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- 저자 : Rui-Zhen Gao (검색결과 2 건)
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Fire Resistances of Restrained Steel Beams Subjected to Fire Loads
Zhen Guo,Rui Gao,Xuecheng Zhang,Xingzhi Jia 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.8
Conventional fire loads and fire resistances of a steel beam still lack an adequate correlation. This paper has established therelationship between the responses of restrained steel beams and fire actions by using a new definition of fire resistances and a newexpression of fire loads. By using reduction factors of elastic modulus and yield strengths, has presented three critical equations topredict the limit state of a restrained steel beam in a fire. Based on these equations and the heat transfer formula, the paper provided anew definition of fire resistances. By using the heat release rate and effective rate coefficient of thermal absorption, a new expressionof fire loads has been argued. Compared with tests, the proposed approach in this paper is in good agreement with the measuredvalues in tests. The results show that the new fire resistances could be able to reflect the facts of heat transfers and duration time. Incontrast to conventional fire loads, the new fire loads are more efficient to indicate a fire load.
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Jing-Jun Zhang,Rui-Zhen Gao,Zhi-Li Fang,Zhong-Qi Zhang,Shao-Bo Zhang 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.5
This paper studies the trajectory tracking control for the nonholonomic wheeled mobile robot (WMR) based on model predictive control (MPC). Concerning overcome stable problem occurred from optimization control of MPC, we develop an MPC controller subjected to Lyapunov-based input constraints (LMPC) to solve the trajectory tracking problem for the nonholonomic WMR. The Lyapunov stable characteristic of the feedback linearization (FL) is utilized to ensure the stability of the control system. The recursive feasibility of input and stability of the control system based on LMPC is analyzed by the contraction constraint of FL. Besides, the paper also demonstrates the stability of the trajectory tracking control by the receding horizon optimized control solution embedded in LMPC. The simulation experiment results significantly verify the validity of the proposed LMPC approach in trajectory tracking.
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