Xinli Wu
Pennsylvania State University
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Featured researches published by Xinli Wu.
Applied Mechanics and Materials | 2012
Rui Hua Zhuo; Run Liu; Xinli Wu; Yang Yang Zhao
The vertical bearing capacity of a special pile group of platform in an offshore gas field has been studied. Large diameter d (2.134 m), deep penetration l (96 m), small spacing sa (3.507 m), and only one row piles are the usual characteristics of the pile group foundation in offshore engineering. According to the requirements of the related design code, the super pile group effect has to be considered. However, with the usual design code, when sa/d, the ratio of spacing to diameter, is less than 2.0, there is no way to consider the pile group effect. In this paper, considering the occlusion effect of soil plug of pipe pile, several methods have been introduced to study the super pile group effect of the vertical bearing capacity. These methods include linear elastic theory method, the method recommended by the Code of Pile Foundation in Port Engineering (JTJ254-98), and the method with virtue of the existing pile group model test results. Meanwhile, the plugged and unplugged conditions have been considered, respectively. Through the analysis, the factors of safety in extreme and normal operation states are obtained, and the results satisfy the design specifications.
Applied Mechanics and Materials | 2013
Feng Shan Han; Xinli Wu
The geological storage of has been recognized as an important strategy to reduce emission in the atmosphere. Coal seam has strong absorption capacity for , hence the coal seam can be used as geological storage reservoirs, simple and easy to use modeling tools would be valuable in assessing the performance of deep underground geological storage. In this paper failure process of coal seam in deep underground under triaxial compressive experiment is presented by numerical simulation. That is of significance and valuable to those subjects of investigation of strength of coal seam in deep underground and mechanism of propagation and coalescence and evolvement of crack for coal seam in deep underground, it is shown by numerical simulation that failure shape of coal seam in deep underground under triaxial compressive experiment of lateral pressure of 25Mpa is typically shear failure, and characteristic of deformation is obviously elastic-brittle, which is significance to understand the performance of the coal seam in deep underground
Applied Mechanics and Materials | 2013
Feng Shan Han; Xinli Wu
The artificial neural network has been widely used in various field of science and engineering. The artificial neural network has marvelous ability to gain knowledge. In this paper, according to principle of artificial neural network , Model of artificial neural network of rock bolt support of roadway of coal mine has been constructed,Learning system of BP artificial neural network has been trained,it is shown by engineering application that artificial neural network can handle imperfect or incomplete data and it can capture nonlinear and complex relationships among variables of a system. the artificial neural network is emerging as a powerful tool for modeling with the complex system. Method and parameters of rock bolt support of roadway of coal mine can be predicated accurately using artificial neural network, that is of significance and valuable to those subjects of investigation and design of mining engineering
International Conference On Civil Engineering And Urban Planning 2012American Society of Civil EngineersYan Tai UniversityChinese Culture UniversityCommunication University of China | 2012
Ping Zhu; Run Liu; Wenbin Liu; Xinli Wu
In order to connect a reservoir to the water system of an inner lake in a planned residential district, as well as pass through an urban first-grade highway, a box-culvert structure will be built under the highway. The larger cross-section of the box-culvert in the preliminary design is on the conservatively safer side but not as economical, and yet will cause excessive foundation deformation due to heaver self-structural load. This paper proposed an optimal design with the best combinations of sidewalls, floor, and roof thickness of the box-culvert structure. Finite element method analysis of the stress and deformation of the box-culvert structure and its foundation with the highest and lowest water table levers during its simulated construction period was conducted. As a result, an optimal design was concluded, which not only reduces the use of concrete, but also reduces the demands on the bearing capacity of the foundation soil.
Applied Mechanics and Materials | 2012
Run Liu; Lei Wang; Xinli Wu; Wenbin Liu
The water system of an inner lake in a planned residential district is connected to the Tuanbo reservoir. To pass through the city road between this residential district and the Tuanbo reservoir and effectively control the water table level of the inner lake, two sluices with two box-culverts will be built under the city road. In the existing design, the cross-section and the base slab of the sluices are relatively greater than what is necessary, which is on the conservative safer side but not as economical. Considering the project requirements and load characteristics, this paper proposes different design solutions for the cross section of the sluices through comparison and analysis of the stresses and foundation deformations on the sluice walls, and base slab by means of FEM and computer simulation. As a result, an optimal cross-sectional structure of the sluices was selected, which significantly reduces the use of concrete, and is much more cost efficient than the existing design.
Ocean Engineering | 2014
Run Liu; Hao Xiong; Xinli Wu; Shuwang Yan
Journal of Central South University | 2014
Run Liu; Wenbin Liu; Xinli Wu; Shuwang Yan
Journal of Pipeline Systems Engineering and Practice | 2013
Run Liu; Shuwang Yan; Xinli Wu
Applied Mathematics and Mechanics-english Edition | 2012
Run Liu; Wugang Wang; Shuwang Yan; Xinli Wu
DS 31: Proceedings of ICED 03, the 14th International Conference on Engineering Design, Stockholm | 2003
Gül E. Okudan; Sven G. Bilén; Xinli Wu