Neutronic-Thermohydraulic-Thermomechanic Coupling for the Modeling of Accidents in Nuclear Systems
Juan Antonio Blanco
9th April 2019 Grenoble, France Director: Pablo Rubiolo (CNRS) Co-director: Eric Dumonteil (IRSN)
Nuclear Systems Juan Antonio Blanco 9 th April 2019 Director: Pablo - - PowerPoint PPT Presentation
Neutronic-Thermohydraulic-Thermomechanic Coupling for the Modeling of Accidents in Nuclear Systems Juan Antonio Blanco 9 th April 2019 Director: Pablo Rubiolo (CNRS) Co-director: Eric Dumonteil (IRSN) Grenoble, France Outline 1. Criticality
Juan Antonio Blanco
9th April 2019 Grenoble, France Director: Pablo Rubiolo (CNRS) Co-director: Eric Dumonteil (IRSN)
09/4/2019 Juan Antonio Blanco - CNRS-IRSN 2
09/4/2019
Juan Antonio Blanco - CNRS-IRSN 3
The “Tickling the Tail of the Dragon” accident (Los Alamos, 1945) – Source Atomic Heritage Foundation
09/4/2019 Juan Antonio Blanco - CNRS-IRSN 4
𝑙 ≡ 𝑁𝑣𝑚𝑢𝑗𝑞𝑚𝑗𝑑𝑏𝑢𝑗𝑝𝑜 𝐺𝑏𝑑𝑢𝑝𝑠 ≡ 𝑂𝑣𝑛𝑐𝑓𝑠 𝑝𝑔 𝑜𝑓𝑣𝑢𝑠𝑝𝑜𝑡 𝑗𝑜 𝑝𝑜𝑓 𝑓𝑜𝑓𝑠𝑏𝑢𝑗𝑝𝑜 𝑂𝑣𝑛𝑐𝑓𝑠 𝑝𝑔 𝑜𝑓𝑣𝑢𝑠𝑝𝑜𝑡 𝑗𝑜 𝑞𝑠𝑓𝑑𝑓𝑒𝑗𝑜 𝑓𝑜𝑓𝑠𝑏𝑢𝑗𝑝𝑜 𝒍 < 𝟐 𝝇 < 𝟏 𝒕𝒗𝒄𝒅𝒔𝒋𝒖𝒋𝒅𝒃𝒎 𝒍 = 𝟐 𝝇 = 𝟏 𝒅𝒔𝒋𝒖𝒋𝒅𝒃𝒎 𝒍 > 𝟐 𝝇 > 𝟏 𝒕𝒗𝒒𝒇𝒔𝒅𝒔𝒋𝒖𝒋𝒅𝒃𝒎 𝜍 ≡ 𝑆𝑓𝑏𝑑𝑢𝑗𝑤𝑗𝑢𝑧 ≡ 𝑙 − 1 𝑙 𝜸 = 𝑮𝒔𝒃𝒅𝒖𝒋𝒑𝒐 𝒑𝒈 𝒆𝒇𝒎𝒃𝒛𝒇𝒆 𝒐𝒇𝒗𝒖𝒔𝒑𝒐𝒕
𝑙𝑞 ≡ 𝑸𝒔𝒑𝒏𝒒𝒖 𝑁𝑣𝑚𝑢𝑗𝑞𝑚𝑗𝑑𝑏𝑢𝑗𝑝𝑜 𝐺𝑏𝑑𝑢𝑝𝑠 ≡ 𝑂𝑣𝑛𝑐𝑓𝑠 𝑝𝑔 𝒒𝒔𝒑𝒏𝒒𝒖 𝑜𝑓𝑣𝑢𝑠𝑝𝑜𝑡 𝑗𝑜 𝑝𝑜𝑓 𝑓𝑜𝑓𝑠𝑏𝑢𝑗𝑝𝑜 𝑂𝑣𝑛𝑐𝑓𝑠 𝑝𝑔 𝑜𝑓𝑣𝑢𝑠𝑝𝑜𝑡 𝑗𝑜 𝑞𝑠𝑓𝑑𝑓𝑒𝑗𝑜 𝑓𝑜𝑓𝑠𝑏𝑢𝑗𝑝𝑜 Fission Chain Reaction
𝑱𝒐𝒅𝒋𝒆𝒇𝒐𝒖 𝑶𝒇𝒗𝒖𝒔𝒑𝒐 𝒇𝒚𝒅𝒋𝒖𝒇𝒕 𝑮𝒋𝒕𝒕𝒋𝒎𝒇 𝑶𝒗𝒅𝒎𝒇𝒗𝒕 𝑫𝒑𝒏𝒒𝒑𝒗𝒐𝒆 𝒐𝒗𝒅𝒎𝒇𝒗𝒕 𝒋𝒕 𝒈𝒑𝒔𝒏𝒇𝒆 𝝃 = 𝟑 − 𝟒 𝒐𝒇𝒗𝒖𝒔𝒑𝒐𝒕 𝒃𝒔𝒇 𝒔𝒇𝒎𝒇𝒃𝒕𝒇𝒆 𝟐 − 𝜸 𝝃 𝒒𝒔𝒑𝒏𝒒𝒖 𝒐𝒇𝒗𝒖𝒔𝒑𝒐𝒕 𝜸𝝃 𝒆𝒇𝒎𝒃𝒛𝒇𝒆 𝒐𝒇𝒗𝒖𝒔𝒑𝒐𝒕
𝑸𝒃𝒔𝒖𝒋𝒅𝒗𝒎𝒃𝒔 𝑫𝒃𝒕𝒇 𝜍 > 𝛾 𝑡𝑣𝑞𝑓𝑠 𝑞𝑠𝑝𝑛𝑞𝑢 𝑑𝑠𝑗𝑢𝑗𝑑𝑏𝑚 𝑮𝒋𝒕𝒕𝒋𝒑𝒐 𝒅𝒊𝒃𝒋𝒐 𝒋𝒕 𝒕𝒗𝒕𝒖𝒃𝒋𝒐𝒇𝒆 𝒑𝒐𝒎𝒛 𝒙𝒋𝒖𝒊 𝒒𝒔𝒑𝒏𝒒𝒖 𝒐𝒇𝒗𝒖𝒔𝒑𝒐𝒕 𝑻𝒗𝒒𝒇𝒔𝒅𝒔𝒋𝒖𝒋𝒅𝒃𝒎 𝑢~0.1 𝑡 𝑻𝒗𝒒𝒇𝒔 𝑸𝒔𝒑𝒏𝒒𝒖 𝑫𝒔𝒋𝒖𝒋𝒅𝒃𝒎 𝑢~10−6𝑡
09/4/2019 Juan Antonio Blanco - CNRS-IRSN 5
Doppler Broadening
➢ Dependence of neutron cross sections
➢ Target nuclei are in continual motion
➢ With increasing temperature the nuclei
➢ Broadening of the energy range of
𝐹 𝐹0 𝜏(𝐹, 𝑈) 𝑈
1 < 𝑈2 < 𝑈3
𝑈
1
𝑈2 𝑈3
09/4/2019
Juan Antonio Blanco - CNRS-IRSN 6
➢ Variety of accidents and experiments were reviewed ➢ Goal: select cases to cover a wide range of phenomena
09/4/2019
Current numerical models used by the safety authority limited for criticality accidents in: Geometry modelling Transient simulated time
Develop a more general transient multi-physics multiscale tool with: Detailed phenomena modelling Higher space/time scale flexibility Best-estimate (Not conservative)
Juan Antonio Blanco - CNRS-IRSN 7
09/4/2019
Mechanistic model Account for all relevant phenomena High time/space scale flexibility
Juan Antonio Blanco - CNRS-IRSN 8
OpenFOAM is an open source software based in C++ for
numerical resolution of the continuum mechanics including CFD
Serpent 2 is a 3D continue in energy Monte Carlo code for
reactor physics and irradiation calculus (burnup)
09/4/2019 Juan Antonio Blanco - CNRS-IRSN 9
CFD C++ Library Monte Carlo Code (Serpent)
09/4/2019 Juan Antonio Blanco - CNRS-IRSN 10
09/4/2019
Experiment description:
Geometry: sphere Size: ~8.85 cm radius Fuel: enriched Uranium (95%) Mass: ~54 𝑙 Reactivity control mechanisms: none
Key phenomena to be modeled:
Super prompt critical transient (ρ>β) Thermal expansion (density and leakage feedback) Doppler effect (temperature feedback )
Juan Antonio Blanco - CNRS-IRSN 11
𝑢 − 𝑢𝑛 𝑄𝑓𝑠𝑗𝑝𝑒 𝑆𝑓𝑚𝑏𝑢𝑗𝑤𝑓 𝐵𝑛𝑞𝑚𝑗𝑢𝑣𝑒𝑓
09/4/2019
Monte-Carlo (SERPENT) Dynamic Mesh Models for thermal expansion Stress-Strain Analysis SPN Method
Juan Antonio Blanco - CNRS-IRSN 12
09/4/2019 Juan Antonio Blanco - CNRS-IRSN 13
𝑒=1 𝐻𝑒 𝜓𝑒 𝐹
Rate of change Streaming + Disappearance + Scattering + Fissions Delayed Neutrons source Local rate
Convection Diffusion Production Destruction
Neutron population described by Boltzmann equation and a balance
Liquid Media
09/4/2019 Juan Antonio Blanco - CNRS-IRSN 14
𝐵𝑜𝑚𝑓 (Ω) Diffusion Simplified PN PN/ SN /Pij Monte Carlo 𝑈𝑗𝑛𝑓 (𝑢) Point Kinetics Quasi-Static Method Direct Calculation
Ԧ 𝐾 = −𝐸𝛼𝜚
Cross Section Legendre Polynomials expansion
Quadrature
larger time steps
derivative
𝐹𝑜𝑓𝑠𝑧 (𝐹) One-group Multi-Group Continuous
The transient multigroup SP3 equations consist in a set of two coupled PDEs The order 0 is identical to diffusion approximation equation The order 2 takes into account anisotropies in the scattering cross section with a
09/4/2019
1 𝑊 𝜖 𝜚0 𝜖𝑢 = 𝛼 1 3 Σ1 −1𝛼
𝜚0 − Σ0 𝜚0 +
𝐺 𝑙
𝜚0 − 2𝜚2 + 2Σ0𝜚2 + 2
𝑊 𝜖𝜚2 𝜖𝑢 + 𝑇𝑒 3 𝑊 𝜖𝜚2 𝜖𝑢 = 𝛼 3 7 Σ3 −1𝛼𝜚2 − 5 3 Σ2 + 4 3 Σ0 𝜚2 − 2 3 𝐺 𝑙
𝜚0 − 2𝜚2 + 2
3 Σ0
𝜚0 +
2 3𝑊 𝜖 𝜚0 𝜖𝑢 − 2 3 𝑇𝑒
Juan Antonio Blanco - CNRS-IRSN 15
09/4/2019
First
Second hypothesis: makes the two separated functions unique
0 Ԧ
Juan Antonio Blanco - CNRS-IRSN 16
09/4/2019
1 𝑤 𝜖𝜚 𝜖𝑢 = ℒ − 1 𝑤 Τ 𝑒𝑜 𝑢 𝑒𝑢 𝑜 𝑢 𝜚 + 1 𝑜 𝑢
𝑒=1 𝐻𝑒 𝜓𝑒
4𝜌 𝜇𝑒𝐷𝑒 𝜖𝐷𝑒 𝜖𝑢 = 𝛾𝑒𝐺𝜚 𝑜 𝑢 − 𝜇𝑒𝐷𝑒 d𝑜 𝑢 d𝑢 = 𝜍 − 𝛾𝑒
𝑓𝑔𝑔
𝛭 𝑜 𝑢 +
𝑒=1 𝐻𝑒
𝜇𝑒 ҧ 𝑑𝑒 (𝑢) 𝑒 ҧ 𝑑𝑒(𝑢) 𝑒𝑢 = 𝛾𝑒
𝑓𝑔𝑔
𝛭 𝑜 𝑢 − 𝜇𝑒 ҧ 𝑑𝑒(𝑢) Neutron flux shape equations Neutron flux Amplitude Equations 1 𝑤 𝜖𝜔 𝜖𝑢 = ℒ𝜔 +
𝑒=1 𝐻𝑒 𝜓𝑒
4𝜌 𝜇𝑒𝐷𝑒 𝜖𝐷𝑒 𝜖𝑢 = 𝛾𝑒F𝜔 − 𝜇𝑒𝐷𝑒 Transport Equations
Juan Antonio Blanco - CNRS-IRSN 17
𝜖𝜚 𝜖𝑢 = 0
𝑃𝑠𝑗𝑗𝑜𝑏𝑚 𝑅𝑣𝑏𝑡𝑗 𝑇𝑢𝑏𝑢𝑗𝑑
𝑒𝑜 𝑒𝑢 = 0
𝐵𝑒𝑗𝑏𝑐𝑏𝑢𝑗𝑑 𝑅𝑣𝑏𝑡𝑗 𝑇𝑢𝑏𝑢𝑗𝑑 𝐽𝑛𝑞𝑠𝑝𝑤𝑓𝑒 𝑅𝑣𝑏𝑡𝑗 𝑇𝑢𝑏𝑢𝑗𝑑
09/4/2019 Juan Antonio Blanco - CNRS-IRSN 18
𝜖𝜚 𝜖𝑢 ≠ 0 𝑒𝑜 𝑢 𝑒𝑢 ≠ 0 𝐽𝑛𝑞𝑠𝑝𝑤𝑓𝑒 𝑅𝑣𝑏𝑡𝑗 𝑇𝑢𝑏𝑢𝑗𝑑 𝜖𝜚 𝜖𝑢 = 0 𝑒𝑜 𝑢 𝑒𝑢 ≠ 0 𝑃𝑠𝑗𝑗𝑜𝑏𝑚 𝑅𝑣𝑏𝑡𝑗 𝑇𝑢𝑏𝑢𝑗𝑑 𝜖𝜚 𝜖𝑢 = 0 𝑒𝑜 𝑢 𝑒𝑢 = 0 𝐵𝑒𝑗𝑏𝑐𝑏𝑢𝑗𝑑 𝑅𝑣𝑏𝑡𝑗 𝑇𝑢𝑏𝑢𝑗𝑑
Sensibility study for 90$/s (ρ/β) reactivity
Adiabatic case (yellow) seems to be the less
Adiabatic case will be used for Monte Carlo
09/4/2019
Dynamic Mesh Models for thermal expansion Stress-Strain Analysis
Juan Antonio Blanco - CNRS-IRSN 19
A linear elastic solid model with thermal expansion was used to
The governing equation are obtained from the force balance for the
09/4/2019
) 𝜖2(𝜍𝐸 𝜖𝑢2 = 𝛼 𝜈𝛼𝐸 + 𝜈 𝛼𝐸 𝑈 + 𝜇𝐽𝑢𝑠 𝛼𝐸 + 𝛼 𝐹 1 − 2𝜉 𝛽𝑈 ) 𝜖(𝜍𝑑𝑈 𝜖𝑢 = 𝛼 𝑙𝛼𝑈 + 𝑟𝑔𝑗𝑡𝑡𝑗𝑝𝑜
′′′
The temperature field T is calculated via the heat transfer equation Important for thermal expansion and density feedback Differential Element Force Balance
Juan Antonio Blanco - CNRS-IRSN 20
Coupling term
𝜏 = 2𝜈𝜗 + 𝜇𝑢𝑠 𝜗 𝐽 𝜗 = 1 2 𝛼𝐸 + 𝛼𝐸𝑈
Thermal- mechanics
09/4/2019
Energy Equation Solid Mechanics Equation Update Mesh: Move Points Routine Temperature Field Displacement Field Update Density Field New Mesh Neutronic Equation Power Field Density Field Temperature Field New Mesh
Juan Antonio Blanco - CNRS-IRSN 22
➢ Mesh discretization (~100000 cells) ➢ Adaptive mesh for thermal expansion implemented in OpenFOAM ➢ Density fields updated for accounting geometry changes
09/4/2019 Juan Antonio Blanco - CNRS-IRSN 23
09/4/2019
𝝇 𝜸 ~ 𝟐. 𝟏𝟕 $
𝒔 ~ 𝟗. 𝟗𝟔 𝒅𝒏
𝑭𝒚𝒇𝒅𝒗𝒖𝒋𝒑𝒐𝑼𝒋𝒏𝒇 = 𝟓. 𝟐𝒊
𝟐 𝒒𝒔𝒑𝒅𝒇𝒕𝒕𝒑𝒔 𝟐. 𝟖𝑯𝒊𝒜 (𝑷𝒒𝒇𝒐𝑮𝑷𝑩𝑵)
𝟐𝟏 𝒒𝒔𝒑𝒅𝒇𝒕𝒕𝒑𝒔𝒕 𝟐. 𝟖𝑯𝒊𝒜 𝑻𝒇𝒔𝒒𝒇𝒐𝒖
Flux
Juan Antonio Blanco - CNRS-IRSN 24
Godiva Experiment
Time[µs] Time[µs] Time[µs] Time[µs]
09/4/2019
Flux Field Order 0 Energy Group 1/8 Density Field
𝝇 𝜸 ~ 𝟐. 𝟏𝟐𝟔 $
𝒔 ~ 𝟗. 𝟓 𝒅𝒏
𝑭𝒚𝒇𝒅𝒗𝒖𝒋𝒑𝒐𝑼𝒋𝒏𝒇 = 𝟑. 𝟐𝒊
𝟐 𝒒𝒔𝒑𝒅𝒇𝒕𝒕𝒑𝒔 𝟐. 𝟖𝑯𝒊𝒜
Juan Antonio Blanco - CNRS-IRSN 25
Godiva Experiment
Both SP3 and Serpent QS provide consistent simulation results to experimental data The initial reactivity (k-eff) obtained by the SP3 and Serpent methods were not the
same in these preliminary results due to the approximations made by each method
A more precisely evaluation is currently underway to obtain closer initial conditions Calculation Time: SP3 is quicker than Quasi-Static serpent but the latter is more precise Advantage SP3: useful for quicker testing of other parts of the coupling (TM or TH) Cross Section data for SP3: condensed in Serpent taking into account Legendre
polynomial expansion. This step is time consuming and has to be added to the total calculation time
09/4/2019
Juan Antonio Blanco - CNRS-IRSN 26
09/4/2019 Juan Antonio Blanco - CNRS-IRSN 27
Good agreement for Godiva transient was obtained The adiabatic method is inaccurate for extreme transients (90$/s). Still it is
Three neutronics method have been implemented in the multiphysics tool
Larger spectrum of sizes, times and energy
09/4/2019 Juan Antonio Blanco - CNRS-IRSN 28
09/4/2019
Two-phase flow
Compressible Model Radyolisis Models
Juan Antonio Blanco - CNRS-IRSN 29
Porous Media
Heating and radiolysis gas formation Power increase
Bubble Migration to the surface and release
1st Peak 2nd Peak Oscillations Pseudo-Steady-State
Power Time
Experiment description:
Geometry: Annular cylinder Size: 36 cm diameter and ~23 cm height Fuel: solution of enriched uranyl nitrate (~93%) Reactivity control mechanisms:
Control rod Liquid fuel level
Principal Phenomena
Super prompt critical transient (ρ>β) Precursors transport Radiolysis: gas phase production Pressure waves Free surface sloshing
Juan Antonio Blanco - CNRS-IRSN 30 09/4/2019
Experiment description:
Geometry: Assemblies grouped in racks Fuel: PWR/BWR Assemblies Reactivity control mechanisms:
Neutron Poisons
Principal Phenomena
Biphasic Porous Media Criticality Margins
Juan Antonio Blanco - CNRS-IRSN 31 09/4/2019
09/4/2019 Juan Antonio Blanco - CNRS-IRSN 32