Digging Deeper: The Role of Big Data Analytics in Geotechnical Investigations

This review paper explores the transformative role of big data analytics in geotechnical engineering, transferring past conventional methods to a data-driven paradigm that complements decision-making and precision in subsurface investigations. By integrating large statistics analytics with geotechni...

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Bibliographic Details
Published in:	E3S web of conferences Vol. 529; p. 4012
Main Authors:	Vani, V. Divya, Helena Raj, Vijilius, Dutt, Amit, Raveendranath, Reshma, Tyagi, Lalit Kumar, Almusawi, Muntather, Yadav, Dinesh Kumar
Format:	Journal Article
Language:	English
Published:	EDP Sciences 2024
Subjects:	artificial intelligence big-data geotechnical engineering machine learning
Online Access:	Get full text
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Summary:	This review paper explores the transformative role of big data analytics in geotechnical engineering, transferring past conventional methods to a data-driven paradigm that complements decision-making and precision in subsurface investigations. By integrating large statistics analytics with geotechnical engineering, this study demonstrates big improvements in website characterization, danger assessment, and production methodologies. The research underscores the capability of big data to revolutionize geotechnical investigations through improved prediction models, threat management, and sustainable engineering practices, highlighting the critical role of big data in addressing international warming and ozone depletion. Through the examination of numerous case studies and AI-driven methodologies, this paper sheds light at the efficiency gains and environmental benefits attainable in geotechnical engineering.
ISSN:	2267-1242 2267-1242
DOI:	10.1051/e3sconf/202452904012