scholarly journals Optimization design of the stick of an excavator under uncertain loading (in the conditions of the Syrian Arab Republic)

2021 ◽  
Vol 341 ◽  
pp. 00014
Author(s):  
Jalal Mohammad ◽  
Irina Odinokova ◽  
Vitaly Gaevskiy ◽  
Evgeni Nosko
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Optimization Design ◽  
Hydraulic Excavator ◽  
Original Design ◽  
Lower Stress ◽  
Interaction Models ◽  
The Monte Carlo Method ◽  
Syrian Arab Republic

The article is devoted to the optimization design of the stick of a hydraulic excavator at the most frequent and greatest value loads. The uncertain loads acting on the working equipment of the excavator were obtained by the Monte Carlo method based on 3D analytical soil-tool interaction models. The results show that the adopted methodology can be used to optimize the design of elements of the excavator working equipment, since the design of stick was obtained with less weight and lower stress values than the original design.

Exit Condition for Probabilistic Assessment Using Monte Carlo Method

2010 ◽  
Vol 10 (1) ◽  
pp. 1-9
Author(s):  
Jakub Valihrach ◽  
Petr Konečný
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Optimization Design ◽  
Random Variable ◽  
Probability Of Failure ◽  
Probabilistic Assessment ◽  
Theoretical Derivation ◽  
The Monte Carlo Method ◽  
The Relationship

Exit Condition for Probabilistic Assessment Using Monte Carlo Method This paper introduces a condition used to exit a probabilistic assessment using the Monte Carlo simulation, and to evaluate it with regard to the relationship between the computed estimate of the probability of failure and the target design probability. The estimation of probability of failure is treated as a random variable, considering its variance that is dependent on the number of performed Monte Carlo simulation steps. After theoretical derivation of the decision condition, it is tested numerically with regard to its accuracy and computational efficiency. The condition is suitable for optimization design using the Monte Carlo method.

Optimal Design and Simulation on the Major Linkage Parameters of a Harvesting Manipulator

2010 ◽  
Vol 44-47 ◽  
pp. 651-655
Author(s):  
Yu Jie Cui ◽  
Jian Ning Hua ◽  
Pu Shi
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Optimal Design ◽  
Optimization Design ◽  
Robotic Manipulators ◽  
The Monte Carlo Method ◽  
Simulation Results ◽  
Optimization Methodology

A general optimization methodology for the optimal design of robotic manipulators is presented and illustrated by its application to a harvesting manipulator. The optimization design of the manipulator framework and structure is made according to the tomato' s growth circumstance and distribution space.The workspace of the manipulator is carried out and simulated through the Monte Carlo method. Simulation results show that the manipulator with 4 degree- of- freedoms meets the expectations for picking tomato in greenhouse. The rationality of the structure and frame is validated.

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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