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- 저자 : Yabo He (검색결과 2 건)
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Building Waste Output Forecasting Model based on Gray Metabolism GM (1,1)
Yabo He,Wang Hongtao,Yang Lin,Qin Wei4 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.2
With the increase of construction investment and urbanization, building waste output in our country is huge. This paper first constructs a set based on the construction area and per unit area of garbage generated quantity of urban building waste estimation method, then using grey system theory prediction and analysis of the next four years of building waste output. By the introduction of metabolic thought, the grey metabolic GM (1,1) forecast model was constructed, overcoming the shortages of conventional GM (1, 1) model. Prediction results show that the model is higher than the conventional GM (1,1) model prediction accuracy, which is suitable for the prediction of the short term of building waste in our country and for the treatment and reuse of building waste to provide certain reference.
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Energy Evolution and Transfer Characteristics in Spatial Particle–Spring–Beam Model
Weipeng Hu,Yabo He,Fan Zhang,Qiang Zhou 한국항공우주학회 2024 International Journal of Aeronautical and Space Sc Vol.25 No.2
Reproducing the orbit–attitude–vibration coupling dynamic behaviors of the complex flexible spatial structure provides the basis on the orbit design, the attitude adjustment and the vibration control of the structure. In this paper, the tug–tether–debris system is simplified as a spatial particle–spring–beam physical model, in which, the non-smooth stiffness coefficient of the spring is assumed to describe the tension/loose state switching of the tether. Based on the variational principle, the coupling dynamic equations are deduced for the spatial particle–spring–beam model. To investigate the energy evolution and the energy transfer characteristics of the model, the structure-preserving iteration method is developed focusing on the non-smooth stiffness coefficient of the spring. In the structure-preserving iteration method, the symplectic Runge–Kutta method is employed to solve the ordinary differential equations mainly controlling the plane motion of the system and the multi-symplectic method is employed to solve the transverse vibration of the beam in the model. The structure-preserving characteristics of the iteration method result from the symplectic structure contained in the symplectic Runge–Kutta method and the multi-symplectic structure contained in the multi-symplectic method. In the stages when the spring is in a complete loose or a complete tension state, the total energy of system is a conservative quantity that is preserved by the structure- preserving iteration method in the simulation. In addition, the energy transfer laws of the system in the tension process of the spring are revealed numerically, which gives some guidance on the active flexible space debris removal strategy design directly.
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