UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 2
February-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2202494


Registration ID:
500306

Page Number

e730-e733

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Title

Machine Learning Applications In Civil Engineering: An Empirical Study

Abstract

The main aim of this paper is to conduct an empirical study on Machine Learning Applications in Civil Engineering. Engineers have continuously been striving to improve the efficiency of conventional materials, solutions, and the testing methodology in civil engineering. With the advancement of materials science and different composite materials, complex mathematical problems have recently been introduced in civil engineering [1]. As a result, the traditional methods of underlying theories and testing methods cannot be performed. Elsewhere, these modern solutions and materials may be exposed to extreme natural or non-natural loading circumstances during their service life and cause tremendous fatalities and property loss.Machine learning (ML) provides a wide range of applications in our current society, including predicting, classifying, and solving complex mathematical problems in civil engineering. ML methods and techniques, including neural networks, evolutionary computation, fuzzy logic systems, deep learning, and image processing applications, have rapidly evolved in recent decades [1]. Recently, ML algorithms have attracted close attention from researchers and have also been applied successfully to solve problems in civil engineering. For example, informing unmanned, intelligent, and fully automatic urban and regional planning, prediction of rainfall, hydrological problems, as well as developing new technologies, engineering design, construction, maintenance, and disaster management.

Key Words

Machine Learning, Civil Engineering, Design, project management, Safety Checks

Cite This Article

"Machine Learning Applications In Civil Engineering: An Empirical Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 2, page no.e730-e733, February-2022, Available :http://www.jetir.org/papers/JETIR2202494.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Machine Learning Applications In Civil Engineering: An Empirical Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. ppe730-e733, February-2022, Available at : http://www.jetir.org/papers/JETIR2202494.pdf

Publication Details

Published Paper ID: JETIR2202494
Registration ID: 500306
Published In: Volume 9 | Issue 2 | Year February-2022
DOI (Digital Object Identifier):
Page No: e730-e733
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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