UGC Approved Journal no 63975

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

Volume 1 Issue 1
June-2014
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1701824


Registration ID:
501534

Page Number

880-883

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Title

Artificial Intelligence in Geotechnical Engineering: Applications, Modeling Aspects, and Future Predictions

Abstract

The main aim of this study is to explore how artificial intelligence is used in geotechnical engineering in terms of modeling and future forecasts. The geotechnical engineering field focuses on using soils and rocks in engineering structures. In material modeling, soils and rocks naturally display complicated behaviors and a high degree of uncertainty. Over the last three decades, more researchers in the area of geotechnical engineering have created and deployed artificial intelligence (AI) approaches [1]. The effectiveness of these techniques has been attributed to their capacity to forecast intricate nonlinear interactions. Complex geotechnical issues have lately seen an increase in the usage of artificial intelligence (AI) methods. These methods might be due to the inefficiency of the old approaches or the excellent prospects of modern methods to express such complexity [1]. Most fields of geotechnical engineering have used artificial intelligence. Artificial intelligence applications were thoroughly examined and addressed in this study, where they excelled in most of them.

Key Words

Artificial intelligence, Materials modeling, soil mechanics, artificial neural network, geotechnical engineering, pile foundations, bearing capacity

Cite This Article

"Artificial Intelligence in Geotechnical Engineering: Applications, Modeling Aspects, and Future Predictions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 1, page no.880-883, June-2014, Available :http://www.jetir.org/papers/JETIR1701824.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

"Artificial Intelligence in Geotechnical Engineering: Applications, Modeling Aspects, and Future Predictions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.1, Issue 1, page no. pp880-883, June-2014, Available at : http://www.jetir.org/papers/JETIR1701824.pdf

Publication Details

Published Paper ID: JETIR1701824
Registration ID: 501534
Published In: Volume 1 | Issue 1 | Year June-2014
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.31294
Page No: 880-883
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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