基于 HHT 的城市综合管廊内部气体爆炸损伤分析

IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Linna Li, Zhengying Ma, Dongwang Zhong, Tengfei Li, Qi Zhang
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引用次数: 0

摘要

本文采用嵌入压电陶瓷传感器的方法,对城市综合管廊的材料和模型进行了损伤测试。采用 HHT 方法对监测信号进行处理,分析爆炸前后压电信号的频率和能量变化,从而确定城市综合管廊在内部气体爆炸下的损伤特征。结果表明,在管廊模型内部气体爆炸试验中,爆炸前后压电信号的波形和峰值变化不大,说明综合管廊侧壁没有明显损伤。但是,通过 HHT 对压电信号进行进一步的时频分析后发现,爆炸后压电信号的主频有下降趋势,因此判断爆炸后管廊内有轻微损伤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Damage Analysis of Urban Comprehensive Pipe Gallery Caused by Internal Gas Explosion Based on HHT

In this paper, the method of embedding piezoelectric ceramic sensors is used to test the damage of the materials and models of the urban comprehensive pipe gallery. The monitoring signal is processed by HHT method, and the frequency and energy changes of the piezoelectric signal before and after the explosion were analyzed, thus the damage characteristics of the urban comprehensive pipe gallery under the internal gas explosion are determined. The results show that in the gas explosion test inside the pipe gallery model, the waveform and peak value of the piezoelectric signal before and after the explosion did not change significantly, indicating that there was no obvious damage to the side wall of the integrated pipe gallery. However, after further time-frequency analysis of the piezoelectric signal by HHT, it is found that the dominant frequency of the piezoelectric signal after explosion has a downward trend, so it is judged that there is a small damage in the pipe gallery after explosion.

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来源期刊
CiteScore
2.90
自引率
13.30%
发文量
201
审稿时长
15.8 months
期刊介绍: The International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI) welcomes both theory-oriented and innovative applications articles on new developments and is of interest to both researchers in academia and industry. The current scope of this journal includes: • Pattern Recognition • Machine Learning • Deep Learning • Document Analysis • Image Processing • Signal Processing • Computer Vision • Biometrics • Biomedical Image Analysis • Artificial Intelligence In addition to regular papers describing original research work, survey articles on timely and important research topics are highly welcome. Special issues with focused topics within the scope of this journal are also published.
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