Use of the Monte Carlo method for determining the nonequilibrium energy distribution in the translational degrees of freedom in a one-component reacting system

1972 ◽  
Vol 6 (2) ◽  
pp. 168-173 ◽  
Author(s):  
S. N. Lebedev ◽  
Yu. G. Malama ◽  
A. I. Osipov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Energy Distribution ◽  
Degrees Of Freedom ◽  
The Monte Carlo Method ◽  
Nonequilibrium Energy

scholarly journals Пределы "физической детонации" при течении предварительно колебательно-возбужденного водорода в ударной трубе

2020 ◽  
Vol 90 (7) ◽  
pp. 1055
Author(s):  
С.В. Куликов ◽  
Н.А. Червонная ◽  
О.Н. Терновая
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Numerical Experiment ◽  
Degrees Of Freedom ◽  
Statistical Simulation ◽  
Vibrationally Excited ◽  
Hydrogen Molecules ◽  
The Monte Carlo Method ◽  
Physical Energy ◽  
Internal Degrees Of Freedom

Physical detonation" - - - is a phenomenon when the detonation is caused not by chemical, but by physical energy focused on internal degrees of freedom, in this case on the vibrational degrees of freedom of hydrogen molecules. The Monte-Carlo method of non-stationary statistical simulation has been used to study the possibility of this phenomenon for pre-vibrationally excited hydrogen to a certain temperature in a shock tube. The boundary of this temperature above which "physical detonation" takes place in the numerical experiment is determined.

UGR CALCULATION BASED ON THE LUMINANCE SPATIAL-ANGULAR DISTRIBUTION

2020 ◽  
Vol 2020 (4) ◽  
pp. 25-32
Author(s):  
Viktor Zheltov ◽  
Viktor Chembaev
Keyword(s):  
Monte Carlo ◽  
Angular Distribution ◽  
Monte Carlo Method ◽  
Visual Task ◽  
New Method ◽  
Lighting System ◽  
Preliminary Assessment ◽  
System A ◽  
The Monte Carlo Method

The article has considered the calculation of the unified glare rating (UGR) based on the luminance spatial-angular distribution (LSAD). The method of local estimations of the Monte Carlo method is proposed as a method for modeling LSAD. On the basis of LSAD, it becomes possible to evaluate the quality of lighting by many criteria, including the generally accepted UGR. UGR allows preliminary assessment of the level of comfort for performing a visual task in a lighting system. A new method of "pixel-by-pixel" calculation of UGR based on LSAD is proposed.

PSHA software review based on the Monte Carlo method

2020 ◽  
pp. 14-24
Author(s):  
V.A. Mironov ◽  
S.A. Peretokin ◽  
K.V. Simonov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Seismic Hazard ◽  
Hazard Analysis ◽  
Software Review ◽  
Seismic Hazard Analysis ◽  
Probabilistic Seismic Hazard ◽  
Test Calculation ◽  
Seismic Surveys ◽  
The Monte Carlo Method

The article is a continuation of the software research to perform probabilistic seismic hazard analysis (PSHA) as one of the main stages in engineering seismic surveys. The article provides an overview of modern software for PSHA based on the Monte Carlo method, describes in detail the work of foreign programs OpenQuake Engine and EqHaz. A test calculation of seismic hazard was carried out to compare the functionality of domestic and foreign software.

Application of the Monte Carlo Method for the Prediction of Behavior of Peptides

2019 ◽  
Vol 20 (12) ◽  
pp. 1151-1157 ◽  
Author(s):  
Alla P. Toropova ◽  
Andrey A. Toropov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Natural Sciences ◽  
Monte Carlo Technique ◽  
Quantitative Structure ◽  
Structure Property ◽  
The Monte Carlo Method ◽  
Modern Natural

Prediction of physicochemical and biochemical behavior of peptides is an important and attractive task of the modern natural sciences, since these substances have a key role in life processes. The Monte Carlo technique is a possible way to solve the above task. The Monte Carlo method is a tool with different applications relative to the study of peptides: (i) analysis of the 3D configurations (conformers); (ii) establishment of quantitative structure – property / activity relationships (QSPRs/QSARs); and (iii) development of databases on the biopolymers. Current ideas related to application of the Monte Carlo technique for studying peptides and biopolymers have been discussed in this review.

Modeling grain growth by the monte carlo method on isotropic grids

1999 ◽  
Vol 72 (1) ◽  
pp. 68-72
Author(s):  
M. Yu. Al’es ◽  
A. I. Varnavskii ◽  
S. P. Kopysov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Grain Growth ◽  
The Monte Carlo Method
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