Information systems in geotechnics

Aleks Diveev; Gennadii Boldyrev

doi:10.1051/matecconf/202235502030

All issues

Volume 355 (2022)

MATEC Web Conf., 355 (2022) 02030

References

Open Access

Issue		MATEC Web Conf. Volume 355, 2022 2021 International Conference on Physics, Computing and Mathematical (ICPCM2021)


Article Number		02030
Number of page(s)		9
Section		Mathematical Science and Application
DOI		https://doi.org/10.1051/matecconf/202235502030
Published online		12 January 2022

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G. Shi G. Data Mining and Knowledge Discovery for Geoscientists, 371 p. (2014) [Google Scholar]
V.A. Barvashov, Boldyrev G.G. Sensitivity of structures and geological data. COMPDYN 20176th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering. M. M, M. Fragiadakis (eds.), Rhodes Island, Greece, 15–17 June 2017, рр. 1–11 (2017) [Google Scholar]
V.A. Barvashov, Boldyrev G.G. Soil Data Inflation in Analysis of Settlements and Tilts of Structures. 5th International Conference on Geotechnical and Geophysical Site Characterisation, 5-8 September, Australia, 2016, рр. 1–5 (2016) [Google Scholar]

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[1] G. G, Hassall S., Chandler R., 2014. Case study - The real life benefits of Geotechnical Building Information Modelling. Proceedings of Information Technology in Geo-Engineering. D.G. Toll et al. (Eds.), pp. 95–102 (2014) [Google Scholar]

[2] L. L, Li. Yongfa., Sun Peipei. Study on Three Dimensional Modeling and Visualization in Geology. The Open Civil Engineering Journal. 10, pp. 114–124 (2016) [Google Scholar]

[3] D. D, Popov V., Juocevicius V., Ustinovichius L. The Benefits, Obstacles and Problems of Practical Bim Implementation. Procedia Engineering. 57, pp. .767–774 (2013) [CrossRef] [Google Scholar]

[4] V. V, Ventini R., Ciotta V., Domenico A. A new frontier of BIM process: Geotechnical BIM. Proceedings of the XVII ECSMGE-2019 Geotechnical engineering foundation of the future, pp. 1–7 (2019) [Google Scholar]

[5] X. X, Chu J., Aung Z., Chiam K., Wu D. 3D Geological Modelling: A Case Study for Singapore. ICITG 2019: Information Technology in Geo-Engineering, pp. 161–167 (2019) [Google Scholar]

[6] T. Lunne., Robertson P.K., Powell, J.J.M. Cone penetration testing in geotechnical practice. Blackie Academic. Chapman-Hall Publishers, U.K.; available from EF Spon. Routledge Pub., New York, 312 p. (1997) [Google Scholar]

[7] G. Shi G. Data Mining and Knowledge Discovery for Geoscientists, 371 p. (2014) [Google Scholar]

[8] V.A. Barvashov, Boldyrev G.G. Sensitivity of structures and geological data. COMPDYN 20176th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering. M. M, M. Fragiadakis (eds.), Rhodes Island, Greece, 15–17 June 2017, рр. 1–11 (2017) [Google Scholar]

[9] V.A. Barvashov, Boldyrev G.G. Soil Data Inflation in Analysis of Settlements and Tilts of Structures. 5th International Conference on Geotechnical and Geophysical Site Characterisation, 5-8 September, Australia, 2016, рр. 1–5 (2016) [Google Scholar]