Stochastic dynamic load-sharing analysis of the closed differential planetary transmission gear system by the Monte Carlo method

2021 ◽  
Vol 165 ◽  
pp. 104420
Author(s):  
Congfang Hu ◽  
Gaode Geng ◽  
Pol D. Spanos
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Dynamic Load ◽  
Load Sharing ◽  
Gear System ◽  
Stochastic Dynamic ◽  
The Monte Carlo Method ◽  
Planetary Transmission ◽  
Dynamic Load Sharing ◽  
Transmission Gear

scholarly journals Research on Dynamic Load-Sharing Characteristics of Two-Stage Asymmetric Star Gear System

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 126799-126811 ◽  
Author(s):  
Mo Shuai ◽  
Ma Shuai ◽  
Jin Guo Guang ◽  
Yue Zong Xiang
Keyword(s):  
Dynamic Load ◽  
Load Sharing ◽  
Gear System ◽  
Two Stage ◽  
Dynamic Load Sharing

Dynamic Load Sharing Characteristic of Planetary Gear System with Load Balancing Mechanism

2010 ◽  
Vol 97-101 ◽  
pp. 3504-3508
Author(s):  
Jian Xing Zhou ◽  
Geng Liu ◽  
Shang Jun Ma
Keyword(s):  
Load Balancing ◽  
Dynamic Load ◽  
Time History ◽  
Planetary Gear ◽  
Load Sharing ◽  
Differential Method ◽  
Gear System ◽  
Nonlinear Dynamic Model ◽  
Planetary Gear System ◽  
Dynamic Load Sharing

The dynamic load sharing characteristic of the 2K-H-type planetary gear system with floating center gear is researched in consideration of the manufacturing errors, assembly errors, time-varying mesh stiffness. The nonlinear dynamic model is set up and solved by using Newmark’s method. Then the time history of load sharing factor of the system with load balancing mechanism are obtained, and the effects of the floating clearance， the load torque, and the way of planetary gears assembled on load sharing factor are researched. The sensitivity analysis of load sharing factor is done by using finite differential method. The study provides useful theoretical guideline to the design of planetary gear system.

SIMULATION OF TURBULENT REACTIVE FLOW BY THE LARGE EDDY SIMULATION METHOD COMBINED WITH THE MONTE-CARLO METHOD FOR CALCULATING SUBGRID STRESSES

2018 ◽  
Vol 11 (2) ◽  
pp. 66-75
Author(s):  
R. R. Tukhvatullina ◽  
◽  
V. S. Ivanov ◽  
S. M. Frolov ◽  
B. Basara ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Large Eddy Simulation ◽  
Simulation Method ◽  
Reactive Flow ◽  
Eddy Simulation ◽  
The Monte Carlo Method ◽  
Large Eddy ◽  
Subgrid Stresses

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.

Evaluation of passenger waiting time in public transport by using the Monte Carlo method

2021 ◽  
Author(s):  
Velizara Pencheva ◽  
Ivan Georgiev ◽  
Asen Asenov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Waiting Time ◽  
Public Transport ◽  
The Monte Carlo Method

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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