The Modeling of Laboratory Experiments with COMSOL Multiphysics Using Simplified Hydromechanical Model

被引:9
|
作者
Narkuniene, Asta [1 ]
Poskas, Povilas [1 ]
Justinavicius, Darius [1 ]
机构
[1] Lithuanian Energy Inst, Nucl Engn Lab, 3 Breslaujos Str, LT-44403 Kaunas, Lithuania
关键词
calcium bentonite; block and pellets; hydration experiment; large-scale oedometer cell; hydro-mechanical modeling; COMSOL Multiphysics; MECHANICAL-BEHAVIOR; WATER-RETENTION; COMPACTED BENTONITE; GAOMIAOZI BENTONITE; BARRIER; CLAY; TEMPERATURES; EVOLUTION; FRAMEWORK; DENSITY;
D O I
10.3390/min11070754
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Coupled physical processes will take place in a multibarrier disposal system for spent nuclear fuel and high-level radioactive waste. The knowledge of these processes (thermal, hydraulic, mechanical, chemical, microbiological, etc.) as well as the scope and scale of their interactions is fundamental for the safety assessment of a disposal facility. Numerical modeling is an important component in the process of acquiring and deepening the knowledge of coupled processes, while experimental evidence isimportant for model validation. This article will present a hydro-mechanical model developed by the Lithuanian Energy Institute (LEI) in the framework of H2020 project BEACON (Bentonite Mechanical Evolution). The non-linear elastic model developed in COMSOL Multiphysics (Burlington, MA 01803, USA) was applied to predict the swelling behavior of large-scale oedometer experiments (MGR) performed by Research Centre for Energy, Environment and Technology (CIEMAT, Spain). In these experiments on bentonite hydration at isochoric conditions, a sample was made of two layers of calcium bentonite (FEBEX type) having initially different hydro-mechanical characteristics: one layer made of pellets and the other of a compacted block. Satisfactory agreement between the modeling results and the experimental data were obtained, especially for water intake and sample saturation.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] The Modeling of Laboratory Experiments on Granular MX-80 Bentonite with COMSOL Multiphysics
    Narkuniene, Asta
    Justinavicius, Darius
    Poskas, Povilas
    Grigaliuniene, Dalia
    Ragaisis, Valdas
    [J]. MINERALS, 2022, 12 (03)
  • [2] Forward modeling of magnetotellurics using Comsol Multiphysics
    Li, A.
    Butler, S. L.
    [J]. APPLIED COMPUTING AND GEOSCIENCES, 2021, 12 (12):
  • [3] Induction Motor Modeling Using COMSOL Multiphysics
    Kocman, Stanislav
    Pecinka, Pavel
    Hruby, Tomas
    [J]. 2016 17TH INTERNATIONAL SCIENTIFIC CONFERENCE ON ELECTRIC POWER ENGINEERING (EPE), 2016, : 408 - 412
  • [4] Modeling of the thermal comfort in vehicles using COMSOL Multiphysics
    Gavrila, Camelia
    Vartires, Andreea
    [J]. ADVANCED TOPICS IN OPTOELECTRONICS, MICROELECTRONICS, AND NANOTECHNOLOGIES VIII, 2016, 10010
  • [5] Modeling of Plasmonic Terahertz Antennas using COMSOL® Multiphysics
    Burford, Nathan
    El-Shenawee, Magda
    [J]. 2015 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION & USNC/URSI NATIONAL RADIO SCIENCE MEETING, 2015, : 2107 - 2108
  • [6] Mathematical modeling of electrical distribution in microchannels using COMSOL Multiphysics
    Yang, Dayong
    Liu, Ying
    [J]. PROCEEDINGS OF FIRST INTERNATIONAL CONFERENCE OF MODELLING AND SIMULATION, VOL III: MODELLING AND SIMULATION IN ELECTRONICS, COMPUTING, AND BIO-MEDICINE, 2008, : 284 - 288
  • [7] Modeling and simulation of wood pyrolysis process using COMSOL Multiphysics
    Solanki, Shikha
    Baruah, Bhargav
    Tiwari, Pankaj
    [J]. BIORESOURCE TECHNOLOGY REPORTS, 2022, 17
  • [8] Stress and Thermal Modeling of Microbolometer using COMSOL Multiphysics Simulator
    Deng, Yu-Zhen
    Tang, Shiang-Feng
    Tung, Der-Kuo
    [J]. PROCEEDINGS OF 4TH IEEE INTERNATIONAL CONFERENCE ON APPLIED SYSTEM INNOVATION 2018 ( IEEE ICASI 2018 ), 2018, : 1149 - 1151
  • [9] Experiments on Temperature Changes of Microbolometer under Blackbody Radiation and Predictions Using Thermal Modeling by COMSOL Multiphysics Simulator
    Deng, Yu-Zhen
    Tang, Shiang-Feng
    Zeng, Hong-Yuan
    Wu, Zheng-Yuan
    Tung, Der-Kuo
    [J]. SENSORS, 2018, 18 (08)
  • [10] Modeling electron transport and multiplication in photomultiplier tubes using COMSOL Multiphysics?
    Beavers, J.
    Huddleston, K.
    Hines, N.
    McNeil, W.
    [J]. JOURNAL OF INSTRUMENTATION, 2022, 17 (12)