Geotechnical characterization and performance assessment of bentonite/sand mixtures for underground waste repository sealing

The objective of this study is to assess the performance of a bentonite/sand mixture for the sealing of underground waste repositories through performing geotechnical laboratory tests such as compaction and flow tests. Swelling, mechanical and shear strength tests along with analyses of seal/rock mechanical interactions of an axially loaded seal in rock have been conducted to recommend an optimum compacted bentonite/sand mixture and a suitable bentonite/sand seal length-to-radius ratio (L/a) as a function of water load. The bentonite used in this study was a natural sodium based non-treated bentonite possessing a high swelling potential and containing at least 90% montmorillonite. The results of the compaction permeameter tests led to a recommendation to select a mixture with a bentonite content of about 30% since it possessed the lowest hydraulic conductivity. Analysis of seal/rock mechanical interaction to reduce the possibility of seal slip was performed as a function of the axial load generated from a water column on the seal for seal length-to-radius ratios (L/a) ranging from 2.0 to 20.


BODUR, MN; ERGIN, M (Elsevier BV, 1994-07-01)
Six box-cores, one boomerang core and one hundred sixty-six surface sediment samples recovered in the Sea of Marmara were analyzed in an attempt to establish the main controls on distribution and origin of trace metals within the oxic to suboxic basin of this sea.
Flow and nutrient dynamics in a subterranean estuary (Waquoit Bay, MA, USA): Field data and reactive transport modeling
Spiteri, Claudette; Slomp, Caroline P.; Charette, Matthew A.; Tuncay, Kağan; Meile, Christof (Elsevier BV, 2008-07-15)
A two-dimensional (2D) reactive transport model is used to investigate the controls on nutrient (NO3-, NH4+, PO4) dynamics in a coastal aquifer. The model couples density-dependent flow to a reaction network which includes oxic degradation of organic matter, denitrification, iron oxide reduction, nitrification, Fe2+ oxidation and sorption of PO4 onto iron oxides. Porewater measurements from a well transect at Waquoit Bay, MA, USA indicate the presence of a reducing plume with high Fe2+, NH4+, DOC (dissolved...
Geochemistry of Fluid Inclusions in Travertines From Western and Northern Turkey: Inferences on the Role of Active Faults in Fluids Circulation
Rizzo, Andrea Luca; Uysal, I. Tonguc; MUTLU, HALİM; Unal-Imer, Ezgi; Dirik, Kadir; YÜCE, GALİP; Caracausi, Antonio; Italiano, Francesco; Misseri, Mariagrazia; TEMEL, ABİDİN; Bayari, Serdar; ÖZYURT, NACİYE NUR; Zhao, Jian-xin; DENİZ, KIYMET (American Geophysical Union (AGU), 2019-11-01)
The understanding of the relationship between the geochemistry of fluids circulating during travertine deposition and the presence of active faults is crucial for evaluating the seismogenetic potential of an area. Here we investigate travertines from Pamukkale and Resadiye (Turkey), sited in seismic regions and next to thermal springs. These travertines formed similar to 24,500-50,000 (Pamukkale) and similar to 240-14,600 years (Resadiye) BP. We characterize fluid inclusions (FIs) and studied concentration ...
EDIGER, V; OKYAR, M; ERGIN, M (Elsevier BV, 1993-11-01)
High-resolution shallow seismic reflection (Uniboom) and echosounding profiles obtained on the shelf and upper slope areas of Anamur Bay (Turkey, northeastern Mediterranean) were studied together with previous data on the onshore geology of the area to investigate the origin and related seismic stratigraphy of the submarine Anamur Canyon. It was found that the main axial trend of the submarine Anamur Canyon is aligned with the offshore projection of the N-S orientated, onshore Anamur thrust fault of Late Cr...
Estimation of Hardgrove grindability index of Turkish coals by neural networks
Ozbayoglu, Gulhan; ÖZBAYOĞLU, AHMET MURAT; Ozbayoglu, M. Evren (Elsevier BV, 2008-01-31)
In this research, different techniques for the estimation of coal HGI values are studied. Data from 163 sub-bituminous coals from Turkey are used by featuring I I coal parameters, which include proximate analysis, group maceral analysis and rank. Nonlinear regression and neural network techniques are used for predicting the HGI values for the specified coal parameters. Results indicate that a hybrid network which is a combination of 4 separate neural networks gave the most accurate HGI prediction and all of...
Citation Formats
H. Akgün, “Geotechnical characterization and performance assessment of bentonite/sand mixtures for underground waste repository sealing,” APPLIED CLAY SCIENCE, pp. 394–399, 2010, Accessed: 00, 2020. [Online]. Available: