Publications

Eric, Simo E.; Hadgu, Teklu H.; Matteo, Edward N.

Abstract not provided.

2nd International Discrete Fracture Network Engineering Conference, DFNE 2018

Hadgu, Teklu H.; Kalinina, E.; Wang, Yifeng; Ozaki, Y.; Iwatsuki, T.

Experimental hydrology data from the Mizunami Underground Research Laboratory in Central Japan have been used to develop a site-scale fracture model and a flow model for the study area. The discrete fracture network model was upscaled to a continuum model to be used in flow simulations. A flow model was developed centered on the research tunnel, and using a highly refined regular mesh. In this study development and utilization of the model is presented. The modeling analysis used permeability and porosity fields from the discrete fracture network model as well as a homogenous model using fixed values of permeability and porosity. The simulations were designed to reproduce hydrology of the modeling area and to predict inflow of water into the research tunnel during excavation. Modeling results were compared with the project hydrology data. Successful matching of the experimental data was obtained for simulations based on the discrete fracture network model.

2nd International Discrete Fracture Network Engineering Conference, DFNE 2018

Kalinina, E.A.; Hadgu, Teklu H.; Wang, Yifeng; Ozaki, Y.; Iwatsuki, T.

The Mizunami Underground Research Laboratory is located in the Tono area (Central Japan). Its main purpose is providing a scientific basis for the research and development of technologies needed for deep geological disposal of radioactive waste in fractured crystalline rocks. The current work is focused on the experiments in the research tunnel (500 m depth). The collected tunnel and borehole data were shared with the participants of DEvelopment of COupled models and their VALidation against EXperiments (DECOVALEX) project. This study describes how these data were used to (1) develop the fracture model of the granite rocks around the research tunnel and (2) validate the model.

Kalinina, Elena A.; Hadgu, Teklu H.; Wang, Yifeng

Abstract not provided.

Rechard, Robert P.; Trone, Janis R.; Kalinina, Elena A.; Wang, Yifeng; Hadgu, Teklu H.; Sanchez, Lawrence C.

The experimental breeder reactor (EBR-II) used fuel with a layer of sodium surrounding the uranium-zirconium fuel to improve heat transfer. Disposing of EBR-II fuel in a geologic repository without treatment is not prudent because of the potentially energetic reaction of the sodium with water. In 2000, the US Department of Energy (DOE) decided to treat the sodium-bonded fuel with an electrorefiner (ER), which produces metallic uranium product, a metallic waste, mostly from the cladding, and the salt waste in the ER, which contains most of the actinides and fission products. Two waste forms were proposed for disposal in a mined repository; the metallic waste, which was to be cast into ingots, and the ER salt waste, which was to be further treated to produce a ceramic waste form. However, alternative disposal pathways for metallic and salt waste streams may reduce the complexity. For example, performance assessments show that geologic repositories can easily accommodate the ER salt waste without treating it to form a ceramic waste form. Because EBR-II was used for atomic energy defense activities, the treated waste likely meets the definition of transuranic waste. Hence, disposal at the Waste Isolation Pilot Plant (WIPP) in southern New Mexico, may be feasible. This report reviews the direct disposal pathway for ER salt waste and describes eleven tasks necessary for implementing disposal at WIPP, provided space is available, DOE decides to use this alternative disposal pathway in an updated environmental impact statement, and the State of New Mexico grants permission.

Hadgu, Teklu H.; Simo, Eric K.; Hadgu, Teklu H.; Matteo, Edward N.

Abstract not provided.

Hadgu, Teklu H.; Gomez, Steven P.; Matteo, Edward N.

Abstract not provided.

Appel, Gordon J.; Hadgu, Teklu H.; Appel, Gordon J.; Reynolds, John T.; Garland, Jason P.

Sandia National Laboratories (SNL) continued evaluation of total system performance assessment (TSPA) computing systems for the previously considered Yucca Mountain Project (YMP). This was done to maintain the operational readiness of the computing infrastructure (computer hardware and software) and knowledge capability for total system performance assessment (TSPA) type analysis, as directed by the National Nuclear Security Administration (NNSA), DOE 2010. This work is a continuation of the ongoing readiness evaluation reported in Lee and Hadgu (2014), Hadgu et al. (2015) and Hadgu and Appel (2016). The TSPA computing hardware (CL2014) and storage system described in Hadgu et al. (2015) were used for the current analysis. One floating license of GoldSim with Versions 9.60.300, 10.5, 11.1 and 12.0 was installed on the cluster head node, and its distributed processing capability was mapped on the cluster processors. Other supporting software were tested and installed to support the TSPA- type analysis on the server cluster. The current tasks included preliminary upgrade of the TSPA-LA from Version 9.60.300 to the latest version 12.0 and address DLL-related issues observed in the FY16 work. The model upgrade task successfully converted the Nominal Modeling case to GoldSim Versions 11.1/12. Conversions of the rest of the TSPA models were also attempted but program and operational difficulties precluded this. Upgrade of the remaining of the modeling cases and distributed processing tasks is expected to continue. The 2014 server cluster and supporting software systems are fully operational to support TSPA-LA type analysis.

Kalinina, Elena A.; Hadgu, Teklu H.; Wang, Yifeng; Jove Colon, Carlos F.

Abstract not provided.

Kuhlman, Kristopher L.; Matteo, Edward N.; Hadgu, Teklu H.; Reedlunn, Benjamin R.; Sobolik, Steven R.; Mills, Melissa M.; Kirkes, Leslie D.; Xiong, Yongliang X.; Icenhower, Jonathan I.

This report is a summary of the international collaboration and laboratory work funded by the US Department of Energy Office of Nuclear Energy Spent Fuel and Waste Science & Technology (SFWST) as part of the Sandia National Laboratories Salt R&D work package. This report satisfies milestone levelfour milestone M4SF-17SN010303014. Several stand-alone sections make up this summary report, each completed by the participants. The first two sections discuss international collaborations on geomechanical benchmarking exercises (WEIMOS) and bedded salt investigations (KOSINA), while the last three sections discuss laboratory work conducted on brucite solubility in brine, dissolution of borosilicate glass into brine, and partitioning of fission products into salt phases.

Matteo, Edward N.; Hardin, Ernest H.; Hadgu, Teklu H.

Abstract not provided.

Hadgu, Teklu H.; Matteo, Edward N.

An example case is presented for testing analytical thermal models. The example case represents thermal analysis of a generic repository in bedded salt at 500 m depth. The analysis is part of the study reported in Matteo et al. (2016). Ambient average ground surface temperature of 15°C, and a natural geothermal gradient of 25°C/km, were assumed to calculate temperature at the near field. For generic salt repository concept crushed salt backfill is assumed. For the semi-analytical analysis crushed salt thermal conductivity of 0.57 W/m-K was used. With time the crushed salt is expected to consolidate into intact salt. In this study a backfill thermal conductivity of 3.2 W/m-K (same as intact) is used for sensitivity analysis. Decay heat data for SRS glass is given in Table 1. The rest of the parameter values are shown below. Results of peak temperatures at the waste package surface are given in Table 2.

Kalinina, Elena A.; Hadgu, Teklu H.; Wang, Yifeng

Abstract not provided.

Hadgu, Teklu H.; Kalinina, Elena A.; Wang, Yifeng

Abstract not provided.

Hadgu, Teklu H.; Gomez, Steven P.; Matteo, Edward N.

Abstract not provided.

Matteo, Edward N.; Hadgu, Teklu H.; Hardin, Ernest H.

Abstract not provided.

Jove Colon, Carlos F.; Wang, Yifeng; Hadgu, Teklu H.

Abstract not provided.

Matteo, Edward N.; Hadgu, Teklu H.; Reedlunn, Benjamin R.; Mills, Melissa M.; Hampel, Andreas H.; Simo, Eric K.

Abstract not provided.

Hadgu, Teklu H.; Kalinina, Elena A.; Klise, Katherine A.; Wang, Yifeng

Abstract not provided.

Jove Colon, Carlos F.; Wang, Yifeng; Hadgu, Teklu H.

Abstract not provided.

Kalinina, Elena A.; Hadgu, Teklu H.; Wang, Yifeng

Abstract not provided.

Rechard, Robert P.; Hadgu, Teklu H.; Wang, Yifeng; Sanchez, Lawrence C.; McDaniel, Patrick M.; Skinner, Corey S.; Fathi, Nima F.; Frank, Steven F.; Patterson, Michael P.

Abstract not provided.

Matteo, Edward N.; Hardin, Ernest H.; Hadgu, Teklu H.

Abstract not provided.

Appel, Gordon J.; Hadgu, Teklu H.; Klein, Brandon T.; Miner, John G.

This report describes the use of cloud computing services for running complex public domain performance assessment problems. The work consisted of two phases: Phase 1 was to demonstrate complex codes, on several differently configured servers, could run and compute trivial small scale problems in a commercial cloud infrastructure. Phase 2 focused on proving non-trivial large scale problems could be computed in the commercial cloud environment. The cloud computing effort was successfully applied using codes of interest to the geohydrology and nuclear waste disposal modeling community.

Rechard, Robert P.; Sanchez, Lawrence C.; Hadgu, Teklu H.; Wang, Yifeng; McDaniel, Patrick M.; Skinner, Corey S.; Fathi, Nima F.; Frank, Steven F.; Patterson, Michael P.

Abstract not provided.