Flow Modeling

Advances in Transitional Flow Modeling: Applications to Helicopter Rotors  eBooks & eLearning

Posted by AvaxGenius at Dec. 6, 2020
Advances in Transitional Flow Modeling: Applications to Helicopter Rotors

Advances in Transitional Flow Modeling: Applications to Helicopter Rotors By Chunhua Sheng
English | EPUB | 140 Pages | 2017 | ISBN : 3319325752 | 4.8 MB

This book provides a comprehensive description of numerical methods and validation processes for predicting transitional flows based on the Langtry–Menter local correlation-based transition model, integrated with both one-equation Spalart–Allmaras (S–A) and two-equation Shear Stress Transport (SST) turbulence models. A comparative study is presented to combine the respective merits of the two coupling methods in the context of predicting the boundary-layer transition phenomenon from fundamental benchmark flows to realistic helicopter rotors.

Mastering Modflow: Advanced Groundwater Flow Modeling  eBooks & eLearning

Posted by ELK1nG at July 7, 2023
Mastering Modflow: Advanced Groundwater Flow Modeling

Mastering Modflow: Advanced Groundwater Flow Modeling
Published 7/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.66 GB | Duration: 3h 15m

Unlocking the Secrets of Steady State and Transient Simulation in MODFLOW | In English

Applied Flow Technology Arrow 10.0 (1100)  Software

Posted by scutter at Oct. 5, 2023
Applied Flow Technology Arrow 10.0 (1100)

Applied Flow Technology Arrow 10.0 (1100) | 375.4 mb

Applied Flow Technology (ATF) announced the release of Arrow 10.0.1100 (2023.10.02) is a fluid dynamic simulation tool used to calculate pressure drop and flow distribution in gas piping and ducting systems. Designed for compressible flow systems containing: steam, compressed air, chemical and petrochemical process gases, natural gas transport, etc.
Flexible AC Transmission Systems (FACTS): Newton Power-Flow Modeling of Voltage-Sourced Converter-Based Controllers

Suman Bhowmick, "Flexible AC Transmission Systems (FACTS): Newton Power-Flow Modeling of Voltage-Sourced Converter-Based Controllers"
2016 | ISBN-10: 1498756190 | 319 pages | PDF | 7 MB

CFD Module : Turbulent Flow Modeling  eBooks & eLearning

Posted by readerXXI at Sept. 17, 2018
CFD Module : Turbulent Flow Modeling

CFD Module : Turbulent Flow Modeling
by Mehrzad Tabatabaian
English | 2015 | ISBN: 1937585433 | 217 Pages | PDF | 17 MB

Multicomponent Flow Modeling (Repost)  eBooks & eLearning

Posted by step778 at Oct. 17, 2014
Multicomponent Flow Modeling (Repost)

Vincent Giovangigli, "Multicomponent Flow Modeling"
1999 | pages: 338 | ISBN: 0817640487 | PDF | 24,8 mb
Multicomponent Flow Modeling (Modeling and Simulation in Science, Engineering and Technology)

Multicomponent Flow Modeling (Modeling and Simulation in Science, Engineering and Technology) By Vincent Giovangigli
1999 | 337 Pages | ISBN: 0817640487 | PDF | 25 MB
OpenGeoSys-Tutorial: Computational Hydrology I: Groundwater Flow Modeling (Repost)

Agnes Sachse, Karsten Rink, Wenkui He, "OpenGeoSys-Tutorial: Computational Hydrology I: Groundwater Flow Modeling"
English | 2015 | ISBN: 3319133349 | PDF | pages: 117 | 17.9 mb

OpenGeoSys-Tutorial: Computational Hydrology I: Groundwater Flow Modeling  eBooks & eLearning

Posted by insetes at April 28, 2015
OpenGeoSys-Tutorial: Computational Hydrology I: Groundwater Flow Modeling

OpenGeoSys-Tutorial: Computational Hydrology I: Groundwater Flow Modeling By Agnes Sachse, Karsten Rink, Wenkui He
2015 | 128 Pages | ISBN: 3319133349 | PDF | 18 MB

Modeling and Computational Methods for Kinetic Equations  eBooks & eLearning

Posted by AvaxGenius at July 25, 2023
Modeling and Computational Methods for Kinetic Equations

Modeling and Computational Methods for Kinetic Equations by Pierre Degond, Lorenzo Pareschi, Giovanni Russo
English | PDF | 2004 | 360 Pages | ISBN : 0817632549 | 25.1 MB

In recent years kinetic theory has developed in many areas of the physical sciences and engineering, and has extended the borders of its traditional fields of application. New applications in traffic flow engineering, granular media modeling, and polymer and phase transition physics have resulted in new numerical algorithms which depart from traditional stochastic Monte–Carlo methods.