel cross-braced girders and reinforced with ribbed-surface, high-modulus (HM), glass fiber reinforced polymer (GFRP) bars. The precast FDDP has transverse panel-to-panel connection of angle-shape with female shear key, and panel-to-girder connection of V-shape, where both connections are filled with ultra-high performance fiber reinforced concrete (UHPFRC). Two different fatigue loading were conducted to simulate the Canadian Highway Bridge Design Code (CHBDC) truck loading, namely: constant amplitude fatigue (CAF) loading and variable amplitude fatigue (VAF) loading. The fatigue damage for all cycles is summed to obtain the cumulative fatigue damage (CFD) for the entire loading history. The reliability of the GFRP-reinforced precast FDDP subjected to high cycle fatigue is then evaluated based on load-cycle (P-N) damage accumulation approach. A simple life-span prediction model is proposed for the FDDP based on the CFD.
机译:预制桥梁元件和系统(PBES)承受着反复的卡车载荷,同时又暴露在天气条件下。结构元件的疲劳和钢筋的腐蚀是桥梁劣化的主要原因。这项研究调查了全深度甲板面板(FDDP)的疲劳强度,该面板搁置在钢制交叉支撑大梁上,并用带肋表面的高模量(HM)玻璃纤维增​​强聚合物(GFRP)筋进行了加固。预制FDDP具有角形的横向面板对面板连接和母形剪力键,以及面板对大梁的V形连接,两个连接处均填充有超高性能纤维增强混凝土(UHPFRC)。进行了两种不同的疲劳载荷来模拟加拿大公路桥梁设计规范(CHBDC)卡车载荷,即:恒定振幅疲劳(CAF)载荷和可变振幅疲劳(VAF)载荷。将所有循环的疲劳损伤相加,以获得整个加载历史的累积疲劳损伤(CFD)。然后,基于荷载循环(P-N)损伤累积方法,评估了经受高周疲劳的GFRP增强预制FDDP的可靠性。针对基于CFD的FDDP,提出了一种简单的寿命预测模型。

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