Pavement structure performance analysis method and system based on data driving-mechanical model fusion

Abstract

The invention relates to a pavement structure performance analysis method and system based on data driving-mechanical model fusion. The method comprises the steps: building an airport rigid pavement mechanical model based on perception information, and building a model of a full-size aircraft virtual prototype; collecting acting force data on the road surface in the takeoff and landing processes of an aircraft, inputting the acting force data into the airport rigid road surface mechanical model, and simulating the action on the road surface in the airport rigid road surface mechanical model through the aircraft virtual prototype model to obtain change data of a simulated road surface structure; According to the change data of the simulated pavement structure, obtaining spatial mechanical response and structural performance index parameters of the pavement, If the spatial mechanical response and the structural performance index parameters of the pavement reach safety thresholds, giving an alarm. According to the method, the structure data of the airport pavement can be accurately analyzed, and the safety condition of the pavement can be researched and judged according to the structure data.

Description

technical field [0001] The invention relates to the performance analysis of airport pavement structures, in particular to a pavement structural performance analysis method and system based on data-driven-mechanical model fusion. Background technique [0002] The rigid pavement of airport runways is the main pavement form of airports in the world, accounting for more than 90% of the total pavement area of ​​airports in my country, and will occupy a dominant position for a long time. Carrying out reliable and accurate structural performance evaluation is the basis for ensuring the safety of the flight area and the long-term durability of the pavement. At present, the following technical solutions are disclosed for the airport road in the prior art: [0003] The Chinese invention patent application with the publication number CN109975139A discloses an impact toughness detection device and detection method of the airport runway surface structure. The formula calculates the impa...

AI Technical Summary

Problems solved by technology

[0003] The Chinese invention patent application with the publication number CN109975139A discloses an impact toughness detection device and detection method of the airport runway surface structure. The formula calculates the impact force on the airport runway surface under different gravity, so as to realize the impact resistance and toughness detection of the airport runway surface structure. However, it is impossible to detect and judge the performance changes of the internal physical structure of the road from a microscopic point of view

[0004] The Chinese invention patent application with publication number CN107341455A discloses a multi-feature detection method and detection device for foreign objects on the airport runway at night. The rapid detection of foreign objects on the airport runway at night can effectively solve the noise interference caused by insufficient light, light changes, and uneven light intensity on the airport runway at night, as well as the "bulges" and "cracks" on the airport runway. Vibration interference caused by CCD cameras and red laser lines, but this solution can only judge road conditions, such as foreign objects and obstacles on the road, but cannot detect the physical structure and performance status of the main structure of the road

[0005] The Chinese invention patent application with the publication number CN101982835A discloses a level set method for airport road edge detection in SAR images. Borderline condition, physical structure and performance status of airport road main structure not available

[0006] The Chinese invention patent application with publication number CN111985324A discloses a road detection method combining full convolution regression neural network and conditional random field. The conditional random field realizes the detection of roads. This solution can only solve the problem of holes and uneven edges caused by extreme lighting conditions, thereby improving the accuracy of road detection, and cannot obtain the physical structure and performance status of the main structure of the airport road.

[0007] In addition, there are still some road evaluation methods at home and abroad that are mostly based on mechanical models or indoor and outdoor tests. Due to the constraints of model simplification, ideal assumptions, and limited number of indoor and outdoor test samples, it is difficult to cope with the complex operating environment and load characteristics on site. Affects the accuracy and reliability of pavement structural performance evaluation

Images