The Great Wall Vibration Monitoring of Traffic and Natural Hazards Using MEMS Accelerometers.

The Great Wall Vibration Monitoring of Traffic and Natural Hazards Using MEMS Accelerometers.
复制标题

使用 MEMS 加速度计进行交通和自然灾害的长城振动监测

DOI:
10.3390/s23042179
复制
发表时间:
2023-02-15
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Tang Y
Tang Y
中科院分区:
其他
文献类型:
--
作者:
Wang J;Liu X;Liu F;Chen C;Tang Y

文献摘要

参考文献

相似文献

长城的稳定性主要受到交通震动和自然灾害的影响,如强风、暴雨、雷暴等,对长城的安全危害极大。为了确定上述因素对长城的影响,基于MEMS(微机电系统)加速度计数据,对无影响与上述因素的影响进行了对比分析。利用加速度计、交通视频、气象、降雨和风的数据,基于可视化时间序列图分析了振动加速度与各种潜在危险之间的关系。结果表明,交通振动是影响长城稳定性的主要危险因素之一,且振动强度随交通流量的增大而增大。雷暴也会影响长城的稳定性,雷暴激励增强导致振动位移增大。风荷载是影响因素,平均风速大于9 m/s时,对长城的稳定性影响显著。降雨在短期内对长城的稳定性没有影响。该研究对长城的风险评估和保护具有重要的指导意义。
The stability of the Great Wall is mainly affected by traffic vibrations and natural hazards, such as strong winds, heavy rainfall, and thunderstorms, which are extremely harmful to the safety of the Great Wall. To determine the impact of the above factors on the Great Wall, a comparative analysis based on MEMS (micro-electro-mechanical system) accelerometer data was conducted between the non-impacts and the impacts of the above factors. An analysis of the relationship between vibration acceleration and each potential hazard based on a visual time series chart was presented using the data of accelerometers, traffic video, meteorology, rainfall, and wind. According to the results, traffic vibration is one of the primary dangerous factors affecting the stability of the Great Wall, Moreover, the intensity of the vibrations increases with the traffic flow. Thunderstorms also influence the stability of the Great Wall, with enhanced thunderstorm excitation resulting in increased vibration displacement. Furthermore, wind load is an influencing factor, with average wind speeds greater than 9 m/s significantly affecting the stability of the Great Wall. Rainfall has no impact on the stability of the Great Wall in the short term. This research can provide important guidance for risk assessment and protection of the Great Wall.
通过使用具有成本效益的MEMS加速度计对建筑物安全监测的研究,以快速的递减后评估数据,而数据丢失了。
DOI: 10.3390/s21217327
发表时间: 2021-11-03
期刊: Sensors (Basel, Switzerland)
影响因子: --
作者:
Lin JF;Li XY;Wang J;Wang LX;Hu XX;Liu JX
通讯作者: Liu JX
DOI: 10.3390/s16020257
发表时间: 2016-02-19
期刊: Sensors (Basel, Switzerland)
影响因子: --
作者:
Sekiya H;Kimura K;Miki C
通讯作者: Miki C
DOI: 10.3390/s22218165
发表时间: 2022-10-25
期刊: Sensors (Basel, Switzerland)
影响因子: --
作者:
Zanelli F;Mauri M;Castelli-Dezza F;Tarsitano D;Manenti A;Diana G
通讯作者: Diana G
DOI: 10.1002/stc.2900
发表时间: 2021-12-02
影响因子: 5.4
作者:
Zini, Giacomo;Betti, Michele;Bartoli, Gianni
通讯作者: Bartoli, Gianni
DOI: 10.3390/rs14112583
发表时间: 2022-06-01
期刊: REMOTE SENSING
影响因子: 5
作者:
Patane, Domenico;Tusa, Giuseppina;Torrisi, Orazio
通讯作者: Torrisi, Orazio