Authors: M. Ramkumar, R. Ramakrishnan
DOI Link: https://doi.org/10.22214/ijraset.2022.43967
Certificate: View Certificate
In this work, a comprehensive study is made in a dynamic manner to understand the effect of this corrosive induced structural failure of a monopile flood light tower. Various climatic conditions subjected to rural and urban environments are considered to understand the source of failure and these results are effectively utilized to optimize the design of these structures to increase their fatigue life in turn reduces the possibility of catastrophic failures. Computational fluid dynamics (CFD) and Finite element analysis (FEA) play a vital role in conceptual design and design for development in industries and research where pure mathematical and experimental approaches are next to impossible. Thanks to these technologies many insights are revealed during the design evolution of a product that helps in optimum design of a product. This work utilizes the surface chemical reaction capability that is available in Ansys Fluent to conduct a detailed aerodynamic study for various wind conditions and to locate the place of maximum corrosion and these inferences are in turn will be utilized in further FEA analysis to predict the structural failures.Finally these interpretations are applied in reaching an optimum monopile structure with design retrofittings and design alterations that enhance the applicability of these structures.
I. INTRODUCTION
The revolution of technological advancements in computers was known for the past two decades. Today, numerous advancements have been developed and the whole world solely depends on computers to perform the tasks. Heavy and complex functions are being executed by the computers and produce huge amounts of heat that will damage its own parts.Our project examines the problem which causes the damages and confronts the alternative and modification for the base model. We approach CFD to witness the exact problem that provides the best alternative rather than experimental methods where it costs high and will not produce instantaneous changes.
A. Flood Light Failures and Evidences
A floodlight is a broadbeamed, highintensity artificial light. They are often used to illuminate outdoor playing fields while an outdoor sports event is being held during lowlight conditions. More focused kinds are often used as a stage lighting instrument in live performances such as concerts and plays. The monopile support structure is a simple design by which the tower is supported by the monopile, either directly or through a transition piece, which is a transitional section between the tower and the monopile. The monopile continues down into the soil. The structure is made of cylindrical steel tubes .
II. LITERATURE REVIEW
? In hexagonal poles with FRP the stress increases is 16.4% when compared to circular pole with FRP.
? Increase of 20.55% on deformation in hexagonal pole FRP compared to circular pole with FRP. When stiffener is placed deformation decrease because stiffener bears the stress
2. “Design analysis and commissioning of high mast lighting poles”. Syed Ibrahim Dilawer, MD. Abdul Raheem Junaidi, Dr.S. Nawazish Mehdi, G.M.Sayeed Ahmed
3. “Parametric Study of Fatigue In Light Pole Structures”. Maryam Sadat Hosseini
4. “A Study On Wind Induced Vibration On Lighting Poles”. Suma Devi , L Govindaraju
5. ”Aeroelastic wind tunnel test of a high lighting pole”. Yaozhi Luo, Yucheng Wang, JimingXie, Chao Yang and Yanfeng Zheng
6. ”Failure analysis of a high mast lamp post”. G. Das , S. Chakrabarty, A.K. Dutta, S.K. Das, K.K. Gupta, R.N. Ghosh.
7. “CFD Analysis of Natural Ventilation Behavior in Four Sided Wind Catcher”, World Academy of Science, Engineering and Technology 72 2012, At penang, Malaysia
III. PROBLEM DEFINITION
To find the structural failure of the stadium light pole using Ansys  Finite Element Analysis (FEA) with various cross sections, shapes, materials, and atmospheric boundary layer conditions. The efficient and safe light pole design configuration will be recommended.
A. Computational Fluid Dynamics
Computational Fluid Dynamics (CFD) is the science of predicting fluid flow, heat transfer, mass transfer, chemical reactions, and related phenomena by solving the mathematical equations which govern these processes using a numerical process.
B. Why Computational Fluid Dynamics?
To analyze ,understand and to optimize fluid flow problems that are associated with Turbulence, HeatTransfer, SpeciesTransport, Chemical Kinetics we have the following three modes of examination
C. Computational Methods
IV. METHODOLOGY
The focus of this project is to analyze the effects of wind forces, wind gusts and windinduced vibration on the monopile structure and observe the critical stresses, as well as the fatigue life of the monopile by utilizing Computational fluid dynamics and finite element method.
A. CATIA Designs
Shapes involved in Analysis:
B. CFD Processing
Boundary conditions
Cell zone conditions:
The working fluid in the domain is composed of air & Water.
Properties/Material 
Symbols 
Air (Fluid) 
Water (Fluid) 
Density (kg/m3) 
ρ 
incompressibleidealgas 
998.2 
Specific Heat (j/kgK) 
Cp 
1006.43 
4182 
Thermal Conductivity (w/mk) 
k 
0.0242 
0.6 
Viscosity (kg/ms) 
μ 
Sutherland assumption 
0.001003 
Table1 : represents the working fluid domain.
2. Cylinder
Fig:4.6a and 4.6c The air flowing in xy direction so there are formation of wake due to formation wake the air velocity is significantly reduced regions behind the geometry.Fig:4.6b and 4.6d In this contour the rain velocity is shown in ground of 1 m2 area. Here the wet area is maximum in the frontal area and minimal in the rear side due to formation of the wake region.
3. Cylinder Taper
Fig: 4.7a and 4.7b represents the air flowing in xy direction so there are formation of wake due to formation wake the air .velocity is significantly reduced regions behind the geometry.In this geometry their slight difference in formation of wake region due to tapered geometry . Fig: 4.7c and 4.7d represents In this contour the rain velocity is shown in ground of 1 m2 area. Here the wet area is maximum in the frontal area and minimal in the rear side due to formation of the wake region. Due to tapered region, there is marginal decrease in rain velocity water in ground.
4. Hexagonal
Fig 4.9a and 4.9b represent the air is flowing in the xy direction, there is the development of wake, and the air velocity is greatly reduced in the regions behind the geometry.There are no significant differences in wake region when compared with above geometrical configuration. Fig 4.9c and 4.9d In this contour the rain velocity is shown in ground of 1 m2 area.Here the wet area is maximum in the frontal area and minimal in rear side due to formation of wake region.
5. Hexagonal Taper
Fig 4.11a and 4.11b, In this geometry there is a slight difference in formation of the wake region due to tapered geometry. But there is no significant difference when compared with cylinder taper. Fig 4.11c and 4.11d, Due to the creation of a wake zone, the wet area is greatest in the frontal area and least in the rear. Rain velocity in the ground is somewhat reduced due to the tapering area. But there is no significant difference when compared with cylinder taper.
8. Octogonal
Fig 4.13a and 4.13b, because the air is flowing in the xy direction, there is the development of wake, and the air velocity is greatly reduced in the regions behind the geometry. There are no significant differences in wake region when compared with above geometrical configuration. Fig 4.13c and 4.13d, This contour depicts the rain velocity in a 1 m2 patch of ground.
Due to the creation of a wake zone, the wet area is greatest in the frontal area and least in the rear.
Rain velocity has intensified somewhat near the wall.
7. Octogonal Taper
Fig 4.15a and 4.15b, Because the air is flowing in the xy direction, there is the development of wake, and the air velocity is greatly reduced in the regions behind the geometry. There are no significant differences in wake region when compared with above geometrical configuration. Fig 4.15c and 4.15d, This contour depicts the rain velocity in a 1 m2 patch of ground.
Due to the creation of a wake zone, the wet area is greatest in the frontal area and least in the rear.
Rain velocity is very minimal when compared to all other geometrical configurations somewhat near the wall.
8. Square
Fig 4.17a and 4.17b, because the air is flowing in the xy direction, there is the development of wake, and the air velocity is greatly reduced in the regions behind the geometry. There are no significant differences in wake region when compared with above geometrical configuration. Fig 4.17c and 4.17d, This contour depicts the rain velocity in a 1 m2 patch of ground.
Due to the creation of a wake zone, the wet area is greatest in the frontal area and least in the rear.
Rain velocity has intensified somewhat near the wall and less in the outer region.
9. Square Taper
Fig 4.19a and 4.19b, The rain velocity in a 1 m2 patch of ground is depicted in this contour. Because of the creation of a wake zone, the wet area is greatest in the front and least in the back. Rain velocity is somewhat higher near the wall. Fig 4.19c and 4.19d, The wet area is highest in the frontal area and least in the rear due to the establishment of a wake zone. When compared to all other geometrical configurations near the wall, rain velocity is great. As a result, we can deduce that square tapered will corrode more than the other geometries investigated in this study.
V. RESULTS AND DISCUSSIONS
A. Mesh Results
Parameter 
Cylinder 
Cylinder Taper 
Hex 
Hex Taper 
Oct 
Oct Taper 
Square 
Square Taper 
Volume Mesh Count 
5051242 
5141541 
5131489 
44532897 
4958242

4867942 
5098278

5189674

Volume mesh quality 
0.89 
0.89 
0.89 
0.88 
0.89 
0.89 
0.89 
0.89 
Table 2: fine mesh values for shapes.
Geometrical Configuration 
Rain averaged volume fraction (PPM) 
Cylinder 
500.012 
Cylinder Taper 
499.756 
Hexagonal 
514.17 
Hexagonal Taper 
518.03 
Octagonal 
409.256 
Octagonal Taper 
526.172 
Square 
515.269 
Square Taper 
618.1164 
1) Various geometrical configurations such as cylinder; hexagonal, octagonal and square and their respective taper are analyzed and variables such as total pressure; rain velocity and rain averaged volume fraction; have been analyzed in the project. 2) From the results of all configurations, we conclude that square tapered have high rain averaged volume fraction compared with other geometrical configurations. 3) Thus, we can conclude that square tapered will have more corrosion reaction than other models 4) On the other hand, comparing the results of all configurations, we conclude that Octagonal rain averaged volume fraction compared with other geometrical configurations. 5) Thus, we can conclude that Octagonal will have less corrosion reaction than other models.From the above CFD analysis, the corrosion effect on different cross sections were listed with the effect of wind gust and rain effect on the place of the light pole. It shows that the monopole , where we are fixed to be having both extreme conditions namely sudden wind and rain impact, here by using CFD ansys FLUENT , I am suggesting the least corrosion resistance and high corrosion resistance . From the above discussions octagonal taper monopoles have less corrosion resistance than other cross sections.
[1] AragonGonzalez, G. CanalesPalma, A. LeonGalicia, A and MoralesGomez, J.R (2008). “Maximum power, ecological function and efficiency of an irreversible Carnot cycle. A cost and effectiveness optimization”. Brazilian Journal of Physics 38(4), 543550. [2] Kamil, M. et al (2014). “An Integrated Model for Predicting Engine Friction Losses in Internal Combustion Engines”. International Journal of Automotive and Mechanical Engineering 9, 16951708 [3] Lingen Chen, Shaojun Xia and Fengrui Sun (2011). “Optimizing piston velocity profile for maximum work output from a generalized radiative law Diesel engine”. Mathematical and Computer Modelling 54, 20512063. [4] Lingen Chen, Shaojun Xia, and Fengrui Sun (2009). “Optimal paths for minimizing entropy generation during heat transfer processes with a generalized heat transfer law”. Journal of Applied Physics 105, 04490715. [5] Morton, H. Rubin (1979). “Optimal configuration of a class of irreversible heat engines”. II. Physical Review A 19, 12771289. [6] Prasad, B.V.V.S.U. Sharma, C.S. Anand, T.N.C and R.V. Ravikrishna (2011). “High swirlinducing piston bowls in small diesel engines for emission reduction”. Applied Energy 88, 2355–2367. [7] Qi, K. Feng, L. Leng, X. Du, B and Long W (2011). “Simulation of quasidimensional combustion model for predicting diesel engine performance”. Applied Mathematical modelling 35(2), 930940. [8] Payri, F. Benajes, J. Margot, X and Gil, A (2004). “CFD modeling of the incylinder flow in direct injection diesel engines”. Computer & Fluids 33, 9951021. [9] Teh, K.Y. Edwards, C.F (2006). “An Optimal Control Approach to Minimizing Entropy Generation in an Adiabatic IC Engine with Fixed Compression Ratio”. in: Proceedings of IMECE2006, IMECE200613581, 2006 ASME International Mechanical Engineering Congress and Exposition, Chicago, Illinois, USA.. [10] Teh, K.Y. Edwards, C.F. (2006). “Optimizing piston velocity profile for maximum work output from an IC engine”, in: Proceedings of IMECE2006, IMECE200613622, 2006 ASME International Mechanical Engineering Congress and Exposition, Chicago, Illinois, USA. [11] Xia, S. Chen, L and Sun, F (2009). “The optimal path of piston motion for Otto cycle with linear phenomenological heat transfer law”. Science in China Series G: Physics, Mechanics & Astronomy 52 (5), 708719.
Copyright © 2022 M. Ramkumar, R. Ramakrishnan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET43967
Publish Date : 20220608
ISSN : 23219653
Publisher Name : IJRASET
DOI Link : Click Here