Top.Mail.Ru
искать
TRANSLATED ARTICLES

Digging deeper: the role of big data analytics in geotechnical investigations

Авторы
ЧЖАН ЮФакультет информационной инженерии Китайского университета наук о Земле (Пекин), г. Пекин, Китай
ЧЭНЬ Л.Научно-исследовательский центр Геологической службы Китая (Национальные геологические архивы Китая), г. Пекин, Китай
Хэ Цз.Пекинский институт геологических исследований, г. Пекин, Китай
ВАН Л.Научно-исследовательский центр Геологической службы Китая (Национальные геологические архивы Китая), г. Пекин, Китай
МЯО Цз.Научно-исследовательский центр Геологической службы Китая (Национальные геологические архивы Китая), г. Пекин, Китай
ГАО Х.Факультет географии и информационной инженерии Китайского университета наук о Земле (Ухань), г. Ухань, Китай
ЯО Я.Факультет географии и информационной инженерии Китайского университета наук о Земле (Ухань), г. Ухань, Китай
БАЙ М.Научно-исследовательский центр Геологической службы Китая (Национальные геологические архивы Китая), г. Пекин, Китай
МЭЙ Л.Научно-исследовательский центр Геологической службы Китая (Национальные геологические архивы Китая), г. Пекин, Китай

Abstract: We bring to the attention of our readers a slightly abridged and adapted translation of the report by primarily Indian geological and geotechnical engineers “Digging deeper: the role of big data analytics in geotechnical investigations” (Vani et al., 2024), which was presented at the 3rd International Conference on Civil, Structural and Environmental Engineering (ICS-MEE) held on 2–3 May 2024 in the Indian city of Kottayam, Kerala. That event was organized by the Mangalam College of Engineering, received financial support from the Ministry of Science and Technology of India, and gathered more than 1,000 participants from all over the world. In the same year, the proceedings of that conference were published in peer-reviewed conference proceedings series “E3S Web of Conferences” issued by the French publishing house “EDP Sciences” (“Edition Diffusion Presse Sciences”). The paper on the basis of that report by Indian specialists is available in open access under the CC BY 4.0 license that allows it to be distributed, translated, adapted, and supplemented, provided that the types of changes, original source, and DOI are noted. In our case, the full reference to the original paper (Chen et al., 2020), which was used for the presented translation, is given in the end.

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 site 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.

Keywords: geotechnical engineering; big data; artificial intelligence; machine learning

DOI: 10.58339/2949-0677-2025-7-3-44-53

UDC: 624.131; 004

For citation: Vani V.D., Raj V.H., Dutt A., Raveendranath R., Tyagi L.K., Almusawi M., Yadav D.K. Podrobnee o roli analitiki bol'shikh dannykh v inzhenerno-geologicheskikh izyskaniyakh (per. s angl.) [Digging deeper: the role of big data analytics in geotechnical investigations (translated from English into Russian)] // Geoinfo. 2025. T. 7. № 3. S. 44–53.

DOI:10.58339/2949-0677-2025-7-3-44-53 (in Rus.)

REFERENCES:

  1. Wang Y., Zhang W., Qi X., Ching J. Data analytics in geotechnical and geological engineering // Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. 2022. Vol. 16. № 1. Article 1-1.
  2. Jayahari L., Nagachary K., Saxena K.K., Seeniappan K., Rana R.S. Mechanical characterisation and study of nickel based super alloy 718 at subzero temperatures // Advances in Materials and Processing Technologies. 2022. Vol. 8. № 2. P. 549–563.
  3. Liu D., Liu H., Wu Y., Zhang W., Wang Y., Santosh M. Characterization of geo-material parameters: gene concept and big data approach in geotechnical engineering // Geosystems and Geoenvironment. 2022. Vol. 1. № 1. Article  100003.
  4. Indira D. N. V. S. L. S., Ganiya R.K., Babu P.A., Xavier A.J., Kavisankar L., Hemalatha S., Senthilkumar V., Kavitha T., Rajaram A., Annam K., Yeshitla A. Improved artificial neural network with state order dataset estimation for brain cancer cell diagnosis. BioMed Research International. Hindawi, 2022. Vol. 2022. Article 7799812. https://doi.org/10.1155/2022/7799812.
  5. You M., Hong Z., Tan F., Wen H., Zhang Z., Lv J. Stratigraphic identification using real-time drilling data // Journal of Rock Mechanics and Geotechnical Engineering. 2024. Vol. 16. № 9. P. 3452–3464.
  6. Bhukya M.N., Kota V.R., Depuru S.R. A simple, efficient, and novel standalone photovoltaic inverter configuration with reduced harmonic distortion // IEEE access. 2019. Vol. 7. P. 43831–43845.
  7. Salmi E.F., Phan T., Sellers E.J., Stacey T.R. A review on the geotechnical design and optimisation of ultra-long ore passes for deep mass mining // Environmental Earth Sciences. 2024. Vol. 83. № 10. P. 1–36.
  8. Djogo M., Vasic M., Despotovic I., Mihajlovic S. Geological and geotechnical aspects of the most significant deep landslides in the Danube area on the territory of Vojvodina // Applied Sciences. 2024. Vol. 14. № 9. Article 3622.
  9. Naresh M., Munaswamy P. Smart agriculture system using IoT technology // International journal of recent technology and engineering. 2019. Vol. 7. № 5. P. 98–102.
  10. Abbaszadeh Shahri A., Shan C., Larsson S., Johansson F. Normalizing large scale sensor-based MWD data: an automated method toward a unified database // Sensors. 2024. Vol. 24. № 4. Article 1209.
  11. Gharieb A., Gabry M.A., Elsawy M., Edries T., Mahmoud W., Algarhy A., Darraj N. In-house integrated big data management platform for exploration and production operations digitalization: from data gathering to generative AI through machine learning implementation using cost-effective open-source technologies – experienced mature work // SPE Conference at Oman Petroleum & Energy Show, Muscat, Oman, April 2024. Paper SPE-218560-MS. https://doi.org/10.2118/218560-MS.
  12. Ramprasad P., Basavapoornima C., Depuru S.R., Jayasankar C.K. Spectral investigations of Nd3+:Ba(PO3)2+La2O3 glasses for infrared laser gain media applications // Optical Materials. 2022. Vol. 129. Article 112482.
  13. Dada M.A., Oliha J.S., Majemite M.T., Obaigbena A., Biu P.W. A review of predictive analytics in the exploration and management of US geological resources // Engineering Science & Technology Journal. 2024. Vol. 5. № 2. P. 313–337.
  14. Goud J.S., Srilatha P., John K., Kumar R.V., Kumar K.T., Khan U., Raizah Z., Gill H.S., Galal A.M. Role of ternary hybrid nanofluid in the thermal distribution of a dovetail fin with the internal generation of heat // Case Studies in Thermal Engineering. 2022. Vol. 35. Article 102113.
  15. Li X., Zhao S., Shen Y., Xue Y., Li T., Zhu H. Big data-driven TBM tunnel intelligent construction system with automated-compliance-checking (ACC) optimization // Expert Systems with Applications. 2024. Vol. 244. Article 122972.
  16. Yue L., Jayapal M., Cheng X., Zhang T., Chen J., Ma X., Dai X., Lu H., Guan R., Zhang W.-H. Highly dispersed ultra-small nano Sn-SnSb nanoparticles anchored on N-doped graphene sheets as high performance anode for sodium ion batteries // Applied Surface Science. 2020. Vol. 512. Article 145686.
  17. IFCEE 2024: Drilled and Driven Foundations and Innovative and Emerging Approaches for Foundation Engineering / edited by D.M. Moug. American Society of Civil Engineers, 2024.
  18. Girish K.M., Naik R., Prashantha S.C., Nagabhushana H., Nagaswarupa H.P., Raju K.S.A., Premkumar H.B., Sharma S.C., Nagabhushana B.M. Zn2TiO4:Eu3+ nanophosphor: self explosive route and its near UV excited photoluminescence properties for WLEDs // Spectrochimica Acta. Part A: Molecular and Biomolecular Spectroscopy. 2015. Vol. 138. P. 857–865.
  19. Goldstein D., Aldrich C., O'Connor L. A Review of Orebody Knowledge Enhancement using Machine Learning on Open Pit Mine Measure-While-Drilling Data // MAKE. MDPI, 2024. Vol. 6. № 2. P. 1343–1360.
  20. Fernandez A., Segarra P., Sanchidriбn J.A., Navarro R. Ore/waste identification in underground mining through geochemical calibration of drilling data using machine learning techniques // Ore Geology Reviews. 2024. Vol. 168. Article 106045.
  21. Damodharan D., Rajesh Kumar B., Gopal K., De Poures M.V., Sethuramasamyraja, B. Utilization of waste plastic oil in diesel engines: a review // Reviews in Environmental Science and Bio/Technology. 2019. Vol. 18. № 4. P. 681–697.
  22. Leung A.Y., Phoon K.K., Xiao T., Shuku T., Ching J. Report for ISSMGE TC309/TC304/TC222 and ASCE Geo-Institute Risk Assessment and Management Committee Fourth Machine Learning in Geotechnics Dialogue on “Machine Learning Supremacy Projects”, 5 December 2023, Okayama Convention Center, Okayama, Japan // Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. 2024. Vol. 18. № 1. P. 304–313. https://doi.org/10.1080/17499518.2024.2316879.
  23. He B., Armaghani D.J., Lai S.H., He X., Asteris P.G., Sheng D. A deep dive into tunnel blasting studies between 2000 and 2023 – a systematic review // Tunnelling and Underground Space Technology. 2024. Vol. 147. Article  105727.
  24. Girish K.M., Prashantha S.C., Nagabhushana H., Ravikumar C.R., Nagaswarupa H.P., Naik R., Premakumar H.B., Umesh B. Multi-functional Zn2TiO4:Sm3+ nanopowders: excellent performance as an electrochemical sensor and an UV photocatalyst // Journal of Science: Advanced Materials and Devices. 2018. Vol. 3. № 2. P. 151–160.
  25. Kelly R. A view on the state of practice in transportation geotechnics in Australia // Transportation Geotechnics. 2024. Vol. 46. Article 101259.
  26. Recent Research on Geotechnical Engineering, Remote Sensing, Geophysics and Earthquake Seismology // Proceedings of the 2nd MedGU, Marrakesh, 2022 (edited by A. Ciner et al.). Vol. 3.
  27. Naik R., Chandra P.S., Bhushana N., Sharma Sh., Nagaswarupa H.P., Anantharaju K.S., Jnaneshwara D.M., Girish K.M. Tunable white light emissive Mg2SiO4:Dy3+ nanophosphor: its photoluminescence, Judd-Ofelt and photocatalytic studies // Dyes and Pigments. 2015. Vol. 127.
  28. Maslakowski M., Lejzerowicz A., Pacanowski G., Kuszyk R.B. The use of non-invasive ERT method to diagnose karst in roadengineering in the Lublin Upland (Poland) // Archives of Civil Engineering. 2024. Vol. 70. № 1.
  29. Sundaram R., Gupta S., Gupta S. Advances in the state-of-practice of geotechnical investigation in India // Indian Geotechnical Journal. 2024. Vol. 54. № 1. P. 109–133.
  30. Rathod V.P., Tanveer S. Pulsatile flow of couple stress fluid through a porous medium with periodic body acceleration and magnetic field // The Bulletin of the Malaysian Mathematical Society. Series 2. 2009. Vol. 32. № 2. P. 245–259.
  31. Alao J.O., Lawal K.M., Dewu B.B.M., Raimi J. The evolving roles of geophysical test sites in engineering, science and technology // Acta Geophysica. 2024. Vol. 72. № 1. P. 161–176.
  32. Jisha P.K., Prashantha S.C., Nagabhushana H. Luminescent properties of Tb doped gadolinium aluminate nanophosphors for display and forensic applications // Journal of Science: Advanced Materials and Devices. 2017. Vol. 2. № 4. P. 437–444.
  33. Alrobei H., Prashanth M.K., Manjunatha C.R., Kumar C.P., Chitrabanu C.P., Shivaramu P.D.,  Raghu M.S. Adsorption of anionic dye on eco-friendly synthesised reduced graphene oxide anchored with lanthanum aluminate: Isotherms, kinetics and statistical error analysis // Ceramics International. 2021. Vol. 47. № 7. P. 10322–10331.
  34. Kulandaivel D., Rahamathullah I.G., Sathiyagnanam A.P., Gopal K., Damodharan D. Effect of retarded injection timing and EGR on performance, combustion and emission characteristics of a CRDi diesel engine fueled with WHDPE oil/diesel blends // Fuel. 2020. Vol. 278. Article 118304.
  35. Hora S.K., Poongodan R., De Prado R.P., Wozniak M., Divakarachari P.B. Long short-term memory network-based metaheuristic for effective electric energy consumption prediction // Applied Sciences. 2021. Vol. 11. № 23. Article 11263.
  36. Raj T.V., Hoskeri P.A., Muralidhara H.B., Manjunatha C.R., Kumar K.Y., Raghu M.S. Facile synthesis of perovskite lanthanum aluminate and its green reduced graphene oxide composite for high performance supercapacitors // Journal of Electroanalytical Chemistry. 2020. Vol. 858. Article 113830.
  37. Jaidass N., Moorthi C.K., Babu A.M., Babu M.R. Luminescence properties of Dy3+ doped lithium zinc borosilicate glasses for photonic applications // Heliyon. 2018. Vol. 4. № 3. Article e00555.
  38. Lakshmi L., Reddy M.P., Santhaiah C., Reddy U.J. Smart phishing detection in web pages using supervised deep learning classification and optimization technique ADAM // Wireless Personal Communications. 2021. Vol. 118. № 4. P. 3549–3564.
  39. Spandana K., Rao V.S. Internet of Things (Iot) based smart water quality monitoring system // International Journal of Engineering and Technology (UAE). 2018. Vol. 7. № 3. P. 259–262.
  40. Kumar K.U., Babu P., Basavapoornima C., Praveena R., Rani D.S., Jayasankar C.K. Spectroscopic properties of Nd3+-doped boro-bismuth glasses for laser applications // Physica B: Condensed Matter. 2022. Vol. 646. Article 414327.
  41. Cong Y., Inazumi S. Integration of smart city technologies with advanced predictive analytics for geotechnical investigations // Smart Cities. 2024. Vol. 7. № 3. P. 1089–1108.

Article in RSCI: https://www.elibrary.ru/item.asp?id=85275393