scholarly journals Sensitivity of flow evolution on turbulence structure

2016 ◽  
Vol 1 (5) ◽  
Author(s):  
Aashwin A. Mishra ◽  
Gianluca Iaccarino ◽  
Karthik Duraisamy
Keyword(s):  
Turbulence Structure ◽  
Flow Evolution

Statistical Analysis of the Turbulence Structure Downstream of a Short Roughness Strip

2007 ◽  
Vol 34 (2) ◽  
pp. 179-190
Author(s):  
M. O. Oyewola ◽  
M. S. Adaramola ◽  
A. O. Olaberinjo ◽  
O. A. Obiyemi
Keyword(s):  
Statistical Analysis ◽  
Turbulence Structure ◽  
Roughness Strip

Turbulence structure in the spiral wake shed by a lifting wing

AIAA Journal ◽  
1998 ◽  
Vol 36 ◽  
pp. 658-660
Author(s):  
Joseph A. Miranda ◽  
William J. Devenport
Keyword(s):  
Turbulence Structure

scholarly journals A Traffic Flow Evolution Process toward Mixed Equilibrium with Multicriteria of Route Choice Behaviour

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Xiangjun Jiang ◽  
Zhongxiang Huang ◽  
Zhenyu Zhao
Keyword(s):  
Equilibrium State ◽  
Traffic Flow ◽  
Complete Information ◽  
User Equilibrium ◽  
Evolution Model ◽  
Choice Behaviour ◽  
Flow Evolution ◽  
Quantity Adjustment ◽  
Mixed Equilibrium ◽  
Equilibrium Pattern

Based on the price-quantity adjustment behaviour principle of disequilibrium theory, the route choices of travellers are also affected by a quantity signal known as traffic flow, while the route cost is considered as a price signal in economics. Considering the quantity signal’s effect among travellers, a new route comfort choice behaviour criterion and its corresponding equilibrium condition are established. The network travellers are classified into three groups according to their route choice behaviour: travellers in the first group choose the shortest route following the route rapidity behaviour criterion with complete information forming the UE (user equilibrium) pattern, travellers in the second group choose the most comfortable route following the route comfort behaviour criterion with complete information forming the QUE (quantity adjustment user equilibrium) pattern, and travellers in the third group choose a route according to their perceived travel time with incomplete information forming the SUE (stochastic user equilibrium) pattern. The traffic flows of all three groups converge to a new UE-QUE-SUE mixed equilibrium flow pattern after interaction. To depict the traveller-diversified choice behaviour and the traffic flow interaction process, a mixed equilibrium traffic flow evolution model is formulated. After defining the route comfort indicator and the corresponding user equilibrium state, the equilibrium conditions of the three group flows are given under a mixed equilibrium pattern. In addition, an equivalent mathematical programming of the mixed equilibrium traffic flow evolution model is proposed to demonstrate that the developed model converges to the mixed equilibrium state. Finally, numerical examples are examined to evaluate the effect of route comfort proportions on the traffic network flow evolution and analyse the performance of the proposed model.

The turbulence structure of the wake of a thin flat plate at post-stall angles of attack

2017 ◽  
Vol 58 (6) ◽  
Author(s):  
Meraj Mohebi ◽  
David H. Wood ◽  
Robert J. Martinuzzi
Keyword(s):  
Flat Plate ◽  
Turbulence Structure
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