Drag Coefficient of Tall Building by CFD Method using ANSYS

Similar documents
Comparison of Numerical Prediction of Pressure Coefficient on Rectangular Small Building

Analysis of Flow over a Convertible

PRESSURE COEFFICIENTS ACTING UPON THE CYLINDER OBTAINED BY NUMERICAL AND EXPERIMENTAL ANALYSIS

Numerical analysis of three-lobe journal bearing with CFD and FSI

Basic Concepts: Drag. Education Community

PRELIMINARY STUDY OF COMPUTATIONAL SETUP FOR URBAN STREET CANYONS. by MUHAMMAD NOOR AFIQ WITRI, M.Eng

Active Control of Separated Cascade Flow

ME 431A/538A/538B Homework 22 October 2018 Advanced Fluid Mechanics

Enhancement of Heat Transfer Effectiveness of Plate-pin fin heat sinks With Central hole and Staggered positioning of Pin fins

Numerical Simulation of Flow Around An Elliptical Cylinder at High Reynolds Numbers

Prediction of Performance Characteristics of Orifice Plate Assembly for Non-Standard Conditions Using CFD

International Journal of Research in Advent Technology, Vol.6, No.11, November 2018 E-ISSN: Available online at

Coupled Fluid and Heat Flow Analysis Around NACA Aerofoil Profiles at Various Mach Numbers

ScienceDirect. Optimization of the size and launch conditions of a discus

FLUID FLOW AND HEAT TRANSFER INVESTIGATION OF PERFORATED HEAT SINK UNDER MIXED CONVECTION 1 Mr. Shardul R Kulkarni, 2 Prof.S.Y.

ABSTRACT I. INTRODUCTION

GENERALISATION OF THE TWO-SCALE MOMENTUM THEORY FOR COUPLED WIND TURBINE/FARM OPTIMISATION

Manhar Dhanak Florida Atlantic University Graduate Student: Zaqie Reza

An Overview of Impellers, Velocity Profile and Reactor Design

CFD ANALYSIS OF CD NOZZLE AND EFFECT OF NOZZLE PRESSURE RATIO ON PRESSURE AND VELOCITY FOR SUDDENLY EXPANDED FLOWS. Kuala Lumpur, Malaysia

Chapter 3. CFD Analysis of Radiator

report: Computational Fluid Dynamics Modelling of the Vortex Ventilator MK4 Rev 2 Ventrite International

NUMERICAL AND WIND TUNNEL INVESTIGATION ON AERODYNAMIC COEFFICIENTS OF A THREE BLADED SAVONIUS WIND TURBINE WITH AND WITHOUT OVERLAP BETWEEN BLADES

ifly Post Field Trip Activity Teacher Instructions Grades 6-8

Optimization of Divergent Angle of a Rocket Engine Nozzle Using Computational Fluid Dynamics

A CFD Analysis Of A Solar Air Heater Having Triangular Rib Roughness On The Absorber Plate

Momentum (Newton s 2nd Law of Motion)

Acoustic and Vibration Stability Analysis of Furnace System in Supercritical Boiler

Computational Fluid Dynamics Study Of Fluid Flow And Aerodynamic Forces On An Airfoil S.Kandwal 1, Dr. S. Singh 2

Numerical Modelling For Hydro Energy Convertor: Impulse Turbine

Numerical Investigation of Vortex Induced Vibration of Two Cylinders in Side by Side Arrangement

Enhancement of heat transfer on Engine Cylinder Block

International Journal of Engineering Research and General Science Volume 3, Issue 6, November-December, 2015 ISSN

Validation 3. Laminar Flow Around a Circular Cylinder

Coupling Physics. Tomasz Stelmach Senior Application Engineer

DESIGN & COMPUTATIONAL FLUID DYNAMICS ANALYSES OF AN AXISYMMETRIC NOZZLE AT TRANSONIC FREE STREAM CONDITIONS

Tutorial: Premixed Flow in a Conical Chamber using the Finite-Rate Chemistry Model

Drag reduction in a class 8 truck - scaled down model

Explicit algebraic Reynolds stress models for internal flows

DYNAMIC ANALYSIS OF WIND EFFECTS BY USING AN ARTIFICAL WIND FUNCTION

STUDY OF A PASSIVE SOLAR WINTER HEATING SYSTEM BASED ON TROMBE WALL

Investigation of Flow Profile in Open Channels using CFD

Design and analysis of a new Sedan Car: Analysis from Aerodynamic Perspective

Proceedings of Al-Azhar Engineering 9 th International Conference, April, 2007, Cairo, Egypt

CHAPTER 7 NUMERICAL MODELLING OF A SPIRAL HEAT EXCHANGER USING CFD TECHNIQUE

COMPARISION OF FLOW ANALYSIS THROUGH A DIFFERENT GEOMETRY OF FLOWMETERS USING FLUENT SOFTWARE

International Journal of Scientific & Engineering Research, Volume 6, Issue 5, May ISSN

Investigation of Jet Impingement on Flat Plate Using Triangular and Trapezoid Vortex Generators

Air Drag on a Stratospheric Balloon in Tropical Regions. H.P. Lee, K.M. Lim, B.C. Khoo, Q. Sun

3D Numerical Simulation of Supercritical Flow in Bends of Channel

WALL ROUGHNESS EFFECTS ON SHOCK BOUNDARY LAYER INTERACTION FLOWS

Heat Transfer from An Impingement Jet onto A Heated Half-Prolate Spheroid Attached to A Heated Flat Plate

CFD Analysis of Air Drag Breaking System

Numerical Analysis of Tube-Fin Heat Exchanger using Fluent

A Comparative Analysis of Turbulent Pipe Flow Using k And k Models

ABSTRACT I. INTRODUCTION

HEAT TRANSFER CAPABILITY OF A THERMOSYPHON HEAT TRANSPORT DEVICE WITH EXPERIMENTAL AND CFD STUDIES

Modeling and analysis of brake drum with extended fins on the

NUMERICAL INVESTIGATION OF VERTICAL AXIS WIND TURBINE WITH TWIST ANGLE IN BLADES

PARTICLE DISPERSION IN ENCLOSED SPACES USING A LAGRANGIAN MODEL

Numerical Study on Flow Field for a Solar Collector at Various Inflow Incidence Angles *

Wind interference effect on an octagonal plan shaped tall building due to square plan shaped tall buildings

Basic Fluid Mechanics

COMPUTATIONAL SIMULATION OF THE FLOW PAST AN AIRFOIL FOR AN UNMANNED AERIAL VEHICLE

Computational Fluid Dynamics Based Analysis of Angled Rib Roughened Solar Air Heater Duct

USE OF CFD TOOL ANSYS FLUENT FOR FIRE SAFETY IMPROVEMENT OF AN INDOOR SPORTS ARENA

Fluid Mechanics. du dy

FLOW MALDISTRIBUTION IN A SIMPLIFIED PLATE HEAT EXCHANGER MODEL - A Numerical Study

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY

Comparison of Flow and Sedimentation Pattern for three Designs of Storm Water Tanks by Numerical Modelling

Shear stress and shear rates for µ-slides y-shaped based on Computational Fluid Dynamics (CFD)

Fig -3 Multitube manometer setup. Fig -1 Experimental setup

FLOW ANALYSIS AND DETERMINATION OF DRAG FORCES FOR SPIKES OF CROPS. S. Kırmacı and M. Pakdemirli

Head loss coefficient through sharp-edged orifices

A Discussion of Low Reynolds Number Flow for the Two-Dimensional Benchmark Test Case

Numerical Simulation of Supersonic Expansion in Conical and Contour Nozzle

Numerical analysis of fluid flow and heat transfer in 2D sinusoidal wavy channel

Turbulent Compressible Flow in a Slender Tube

MODELING OF THE HYDROPLANING PHENOMENON. Ong G P and Fwa T F Department of Civil Engineering National University of Singapore INTRODUCTION

Computational Fluid Dynamics Overview, Scope and Relevance

Fluid Dynamic Simulations of Wind Turbines. John Abraham, Brian Plourde, Greg Mowry University of St. Thomas

Numerical Investigation of Multijet Air Impingement on Pin Fin Heat Sink with Effusion Slots

CFD ANALYSIS OF CONVERGENT-DIVERGENT NOZZLE

DEVELOPED LAMINAR FLOW IN PIPE USING COMPUTATIONAL FLUID DYNAMICS M.

TURBULENT FLOW ACROSS A ROTATING CYLINDER WITH SURFACE ROUGHNESS

Stopper rod tilt and effect on nozzle flow. Rajneesh Chaudhary (Graduate Student) & Brian G. Thomas. Department of Mechanical Science and Engineering

Effect of radius ratio on pressure drop across a 90 bend for high concentration coal ash slurries

CFD AND CONJUGATE HEAT TRANSFER ANALYSIS OF HEAT SINKS WITH DIFFERENT FIN GEOMETRIES SUBJECTED TO FORCED CONVECTION USED IN ELECTRONICS COOLING

Numerical study of battle damaged two-dimensional wings

FE Fluids Review March 23, 2012 Steve Burian (Civil & Environmental Engineering)

Analysis of Missile Bodies with Various Cross sections and Enhancement of Aerodynamic Performance

Theory & Applications of Computational Fluid Dynamics CFD

STRUCTURAL ANALYSIS OF A WESTFALL 2800 MIXER, BETA = 0.8 GFS R1. By Kimbal A. Hall, PE. Submitted to: WESTFALL MANUFACTURING COMPANY

Modeling and simulation of Convergent-Divergent Nozzle Using Computational Fluid Dynamics

On the correlation of the acoustic signal of microphones mounted on a flat plate to the turbulence of an impinging jet

Applied CFD Project 1. Christopher Light MAE 598

BOUNDARY LAYER ANALYSIS WITH NAVIER-STOKES EQUATION IN 2D CHANNEL FLOW

ANALYSIS AND OPTIMIZATION OF A VERTICAL AXIS WIND TURBINE SAVONIUS-TYPE PANEL USING CFD TECHNIQUES

Self-Excited Vibration in Hydraulic Ball Check Valve

University of Huddersfield Repository

Transcription:

Drag Coefficient of Tall Building by CFD Method using ANSYS Sharma P K 1, Dr. Parekar S R 2 1ME Student, Department of Civil Engineering, AISSM S, Pune, Maharashtra, India 2HOD, Department of Civil Engineering, AISSM S, Pune, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract Wind is a more effective lateral load than Earthquake for a tall building owing to larger time period. It is suggested in literature, to analyze a building over 200 meters for wind loads. Generally, wind tunnels are used for analyzing only some important tall buildings because of higher modeling cost and unavailability of suitable wind tunnel. Computational Fluid Dynamic provides a worthy alternative to simulate the prevailing conditions and give fairly accurate results. Thus, a comparison is carried out using ANSYS 16.0 Fluent for checking the CFD analysis. Checking the effect of shape of building on wind analysis, drag coefficients are found out using CFD analysis for different shapes of building in plan and compared with the values given in IS 875-Part III Fig - 1: Drag Coefficient 2015(table-25). Given below is the drag equation; Key Words: CFD Analysis, Drag Coefficient, Ansys16. F d = C d 1/2 ρ v 2 A 1. INTRODUCTION: Where, Wind Engineering is studied universally by wind tunnel, full scale test, analytically and by using Computational Fluid Dynamics (CFD). In wind tunnel studies, scaled models of structures are subjected to scaled atmospheric wind in a controlled laboratory set-up. Then sensors installed on the model can measure the physical quantities of interest such as shear, moment, pressure etc. Most of the complex architectural and structural innovations are being confirmed through wind tunnel tests. With full-scale studies, actual buildings already built will be used to get instrumented and put into test in natural wind flow for several months in order to get decent measurements. Full-scale studies are good to improve our understanding of the science as well as the simulation in wind tunnel. But these types of studies are not practical in day-to-day life. With analytical studies, the structures are modeled in structural dynamic sense and the wind flow is modeled as stochastic time series and thereafter, the response of the structure is obtained by random vibration techniques. In Computational Fluid Dynamics (CFD) studies, like in analytical studies, the structures are modeled in structural dynamic sense. But the wind flow is modeled using basic fluid dynamic equations such as continuity, energy and momentum equations. 1.1 Drag Coefficients: Air resistance, also known as drag, is a force that is caused by air, the force acts in the opposite direction to an object moving through the air. It is where air particles hit the front of the object slowing it down. The more surface area, the more air particles hit it and the greater the resistance. F d = drag force (N). C d = drag coefficient. ρ = density of fluid (1.2 kg/m 3 for air at NTP). v = flow velocity. A = characteristic frontal area of the body. It is observed from the above equation that, 2019, IRJET Impact Factor value: 7.211 ISO 9001:2008 Certified Journal Page 2043 Drag Coefficient is directly proportional to the drag force on the structures. Drag coefficient is inversely proportional to the density of fluid i.e higher drag coefficient is in water than in air. Drag Coefficient is inversely proportional to the velocity of fluid. According to IS 875 Part III, a non-dimensional coefficient such that the total wind force on a body is - the product of the force coefficient, the dynamic -pressure of the incident design wind speed and the reference area over which the force is required. When the force is in the direction of the incident wind, the non-dimensional coefficient will be called as drag coefficient. Referring of IS code 875 Part III, the value of force coefficients apply to a building or structure

as a whole, and when multiplied by the effective frontal area Ae, of the building or structure and by design wind pressure, P d gives the total wind load on that particular building or structure. Where, F = C f *Ae* P d F = is the force acting in a direction specified in the respective tables. C f = is the force coefficient for the building. 2. PROCEDURE OF ANALYSIS: 2.1 Domain of size: Creation of domain of size as given in the paper by, M. Gomes (2005). 2.3 Boundary Condition: 2.4 Setup: The inlet boundary condition permits flow to enter the solution domain in one direction only. It can be a velocity inlet, pressure inlet or mass flow inlet.vx = V and Vy = Vz = 0. The outlet boundary condition permits flow to exit the solution domain. It also can be a velocity inlet, pressure inlet or mass flow inlet. Side walls, Top and Ground boundary condition For stationary walls, the default consideration is to assume that the no-slip condition implies, which simply means that the velocities are taken to be zero at the solid boundaries. Turbulence models are used to determine the effect the fluctuation on mean flow. Commonly used is two equation turbulent model. Standard K- epsilon model by Launder and Spalding (1974) is used in ANSYS; where, K is the turbulence kinetic energy and is defined as the variance of fluctuations in velocity. Epsilon (ε) is the turbulence energy dissipation i.e. the rate at which the velocity fluctuations dissipate. Finite Volume Method (FVM). FVM is a common approach used in CFD codes. The FVM approach requires interpolation and integration for methods of order higher than second are more difficult to develop in 3D. 2.5 Post Processing: Finally, the last sets of results were selected. Then fluid velocity were checked from the nodal solutions. Further, the desired planes of the models having pressure coefficients were selected which were then compared with the results from the IS 875 PART-III. 3. RESULT: Drag Coefficients for different shapes: 2.2 Mesh Generation: Fig - 2: Domain size CFD requires the subdivision of the domain into a smaller, non over lapping subdomains in order to solve the flow physics within the domain geometry that has been created; this results in the generation of a mesh of cells viz. elements. The accuracy of CFD solution is strongly influenced by the number of cells in the mesh within the domain. IS 875 Part III have given values of drag coefficients for different shapes of buildings in plan. Similar shapes of buildings of height to width ratio 10, are modeled in ANSYS 16.0 and analyzed using CFD and drag coefficients are obtained and compared. 2019, IRJET Impact Factor value: 7.211 ISO 9001:2008 Certified Journal Page 2044

Table -1: Comparisons of drag Coefficient. PLAN SHAPE IS875-PART3 CFD Analysis Circle 0.5 0.430 Diamond 1.2 1.242 Triangle 1.0 0.942 Square with round edge 0.6 0.427 Hexagon 1.4 1.011 Octagonal 1.2 0.928 Following are the figures of drag coefficient obtained at different shape of building. Fig - 5: Drag coefficient for Diamond shape Fig - 3: Drag coefficient for circular shape Fig - 6: Velocity Streamlines for Diamond shape Fig - 4: Velocity Streamlines for circular shape Fig - 7: Drag coefficient for Triangle shape 2019, IRJET Impact Factor value: 7.211 ISO 9001:2008 Certified Journal Page 2045

Fig - 8: Velocity Streamlines for Triangle shape Fig - 11: Drag coefficient for Hexagonal shape Fig - 9: Drag coefficient for Square with Round edge shape Fig - 12: Velocity Streamlines for Hexagonal shape Fig - 13: Drag coefficient for Octagonal shape. Fig - 10: Velocity Streamlines for Square With Round edge shape 2019, IRJET Impact Factor value: 7.211 ISO 9001:2008 Certified Journal Page 2046

Fig - 14: Velocity Streamlines for Octagonal shape. 4. CONCLUSIONS: Validation of CFD analysis considering drag coefficients given in IS 875 part III of different shapes of building in plan is carried out. The CFD analysis varied within a range of 05-08 %. REFERENCES: [1] P. A. Irwin. Wind engineering challenges of the new generation of super-tall buildings. (2009) J. Wind Eng.Ind.Aerodyn.97, 328-334. [2] D. K. Kwon, A. Kareem, Comparative study of major international wind codes and standards for wind effects on tall buildings. Engineering Structures 51 (2013) 23-35. [3] C. Anoop et al. Suitability of IS 875 provisions for assessing wind loads on high rise buildings: scope and limitations. VI National Conference on Wind Engineering 2012, Dec. 14-15 [4] E.Vafaeihosseini, A. Sagheb, P. K. Ramancharla. Computational Fluid Dynamics Approach for Wind Analysis of High rise Buildings. Structural Engineering World Congress Report No: IIIT/TR/2011/-1. [5] J. K. Sevalia S.A. Vasanwala, Comparative Study of wind flow effect on tall building using Computational Fluid Dynamics.8th Biennial Conference on Structural Engineering Convention (SEC-2012). [6] Indian Standard Code 875 -Part III 2015. 2019, IRJET Impact Factor value: 7.211 ISO 9001:2008 Certified Journal Page 2047