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A platform for research: civil engineering, architecture and urbanism
Intelligent monitoring method for expansion joint of large-span high-speed rail bridge
The invention discloses an intelligent monitoring method for an expansion joint of a large-span high-speed rail bridge. On the basis of long-term monitoring of the expansion joint of the long-span bridge, a machine learning technology is introduced, mapping relations among environment load parameters, train load parameters and structural responses at the expansion joint are established respectively, then structural responses at the expansion joint under two kinds of excitation are predicted, the working state of the expansion joint is mastered in real time, and the expansion joint is monitoredin real time. Therefore, the operation safety of the long-span high-speed rail bridge is improved. Compared with an existing expansion joint monitoring technology, the timeliness and accuracy of abnormal early warning of the expansion joint service state are improved by introducing machine learning and evaluation indexes. The expansion joint intelligent monitoring method can bring great value tosafe operation of the high-speed rail bridge .
本发明公开了一种大跨度高铁桥梁的伸缩缝智能监测方法，在对大跨度桥梁伸缩缝长期监测的基础上，通过引入机器学习这一技术，分别建立环境荷载参数、列车荷载参数与伸缩缝处结构响应之间的映射关系，进而预测两种激励下伸缩缝处结构响应，实时掌握伸缩缝的工作状态，以提高大跨度高铁桥梁的运营安全性。与现有的伸缩缝监测技术相比，本发明通过引入机器学习及评估指标，提升了伸缩缝服役状态异常预警的时效性和准确性。本发明中的伸缩缝智能监测方法可为高铁桥梁的安全运营带来巨大价值。
Intelligent monitoring method for expansion joint of large-span high-speed rail bridge
The invention discloses an intelligent monitoring method for an expansion joint of a large-span high-speed rail bridge. On the basis of long-term monitoring of the expansion joint of the long-span bridge, a machine learning technology is introduced, mapping relations among environment load parameters, train load parameters and structural responses at the expansion joint are established respectively, then structural responses at the expansion joint under two kinds of excitation are predicted, the working state of the expansion joint is mastered in real time, and the expansion joint is monitoredin real time. Therefore, the operation safety of the long-span high-speed rail bridge is improved. Compared with an existing expansion joint monitoring technology, the timeliness and accuracy of abnormal early warning of the expansion joint service state are improved by introducing machine learning and evaluation indexes. The expansion joint intelligent monitoring method can bring great value tosafe operation of the high-speed rail bridge .
本发明公开了一种大跨度高铁桥梁的伸缩缝智能监测方法，在对大跨度桥梁伸缩缝长期监测的基础上，通过引入机器学习这一技术，分别建立环境荷载参数、列车荷载参数与伸缩缝处结构响应之间的映射关系，进而预测两种激励下伸缩缝处结构响应，实时掌握伸缩缝的工作状态，以提高大跨度高铁桥梁的运营安全性。与现有的伸缩缝监测技术相比，本发明通过引入机器学习及评估指标，提升了伸缩缝服役状态异常预警的时效性和准确性。本发明中的伸缩缝智能监测方法可为高铁桥梁的安全运营带来巨大价值。
Intelligent monitoring method for expansion joint of large-span high-speed rail bridge
一种大跨度高铁桥梁伸缩缝智能监测方法
WANG HAO (author) / LANG TIANYI (author) / MAO JIANXIAO (author) / ZHU QINGXIN (author) / HU SUOTING (author) / ZHAO XINXIN (author)
2020-06-09
Patent
Electronic Resource
Chinese
IPC:
G01M
TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES
,
Prüfen der statischen oder dynamischen Massenverteilung rotierender Teile von Maschinen oder Konstruktionen
/
E01D
BRIDGES
,
Brücken
/
G01D
MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE
,
Anzeigen oder Aufzeichnen in Verbindung mit Messen allgemein
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