Finite Element Analysis to Compute Stresses in a Cooling Tower Model Based on Linear Superposition of Measured Wind Pressures

Author(s):  
S. Selvi Rajan ◽  
R. Jibeesh ◽  
G. Ramesh Babu ◽  
P. Harikrishna ◽  
A. Abraham
2014 ◽  
Vol 945-949 ◽  
pp. 1135-1138
Author(s):  
Tao Liang ◽  
Chun Ling Meng ◽  
Yang Li ◽  
Xiu Hua Zhao

The finite element analysis of large air cooling tower was carried out using ABAQUS. On the basis of strength above,8 types of the axial force are analyzed and summarized, find valuable rules, and put forward the further optimization design. So that it can satisfy the strength and stability of air cooling tower, the structure is more reasonable, reduce weight, reduce the cost.


2013 ◽  
Vol 365-366 ◽  
pp. 237-240
Author(s):  
Yun Long Li ◽  
Chun Ling Meng ◽  
Nian Peng Wu ◽  
Wen Hua Zhang

Applicating the finite element analysis software Ansys to do finite element analysis of a glass fiber reinforced plastic hyperbolic natural draft cooling tower .Under the working condition of gravity and wind load, to contrast the two models of the presence or absence of abdominal rod displacement, stress and unit axial force, and check the stability of compressive bar, and structural optimization. Analysis results can provide reference for the structural design of hyperbolic cooling tower.


Author(s):  
Donal P. Finn

This paper describes work in progress aimed at developing an interactive modeling tool that assists engineers with the task of physical modeling in finite element analysis. Physical modeling precedes the numerical simulation phase of finite element analysis and involves applying modeling idealizations to real world physical systems so that complex engineering problems are more amenable to numerical computation. In the paper, the nature of physical modeling is explored, a cognitive model of how engineers are thought to model complex problems is described and based on this model a knowledge-based modeling assistant is proposed. The AI approach taken is based on Chandrasekaran's propose-critique-modify design model adapted for the task of physical modeling. Within this framework, the AI paradigms of case-based reasoning, derivational analogy and model-based reasoning are exploited. By representing fundamental thermal modeling scenarios as cases, complex physical systems can be modeled in a piecewise fashion. Derivational analogy permits generative adaptation of retrieved cases by using model-based engineering traces thereby providing a basis for critiquing case solutions. An initial prototype is described which has been implemented for the domain of convection heat transfer analysis.


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