Application of Geostatistical Sequential Simulation Methods for Probabilistic 3D Subsoil Modeling and Uncertainty Quantification Concept and Examples-Reference-Cited by-同舟云学术

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Application of Geostatistical Sequential Simulation Methods for Probabilistic 3D Subsoil Modeling and Uncertainty Quantification Concept and Examples

Published:2023-03-23 Issue: Volume: Page:
ISSN:
Container-title:Geo-Congress 2023
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Author:

Witty Andreas¹¹¹,Peña-Olarte Andrés A.¹¹¹,Cudmani Roberto¹¹¹

Affiliation:

1. Chair of Soil Mechanics and Foundation Engineering, Rock Mechanics and Tunneling, Technical Univ. of Munich, Munich.

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784484678.013

Reference14 articles.

1. Constructing a Site-Specific Multivariate Probability Distribution Using Sparse, Incomplete, and Spatially Variable (MUSIC-X) Data;Ching J.;J. Eng. Mech,2020

2. Deutsch, C., and Journel, A. (1998). GSLIB. Geostatistical Software Library and User’s Guide. Second edition. Oxford University Press, Oxford, New York.

3. Probabilistic Assessment of Void Risk and Grouting Volume for Tunneling Applications

4. GeostatsPy. (2021). Geostatistical Library in Python. 1.0.0. (May 10 2022).

5. Grasmick, J. G. (2019). Modeling spatial geotechnical parameters uncertainty and quantitative tunneling risks. Golden, CO: Colorado School of Mines.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Perspectives of 3D Probabilistic Subsoil Modeling for BIM;Geotechnics;2023-10-14

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