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A platform for research: civil engineering, architecture and urbanism
Nondestructive monitoring method for cracks of ballastless track slabs
The invention relates to a nondestructive monitoring method for cracks of ballastless track slabs, which mainly solves the problem about real-time dynamic monitoring of the concrete ballastless trackslabs for track traffic in actual engineering. The acoustic emission data under different working conditions, different temperatures and different pH values is obtained through many tests in the earlier stage, a reasonable and efficient database needs to be established, artificial intelligence is introduced, analytic learning is conducted on the big data through a neural network, and in combination with test data comparison, intelligent monitoring of the ballastless track slabs is achieved. After processing and analysis of the big data, the state of any track slab can be judged according to the acoustic emission data, remotely transmitted to a computer, of the concrete track slab in practical application, and the damage condition of the track slabs is quantitatively analyzed.
本发明涉及一种用于无砟轨道板裂缝的无损监测方法，主要解决在实际工程中对轨道交通混凝土无砟轨道板进行实时动态监测问题，前期通过大量试验得到在不同工况下，不同温度、酸碱度的情况下的声发射数据，需要建立合理高效的数据库，并引入人工智能，通过神经网络对大数据进行分析学习，结合试验数据比对，以实现无砟轨道板的智能监测。根据对大数据的处理分析后，在实际应用中可以根据远程传输到计算机中的任一混凝土轨道板的声发射数据来判别轨道板的状态，定量分析轨道板受损情况。
Nondestructive monitoring method for cracks of ballastless track slabs
The invention relates to a nondestructive monitoring method for cracks of ballastless track slabs, which mainly solves the problem about real-time dynamic monitoring of the concrete ballastless trackslabs for track traffic in actual engineering. The acoustic emission data under different working conditions, different temperatures and different pH values is obtained through many tests in the earlier stage, a reasonable and efficient database needs to be established, artificial intelligence is introduced, analytic learning is conducted on the big data through a neural network, and in combination with test data comparison, intelligent monitoring of the ballastless track slabs is achieved. After processing and analysis of the big data, the state of any track slab can be judged according to the acoustic emission data, remotely transmitted to a computer, of the concrete track slab in practical application, and the damage condition of the track slabs is quantitatively analyzed.
本发明涉及一种用于无砟轨道板裂缝的无损监测方法，主要解决在实际工程中对轨道交通混凝土无砟轨道板进行实时动态监测问题，前期通过大量试验得到在不同工况下，不同温度、酸碱度的情况下的声发射数据，需要建立合理高效的数据库，并引入人工智能，通过神经网络对大数据进行分析学习，结合试验数据比对，以实现无砟轨道板的智能监测。根据对大数据的处理分析后，在实际应用中可以根据远程传输到计算机中的任一混凝土轨道板的声发射数据来判别轨道板的状态，定量分析轨道板受损情况。
Nondestructive monitoring method for cracks of ballastless track slabs
一种用于无砟轨道板裂缝的无损监测方法
ZHOU YU (author) / REN ZEQI (author) / WENG ZHIYI (author) / WANG HAOLIN (author) / JU YIHAN (author)
2020-12-29
Patent
Electronic Resource
Chinese
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