Rheological study of fluid flow model through computational flow dynamics analysis and its implications in mud hydraulics

Author(s):  
Pushpa Sharma ◽  
Vamsi Krishna Kudapa
2005 ◽  
Vol 103 (4) ◽  
pp. 662-680 ◽  
Author(s):  
Tamer Hassan ◽  
Eugene V. Timofeev ◽  
Tsutomu Saito ◽  
Hiroaki Shimizu ◽  
Masayuki Ezura ◽  
...  

Object. The authors created a simple, broadly applicable classification of saccular intracranial aneurysms into three categories: sidewall (SW), sidewall with branching vessel (SWBV), and endwall (EW) according to the angiographically documented patterns of their parent arteries. Using computational flow dynamics analysis (CFDA) of simple models representing the three aneurysm categories, the authors analyzed geometry-related risk factors such as neck width, parent artery curvature, and angulation of the branching vessels. Methods. The authors performed CFDAs of 68 aneurysmal geometric formations documented on angiograms that had been obtained in patients with 45 ruptured and 23 unruptured lesions. In successfully studied CFDA cases, the wall shear stress, blood velocity, and pressure maps were examined and correlated with aneurysm rupture points. Statistical analysis of the cases involving aneurysm rupture revealed a statistically significant correlation between aneurysm depth and both neck size (p < 0.0001) and caliber of draining arteries (p < 0.0001). Wider-necked aneurysms or those with wider-caliber draining vessels were found to be high-flow lesions that tended to rupture at larger sizes. Smaller-necked aneurysms or those with smaller-caliber draining vessels were found to be low-flow lesions that tended to rupture at smaller sizes. The incidence of ruptured aneurysms with an aspect ratio (depth/neck) exceeding 1.6 was 100% in the SW and SWBV categories, whereas the incidence was only 28.75% for the EW aneurysms. Conclusions. The application of standardized categories enables the comparison of results for various aneurysms' geometric formations, thus assisting in their management. The proposed classification system may provide a promising means of understanding the natural history of saccular intracranial aneurysms.


2019 ◽  
Vol 813 ◽  
pp. 7-12 ◽  
Author(s):  
Liang Cui ◽  
Andrew G. Gerber ◽  
Gobinda C. Saha

Cold gas dynamic spray (CGDS) is a solid-state material additive manufacturing method where the particulate feedstock is accelerated under high pressure and relatively low temperature to supersonic condition to develop thin coatings or 3D freeform objects. In this paper, a literature review of the CGDS state-of-art, explanation of fundamentals of gas dynamic principles required to generate supersonic flow condition, and demonstration of a flow model based on computational flow dynamics (CFD) are presented. The focus of the preliminary 3D CFD model validation is the demonstration aerodynamics structures such as shocks that appear in the CGDS problem.


2018 ◽  
Vol 9 (7) ◽  
pp. 871-879
Author(s):  
Rajesh Shrivastava ◽  
R. S. Chandel ◽  
Ajay Kumar ◽  
Keerty Shrivastava and Sanjeet Kumar

2021 ◽  
Vol 33 (1) ◽  
pp. 111-119
Author(s):  
M. I. Alamayreh ◽  
A. Fenocchi ◽  
G. Petaccia ◽  
S. Sibilla ◽  
E. Persi

1995 ◽  
Vol 78 (9) ◽  
pp. 2497-2503 ◽  
Author(s):  
Rangarajan Pitchumani ◽  
Vistasp M. Karbhari

The traffic flow conditions in developing countries are predominantly heterogeneous. The early developed traffic flow models have been derived from fluid flow to capture the behavior of the traffic. The very first two-equation model derived from fluid flow is known as the Payne-Whitham or PW Model. Along with the traffic flow, this model also captures the traffic acceleration. However, the PW model adopts a constant driver behavior which cannot be ignored, especially in the situation of heterogeneous traffic.This research focuses on testing the PW model and its suitability for heterogeneous traffic conditions by observing the model response to a bottleneck on a circular road. The PW model is mathematically approximated using the Roe Decomposition and then the performance of the model is observed using simulations.


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