科技报告详细信息
GRIZZLY Model of Multi-Reactive Species Diffusion, Moisture/Heat Transfer and Alkali-Silica Reaction for Simulating Concrete Aging and Degradation
Huang, Hai1  Spencer, Benjamin W.1  Cai, Guowei2 
[1] Idaho National Lab. (INL), Idaho Falls, ID (United States);Vanderbilt Univ., Nashville, TN (United States)
关键词: CONCRETES;    NUCLEAR POWER PLANTS;    SILICA;    HEAT TRANSFER;    CEMENTS;    COMPARATIVE EVALUATIONS;    AGING;    MOISTURE;    DIFFUSION;    SWELLING;    CHLORIDES;    GELS;    PERFORMANCE;    COMPUTERIZED SIMULATION;    ALGORITHMS;    ANISOTROPY;    EQUATIONS;    PRECIPITATION;    STRESSES;    SULFATES;    VALIDATION;    CHEMICAL REACTIONS;    CONTAINMENT;    DISSOLUTION;    EQUILIBRIUM;    TIME DEPENDENCE;    EXPANSION;    FORECASTING;    IRRADIATION;    MECHANICS;    SHIELDING;    DECOMPOSITION;    G CODES;    CHEMICAL RADIATION EFFECTS;    POTASSIUM IONS;    SODIUM IONS;    MATHEMATICAL MODELS;    Alkali-silica reactions;    concrete aging;    coupled moisture/heat transfer;    modeling and simulation;    reactive diffusion;   
DOI  :  10.2172/1244622
RP-ID  :  INL/EXT--15-36425
PID  :  OSTI ID: 1244622
Others  :  TRN: US1601050
美国|英语
来源: SciTech Connect
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【 摘 要 】

Concrete is widely used in the construction of nuclear facilities because of its structural strength and its ability to shield radiation. The use of concrete in nuclear power plants for containment and shielding of radiation and radioactive materials has made its performance crucial for the safe operation of the facility. As such, when life extension is considered for nuclear power plants, it is critical to have accurate and reliable predictive tools to address concerns related to various aging processes of concrete structures and the capacity of structures subjected to age-related degradation. The goal of this report is to document the progress of the development and implementation of a fully coupled thermo-hydro-mechanical-chemical model in GRIZZLY code with the ultimate goal to reliably simulate and predict long-term performance and response of aged NPP concrete structures subjected to a number of aging mechanisms including external chemical attacks and volume-changing chemical reactions within concrete structures induced by alkali-silica reactions and long-term exposure to irradiation. Based on a number of survey reports of concrete aging mechanisms relevant to nuclear power plants and recommendations from researchers in concrete community, we???ve implemented three modules during FY15 in GRIZZLY code, (1) multi-species reactive diffusion model within cement materials; (2) coupled moisture and heat transfer model in concrete; and (3) anisotropic, stress-dependent, alkali-silica reaction induced swelling model. The multi-species reactive diffusion model was implemented with the objective to model aging of concrete structures subjected to aggressive external chemical attacks (e.g., chloride attack, sulfate attack, etc.). It considers multiple processes relevant to external chemical attacks such as diffusion of ions in aqueous phase within pore spaces, equilibrium chemical speciation reactions and kinetic mineral dissolution/precipitation. The moisture/heat transfer module was implemented to simulate long-term spatial and temporal evolutions of the moisture and temperature fields within concrete structures at both room and elevated temperatures. The ASR swelling model implemented in GRIZZLY code can simulate anisotropic expansions of ASR gel under either uniaxial, biaxial and triaxial stress states, and can be run simultaneously with the moisture/heat transfer model and coupled with various elastic/inelastic solid mechanics models that were implemented in GRIZZLY code previously. This report provides detailed descriptions of the governing equations, constitutive equations and numerical algorithms of the three modules implemented in GRIZZLY during FY15, simulation results of example problems and model validation results by comparing simulations with available experimental data reported in the literature. The close match between the experiments and simulations clearly demonstrate the potential of GRIZZLY code for reliable evaluation and prediction of long-term performance and response of aged concrete structures in nuclear power plants.

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