Geometric or sub-scale modeling techniques are used for the evaluation of large and complex dynamic structures to ensure accurate reproduction of load path and thus leading to true dynamic characteristics of such stru...Geometric or sub-scale modeling techniques are used for the evaluation of large and complex dynamic structures to ensure accurate reproduction of load path and thus leading to true dynamic characteristics of such structures. The sub-scale modeling technique is very effective in the prediction of vibration characteristics of original large structure when the experimental testing is not feasible due to the absence of a large testing facility. Previous researches were more focused on free and harmonic vibration case with little or no consideration for readily encountered random vibration. A sub-scale modeling technique is proposed for estimating the vibration characteristics of any large scale structure such as Launch vehicles, Mega structures, etc., under various vibration load cases by utilizing precise scaled-down model of that dynamic structure. In order to establish an analytical correlation between the original structure and its scaled models, different scale models of isotropic cantilever beam are selected and analyzed under various vibration conditions（ i.e. free, harmonic and random） using finite element package ANSYS. The developed correlations are also validated through experimental testing The prediction made from the vibratory response of the scaled-down beam through the established sets of correlation are found similar to the response measured from the testing of original beam structure. The established correlations are equally applicable in the prediction of dynamic characteristics of any complex structure through its scaled-down models. This paper presents modified sub-scale modeling technique that enables accurate prediction of vibration characteristics of large and complex structure under not only sinusoidal but also for random vibrations.展开更多
中国气象局乌鲁木齐沙漠气象研究所自2017年开始推进中亚区域快速更新多尺度分析和预报系统RMAPS-CA的研发工作,并在多源资料联合同化技术、参数化方案优化和动力框架调整方面取得了一定的研究成果。在回顾RMAPS-CA业务研发历程的基础上...中国气象局乌鲁木齐沙漠气象研究所自2017年开始推进中亚区域快速更新多尺度分析和预报系统RMAPS-CA的研发工作,并在多源资料联合同化技术、参数化方案优化和动力框架调整方面取得了一定的研究成果。在回顾RMAPS-CA业务研发历程的基础上,重点对雷达反射率同化、高空次网格地形重力波拖曳与近地层阻塞拖曳分离的次网格物理过程、混合地形追随坐标动力框架以及基于贝叶斯模式平均(Bayesian Model Averaging,BMA)方法订正预报产品等方面所取得的研究成果进行综述。针对中亚地区常规观测稀疏且沙漠下垫面范围广等特点,从卫星地面通道同化等方面提出了加强中亚区域数值天气预报业务研发及应用的建议。展开更多
文摘Geometric or sub-scale modeling techniques are used for the evaluation of large and complex dynamic structures to ensure accurate reproduction of load path and thus leading to true dynamic characteristics of such structures. The sub-scale modeling technique is very effective in the prediction of vibration characteristics of original large structure when the experimental testing is not feasible due to the absence of a large testing facility. Previous researches were more focused on free and harmonic vibration case with little or no consideration for readily encountered random vibration. A sub-scale modeling technique is proposed for estimating the vibration characteristics of any large scale structure such as Launch vehicles, Mega structures, etc., under various vibration load cases by utilizing precise scaled-down model of that dynamic structure. In order to establish an analytical correlation between the original structure and its scaled models, different scale models of isotropic cantilever beam are selected and analyzed under various vibration conditions（ i.e. free, harmonic and random） using finite element package ANSYS. The developed correlations are also validated through experimental testing The prediction made from the vibratory response of the scaled-down beam through the established sets of correlation are found similar to the response measured from the testing of original beam structure. The established correlations are equally applicable in the prediction of dynamic characteristics of any complex structure through its scaled-down models. This paper presents modified sub-scale modeling technique that enables accurate prediction of vibration characteristics of large and complex structure under not only sinusoidal but also for random vibrations.
文摘中国气象局乌鲁木齐沙漠气象研究所自2017年开始推进中亚区域快速更新多尺度分析和预报系统RMAPS-CA的研发工作,并在多源资料联合同化技术、参数化方案优化和动力框架调整方面取得了一定的研究成果。在回顾RMAPS-CA业务研发历程的基础上,重点对雷达反射率同化、高空次网格地形重力波拖曳与近地层阻塞拖曳分离的次网格物理过程、混合地形追随坐标动力框架以及基于贝叶斯模式平均(Bayesian Model Averaging,BMA)方法订正预报产品等方面所取得的研究成果进行综述。针对中亚地区常规观测稀疏且沙漠下垫面范围广等特点,从卫星地面通道同化等方面提出了加强中亚区域数值天气预报业务研发及应用的建议。
