Tongji University

Jianming Ling

Hongduo Zhao

Le Liu

Jinyu Wu

Xindong Zhao

Mintao Bao

Jingfu Chen

The present disclosure provides a method and system for evaluating anti-skid performance of airport pavement based on spaceborne SAR. the method obtains an echo intensity plot by processing SAR images; Establish a FNN model using machine learning algorithms that input objective conditions, surface texture parameters, measured friction coefficients, and output SAR echo intensity; Finally, input the SAR images to be predicted and the assumed friction coefficient into the FNN model, to compare and predict the anti-skid performance. The present disclosure is based on the properties of SAR echoes and establishes a correlation between SAR echo intensity and pavement friction coefficient in both temporal and spatial dimensions, enabling uninterrupted remote sensing monitoring of regional anti-skid performance over a long period and large spatial distribution.

Method and system for evaluating anti-skid performance of airport pavement based on spaceborne SAR

The present disclosure relates to a method and system for pavement structural performance evaluation based on long-range laser vibration measurement. The method can more accurately evaluate the structural performance of the pavement by detecting the actual deflection value of the pavement during aircraft operation; By obtaining real-time deflection data of the airport runway, it is possible to detect changes in the structural performance of the airport runway in the long term without affecting the normal operation of the airport runway. The present invention has strong anti-interference ability, stable detection results, and can achieve non-contact, large-scale, and high-precision measurement of airport pavement deflection.

Method and system for airport pavement structural performance evaluation using long-range laser doppler vibrometer

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SHANGHAI, China

Jianming Ling