Sensitivity Analysis for Release and Transport Behavior of Radionuclide of the 1F Unit-1 Accident Using SAMPSON

2020 ◽  
Author(s):  
Chiaki Kino ◽  
Hidetoshi Karasawa ◽  
Shunsuke Uchida
Keyword(s):  
Sensitivity Analysis ◽  
Hydrogen Iodide ◽  
Fuel Pellet ◽  
Chemical Forms ◽  
Deposition Velocities ◽  
Radionuclide Distribution ◽  
Simulation Results ◽  
Release Model ◽  
Present Simulation ◽  
Reactor Pressure

Abstract To support the 1F decommissioning project, the Institute of Applied Energy has been analyzing the course of the accident using the SAMPSON code with an aim to grasp radionuclide distribution in 1F NPP. The present study has mainly focused on molybdenum release from a fuel pellet and chemical forms of iodine during the early phase of the accident because a release rate of semi-volatile FPs has various uncertainties. The present simulation set the detrimental factor of molybdenum used in FP release model as a sensitive parameter. The simulation results indicate that more molybdenum release causes more generation of hydrogen iodide and more deposition of iodine inside Reactor Pressure Vessel (RPV) because the adsorption velocity of hydrogen iodide is comparatively higher than deposition velocities of another FPs.

The Ship Track Keeping With Roll Reduction Using a Multiple-States PD Controller on the Rudder Operation

2008 ◽  
Vol 45 (01) ◽  
pp. 21-27
Author(s):  
Ming-Chung Fang ◽  
Jhih-Hong Luo
Keyword(s):  
Numerical Model ◽  
Line Of Sight ◽  
Pd Controller ◽  
Input Multiple Output ◽  
Maneuvering In Waves ◽  
Single Input ◽  
Reduction Function ◽  
Simulation Results ◽  
Guidance Technique ◽  
Present Simulation

The paper presents a nonlinear hydrodynamic numerical model with multiple-states proportional-derivative (PD) controllers for simulating the ship's tracking in random sea. By way of the rudder operation, the track-keeping ability of the PD controller on the ship is examined using the line-of-sight (LOS) guidance technique. Furthermore, the roll-reduction function using the rudder control is also included in the PD controller. From the present simulation results, the single-input multiple-output (SIMO) heading/roll PD controller including LOS technique developed here indeed works, either for the roll reduction or for track keeping while the ship is maneuvering in waves.

scholarly journals Sensitivity Analysis of Johnson-Cook Material Constants and Friction Coefficient Influence on Finite Element Simulation of Turning Inconel 718

Materials ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3121 ◽  
Author(s):  
Xiaoli Qiu ◽  
Xianqiang Cheng ◽  
Penghao Dong ◽  
Huachen Peng ◽  
Yan Xing ◽  
...  
Keyword(s):  
Residual Stress ◽  
Sensitivity Analysis ◽  
Finite Element ◽  
Friction Coefficient ◽  
Constitutive Model ◽  
Cutting Force ◽  
Inconel 718 ◽  
Coulomb Friction ◽  
Cutting Conditions ◽  
Simulation Results

The Johnson-Cook (J-C) constitutive model, including five material constants (A, B, n, C, m), and the Coulomb friction coefficient (μ) are critical preprocessed data in machining simulations. Before they become reliable preprocessed data, investigating these parameters’ effect on simulation results benefits parameter-selecting. This paper aims to investigate the different influence of five settings of the J-C constitutive equation and Coulomb friction coefficient on the turning simulation results of Inconel 718 under low-high cutting conditions, including residual stress, chip morphology, cutting force and temperature. A three-dimensional (3-D) finite element model was built, meanwhile, the reliability of the model was verified by comparing the experiment with the simulation. Sensitivity analysis of J-C parameters and friction coefficient on simulation results at low-high cutting conditions was carried out by the hybrid orthogonal test. The results demonstrate that the simulation accuracy of Inconel 718 is more susceptible to strain hardening and thermal softening in the J-C constitutive model. The friction coefficient only has significant effects on axial and radial forces in the high cutting condition. The influences of the coefficient A, n, and m on the residual stress, chip thickness, cutting force and temperature are especially significant. As the cutting parameters increase, the effect of the three coefficients will change visibly. This paper provides direction for controlling simulation results through the adjustment of the J-C constitutive model of Inconel 718 and the friction coefficient.

Predicting formulae for effective length of counterpoise wires buried in ionized, dispersive and inhomogeneous soils

2020 ◽  
Vol 39 (6) ◽  
pp. 1375-1391
Author(s):  
Seyyed Sajjad Sajjadi ◽  
Saeed Reza Ostadzadeh
Keyword(s):  
Sensitivity Analysis ◽  
Transmission Line ◽  
Design Methodology ◽  
Effective Length ◽  
Transmission Line Model ◽  
Line Model ◽  
Content Type ◽  
Dispersion Effects ◽  
Simulation Results

Purpose The purpose of this paper is to investigate the ionization and dispersion effects in combination with the inhomogeneity of soil simultaneously on the effective lengths of counterpoise wires. Design/methodology/approach Improved multi-conductor transmission line model is used for computing effective length of counterpoise wires considering all aspects of soils. Findings The simulation results show that the ionization and dispersion effects simultaneously results in placing the effective length between situations where only one effect is considered. Also, predicting formulae for effective length of counterpoise wires considering all effects are proposed. Originality/value A sensitivity analysis on the effective lengths of counterpoise wires considering all aspects of soils is carried out.

Risk Management of Construction Schedule by PERT with Monte Carlo Simulation

2014 ◽  
Vol 548-549 ◽  
pp. 1646-1650 ◽  
Author(s):  
Yang Liu ◽  
Yan Li
Keyword(s):  
Sensitivity Analysis ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Critical Path ◽  
Total Duration ◽  
Control Points ◽  
Schedule Management ◽  
Simulation Results ◽  
Critical Paths ◽  
Construction Schedule

It has been proved that the construction schedule management was an uncertain problem. Traditional CPM method was a good way to define the total duration and critical paths but can not solve uncertainty. The paper use CPM to define the duration and critical path firstly, then defined the parameters with Delphi and make Monte Carlo simulation. Through simulation results, it is found that the probability to finish the work on time was only 35.3%. The following step is to make sensitivity analysis, through the calculation, the work which has large influence was found and treat as key control points. It is proved that Monte Carlo simulation is useful to solve the problem of construction schedule management.

Idle Users Management for Improved BitTorrent Performance

2010 ◽  
Vol 439-440 ◽  
pp. 859-864
Author(s):  
Ming Zhang ◽  
Jin Qiu Yang
Keyword(s):  
Content Delivery ◽  
The Internet ◽  
Huge Amount ◽  
The Past ◽  
Internet Users ◽  
Communication Paradigm ◽  
Bittorrent Protocol ◽  
Simulation Results ◽  
Present Simulation ◽  
Steady State Performance

In the past few years, there have been tremendous interest in the peer-to-peer(P2P) content delivery. This communication paradigm dramatically increases the traffic over inter-ISP links. In particular, BitTorrent(BT), the most popular P2P application, generates a huge amount of traffic on the Internet. BitTorrent’s performance is limited by the fact that typical internet users have much lower upload bandwidths than download bandwidths. This results in the overall average download speed of a BitTorrent-like file download system to be bottle-necked by the much lower upload capacity. We think about to utilize idle users’ spare upload capacity to largely improve the download speed beyond what can be achieved in a conventional BitTorrent network. In this paper, we design a system that is completely compatible with the already existing clients who conform to the BitTorrent protocol, at the same time, we analyze this system’s steady-state performance and present simulation results.

SPICESoft: AUTOMATED TOOL FOR SENSITIVITY ANALYSIS, PERFORMANCE ANALYSIS, AND INVERSE PERFORMANCE ANALYSIS OF DIGITAL CIRCUITS

2008 ◽  
Vol 17 (02) ◽  
pp. 221-238
Author(s):  
K. S. YEO ◽  
Z. H. KONG
Keyword(s):  
Sensitivity Analysis ◽  
Performance Analysis ◽  
Digital Circuits ◽  
Circuit Analysis ◽  
Analysis Tool ◽  
Circuit Performance ◽  
Simulation Results ◽  
Differential Expansion ◽  
The Relationship ◽  
Automated Tool

An automated circuit analysis tool called SPICESoft, the main objective of which is to help designers in sensitivity computation and circuit analysis is presented. Three main features of SPICESoft are described, namely Sensitivity Analysis, Circuit Performance Analysis, and Inverse Circuit Performance Analysis. A new methodology called Binary Differential Expansion used for data interpolation is also described in this paper. The relationship between device and process parameters is covered. The simulation results obtained using the proposed automated tool are compared with those of conventional computation.

EFFECTIVE DATA DISSEMINATION FOR INFORMATION SHARING BASED ON INTER-VEHICLE COMMUNICATION

2007 ◽  
Vol 08 (04) ◽  
pp. 337-354 ◽  
Author(s):  
HIROYUKI SAGO ◽  
MASAKO SHINOHARA ◽  
TAKAHIRO HARA ◽  
SHOJIRO NISHIO
Keyword(s):  
Information Sharing ◽  
Data Dissemination ◽  
Data Availability ◽  
Intelligent Transport System ◽  
Intelligent Transport ◽  
Vehicle Communication ◽  
Route Information ◽  
Simulation Results ◽  
Near Future ◽  
Present Simulation

In an Intelligent Transport System (ITS), information sharing based on inter-vehicle communication is effective for improving data availability. In this paper, we propose a data dissemination method for sharing data items among vehicles, which increases the opportunity for vehicles to acquire more fresh data items that users request. In our proposed method, vehicles are grouped according to their locations, and movement directions that are estimated from their route information. Then, data items that are more likely to be accessed in the near future are disseminated between two groups. We also present simulation results to evaluate the performance of our proposed method.

scholarly journals Approximate Image Reconstruction in Landscape Reflection Imaging

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Rémi Régnier ◽  
Gaël Rigaud ◽  
Maï K. Nguyen
Keyword(s):  
Inverse Problem ◽  
Image Reconstruction ◽  
Inversion Formula ◽  
Imaging Modality ◽  
Reconstruction Algorithm ◽  
Reflectivity Function ◽  
Reconstruction Kernel ◽  
Simulation Results ◽  
Reflection Imaging ◽  
Present Simulation

Simple reflection imaging of landscape (scenery or extended objects) poses the inverse problem of reconstructing the landscape reflectivity function from its integrals on some particular family of spheres. Such data acquisition is encoded in the framework of a Radon transform on this family of spheres. In spite of the existence of an exact inversion formula, the numerical landscape reflectivity function reconstitution is best obtained with an approximate but judiciously chosen reconstruction kernel. We describe the working of this reflection imaging modality and its theoretical handling, introduce an efficient and stable image reconstruction algorithm, and present simulation results to prove the validity of this choice as well as to demonstrate the feasibility of this imaging process.

scholarly journals Vaccinations or Non-Pharmaceutical Interventions:Safe Reopening of Schools in England

2021 ◽  
Author(s):  
Carolina Cuesta-Lazaro ◽  
Arnau Quera-Bofarull ◽  
Joseph Aylett-Bullock ◽  
Bryan N. Lawrence ◽  
Kevin Fong ◽  
...  
Keyword(s):  
Real World ◽  
Positive Impact ◽  
Adult Population ◽  
Vaccination Campaign ◽  
Age Group ◽  
School Based ◽  
Simulation Results ◽  
The Individual ◽  
Present Simulation ◽  
Pharmaceutical Interventions

With high levels of the Delta variant of COVID-19 circulating in England during September 2021, schools are set to reopen with few school-based non-pharmaceutical interventions (NPIs). In this paper, we present simulation results obtained from the individual-based model, JUNE, for school opening after a prior vaccination campaign using an optimistic set of assumptions about vaccine efficacy and the likelihood of prior-reinfection. We take a scenario-based approach to modelling potential interventions to assess relative changes rather than real-world forecasts. Specifically, we assess the effects of vaccinating those aged 16-17, those aged 12-17, and not vaccinating children at all relative to only vaccinating the adult population. Vaccinating children in the 12-15 age group would have had a significant impact on the course of the epidemic, saving thousands of lives overall in these simulations. In the absence of such a vaccination campaign our simulations show there could still be a significant positive impact on the epidemic (fewer cases, fewer deaths) by continuing NPI strategies in schools. Our analysis suggests that the best results are likely derived from a combination of vaccinations and NPIs.

scholarly journals The case of muddled units in temporal discounting

2018 ◽  
Author(s):  
Benjamin Thomas Vincent ◽  
Neil Stewart
Keyword(s):  
Delay Discounting ◽  
Power Law ◽  
Temporal Discounting ◽  
Hyperbolic Discounting ◽  
Cognitive Models ◽  
Units Of Measurement ◽  
The Future ◽  
Simulation Results ◽  
Present Simulation

While parameters are crucial components of cognitive models, relatively little importance has been given to their units. We show that this has lead to some parameters to be contaminated, introducing an artifactual correlation between them. We also show that this has led to the illegal comparison of parameters with different units of measurement – this may invalidate parameter comparisons across partic- ipants, conditions, groups, or studies. We demonstrate that this problem affects two related models: Stevens’ Power Law and Rachlin’s delay discounting model. We show that it may even affect models which superficially avoid the incompatible units problem, such as hyperbolic discounting. We present simulation results to demonstrate the extent of the issues caused by the muddled units problem. We offer solutions in order to avoid the problem in the future or to aid in re-interpreting existing datasets.

Sign in / Sign up

Export Citation Format

Share Document