This paper introduces techniques in Gaussian process regression model for spatiotemporal data collected from complex systems.This study focuses on extracting local structures and then constructing surrogate models bas...This paper introduces techniques in Gaussian process regression model for spatiotemporal data collected from complex systems.This study focuses on extracting local structures and then constructing surrogate models based on Gaussian process assumptions.The proposed Dynamic Gaussian Process Regression(DGPR)consists of a sequence of local surrogate models related to each other.In DGPR,the time-based spatial clustering is carried out to divide the systems into sub-spatio-temporal parts whose interior has similar variation patterns,where the temporal information is used as the prior information for training the spatial-surrogate model.The DGPR is robust and especially suitable for the loosely coupled model structure,also allowing for parallel computation.The numerical results of the test function show the effectiveness of DGPR.Furthermore,the shock tube problem is successfully approximated under different phenomenon complexity.展开更多
中国科学院力学研究所复现飞行条件高超声速激波风洞JF12的落成突破了毫秒级试验时间的瓶颈,有效试验时间超过100 ms.因此,对于JF12长试验时间激波风洞的测力试验,基于应变天平技术较为成熟、结构简单等优点,我们考虑采用传统的应变计天...中国科学院力学研究所复现飞行条件高超声速激波风洞JF12的落成突破了毫秒级试验时间的瓶颈,有效试验时间超过100 ms.因此,对于JF12长试验时间激波风洞的测力试验,基于应变天平技术较为成熟、结构简单等优点,我们考虑采用传统的应变计天平.但是,激波风洞来流冲击所带来的惯性力干扰导致天平测力系统产生低频振动,传统内置应变天平的结构刚度很难保证信号有足够的处理周期,这大大限制了激波风洞测力模型的尺寸和重量.针对这个难题,基于JF12激波风洞的运行特点及对测力天平刚度特性的特殊要求,优化设计了应变天平的测力单元结构以适用于这种脉冲动态测力试验,相应加工制造了大刚度、低干扰、高灵敏度的系列脉冲型应变天平,结构形式包含了杆式和盒式,最大载荷(法向力)从1 k N到30 k N,以满足不同尺度飞行器的测力试验需求.同时,我们应用不同尺度的测力模型对研制的脉冲型天平在JF12激波风洞进行了一系列动态气动力测量试验,以进一步评估JF12系列脉冲型应变天平的结构特性和测力性能.展开更多
基金co-supported by the National Natural Science Foundation of China(No.12101608)the NSAF(No.U2230208)the Hunan Provincial Innovation Foundation for Postgraduate,China(No.CX20220034).
文摘This paper introduces techniques in Gaussian process regression model for spatiotemporal data collected from complex systems.This study focuses on extracting local structures and then constructing surrogate models based on Gaussian process assumptions.The proposed Dynamic Gaussian Process Regression(DGPR)consists of a sequence of local surrogate models related to each other.In DGPR,the time-based spatial clustering is carried out to divide the systems into sub-spatio-temporal parts whose interior has similar variation patterns,where the temporal information is used as the prior information for training the spatial-surrogate model.The DGPR is robust and especially suitable for the loosely coupled model structure,also allowing for parallel computation.The numerical results of the test function show the effectiveness of DGPR.Furthermore,the shock tube problem is successfully approximated under different phenomenon complexity.
文摘中国科学院力学研究所复现飞行条件高超声速激波风洞JF12的落成突破了毫秒级试验时间的瓶颈,有效试验时间超过100 ms.因此,对于JF12长试验时间激波风洞的测力试验,基于应变天平技术较为成熟、结构简单等优点,我们考虑采用传统的应变计天平.但是,激波风洞来流冲击所带来的惯性力干扰导致天平测力系统产生低频振动,传统内置应变天平的结构刚度很难保证信号有足够的处理周期,这大大限制了激波风洞测力模型的尺寸和重量.针对这个难题,基于JF12激波风洞的运行特点及对测力天平刚度特性的特殊要求,优化设计了应变天平的测力单元结构以适用于这种脉冲动态测力试验,相应加工制造了大刚度、低干扰、高灵敏度的系列脉冲型应变天平,结构形式包含了杆式和盒式,最大载荷(法向力)从1 k N到30 k N,以满足不同尺度飞行器的测力试验需求.同时,我们应用不同尺度的测力模型对研制的脉冲型天平在JF12激波风洞进行了一系列动态气动力测量试验,以进一步评估JF12系列脉冲型应变天平的结构特性和测力性能.
