随着航天飞行器面临的力学环境愈发严酷,热与振动环境已成为造成结构损伤和破坏、产品功能下降或失效的关键因素。建立了一种考虑三轴振动与热复合环境的虚拟试验方法,以简化的筒形舱段为对象,分别建立石英灯阵高温加热仿真模型与三轴...随着航天飞行器面临的力学环境愈发严酷,热与振动环境已成为造成结构损伤和破坏、产品功能下降或失效的关键因素。建立了一种考虑三轴振动与热复合环境的虚拟试验方法,以简化的筒形舱段为对象,分别建立石英灯阵高温加热仿真模型与三轴振动仿真模型,并通过实际试验数据得到振动台-夹具传递函数,将三者结合以建立三轴虚拟热振仿真模型。分别通过舱段结构单轴热振试验与三轴热振试验来验证所建模型的准确性,并基于验证后的模型获取三轴振动下结构中央测点随温度时变的传递函数变化情况。由舱段模态试验验证舱段有限元模型的准确性,对比前6阶模态频率误差不超过5%。在单轴热振试验中,仿真模型各测点响应均方根值(root mean square,RMS)与试验加速度响应RMS的误差不超过15%;在三轴向热振试验中RMS误差不超过20%,验证了所建虚拟热振模型的有效性。展开更多
Sparse representation is an effective data classification algorithm that depends on the known training samples to categorise the test sample.It has been widely used in various image classification tasks.Sparseness in ...Sparse representation is an effective data classification algorithm that depends on the known training samples to categorise the test sample.It has been widely used in various image classification tasks.Sparseness in sparse representation means that only a few of instances selected from all training samples can effectively convey the essential class-specific information of the test sample,which is very important for classification.For deformable images such as human faces,pixels at the same location of different images of the same subject usually have different intensities.Therefore,extracting features and correctly classifying such deformable objects is very hard.Moreover,the lighting,attitude and occlusion cause more difficulty.Considering the problems and challenges listed above,a novel image representation and classification algorithm is proposed.First,the authors’algorithm generates virtual samples by a non-linear variation method.This method can effectively extract the low-frequency information of space-domain features of the original image,which is very useful for representing deformable objects.The combination of the original and virtual samples is more beneficial to improve the clas-sification performance and robustness of the algorithm.Thereby,the authors’algorithm calculates the expression coefficients of the original and virtual samples separately using the sparse representation principle and obtains the final score by a designed efficient score fusion scheme.The weighting coefficients in the score fusion scheme are set entirely automatically.Finally,the algorithm classifies the samples based on the final scores.The experimental results show that our method performs better classification than conventional sparse representation algorithms.展开更多
The China Spallation Neutron Source(CSNS) upgrade project(CSNS-Ⅱ) aims to enhance the beam power from 100 to 500 kW. A dual-harmonic accelerating method has been adopted to alleviate the stronger space-charge effect ...The China Spallation Neutron Source(CSNS) upgrade project(CSNS-Ⅱ) aims to enhance the beam power from 100 to 500 kW. A dual-harmonic accelerating method has been adopted to alleviate the stronger space-charge effect in rapid-cycling synchrotrons owing to the increased beam intensity. To satisfy the requirements of dual-harmonic acceleration, a new radiofrequency(RF) system based on a magnetic alloy-loaded cavity is proposed. This paper presents design considerations and experimental results regarding the performance evaluation of the proposed RF system through high-power tests and beam commissioning. The test results demonstrate that the RF system satisfies the desired specifications and affords significant benefits for CSNS-Ⅱ.展开更多
文摘随着航天飞行器面临的力学环境愈发严酷,热与振动环境已成为造成结构损伤和破坏、产品功能下降或失效的关键因素。建立了一种考虑三轴振动与热复合环境的虚拟试验方法,以简化的筒形舱段为对象,分别建立石英灯阵高温加热仿真模型与三轴振动仿真模型,并通过实际试验数据得到振动台-夹具传递函数,将三者结合以建立三轴虚拟热振仿真模型。分别通过舱段结构单轴热振试验与三轴热振试验来验证所建模型的准确性,并基于验证后的模型获取三轴振动下结构中央测点随温度时变的传递函数变化情况。由舱段模态试验验证舱段有限元模型的准确性,对比前6阶模态频率误差不超过5%。在单轴热振试验中,仿真模型各测点响应均方根值(root mean square,RMS)与试验加速度响应RMS的误差不超过15%;在三轴向热振试验中RMS误差不超过20%,验证了所建虚拟热振模型的有效性。
文摘Sparse representation is an effective data classification algorithm that depends on the known training samples to categorise the test sample.It has been widely used in various image classification tasks.Sparseness in sparse representation means that only a few of instances selected from all training samples can effectively convey the essential class-specific information of the test sample,which is very important for classification.For deformable images such as human faces,pixels at the same location of different images of the same subject usually have different intensities.Therefore,extracting features and correctly classifying such deformable objects is very hard.Moreover,the lighting,attitude and occlusion cause more difficulty.Considering the problems and challenges listed above,a novel image representation and classification algorithm is proposed.First,the authors’algorithm generates virtual samples by a non-linear variation method.This method can effectively extract the low-frequency information of space-domain features of the original image,which is very useful for representing deformable objects.The combination of the original and virtual samples is more beneficial to improve the clas-sification performance and robustness of the algorithm.Thereby,the authors’algorithm calculates the expression coefficients of the original and virtual samples separately using the sparse representation principle and obtains the final score by a designed efficient score fusion scheme.The weighting coefficients in the score fusion scheme are set entirely automatically.Finally,the algorithm classifies the samples based on the final scores.The experimental results show that our method performs better classification than conventional sparse representation algorithms.
基金This work was supported by funds from the National Natural Science Foundation of China(Nos.11875270,U1832210,12205317)Youth Innovation Promotion Association CAS(No.2018015)Guangdong Basic and Applied Basic Research Foundation(No.2019B1515120046).
文摘The China Spallation Neutron Source(CSNS) upgrade project(CSNS-Ⅱ) aims to enhance the beam power from 100 to 500 kW. A dual-harmonic accelerating method has been adopted to alleviate the stronger space-charge effect in rapid-cycling synchrotrons owing to the increased beam intensity. To satisfy the requirements of dual-harmonic acceleration, a new radiofrequency(RF) system based on a magnetic alloy-loaded cavity is proposed. This paper presents design considerations and experimental results regarding the performance evaluation of the proposed RF system through high-power tests and beam commissioning. The test results demonstrate that the RF system satisfies the desired specifications and affords significant benefits for CSNS-Ⅱ.
