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作 者:刘济舟 孟上九[1,2,3] 袁晓铭 王淼[2] 孙义强 LIU Jizhou;MENG Shangjiu;YUAN Xiaoming;WANG Miao;SUN Yiqiang(Key Lab of Earthquake Engineering and Engineering Vibration,Institution of Engineering Mechanics,China Earthquake Administration(CEA),Harbin 150080,China;School of Architecture Engineering and Architecture,Harbin University of Science and Technology,Harbin 150080,China;Heilongjiang University of Science and Technology,Harbin 150022,China)
机构地区:[1]中国地震局工程力学研究所中国地震局地震工程与工程振动重点实验室,哈尔滨150080 [2]哈尔滨理工大学建筑工程学院,哈尔滨150080 [3]黑龙江科技大学,哈尔滨150022
出 处:《振动与冲击》2022年第5期189-196,207,共9页Journal of Vibration and Shock
基 金:中国地震局工程力学研究所基本科研业务费专项资助项目(2019B04);黑龙江省自然科学基金重点项目(ZD2019E009);国家自然科学基金项目(51378164)。
摘 要:随着5G时代的到来,地震过程能通过密集分布的摄像头实时记录并快速传输处理,以动态图像的形式更直观地呈现出来。如能从中快速准确的提取地震动参数等数据,将会是地震资料的宝库,弥补地震台站布置密度的不足。通过振动台模拟地震过程,结合图像识别和结构动力学分析方法,提出一种基于图像动态识别技术的地震动参数快速判别方法。通过不同摄像头高度、波形和振动频率下的计算和实测加速度曲线对比分析,多数加速度峰值误差在40%以内,证明该方法具有应用推广价值,能为将来地震动分析工作提供另一层面的解决途径。With the advent of 5 G era, a seismic process can be recorded in real time, quickly transmitted and processed with densely distributed cameras, it can be presented more intuitively in form of dynamic images. If ground motion parameters and other data can be extracted quickly and accurately, they can be a treasure house of seismic data and make up for lack of seismic station layout density. Here, using shaking table to simulate earthquake process, combining with image recognition and structural dynamic analysis, a fast recognition method of ground motion parameters based on image dynamic recognition technique was proposed. Through contrastive analyzing the calculated and measured acceleration curves under different camera heights, waveforms and vibration frequencies, most of acceleration peak value errors were within 40%. It was shown that the proposed method has application and popularization values;it can provide another solving way for future ground motion analysis.
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