浸没光滑点插值方法(immersed smoothed point interpolation method,IS-PIM)是一种基于浸没类方法框架,采用光滑点插值方法(smoothed point interpolation method,S-PIM)作为固体求解器的流固耦合计算方法。在IS-PIM以及其它基于浸没...浸没光滑点插值方法(immersed smoothed point interpolation method,IS-PIM)是一种基于浸没类方法框架,采用光滑点插值方法(smoothed point interpolation method,S-PIM)作为固体求解器的流固耦合计算方法。在IS-PIM以及其它基于浸没类方法框架的方法中,流固耦合力是基于虚拟流体拉格朗日网格求解的,但这种求解方式忽略了流固边界节点的速度梯度,导致无法计算边界粘性力,尤其是在模拟低雷诺数流动时,会产生较大的数值误差。本文针对上面的问题,提出一种基于真实流体欧拉网格求解流固耦合力的新思路。经过算例证明,该方法无需额外修正即可有效计算流固边界的粘性力,提高了计算精度。展开更多
Chinese chestnut is an important nut tree around the world.Although the types of Chinese chestnut resources are abundant,resource utilization and protection of chestnut accessions are still very limited.Here,we finger...Chinese chestnut is an important nut tree around the world.Although the types of Chinese chestnut resources are abundant,resource utilization and protection of chestnut accessions are still very limited.Here,we fingerprinted and determined the genetic relationships and core collections of Chinese chestnuts using 18 fluorescently labeled SSR markers generated from 146 chestnut accessions.Our analyses showed that these markers from the tested accessions are highly polymorphic,with an average allele number(N_(a))and polymorphic information content(PIC)of 8.100 and 0.622 per locus,respectively.Using these strongly distinguishing markers,we successfully constructed unique fingerprints for 146 chestnut accessions and selected seven of the SSR markers as core markers to rapidly distinguish different accessions.Our exploration of the genetic relationships among the five cultivar groups indicated that Chinese chestnut accessions are divided into three regional type groups:group I(North China(NC)and Northwest China(NWC)cultivar groups),group II(middle and lower reaches of the Yangtze River(MLY)cultivar group)and group III(Southeast China(SEC)and Southwest China(SWC)cultivar groups).Finally,we selected 45 core collection members which represent the most genetic diversity of Chinese chestnut accessions.This study provides valuable information for identifying chestnut accessions and understanding the phylogenetic relationships among cultivar groups,which can serve as the basis for efficient breeding in the future.展开更多
文摘浸没光滑点插值方法(immersed smoothed point interpolation method,IS-PIM)是一种基于浸没类方法框架,采用光滑点插值方法(smoothed point interpolation method,S-PIM)作为固体求解器的流固耦合计算方法。在IS-PIM以及其它基于浸没类方法框架的方法中,流固耦合力是基于虚拟流体拉格朗日网格求解的,但这种求解方式忽略了流固边界节点的速度梯度,导致无法计算边界粘性力,尤其是在模拟低雷诺数流动时,会产生较大的数值误差。本文针对上面的问题,提出一种基于真实流体欧拉网格求解流固耦合力的新思路。经过算例证明,该方法无需额外修正即可有效计算流固边界的粘性力,提高了计算精度。
基金the Project of Construction of Innovative Teams and Teacher Career Development for Universities and Colleges under Beijing Municipality,China(IDHT20180509)the National Key Research&Development Program of China(2018YFD1000605)the Opening Project of Beijing Key Laboratory of New Technology in Agricultural Application,China(kf2018024)。
文摘Chinese chestnut is an important nut tree around the world.Although the types of Chinese chestnut resources are abundant,resource utilization and protection of chestnut accessions are still very limited.Here,we fingerprinted and determined the genetic relationships and core collections of Chinese chestnuts using 18 fluorescently labeled SSR markers generated from 146 chestnut accessions.Our analyses showed that these markers from the tested accessions are highly polymorphic,with an average allele number(N_(a))and polymorphic information content(PIC)of 8.100 and 0.622 per locus,respectively.Using these strongly distinguishing markers,we successfully constructed unique fingerprints for 146 chestnut accessions and selected seven of the SSR markers as core markers to rapidly distinguish different accessions.Our exploration of the genetic relationships among the five cultivar groups indicated that Chinese chestnut accessions are divided into three regional type groups:group I(North China(NC)and Northwest China(NWC)cultivar groups),group II(middle and lower reaches of the Yangtze River(MLY)cultivar group)and group III(Southeast China(SEC)and Southwest China(SWC)cultivar groups).Finally,we selected 45 core collection members which represent the most genetic diversity of Chinese chestnut accessions.This study provides valuable information for identifying chestnut accessions and understanding the phylogenetic relationships among cultivar groups,which can serve as the basis for efficient breeding in the future.
