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作 者:马国辉[1] MA Guo-hui(China Railway 18th Bureau Group Co.Ltd.,300350,Tianjin,China)
出 处:《建筑技术》2021年第11期1358-1361,共4页Architecture Technology
摘 要:受外界干扰影响,采用不同声源深度仿真方法和卡尔曼滤波地震相轴跟踪方法的抗震性能检测精度较低,对比研究基于GPS数据的预应力现浇桥梁加固结构抗震性能检测方法。结合GPS数据构建地震强度评估数学模型,通过数学模型避免外界干扰,可保证评估结果不出现突变。构建梁绞型破坏模型,检测加固结构混凝土叠合框架震性能;通过荷载–位移骨架曲线,检测加固结构双层骨架抗震性能。试验结果表明,使用该方法其横向及纵向地震位移均与实际位移一致,检测结果精准。Due to external interference,the seismic performance testing accuracy of different sound source depths-based simulation method and Kalman filter seismic phase axis tracking method are low.Therefore,the GPS data-based seismic performance testing method for prestressed cast-in-place bridge reinforced structure was studied herein.This paper used GPS data to construct the mathematical model for seismic intensity evaluation,to avoid external interference and to avoid sudden change of the evaluation results.A stranding failure model was established to test the seismic performance of reinforced concrete composite frames.The seismic performance of double-layer frame of the reinforced structure was tested by using load-displacement frame curve.It was found that the transverse and longitudinal seismic displacements measured by this method are consistent with the actual displacements,and that the test results are accurate.
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