Distribution spatiale de la charge déposée dans des cibles minces irradiées par des électrons

1999 ◽  
Vol 77 (2) ◽  
pp. 127-136 ◽  
Author(s):  
F Alouani Bibi ◽  
V T Lazurik ◽  
Y V Rogov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Atomic Number ◽  
Model Parameters ◽  
Secondary Electrons ◽  
Fast Electrons ◽  
Distribution Spatiale ◽  
Deposition Density ◽  
Charge Deposition ◽  
Computation Codes

The study of the charge-deposition distribution due to secondary electrons in thin slabs irradiated by fast electrons is conducted. The slabs considered have thicknesses from 0.5 to 50 mg/cm2 and are made of materials with atomic numbers from 4 to 79. The energy of incident electrons is considered from 1 to 10 MeV. The data of charge-deposition density are obtained by using a new Monte Carlo method called the trajectory translation method. An analysis of charge-deposition distribution and its dependencies on the energy of incident electrons and on the atomic number of the slab material and its thickness has been made. Conclusions concerning these dependencies and recommendations for the choice of the model parameters of the standard computation codes are provided.

scholarly journals Hydrologic responses of the Zwalm catchment using the REW model: incorporating uncertainty of soil properties

2006 ◽  
Vol 3 (1) ◽  
pp. 69-114 ◽  
Author(s):  
A. El Ouazzani Taibi ◽  
G. P. Zhang ◽  
A. Elfeki
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Hydraulic Conductivity ◽  
Model Parameters ◽  
Watershed Model ◽  
The Monte Carlo Method ◽  
Physically Based ◽  
Hydrologic Responses ◽  
High Influence ◽  
Model Approach

Abstract. The research presented in this paper focuses on an application of a newly developed physically-based watershed model approach, which is called Representative Elementary Watershed (REW) approach. The study stressed the effects of uncertainty of input parameters on the watershed responses (i.e. simulated discharges). The approach was applied to the Zwalm catchment, which is an agriculture dominated watershed with a drainage area of 114.3 km2 located in East-Flanders, Belgium. Uncertainty analysis of the model parameters is limited to the saturated hydraulic conductivity because of its high influence on the watershed hydrologic behavior. The assessment of outputs uncertainty is performed using the Monte Carlo method. The ensemble statistical watershed responses and their uncertainties are calculated and compared with the measurements. The results show that the measured discharges are falling within the 95% confidence interval of the modeled discharge.

scholarly journals Contribution to numerical study of vehicle vertical stochastic vibration

2018 ◽  
Vol 157 ◽  
pp. 03015
Author(s):  
Alžbeta Sapietová ◽  
Milan Sága ◽  
Dana Stančeková ◽  
Milan Sapieta
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Computational Model ◽  
Numerical Study ◽  
Model Parameters ◽  
Vehicle Model ◽  
Stochastic Response ◽  
Simulation Techniques ◽  
Random Character ◽  
Kinematics Parameters

The goal of the paper is to present an application of the software MB_DYN inbuilt in MATLAB for stochastic response of the chosen vehicle computational model. The input kinematics parameters will be road irregularity with random character. The dynamic model parameters are considered as deterministic. The analysed vehicle model assumes 10 DOF. The stochastic response in time and frequency domain was solved by program MB_DYN in MATLAB using Monte Carlo method. Applying the simulation techniques the influence study of the vehicles speed and road quality in chosen points was realised.

Crack Growth Life Prediction Based on Monte-Carlo Method for High Cycle Fatigue Dynamic Component

2013 ◽  
Vol 681 ◽  
pp. 247-251
Author(s):  
Wen Lin Liu ◽  
Da Zhao Yu
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Reliability Analysis ◽  
Crack Growth ◽  
Structural Integrity ◽  
Hybrid Approach ◽  
Initial Crack ◽  
Model Parameters ◽  
Dynamic Component ◽  
Sensibility Analysis

The sensibility analysis of the factors to crack growth life has been done. The results show that the input parameters have the following precedence ordering: fatigue crack growth threshold, fracture spectrum, initial crack, fracture toughness, the sensibility values are 11.25, 8.5417, 0.8333, 0.1125, respectively. The model parameters have the following precedence ordering: n, p, C, q. the sensibility values are 6.0417, -3.9583, 1.25, 0.1812, respectively. The reliability analysis was conducted by Monte-Carlo method, the results show that the crack growth life accord with lognormal distribution. The lives with different reliability were obtained. The reliability analysis results of the crack growth life has provided the data for a hybrid approach based on a mixture of the traditional safe-life and damage tolerance techniques which were used as an optimal strategy for ensuring the helicopter structural integrity.

STUDY ON A UNIFIED MODEL OF DARK MATTER AND DARK ENERGY FROM DBI THEORY

2013 ◽  
Vol 22 (09) ◽  
pp. 1350059 ◽  
Author(s):  
JIANBO LU ◽  
LIXIN XU ◽  
YABO WU ◽  
MOLIN LIU ◽  
TIANQIANG LI
Keyword(s):  
Monte Carlo ◽  
Dark Matter ◽  
Markov Chain ◽  
Dark Energy ◽  
Monte Carlo Method ◽  
Hubble Constant ◽  
Unified Model ◽  
Accelerating Universe ◽  
Model Parameters ◽  
Geometrical Quantity

In this paper, we study a unified model of dark matter and dark energy obtained from Dirac–Born–Infeld (DBI) action in string theory. Two accelerated expansions in universe can be unified in this action. By using the Markov Chain Monte Carlo method, we fit the current observational data to constrain the model parameters in this unified model, where various density parameters as model parameters are included, and their constraint values are: [Formula: see text], [Formula: see text], [Formula: see text] and [Formula: see text]. In addition, the Hubble constant and cosmic age are [Formula: see text] and [Formula: see text] (Gyr), respectively. According to the constraint results on model parameters we discuss the evolutions of some cosmological quantities in structure formation, such as the density contrast and the growth variable. At last, the evolution of geometrical quantity is studied to distinguish the unified models of dark sectors with the cosmological constant model. It is shown that this unified model of dark matter and dark energy is attractive to interpret the accelerating universe.

Sign in / Sign up

Export Citation Format

Share Document