Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Bian Hanbing"'
Publikováno v:
MATEC Web of Conferences, Vol 295, p 01006 (2019)
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 oper
Externí odkaz:
https://doaj.org/article/42ddbaf0966d4cc681254894203fc2ce
Publikováno v:
MATEC Web of Conferences, Vol 295, p 02011 (2019)
With the rapid urbanization in China, the disasters and the problems related with the urban underground space (UUS) exploitation increase. As an inevitable choice for sustainable urban development, how to increase the efficiency of the underground sp
Externí odkaz:
https://doaj.org/article/cc600a9e02dd48b58811ade481192ff1
Publikováno v:
MATEC Web of Conferences, Vol 281, p 01005 (2019)
This paper presents a smart monitoring system for risk management in the underground space. This space has a major role in cities, but it suffers from high vulnerability to hazards such as fire, flood and accidents. The paper provides analysis of the
Externí odkaz:
https://doaj.org/article/413c69a706a54c6097b3b9e3768af2cb
Publikováno v:
MATEC Web of Conferences, Vol 295, p 03008 (2019)
This paper presents a numerical study that aims to compare the behavior of the segmental tunnel lining using the direct, indirect and experimental methods. This model is based on a practical case applied in university of Tongji: a project of water co
Externí odkaz:
https://doaj.org/article/b3d4c0b903c946dfb4d100cdc3d34321
Publikováno v:
MATEC Web of Conferences, Vol 295, p 03007 (2019)
Large-scale triaxial, K0 compression and constant stress ratio path tests were carried out on two kinds of coarse-grained soils. Stress-strain relationships of these tests were simulated by using UH model for sands to study the applicability of the m
Externí odkaz:
https://doaj.org/article/d5cb6dfd171946ed9c67a82e2908b613
Publikováno v:
MATEC Web of Conferences, Vol 295, p 02001 (2019)
According to the uncertainty and concealment of the risk of goaf, a risk classification model of goaf is constructed based on rough set (RS) knowledge and support vector machine (SVM) theory. In this paper, based on statistical analysis and measured
Externí odkaz:
https://doaj.org/article/25a1f5e7462643779728a5018a9784e3
Publikováno v:
In Engineering Structures 1 October 2024 316
Autor:
Yu, Changhong, Zhou, Wantian, Sun, Baojiang, Bian, Hanbing, Bahaeddine, Mihoubi, Yang, Tangyang, Chen, Litao
Publikováno v:
In Applied Energy 15 December 2024 376 Part B
Publikováno v:
In Case Studies in Construction Materials December 2024 21
Publikováno v:
In Rock Mechanics Bulletin April 2024 3(2)