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8篇 您的检索式:作者名="Lieping Zhang"
    题名 作者 年代 出处 被引量
1Collapse simulation of a super high-rise building subjected to extremely strong earthquakes显示文摘In recent years, super high-rise buildings (>500 m) are developing very quickly and become an important frontier of civil engineering. The collapse resistance of super high-rise buildings subjected to extremely strong earthquake is a critical problem that must be intensively studied. This paper builds up a nonlinear finite element model of the tallest building in China, Shang- hai Tower (632 m), and proposes the modeling method and failure criteria for different structural elements. The dynamic char- acters of this building are then analyzed, and the possible failure modes and collapse processes due to earthquakes are pre- dicted, as well as the corresponding collapse mechanism. This work will be helpful in collapse prevention and the seismic design of super high-rise buildings.LU Xiao LU XinZheng ZHANG WanKai YE LiePing 2011Science China(Technological Sciences)2011,54,10:49
2Experimental study on seismic strengthening of RC columns with wrapped CFRP sheets 显示文摘Ye Lieping Zhang Ke Zhao Shuhong 2003Construction and Building Materials2003,17,:1
3Combination of Bamboo Filling and FRP Wrapping to Strengthen Steel Members in Compression显示文摘Peng Feng Yanhua Zhang Yu Bai Lieping Ye 2013Journal of Composites for Construction2013,,3:1
4The growth of private hospitals and their health workforce in Chi- na: a comparison with public hospitals 显示文摘Tang Chengxiang Zhang Yucheng Chen Lieping 2014Health Policy Plan2014,,29:1
5The growth of private hospitals and their health workforce in China:a comparison with public hospitals显示文摘Tang Chengxiang Zhang Yucheng Chen Lieping 2014Health Policy Plan2014,29,:1
6The growth of private hospitals and their health workforce in China: a comparison with public hospitals 显示文摘Chengxiang Tang Yucheng Zhang Lieping Chcn ct al 2014Health Policy and Planning2014,29,:1
7Strengthening of steel members in compression by mortar-filled FRP tubes显示文摘Peng Feng Yanhua Zhang Yu Bai Lieping Ye 2013Thin-Walled Structures2013,,:1
8RRT Autonomous Detection Algorithm Based on Multiple Pilot Point Bias Strategy and Karto SLAM Algorithm显示文摘A Rapid-exploration Random Tree(RRT)autonomous detection algorithm based on the multi-guide-node deflection strategy and Karto Simultaneous Localization and Mapping(SLAM)algorithm was proposed to solve the problems of low efficiency of detecting frontier boundary points and drift distortion in the process of map building in the traditional RRT algorithm in the autonomous detection strategy of mobile robot.Firstly,an RRT global frontier boundary point detection algorithm based on the multi-guide-node deflection strategy was put forward,which introduces the reference value of guide nodes’deflection probability into the random sampling function so that the global search tree can detect frontier boundary points towards the guide nodes according to random probability.After that,a new autonomous detection algorithm for mobile robots was proposed by combining the graph optimization-based Karto SLAM algorithm with the previously improved RRT algorithm.The algorithm simulation platform based on the Gazebo platform was built.The simulation results show that compared with the traditional RRT algorithm,the proposed RRT autonomous detection algorithm can effectively reduce the time of autonomous detection,plan the length of detection trajectory under the condition of high average detection coverage,and complete the task of autonomous detection mapping more efficiently.Finally,with the help of the ROS-based mobile robot experimental platform,the performance of the proposed algorithm was verified in the real environment of different obstacles.The experimental results show that in the actual environment of simple and complex obstacles,the proposed RRT autonomous detection algorithm was superior to the traditional RRT autonomous detection algorithm in the time of detection,length of detection trajectory,and average coverage,thus improving the efficiency and accuracy of autonomous detection.Lieping Zhang Xiaoxu Shi Liu Tang Yilin Wang Jiansheng Peng Jianchu Zou 2024Computers, Materials & Continua2024,78,2:0
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