An overview of intelligent construction and maintenance technology for highway subgrade engineering

Author:

Zhang Junhui12,Liu Liyan12,Yang Hao12

Affiliation:

1. School of Traffic and Transportation Engineering, Changsha University of Science & Technology , No. 960, 2nd Section, South Wanjiali Road, Changsha 410114, Hunan, China

2. Xiangjiang Laboratory , Beidou Industrial Park, No.217 Jianshan Road, Changsha Hi-Tech Zone, Xiangjiang New District, Changsha 410205, Hunan, China

Abstract

Abstract In terms of quality, functionality, and services, smart highways are an improvement over conventional highways and a crucial part of the latest infrastructure development. The primary load-bearing component of roadways is the subgrade. Accidents brought on by low-grade illnesses have been more common in recent years, yet it has been challenging to correctly diagnose low-grade illnesses in their early stages. Digital construction technology, intelligent construction, information management and control, and high-quality development as opposed to high-speed development are now the main technical tools used in subgrade engineering construction in China. This paper, which is based on the background of smart highways, analyzes the necessity and development prospection of intelligent construction and maintenance of subgrade engineering, proposes the development direction of intelligent construction and maintenance of subgrade engineering, and summarizes the relevant intelligent technologies throughout the lifecycle of subgrade engineering.

Funder

National Key Research and Development Program of China

Major Program

Open Project of Xiangjiang Laboratory

National Science Foundation for Distinguished Young Scholars of China

National Natural Science Foundation of China

Hunan Provincial Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Reference172 articles.

1. Modeling Resilient Modulus of Subgrade Soils Using LSSVM Optimized with Swarm Intelligence Algorithms;Abdelhalim;Scientific Reports

2. Comparison of Performance of Inclinometer Casing and TDR Technique;Aghda;Journal of Applied Geophysics,2018

3. Long-Term Slow Slip Event Detected Beneath the Shima Peninsula,Central Japan, from GNSS Data;Akio;Earth, Planets and Space,2019

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