International Journal of Engineering Research in Mechanical and Civil Engineering (IJERMCE)

Monthly Journal for Mechanical and Civil Engineering

Volume3,January 2018,

Topic : Application of Artificial Neural Network in Wind Response of Tall Buildings

Authors:Suyog U. Dhote || Valsson Varghese

Abstract:As per World Population Prospects 2017, India is having about 1.3 billion population and ranks second in the world. Due to the continuous increase in population, lack of open spaces plays a very vital role in growing economies. With the lack of open spaces, tall buildings are featuring well in developed as well as developing countries. With the increase in demand of tall buildings, it is a basic need to do the analysis of the tall buildings considering the dynamic response of a tall structure subjected to wind. The Indian code of practice IS 875 (Part-3):2015 gives the procedure to determine along and across wind response of tall structures. Artificial Neural Network approach in wind response of tall buildings is very useful and rapid method where availability of major data is critical. .

Keywords: Along wind response, IS 875 (Part-3):2015, Computer program, Artificial Neural Network, etc.,

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DOI: 01.1617/vol5/iss1/pid53947


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Editor-in-chief

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Editor-in-Chief
Meinhard Taher Schobeiri
Professor,
Texas A & M University, USA.

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IMPACT FACTOR: 3.8

ISSN(Online): 2456-1290

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERMCE
Electronic ISSN : 2456-1290
Impact Factor : 3.8
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