强地震作用下高层钢框架结构管廊消防应急异常信号特征研究-华南地震

文章信息/Info

Title:: Study on Abnormal Signal Characteristics of Fire Emergency Response for High-rise Steel Frame Pipe Gallery under Strong Earthquake

Author(s):: ?LIU Shifang; LIN Yan; （Zhengzhou University Multi-Functional Descgn and Academy Co.，LTD，Zhengzhou 450002，China）

Keywords:: Strong earthquake; High-Rise steel frame structure; Pipe gallery; Fire emergency abnormal signal

摘要:: 现有的强地震作用下高层钢框架结构管廊消防应急异常信号特征分析方法存在着异常信号检测效率低、分析准确性差的难题，为了解决上述问题，提出强地震作用下高层钢框架结构管廊消防应急异常信号特征分析方法研究。为了简化分析过程，构建高层钢框架结构管廊模型，以此为基础，采用差分超限法对消防应急异常信号进行检测，以检测出的消防应急异常信号为基础通过SVMS算法对其特征进行提取，将其输入到有限元分析公式中，得到高层钢框架结构管廊刚度值，对高层钢框架结构管廊稳定性进行判别，实现了强地震作用下高层钢框架结构管廊消防应急异常信号特征的分析。通过测试得到，与现有消防应急异常信号特征分析方法相比较，提出的消防应急异常信号特征分析方法极大的提升了异常信号检测效率与分析准确性，充分说明提出方法具备更好的性能。

Abstract:: In order to solve the problems of inefficient detection and poor analysis accuracy of abnormal fire emergency signals in high-rise steel frame structure pipeline galleries under strong earthquakes，a method of analysis of abnormal fire emergency signals in high-rise steel frame structure pipeline galleries under strong earthquakes is proposed. To simplify the analysis process，the pipe gallery model of high-rise steel frame structure is constructed. On this basis，the differential over-limit method is used to detect the abnormal fire emergency signals. Based on the abnormal fire emergency signals detected，the features of the abnormal fire emergency signals are extracted by SVMs algorithm，which are input into the finite element analysis formula to obtain the high-rise steel. The stiffness value of the pipe gallery of the frame structure is used to judge the stability of the pipe gallery of the high-rise steel frame structure，and the analysis of the fire emergency abnormal signal characteristics of the pipe gallery of the high-rise steel frame structure under strong earthquake is realized. The test results show that the proposed method greatly improves the efficiency and accuracy of abnormal information detection compared with the existing analysis methods of abnormal signal characteristics of fire emergency，which fully shows that the proposed method has better performance.