WorldWideScience
 
 
1

Large Eddy Simulation of Supersonic Turbulent Flow in ...  

Science.gov (United States)

... AGARD AR-319, Volume 2. Knight, D., Zhou ... a Turbulent Boundary Layer in a Supersonic Flow. ... of Development of Separated Flows in Compression ...

2001-08-01

2

Published ... - Wind Tunnels | NASA Ames Research Center - NASA  

Science.gov (United States)

Sep 5, 2008 ... Russia. The six-component balance for blunt models aerodynamic force measurement in shock tunnel. Lu Zhiquo, Liu Hongshan, Zhang Yan ...

3

On line gas-jet fast tape transport system and its testing experiment  

International Nuclear Information System (INIS)

English 1992 p. 146 China Yuan Shuanggui Xu Shuwei Zhang Xueqian Atomic

4

Experimental research of passive #gamma# scanning system at hot-cell for hull monitoring in nuclear fuel reprocessing plant  

International Nuclear Information System (INIS)

English 1993 p. 161-163 China Zhu Rongbao Yang Liucheng Zhang

5

An identity on the $2m$-th power mean value of the generalized Gauss sums  

CERN Document Server

In this paper, using combinatorial and analytic methods, we prove an exact calculating formula on the $2m$-th power mean value of the generalized quadratic Gauss sums for $m\\geq 2$. This solves a conjecture of He and Zhang [`On the $2k$-th power mean value of the generalized quadratic Gauss sums', Bull. Korean Math. Soc. 48 (2011), No.1, 9-15].

2011-01-01

6

Modelling the impacts of weather and climate variability on crop productivity over a large area: A new super-ensemble-based probabilistic projection  

British Library Electronic Table of Contents (United Kingdom)

Estimates of climate change impacts are plague with uncertainties from many physical, biological, and social-economic processes. Among the urgent research priorities, more comprehensive assessments of impacts that better represent the uncertainties are needed. Here, we develop a new super-ensemble-based probabilistic projection approach to account for the uncertainties from CO2 emission scenarios, climate change scenarios, and biophysical processes in impact assessment model. We demonstrate the approach in addressing the probabilistic changes of maize production in the North China Plain in future. The new process-based general crop model, MCWLA [Tao, F., Yokozawa, M. Zhang, Z., 2009. Modelling the impacts of weather and climate variability on crop productivity over a large area: a new proc...

2009-01-01

7

A gradient-based algorithm for semiparametric models with missing covariates  

British Library Electronic Table of Contents (United Kingdom)

In the parametric regression model, the covariate missing problem under missing at random is considered. It is often desirable to use flexible parametric or semiparametric models for the covariate distribution, which can reduce a potential misspecification problem. Recently, a completely nonparametric approach was developed by [H.Y. Chen, Nonparametric and semiparametric models for missing covariates in parameter regression, J. Amer. Statist. Assoc. 99 (2004), pp. 1176-1189; Z. Zhang and H.E. Rockette, On maximum likelihood estimation in parametric regression with missing covariates, J. Statist. Plann. Inference 47 (2005), pp. 206-223]. Although it does not require a model for the covariate distribution or the missing data mechanism, the proposed method assumes that the covariate distribut...

2011-01-01