Other

Tongji University

Yuchuan Du

Lijun Sun

Shengchuan Jiang

Chenglong Liu

Jun Chi Yan

Qin Wang

Xiaoming Zhang

Yue Qiu

Yishun Li

Guangzhao Chang

Yafeng Pang

Ning Pan

Xingyi Zhu

The present invention relates to a high-toughness geopolymer grouting material modified by ultra-high molecular weight fibers and emulsified asphalt, and a preparation method and application thereof, wherein the grouting material comprises the following components in parts by mass: 4-12 parts of emulsified asphalt, 80-100 parts of a geopolymer, 103-126 parts of an alkali-activated solution, 2-3 parts of ultra-high molecular weight fibers and 30-35 parts of water. Compared to the prior art, the grouting material modified by ultra-high molecular weight fibers and emulsified asphalt is simple to prepare, has good fluiditygood, and matches well with road substrate; the good toughness and crack control capability of the ultra-high molecular weight fibers enables this novel grouting material to overcome the problem in durability of common geopolymer-based materials. The material of the present invention can be applied in filling voids beneath a slab of a cement concrete pavement and in the technology of non-excavation road reinforcement of a road base course and a subgrade of a high-grade highway.

High-toughness geopolymer grouting material modified by ultra-high weight fibers and emulsified asphalt, preparation and application

A binocular image analysis-based asphalt road surface damage detection system, comprising five sub-systems for crack development degree detection model establishment, information collection, information analysis, information transmission and information distribution. Specifically, road surface damage information detection is performed by means of a mobile platform, a processing end, a temperature measurement-type infrared thermal imaging instrument, an ordinary image collector, a vibration sensor, image processing technology, edge cloud computing technology, an embedded system, system integration technology and real-time positioning technology.

System for detecting crack growth of asphalt pavement based on binocular image analysis

A comfort-based self-driving planning method is provided, including the steps of: a) establishing a relationship model of vibration road surface quality and driving comfort on the basis of a vehicle type; b) obtaining road ahead condition parameters, including abnormal condition information, road flatness and road surface anti-slide performance; c) obtaining the road ahead condition parameters, and adjusting a vehicle expected driving trajectory; d) respectively designing vehicle acceleration, deceleration and constant speed processes, and generating a speed change curve; and e) optimizing the speed change curve. Based upon changeable road surface quality and vehicle vibration action mechanism analysis and image-based road surface anti-slide coefficient evaluation technology, a GIS and vehicle-road communication technology are used to acquire road condition parameters, and vehicle acceleration, deceleration and constant speed processes are respectively designed on the basis of changes in the parameters.

Comfort-based self-driving planning method

A method for leakage detection of underground pipeline corridor based on dynamic infrared thermal image processing. The leakage can be detected by the following steps, including: converting infrared thermal videos into infrared thermal images; obtaining the gray scale information and temperature information of internal environment of the underground pipeline corridor. The gray scale information can realize the conventional target of pipe line state identification inside the pipeline corridor, and the temperature information can be used to detect the pipe leakage.

Method for leakage detection of underground pipeline corridor based on dynamic infrared thermal image processing

Growing community of inventors

Shanghai, China

Yuchuan Du