Abstract
China is currently at an important stage of urbanization. In recent years, the number and scale of under-lake tunnels in southern cities of China are growing consistently, which brings opportunities and challenges in intelligent construction and operation maintenance. Due to the long length of the under-lake tunnel, the large volume of concrete to be cast, the complex environment of the buried section and the underground environment of the lake bottom, the hydration heat and stress crack have been the main challenges of the under-lake tunnel engineering in crack control and waterproofing aspect. Simultaneously, with the development of big data, intelligent construction, information technology, and other techniques, these techniques are gradually applied to the whole life cycle of tunnel engineering including survey, design, construction, operation, and maintenance. The construction of the lake tunnel project is setting off a new round of technological innovation. This paper systematically summarizes the technical breakthroughs and application of technologies such as intelligent construction and information technology in the construction of under-lake tunnels in China, and puts forward reasonable suggestions on the key technologies of intelligent construction and operation maintenance for urban under-lake tunnel engineering.
Highlights
The construction of under-lake tunnels has set off a new upsurge in the Chinese urbanization process
A remarkable feature for the under-lake tunnels is the tunnels need to stretch under the lake, and the burial depth of the tunnels is highly dependent on the geological conditions of the bottom sediment in the lake
It is well known that uneven external forces in the underground environment are applied to the structure, causing uneven deformation or even cracking of the structure, resulting in a large localized waterproof layer
Summary
The construction of under-lake tunnels has set off a new upsurge in the Chinese urbanization process. The commuting time between two sides of the lake can be considerably reduced with the construction of under-lake tunnels. Liu et al (2019) adopted a genetic algorithm and combined covariance Gaussian process regression coupled algorithm to execute displacement back analysis and predict displacement of surrounding rock in the initial monitoring period of tunnel construction. This prediction of surrounding rock https://doi.org/10.10 51/matecconf /201929 501006 displacement can be extended to the long-term monitoring period after the training samples are collected. The application of smart technology in the tunnel construction process is studied. A programmatic framework for the application of smart technology in the construction of the under-lake tunnels is established
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