117 research outputs found
Multi-device study of characteristics of disruptive magnetohydrodynamic modes in Tokamaks
Fusion plasmas confined in tokamaks by magnetic fields often experience disruptions,
i.e. sudden losses of the plasma confinement, consisting of a fast thermal
quench followed by a plasma current quench, accompanied by the destabilization
of the vertical position of the plasma column. Disruptions are a serious threat to
the device components in terms of large heat and particle loads on the plasmafacing
components and the forces applied on the various components of the device.
Disruption avoidance, prediction and, in case of an unavoidable disruption, mitigation,
is a prerequisite for safe, efficient operation of large tokamaks (e.g. ITER,
currently under construction). Disruption onset is known to be linked with the
development of magnetohydrodynamic (MHD) modes. In particular, the crossing
of a critical value of the mode amplitude has been identified as a main disruption
trigger in the past (de Vries, 2011). This thesis addresses multiple aspects of MHD
mode development prior to a disruption. The main diagnostic instruments serving
for the mode amplitude monitoring were magnetic sensors, particularly saddle and
Mirnov coils. The main tool in the work is an extensive (> 1100 entries) database
of discharges terminated by a disruption. The database consists of measurements
from devices of various plasma size (COMPASS, ASDEX Upgrade, DIII-D, JET),
but similar aspect ratios. Identical data selection criteria were applied across all
devices for compiling the database. All database entries were manually classified
according to the main cause leading to onset of the MHD mode. Earlier works
reported that in large devices, most of the modes were static in the laboratory
frame (โlockedโ) (de Vries, 2016). However, in general modes are often observed
to rotate prior to becoming locked, as also seen in the database compiled in this
work. This thesis addresses important characteristics of both rotating and locked
modes in the context of the disruption initiation. The mode amplitude development
is followed throughout the mode braking, the stationary phase of the mode
and the disruption onset. The observations reported in this work may contribute
to a set of design criteria for future disruption forecasting schemes. The work
explores both existing physical models for describing mode dynamics, as well as a
phenomenological description of mode behavior on the basis of the multi-machine
database.
A first part of the work aims to validate a model for mode locking on the
basis of a reduced database of ASDEX Upgrade discharges. Not discriminating
between plasma configurations, the model allows to estimate the duration of the
deceleration phase, as well as the critical mode width for locking. Both quantities
are important for the design of algorithms that aim to avoid disruptions by
means of external actuators. The reduced ASDEX Upgrade database consists of
discharges covering a broad range of plasma parameters and discharge scenarios.
It was found that the model successfully describes locking of large modes in those
cases where the mode deceleration started in a quasi-stationary phase of the discharge
(i.e. with low variability of the global plasma angular momentum prior to
mode seeding) and where deceleration took place over temporal intervals that are
long in comparison with the momentum confinement time. Theoretical braking
curves and locking durations predicted with the model were in good quantitative agreement with the experimental data. On the other hand, the model failed to reproduce the braking curves of modes appearing towards the end of a transient
phase, e.g. during an impurity influx or when approaching the disruptive density
limit. A modified mode equation of motion is proposed, which accounts for transient
variation of the plasma density, e.g. during the development of a MARFE
and its poloidal destabilization from its stable location at the plasma X-point.
The experimental and theoretical mode braking curves were in closer accordance
when the modified model was applied.
The second part of the work focuses on the analysis of the duration of (quasi-)
stationary modes, as well as the pre-disruptive growth of the measured mode amplitude.
In addition, regression analysis is conducted of the locked phase duration
and a previously derived scaling for the disruptive mode amplitude is validated
(de Vries, 2016). The study was performed using the full database of disruptive
discharges covering a broad range of plasma parameters, including a considerable
range of plasma dimensions. The measured mode durations span several orders
of magnitude in all devices, but nevertheless the median duration is seen to increase
with plasma size. Several factors are discussed that could influence the
locked mode duration, such as the plasma control system response to exceptional
situations (e.g. switching on or off external heating modules, initiation of a fast
plasma current ramp-down, plasma shape modification etc.), the specific location
of the discharge within the typical device parametric space (often reflected in the
disruption root cause) and the occurrence of minor disruptive events (accompanied
by a partial loss of the plasma confinement). The scaling formula for the
disruptive mode amplitude is reported to systematically overestimate the experimental
amplitudes in case of modes detected with magnetic sensors located at
the torus high-field-side. A proposal for modifying the scaling, adjusting for this
case, is presented. The modified scaling equation allowed more accurate predictions
of the critical mode amplitude threshold. Linear extrapolation with plasma
size of both experimental and predicted times-to-disruptions and the associated
fraction of disruptions suggests that, in devices with large plasma minor radius,
the locked modes will grow on time scales that are long enough to allow for disruption
mitigation by means of fast massive gas injection or pellet injection. A
regression analysis aimed at establishing a scaling relation for the locked mode
phase duration with plasma parameters. A physically plausible scaling relation
could be established, which however explains only part of the variability of the
data. Possible origins of the remaining scatter are discussed, such as the onset
of minor disruptions in the presence of the mode, mode re-rotation under a constant
external torque input etc. Application of the scaling to the ITER Baseline
scenario suggests that the locked phase duration will be of the order of hundreds
of milliseconds or seconds in ITER, depending on the particular disruption root cause. Such time scales are in favour of a timely disruption mitigation in ITER
Multi-device study of characteristics of disruptive magnetohydrodynamic modes in tokamaks
Fusion plasmas confined in tokamaks by magnetic fields often experience disruptions,
i.e. sudden losses of the plasma confinement, consisting of a fast thermal
quench followed by a plasma current quench, accompanied by the destabilization
of the vertical position of the plasma column. Disruptions are a serious threat to
the device components in terms of large heat and particle loads on the plasmafacing
components and the forces applied on the various components of the device.
Disruption avoidance, prediction and, in case of an unavoidable disruption, mitigation,
is a prerequisite for safe, efficient operation of large tokamaks (e.g. ITER,
currently under construction). Disruption onset is known to be linked with the
development of magnetohydrodynamic (MHD) modes. In particular, the crossing
of a critical value of the mode amplitude has been identified as a main disruption
trigger in the past (de Vries, 2011). This thesis addresses multiple aspects of MHD
mode development prior to a disruption. The main diagnostic instruments serving
for the mode amplitude monitoring were magnetic sensors, particularly saddle and
Mirnov coils. The main tool in the work is an extensive (> 1100 entries) database
of discharges terminated by a disruption. The database consists of measurements
from devices of various plasma size (COMPASS, ASDEX Upgrade, DIII-D, JET),
but similar aspect ratios. Identical data selection criteria were applied across all
devices for compiling the database. All database entries were manually classified
according to the main cause leading to onset of the MHD mode. Earlier works
reported that in large devices, most of the modes were static in the laboratory
frame (โlockedโ) (de Vries, 2016). However, in general modes are often observed
to rotate prior to becoming locked, as also seen in the database compiled in this
work. This thesis addresses important characteristics of both rotating and locked
modes in the context of the disruption initiation. The mode amplitude development
is followed throughout the mode braking, the stationary phase of the mode
and the disruption onset. The observations reported in this work may contribute
to a set of design criteria for future disruption forecasting schemes. The work
explores both existing physical models for describing mode dynamics, as well as a
phenomenological description of mode behavior on the basis of the multi-machine
database.
A first part of the work aims to validate a model for mode locking on the
basis of a reduced database of ASDEX Upgrade discharges. Not discriminating
between plasma configurations, the model allows to estimate the duration of the
deceleration phase, as well as the critical mode width for locking. Both quantities
are important for the design of algorithms that aim to avoid disruptions by
means of external actuators. The reduced ASDEX Upgrade database consists of
discharges covering a broad range of plasma parameters and discharge scenarios.
It was found that the model successfully describes locking of large modes in those
cases where the mode deceleration started in a quasi-stationary phase of the discharge
(i.e. with low variability of the global plasma angular momentum prior to
mode seeding) and where deceleration took place over temporal intervals that are
long in comparison with the momentum confinement time. Theoretical braking
curves and locking durations predicted with the model were in good quantitative agreement with the experimental data. On the other hand, the model failed to reproduce the braking curves of modes appearing towards the end of a transient
phase, e.g. during an impurity influx or when approaching the disruptive density
limit. A modified mode equation of motion is proposed, which accounts for transient
variation of the plasma density, e.g. during the development of a MARFE
and its poloidal destabilization from its stable location at the plasma X-point.
The experimental and theoretical mode braking curves were in closer accordance
when the modified model was applied.
The second part of the work focuses on the analysis of the duration of (quasi-)
stationary modes, as well as the pre-disruptive growth of the measured mode amplitude.
In addition, regression analysis is conducted of the locked phase duration
and a previously derived scaling for the disruptive mode amplitude is validated
(de Vries, 2016). The study was performed using the full database of disruptive
discharges covering a broad range of plasma parameters, including a considerable
range of plasma dimensions. The measured mode durations span several orders
of magnitude in all devices, but nevertheless the median duration is seen to increase
with plasma size. Several factors are discussed that could influence the
locked mode duration, such as the plasma control system response to exceptional
situations (e.g. switching on or off external heating modules, initiation of a fast
plasma current ramp-down, plasma shape modification etc.), the specific location
of the discharge within the typical device parametric space (often reflected in the
disruption root cause) and the occurrence of minor disruptive events (accompanied
by a partial loss of the plasma confinement). The scaling formula for the
disruptive mode amplitude is reported to systematically overestimate the experimental
amplitudes in case of modes detected with magnetic sensors located at
the torus high-field-side. A proposal for modifying the scaling, adjusting for this
case, is presented. The modified scaling equation allowed more accurate predictions
of the critical mode amplitude threshold. Linear extrapolation with plasma
size of both experimental and predicted times-to-disruptions and the associated
fraction of disruptions suggests that, in devices with large plasma minor radius,
the locked modes will grow on time scales that are long enough to allow for disruption
mitigation by means of fast massive gas injection or pellet injection. A
regression analysis aimed at establishing a scaling relation for the locked mode
phase duration with plasma parameters. A physically plausible scaling relation
could be established, which however explains only part of the variability of the
data. Possible origins of the remaining scatter are discussed, such as the onset
of minor disruptions in the presence of the mode, mode re-rotation under a constant
external torque input etc. Application of the scaling to the ITER Baseline
scenario suggests that the locked phase duration will be of the order of hundreds
of milliseconds or seconds in ITER, depending on the particular disruption root cause. Such time scales are in favour of a timely disruption mitigation in ITER
Diamagnetic Stabilization of Double-tearing Modes in MHD Simulations
Double-tearing modes have been proposed as a driver of โoff-axis sawtoothโ crashes in reverse magnetic shear tokamak configurations. The DTM consists of two nearby rational surfaces of equal safety factor that couple to produce a reconnecting mode weakly dependent on resistivity and capable of nonlinearly disrupting the annular current. In this dissertation we examine the linear and nonlinear growth of the DTM using the extended magnetohydrodynamic simulation code MRC-3d. We consider the efficacy of equilibrium diamagnetic drifts, which emerge in the presence of a pressure gradient when ion inertial physics is included, as a means of stabilizing DTM activity. In linear slab simulations we find that a differential diamagnetic drift at the two resonant surfaces is able to both interfere with the inter-surface coupling and suppress the reconnection process internal to the tearing layers. Applying these results to a m=2, n=1 DTM in cylindrical geometry, we find that asymmetries between the resonant layers and the presence of an ideal MHD mode result in stabilization being highly dependent on the location of the pressure gradient. We achieve a significant reduction in the linear DTM growth rate by locating a strong diamagnetic drift at the outer resonant surface. In nonlinear simulations we show that growth of the magnetic islands may enhance the pressure gradient near the DTM current sheets and significantly delay disruption. Only by locating a strong drift near the outer, dominant resonant surface are we able to saturate the mode and preserve the annular current ring, suggesting that the appearance of DTM activity in advanced tokamaks may depend on the details of the plasma pressure profile
Newly uncovered physics of MHD instabilities using 2-D electron cyclotron emission imaging system in toroidal plasmas
Validation of physics models using the newly uncovered physics with a 2-D electron cyclotron emission imaging (ECEi) system for magnetic fusion plasmas has either enhanced the confidence or substantially improved the modeling capability. The discarded "full reconnection model" in sawtooth instability is vindicated and established that symmetry and magnetic shear of the 1/1 kink mode are critical parameters in sawtooth instability. For the 2/1 instability, it is demonstrated that the 2-D data can determine critical physics parameters with a high confidence and the measured anisotropic distribution of the turbulence and its flow in presence of the 2/1 island is validated by the modelled potential and gyro-kinetic calculation. The validation process of the measured reversed-shear Alfveneigenmode (RSAE) structures has improved deficiencies of prior models. The 2-D images of internal structure of the ELMs and turbulence induced by the resonant magnetic perturbation (RMP) have provided an opportunity to establish firm physics basis of the ELM instability and role of RMPs. The importance of symmetry in determining the reconnection time scale and role of magnetic shear of the 1/1 kink mode in sawtooth instability may be relevant to the underlying physics of the violent kink instability of the filament ropes in a solar flare
On the mechanism of RMP-driven pedestal transport and ELM suppression in KSTAR
ํ์๋
ผ๋ฌธ (๋ฐ์ฌ) -- ์์ธ๋ํ๊ต ๋ํ์ : ๊ณต๊ณผ๋ํ ์๋์ง์์คํ
๊ณตํ๋ถ, 2020. 8. ๋์ฉ์.A tokamak is a torus device that uses a helical magnetic field to confine a hot plasma. It has been developed to produce controlled thermonuclear fusion power. For the ignition of fusion, high-performance plasma must be sustained for sufficient time. Plasma instability can cause a strong perturbation in the plasma and worsen the plasma confinement. Therefore, it is essential to understand and control the plasma instability.
Edge Localized Modes (ELM) are rapid Magneto-hydrodynamics (MHD) events occurring at the edge region of tokamak plasmas, which can result in damages to the divertor plates. Various methods were developed to control ELM, and among them, the ELM suppression by resonant magnetic perturbation (RMP) showed promising results. Therefore, to fully suppress ELMs via RMP is of great interest to reach and sustain high-performance H-mode discharges. It was found that certain conditions must be met for the RMP-driven ELM crash suppression, so understanding its mechanism is crucial for reliable ELM control using RMP.
This thesis addresses the effect of RMP on pedestal transport and the mechanism of RMP-driven ELM suppression. They are investigated with nonlinear reduced MHD simulations on KSTAR plasmas. First, I developed a numerical method to reconstruct accurate plasma equilibrium, which is an essential component for these state-of-the-art simulations. I employed theoretical models and numerical schemes to solve obstacles in kinetic equilibrium reconstruction. Second, the effect of RMP on pedestal transport is investigated. The numerical simulation shows that RMP forms the kink-peeling structure, the stochastic layer, and neoclassical toroidal viscosity (NTV). The convective and conductive radial fluxes from these responses increase the radial transport and result in the degradation of the pedestal.
Finally, I successfully reproduce ELM suppression by RMP in agreement with experiments. One of the main conclusion of this work is that the ELM crash suppression is attributable not only to the degraded pedestal but also to direct a coupling between ELM and RMP-driven plasma response. The coupling effect 1) enhances the size of magnetic islands at the pedestal, reducing the instability source by further pedestal degradation, and 2) increases the spectral transfer between edge harmonics preventing catastrophic growth and crash of the most unstable modes. Due to these effects, ELMs are non-linearly saturated, and the peeling-ballooning mode activity persists during the suppression phase without a sharp mode crash. I discuss a condition to reinforce this coupling effect for ELM suppression.
In summary, this thesis reveals the importance of plasma response and mode coupling to explain the RMP-driven pedestal transport and ELM suppression. In particular, it improves the previous understanding of the mechanism by discovering the contribution of nonlinear mode interaction on the ELM suppression mechanism. Based on this study, new insight and approach for ELM control are expected to be developed.ํ๋ผ์ฆ๋ง ๊ฒฝ๊ณ ๋ถ์์ ์ฑ (ELM) ์ ํ ์นด๋ง ํ๋ผ์ฆ๋ง์ ๊ฒฝ๊ณ ํ๋ฐ์คํ ์์ญ์์ ๋ฐ์ํ๋ ๊ธ๊ฒฉํ MHD ๋ถ์์ ์ฑ์ผ๋ก, ํ ์นด๋ง ๋ด๋ฒฝ๊ณผ ๋ค์ด๋ฒํฐ์ ์น๋ช
์ ์ธ ์์์ ์
ํ ์ ์๋ค. ๋ฐ๋ผ์, ๊ณ ์ฑ๋ฅ ํ๋ผ์ฆ๋ง ์ด์ ์ ์ ์งํ๊ณ ํต์ตํฉ ๋ฐ์์ ์ผ์ผํค๊ธฐ ์ํด์๋ ELM์ ์ต์ ํ๋ ๊ฒ์ด ํ์์ ์ด๋ค. ๊ณผ๊ฑฐ ์คํ ์ฐ๊ตฌ๋ก๋ถํฐ ๊ณต๋ช
์์ฅ ์ญ๋ (RMP) ์ ํตํด ELM ์ต์ ๊ฐ ๊ฐ๋ฅํ๋ค๋ ๊ฒ์ด ๋ฐํ์ก๋ค. ๊ทธ๋ฌ๋, RMP๋ฅผ ํ์ฉํด ELM์ ์ ์ดํ๊ธฐ ์ํด์๋ ํน์ ์กฐ๊ฑด๋ค์ด ๋ฐ๋์ ์ถฉ์กฑ๋์ด์ผ ํ๊ณ , ์ด๋ ๋งค์ฐ ์ข์ ์๋ ์์ญ์ ๊ฐ๋๋ค. ๊ทธ๋ฌ๋ฏ๋ก, ์์ ์ ์ธ ELM ์ ์ด๋ฅผ ์ํด์๋ RMP-ELM ์ ์ด ๋ฉ์ปค๋์ฆ์ ์ดํดํ๋ ๊ฒ์ด ์ค์ํ๋ค.
์ด ๋
ผ๋ฌธ์ RMP ์ธ๊ฐ์ ๋ฐ๋ฅธ ํ๋ฐ์คํ ์์ญ์ ํ๋ผ์ฆ๋ง ์์ก ๋ณํ์ ELM ์ต์ ๋ฉ์ปค๋์ฆ์ ๋ํ MHD ๊ธฐ๋ฐ ์์น ์ฐ๊ตฌ๋ฅผ ๋ค๋ฃฌ๋ค. ์ฒซ์งธ๋ก, KSTAR ํ๋ผ์ฆ๋ง ๋์์ผ๋ก ๋น์ ํ MHD ์๋ฎฌ๋ ์ด์
์ ์ํํ๋ ๋ฐ ํ์ํ ๊ณ ์ฑ๋ฅ ํ๋ผ์ฆ๋ง ๊ตฌ์ถ ๋ฐฉ๋ฒ๋ก ์ ๊ฐ๋ฐํ์๋ค. ํด๋น ํํ ๊ณ์ฐ์ ์ด๋ ค์์ ํด๊ฒฐํ๊ธฐ ์ํด ์ด๋ก ์ ๋ชจ๋ธ๊ณผ ์ฌ๋ฌ ์์น ๊ธฐ๋ฒ๋ค์ด ์ฌ์ฉ๋๋ฉฐ, ๋น์ ํ MHD ์ฐ๊ตฌ์ ์ ํฉํ ์์ฑ๋ ๋์ ํ๋ผ์ฆ๋ง ํํ์ด ๋์ถ๋์๋ค.
๋์งธ๋ก, RMP์ธ๊ฐ์ ๋ฐ๋ฅธ MHD ๊ธฐ๋ฐ์ ํ๋ฐ์คํ ์์ก ํ์์ ๋ถ์ํ์๋ค. RMP์ ์ํด ๊ตฌ๋๋๋ ๋คํ๋ฆผ-๊ป์ง ์๋ต (KPM) ๋ฐ ํ๋ฅ ์ ์์ก ์ธต์ด ๋ฐ์ํ๋ค. ํด๋น ์์๋ค๋ก ์ธํด ํ๋ฐ์คํ ์์ญ์์ ๋๋ฅ, ์ ๋์ฑ ๋ฐ ์ ๊ณ ์ (NTV) ํ๋ผ์ฆ๋ง ์์ก์ ์ฆ๊ฐํ๋ฉฐ ์จ๋์ ๋ฐ๋ ํ๋ฐ์คํ์ ๊ธฐ์ธ๊ธฐ๊ฐ ์ค์ด๋๋ ๊ฒ์ ์ค๋ช
ํ์๋ค. KSTAR ์คํ์์ ๊ด์ธก๋ ๊ฒฐ๊ณผ์์ ๋น๊ต๋ฅผ ํตํด ๋ณธ MHD ๊ธฐ๋ฐ์ ์์ก ์ฐ๊ตฌ ๊ฒฐ๊ณผ์ ํ๋น์ฑ์ ์ผ๋ถ๋ถ ํ๋ณดํ์์ผ๋, ์คํ ๊ฒฐ๊ณผ๋ฅผ ์์ ํ ์ค๋ช
ํ๊ธฐ ์ํด์๋ ๋๋ฅ ์์ก๊ณผ ๊ฐ์ ์ถ๊ฐ์ ์ธ ๋ฌผ๋ฆฌ ๊ธฐ์์ด ํ์ํ๋ค๋ ๊ฒ์ด ํ์ธ๋์๋ค.
๋ง์ง๋ง์ผ๋ก, KSTAR ์คํ๊ณผ ์ ์ฌํ ์กฐ๊ฑด์ RMP ์ธ๊ฐ์ ๋ฐ๋ฅธ ELM ์ต์ ํ์์ ์๋ฎฌ๋ ์ด์
์์์ ์ฑ๊ณต์ ์ผ๋ก ์ฌํํ์๋ค. ์ด๋ก๋ถํฐ ELM ์ต์ ๋ RMP์ ์ํ ํ๋ฐ์คํ ๊ธฐ์ธ๊ธฐ์ ๊ฐ์๋ฟ๋ง ์๋๋ผ ELM๊ณผ RMP ๊ฐ์ ์ง์ ์ ์ธ ์ํธ์์ฉ์ ๊ธฐ์ธํ๋ ๊ฒ์ ๋ฐํ๋๋ค. ์ด๋ ์ํธ์์ฉ์ ํจ๊ณผ๋ 1) ํ๋ฐ์คํ ์์ญ์ ์์ฅ ์ฌ ํฌ๊ธฐ๋ฅผ ์ฆ๊ฐ์์ผ ์ถ๊ฐ์ ์ธ ํ๋ฐ์คํ ๊ธฐ์ธ๊ธฐ์ ๋ถ์์ ์ฑ ๋ฐ์ ์์๋ฅผ ์ค์ด๊ณ 2) ELM์ ๊ธ๊ฒฉํ ์ฆ๊ฐ์ ๋ถ๊ดด๋ฅผ ๋ฐฉ์งํ๋ ๋ถ์์ ์ฑ ๊ฐ์ ์๋์ง ์ด๋์ ์ฆ๊ฐ์ํค๋ ๊ฒ์ผ๋ก ํ์ธ๋์๋ค. ์ด์ ๊ฐ์ ํจ๊ณผ๋ก ์ธํด ELM์ ๋น์ ํ์ ์ผ๋ก ํฌํ ์ํ์ ๋๋ฌํ๊ฒ ๋๊ณ ์ง์ํด์ ์ต์ ๋ ์ ์๋ค. ์ถ๊ฐ๋ก ๋ณธ ์ฐ๊ตฌ๋ ELM ์ต์ ๋ฅผ ์ํด ํด๋น RMP-ELM ๊ฐ์ ์ํธ์์ฉ์ ๊ฐํํ๋ ํ๋ผ์ฆ๋ง ์กฐ๊ฑด์ ๋
ผ์ํ์๋ค.1 Introduction 1
1.1 Tokamak 2
1.2 Edge localized mode 4
1.3 RMP-driven ELM suppression 7
1.4 Objectives and outline of this dissertation 9
2 Development of advanced equilibrium tool in KSTAR 11
2.1 Obstacles in KSTAR EFIT reconstruction 13
2.2 Improvement of EFIT constraints 14
2.2.1 Numerical compensation 14
2.2.2 Theoretical compensation 16
2.3 Kinetic EFIT reconstruction in KSTAR 20
2.3.1 GEFIT toolkit 20
2.3.2 Reference equilibrium 21
3 RMP-driven Plasma response 25
3.1 Numerical analysis tools 26
3.1.1 JOREK 26
3.1.2 ERGOS 30
3.1.3 Numerical modeling of RMP 31
3.2 Plasma response 33
3.2.1 Kink response 33
3.2.2 Tearing response 36
3.3 Increased pedestal transport 39
3.3.1 Kink-tearing response driven transport 41
3.3.2 NTV-driven transport 42
3.3.3 Limitation of applied modeling 48
4 RMP-driven ELM crash suppression 51
4.1 Numerical setup for analysis 52
4.1.1 Natural ELM simulation 52
4.1.2 Numerical modeling of RMP and PBM 56
4.2 ELM crash suppression 58
4.2.1 PBM suppression 58
4.2.2 Change in divertor heat flux 60
4.3 RMP and PBM coupling 62
4.3.1 Effect on the pedestal transport 62
4.3.2 Effect on the spectral transfer 66
4.4 RMP-driven PBM locking 75
4.4.1 Enhanced mode coupling by PBM locking 77
5 Conclusions and future work 82
์ด๋ก 91Docto
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