Dynamic Behavior of Reinforced Subgrade Under Long-term Cyclic Loading
2018-11-21 10:01     (点击: )

报告题目:Dynamic Behavior of Reinforced Subgrade Under Long-term Cyclic Loading






High-speed railway and heavy-haul railway have become a major tendency for the development of modern railway in China. Reinforcement is an effective and reliable technique for increasing the strength and stability of subgrade soil. This technique is used in a variety of applications ranging from retaining walls to subgrade and so on. Geogrid is a type of synthetic materials being used to improve engineering properties of soil by providing extra resistance of shear and tensile stress. The dynamic effect of train and railway track has been significantly enhanced by the acceleration of train speed and the increase of axle weight. After years of railway operation, uneven settlement of the subgrade has been observed, then the deformation accelerates, which aggravates the interaction between the railway track and the train. It can cause significant problems in railway infrastructure, and is a challenge for the engineers to keep railway track working well. Therefore, it is of great practical relevance to study the dynamic behavior of reinforced subgrade under traffic loading. The main purpose of this study is to evaluate the effects of influence factors on dynamic elastic modulus of reinforced subgrade. The results of the tests were analyzed and could provide theoretical foundation and further application for the reinforced soil.



GENG Min is a lecturer in School of Civil Engineering, Dalian JiaoTong University. She obtained her PhD from Hebei University of Technology, Tianjin in 2013. She entered the postdoctoral research station of civil engineering of Dalian University of Technology in June, 2014. Dr. Geng’s research focuses on the areas of static and dynamic analysis, numerical simulation of geogrid reinforced subgrade in railway.


上一条:海天学者学术讲座通知-Steel-Timber hybrid structures and connections
下一条:Life-Cycle Reliability, Robustness and Resilience of Aging Bridges and Bridge Networks