Conference
Fracture cluster modeling for groundwater inflow prediction into rock tunnels using geostatistics
| العنوان: | Fracture cluster modeling for groundwater inflow prediction into rock tunnels using geostatistics |
|---|---|
| المؤلفون: | Chen, Ran, Tonon, Fulvio |
| المساهمون: | Chen, Ran, Tonon, Fulvio |
| بيانات النشر: | American Society of Civil Engineers USA Reston, VA |
| سنة النشر: | 2012 |
| المجموعة: | Università degli Studi di Udine: CINECA IRIS |
| مصطلحات موضوعية: | Architecture2300 Environmental Science (all), Civil and Structural Engineering, Building and Construction, Geotechnical Engineering and Engineering Geology |
| الوصف: | Groundwater inflows in rock tunnels typically concentrate in narrow zones where conducting fractures cluster together: these concentrations may hamper tunnel advance and are a major source of claims. However, current predictive methodologies do not allow the designer or the contractor to predict these concentrations. The paper describes a geostatistical methodology for the simulation of clusters and fractures in 1D, 2D and 3D. The resulting discrete network of fractures could be used to simulate groundwater flow and predict groundwater inflow into tunnels. The simulation methodology was demonstrated and validated by using data from Pedernales Falls, Yucca Mountain nuclear waste disposal project, and the TBM-excavated South Cobb tunnel project (GA). © 2012 American Society of Civil Engineers. |
| نوع الوثيقة: | conference object |
| وصف الملف: | STAMPA |
| اللغة: | English |
| Relation: | info:eu-repo/semantics/altIdentifier/isbn/9780784412121; ispartofbook:GeoCongress 2012: State of the Art and Practice in Geotechnical Engineering; GeoCongress 2012; volume:225; firstpage:2372; lastpage:2381; numberofpages:10; serie:GEOTECHNICAL SPECIAL PUBLICATION; http://hdl.handle.net/11390/1127837; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84888337413 |
| DOI: | 10.1061/9780784412121.243 |
| الاتاحة: | http://hdl.handle.net/11390/1127837 https://doi.org/10.1061/9780784412121.243 https://ascelibrary.org/doi/pdf/10.1061/9780784412121.243 |
| رقم الانضمام: | edsbas.2469FE8C |
| قاعدة البيانات: | BASE |
| DOI: | 10.1061/9780784412121.243 |
|---|