由于湍流混合直接观测技术难度大、成本高,很大程度限制湍流混合的研究,所以基于温、盐、流资料估算海洋湍流混合的方法应运而生。本文应用在吕宋海峡观测到的23个自由下降微结构湍流剖面仪观测数据和水文观测数据,首次对目前常用的Greg...由于湍流混合直接观测技术难度大、成本高,很大程度限制湍流混合的研究,所以基于温、盐、流资料估算海洋湍流混合的方法应运而生。本文应用在吕宋海峡观测到的23个自由下降微结构湍流剖面仪观测数据和水文观测数据,首次对目前常用的Gregg-Henyey-Polzin(GHP)细尺度参数化、Mackinnon and Gregg(MG)参数化和Thorpe尺度方法进行比较研究,评估它们的适用性。发现GHP参数化方法能够很好地估算吕宋海峡的湍流混合。虽然GHP参数化方法估算的耗散率总体上要偏弱于观测的结果,但估算和观测的差异在2倍以内的结果占71%,与微结构湍流剖面仪观测到的耗散率在水平分布和垂向分布上呈现出相同的分布特征。基于MG参数化方法发现估算的吕宋海峡西侧1200m以浅的耗散率比观测值大,但总体上呈现出相同的分布特征。另外,MG参数化估算与观测差异在2倍以内的结果占58%。表明相比于GHP参数化方法,MG参数化方法的估算值更偏离观测值。Thorpe尺度方法在估算吕宋海峡的耗散率时,估算和观测的差异在2倍以内的结果仅有30%,70%的估算结果与观测结果相差高出1个量级,空间分布上与观测结果差异较大。对比吕宋海峡湍流混合参数化方法的结果表明GHP参数化方法最优,MG参数化方法其次,Thorpe尺度方法相对GHP和MG参数化方法较差。展开更多
The objective of this work is to model the microstructure of asphalt mixture and build virtual test for asphalt mixture by using Particle Flow Code in three dimensions(PFC^(3D))based on three-dimensional discrete elem...The objective of this work is to model the microstructure of asphalt mixture and build virtual test for asphalt mixture by using Particle Flow Code in three dimensions(PFC^(3D))based on three-dimensional discrete element method.A randomly generating algorithm was proposed to capture the three-dimensional irregular shape of coarse aggregate.And then,modeling algorithm and method for graded aggregates were built.Based on the combination of modeling of coarse aggregates,asphalt mastic and air voids,three-dimensional virtual sample of asphalt mixture was modeled by using PFC^(3D).Virtual tests for penetration test of aggregate and uniaxial creep test of asphalt mixture were built and conducted by using PFC^(3D).By comparison of the testing results between virtual tests and actual laboratory tests,the validity of the microstructure modeling and virtual test built in this study was verified.Additionally,compared with laboratory test,the virtual test is easier to conduct and has less variability.It is proved that microstructure modeling and virtual test based on three-dimensional discrete element method is a promising way to conduct research of asphalt mixture.展开更多
文摘由于湍流混合直接观测技术难度大、成本高,很大程度限制湍流混合的研究,所以基于温、盐、流资料估算海洋湍流混合的方法应运而生。本文应用在吕宋海峡观测到的23个自由下降微结构湍流剖面仪观测数据和水文观测数据,首次对目前常用的Gregg-Henyey-Polzin(GHP)细尺度参数化、Mackinnon and Gregg(MG)参数化和Thorpe尺度方法进行比较研究,评估它们的适用性。发现GHP参数化方法能够很好地估算吕宋海峡的湍流混合。虽然GHP参数化方法估算的耗散率总体上要偏弱于观测的结果,但估算和观测的差异在2倍以内的结果占71%,与微结构湍流剖面仪观测到的耗散率在水平分布和垂向分布上呈现出相同的分布特征。基于MG参数化方法发现估算的吕宋海峡西侧1200m以浅的耗散率比观测值大,但总体上呈现出相同的分布特征。另外,MG参数化估算与观测差异在2倍以内的结果占58%。表明相比于GHP参数化方法,MG参数化方法的估算值更偏离观测值。Thorpe尺度方法在估算吕宋海峡的耗散率时,估算和观测的差异在2倍以内的结果仅有30%,70%的估算结果与观测结果相差高出1个量级,空间分布上与观测结果差异较大。对比吕宋海峡湍流混合参数化方法的结果表明GHP参数化方法最优,MG参数化方法其次,Thorpe尺度方法相对GHP和MG参数化方法较差。
基金Project(51378006) supported by National Natural Science Foundation of ChinaProject(141076) supported by Huoyingdong Foundation of the Ministry of Education of China+1 种基金Project(2242015R30027) supported by Excellent Young Teacher Program of Southeast University,ChinaProject(BK20140109) supported by the Natural Science Foundation of Jiangsu Province,China
文摘The objective of this work is to model the microstructure of asphalt mixture and build virtual test for asphalt mixture by using Particle Flow Code in three dimensions(PFC^(3D))based on three-dimensional discrete element method.A randomly generating algorithm was proposed to capture the three-dimensional irregular shape of coarse aggregate.And then,modeling algorithm and method for graded aggregates were built.Based on the combination of modeling of coarse aggregates,asphalt mastic and air voids,three-dimensional virtual sample of asphalt mixture was modeled by using PFC^(3D).Virtual tests for penetration test of aggregate and uniaxial creep test of asphalt mixture were built and conducted by using PFC^(3D).By comparison of the testing results between virtual tests and actual laboratory tests,the validity of the microstructure modeling and virtual test built in this study was verified.Additionally,compared with laboratory test,the virtual test is easier to conduct and has less variability.It is proved that microstructure modeling and virtual test based on three-dimensional discrete element method is a promising way to conduct research of asphalt mixture.
