Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Zhiyun Deng"'
Publikováno v:
Buildings, Vol 14, Iss 11, p 3376 (2024)
In order to study the bearing mechanism of a steel screw pile (SSP), a 3D-FEM of “SSP-stratum” was established based on the large-scale general finite element analysis platform ABAQUS. Secondly, the real friction coefficient between pile and soil
Externí odkaz:
https://doaj.org/article/197fe114b10f4cdeba7109692baee7f1
Autor:
Xinrong Liu, Yang Zhuang, Xiaohan Zhou, Chao Li, BinBin Lin, Ninghui Liang, Zuliang Zhong, Zhiyun Deng
Publikováno v:
Underground Space, Vol 9, Iss , Pp 200-217 (2023)
Mountain road tunnels are prone to water leakage and lining corrosion under the complex geological conditions and corrosive environments, which will reduce the strength of the lining structure until it loses its load-bearing capacity; eventually, the
Externí odkaz:
https://doaj.org/article/deffae98fe6141d59c13777f7cf20c67
Autor:
Peng Chen, Xinrong Liu, Zhiyun Deng, Ninghui Liang, Libing Du, Han Du, Yedi Huang, Lingyun Deng, Gaoyang Yang
Publikováno v:
Underground Space, Vol 9, Iss , Pp 173-185 (2023)
Previous studies on pipe friction resistance are mainly concentrated in the soil layer, whereas the study on that in the rock stratum is limited. To estimate the pipe friction resistance in the rock stratum, the calculation models of pipe friction re
Externí odkaz:
https://doaj.org/article/2157e423c03441ffb1e0fa408537bf54
Publikováno v:
Journal of Intelligent Construction, Vol 2, Iss 2, p 9180010 (2024)
During the excavation of tunnels in mountainous areas, groundwater may be lost, which affects the surface plants and ecology. In this article, taking Hengwu Tunnel in China as an example, based on the soil–plant–atmosphere continuum (SPAC) model,
Externí odkaz:
https://doaj.org/article/40b169eb63f6465ba9109a08b89fd9d8
Autor:
Yu Wu, Wen Hui Huang, Chen Yin Peng, Yong Bao Shen, Anne M. Visscher, Hugh W. Pritchard, Qiu Gao, Xiao Rui Sun, Ming Zhu Wang, Zhiyun Deng
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
IntroductionTilia miqueliana is an endemic species whose population is declining. The permeability barrier and mechanical constraint of the pericarp (seed coat) are important causes of its seed dormancy. Although there has been considerable research
Externí odkaz:
https://doaj.org/article/012430e8fe4e4ad4a3149aef4875c8da
Publikováno v:
Ecological Indicators, Vol 155, Iss , Pp 110967- (2023)
Coal-electricity base cities (CEBs) are coal-based electric energy centralized and sustained production and output cities built following China’s strategic energy layout, in regions with abundant coal resources, and by the integrated coal-electrici
Externí odkaz:
https://doaj.org/article/31734c7773bb44ac930a37eec60abbd5
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 15, Iss 2, Pp 375-394 (2023)
A method for packing irregular particles with a prescribed volume fraction is proposed. Furthermore, the generated granular material adheres to the prescribed statistical distribution and satisfies the desired complex spatial arrangement. First, the
Externí odkaz:
https://doaj.org/article/db5f6b5c0ac945ec8c3ef9f781c1a027
Publikováno v:
Case Studies in Construction Materials, Vol 17, Iss , Pp e01669- (2022)
The application of polypropylene fiber in the secondary tunnel lining can provide theoretical guidance for preventing and controlling tunnel lining problems from the perspective of concrete materials. The field tests and long-term observations were c
Externí odkaz:
https://doaj.org/article/4994705a35954fd587a29cba39aafb8b
Publikováno v:
International Journal of Concrete Structures and Materials, Vol 15, Iss 1, Pp 1-23 (2021)
Abstract To study the hybrid effects of polypropylene fiber and basalt fiber on the fracture toughness of concrete, 13 groups of notched concrete beam specimens with different fiber contents and mass ratios were prepared for the three-point bending t
Externí odkaz:
https://doaj.org/article/a63eb5821d12478c98dd0bc6cfb97aef
Publikováno v:
Sensors, Vol 23, Iss 12, p 5615 (2023)
This paper presents a multi-agent reinforcement learning (MARL) algorithm to address the scheduling and routing problems of multiple automated guided vehicles (AGVs), with the goal of minimizing overall energy consumption. The proposed algorithm is d
Externí odkaz:
https://doaj.org/article/8c16a05a0123497e88fc37ecb356fd0e