Study of High Resolution Incompressible Flow Simulation Based on Cartesian Mesh

2009 ◽  
Author(s):  
Shun Takahashi ◽  
Takashi Ishida ◽  
Kazuhiro Nakahashi ◽  
Hiroaki Kobayashi ◽  
Koki Okabe ◽  
...  
Keyword(s):  
High Resolution ◽  
Incompressible Flow ◽  
Flow Simulation ◽  
Cartesian Mesh ◽  
Simulation Based

APPLICATION OF THE HIGH-RESOLUTION RANS/ILES TECHNOLOGY FOR FLOW SIMULATION AND THE NEARBY ACOUSTIC FIELD OF NEAR-WALL JETS AND MIXING LAYERS

2016 ◽  
Vol 47 (2) ◽  
pp. 159-183 ◽  
Author(s):  
Leonid Aleksandrovich Bendersky ◽  
Dmitriy Aleksandrovich Lyubimov ◽  
Irina Vasilevna Potekhina ◽  
Alena Eduardovna Fedorenko
Keyword(s):  
High Resolution ◽  
Acoustic Field ◽  
Flow Simulation ◽  
Mixing Layers ◽  
Wall Jets ◽  
Near Wall

An adaptive staggered-tilted grid for incompressible flow simulation

2020 ◽  
Vol 39 (6) ◽  
pp. 1-15
Author(s):  
Yuwei Xiao ◽  
Szeyu Chan ◽  
Siqi Wang ◽  
Bo Zhu ◽  
Xubo Yang
Keyword(s):  
Incompressible Flow ◽  
Flow Simulation

Simulationsgestützte Produktionsplanung flexibler Fertigungssysteme*/Simulation-based production planning of flexible manufacturing systems

2019 ◽  
Vol 109 (04) ◽  
pp. 242-249
Author(s):  
A. Selmaier ◽  
T. Donhauser ◽  
T. Lechler ◽  
J. Zeitler ◽  
J. Franke
Keyword(s):  
Production Planning ◽  
Flexible Manufacturing ◽  
Material Flow ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Flow Simulation ◽  
Limited Extent ◽  
Time Data ◽  
High Data ◽  
Simulation Based

Während sich das Verhalten starr verketteter Systeme relativ einfach mittels Materialflusssimulationen modellieren lässt, sind herkömmliche Simulationsansätze für flexible Fertigungssysteme aufgrund des hohen Datenerhebungs- sowie Parametrisieraufwands nur bedingt geeignet. Jedoch kann durch das automatische Übertragen von Echtzeitdaten in das Simulationsmodell der aktuelle Zustand solcher Systeme deutlich verbessert abgebildet werden. Der Beitrag stellt ein Konzept für die simulationsgestützte Produktionsplanung schnellveränderlicher Systeme vor.   While the behaviour of rigidly linked systems is relatively easy to model by means of material flow simulation, traditional simulation approaches are only suitable to a limited extent for flexible manufacturing systems due to the high data collection and parameterization effort. However, the use of real-time data can significantly improve the simulation of such systems. This paper presents an approach for simulation-based production planning of rapidly changing systems.

scholarly journals 3-Dimensional modeling of 2014-Malin Landslide, Maharashtra using satellite-derived data: A quantitative approach to numerical simulation technique

2018 ◽  
Author(s):  
Shovan Lal Chattoraj ◽  
Prashant K. Champati ray ◽  
Sudhakar Pardeshi ◽  
Vikram Gupta ◽  
Yateesh Ketholia
Keyword(s):  
High Resolution ◽  
Debris Flow ◽  
Flow Simulation ◽  
Simulation Models ◽  
Quantitative Information ◽  
Simulation Technique ◽  
Maximum Height ◽  
Deccan Volcanic Province ◽  
South Indian ◽  
High Resolution Satellite Images

Abstract. Debris flows, a type of landslides, are not nowadays limited only to the periodic devastation of the geologically fragile Himalaya but also ubiquitous in weathered Deccan Volcanic Province of the cratonic south Indian peninsula. Comprehensive assessment of landslide hazard, pertinently, requires process-based modeling using simulation methods. Development of precipitation triggered debris flow simulation models of real events are still at a young stage in India, albeit, especially in tectonically less disturbed regions. A highly objective simulation technique has therefore been envisaged herein to model the debris flow run-out happened in Malin. This takes cues from a high- resolution DEM and other ancillary ground data including geotechnical and frictional parameters. The algorithm is based on Voellmy frictional (dry and turbulent frictional coefficients, μ and ξ respectively) parameters of debris flow with pre-defined release area identified on high-resolution satellite images like LISS-IV and Cartosat-1. The model provides critical quantitative information on flow 1) Velocity, 2) Height, 3) Momentum, and 4) Pressure along the entrainment path. The simulated velocity of about 16 m/s at mid-way the slide plummeted to 6.2 m/s at the base with intermittently increased and decreased values. The simulated maximum height was 3.9 m which gradually declined to 1.5 m near the bottom. The results can be beneficial in engineering intervention like the construction of check dams to digest the initial thrust of the flow and other remedial measures designed for vulnerable slope protection.

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