New Approach to Make Cylindrical Packaging Products in Rotation Around Their Fixed Axis During Irradiation in the Monte Carlo Simulation

2020 ◽  
Vol 75 (5) ◽  
pp. 447-450
Author(s):  
A. Aknouch ◽  
Y. Elouardi ◽  
M. Mouhib ◽  
R. Sebihi ◽  
A. Didi ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
New Approach ◽  
Fixed Axis

New approach to Monte Carlo simulation of photon transport in the frequency domain

1995 ◽  
Author(s):  
Ilya V. Yaroslavsky ◽  
Anna N. Yaroslavsky ◽  
Hans-Joachim Schwarzmaier ◽  
Garif G. Akchurin ◽  
Valery V. Tuchin
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Frequency Domain ◽  
New Approach ◽  
Photon Transport

Efficient Gradient-Based Tolerance Optimization Using Monte Carlo Simulation

2009 ◽  
Vol 131 (3) ◽  
Author(s):  
R. Alan Bowman
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Manufacturing Cost ◽  
Optimization Approach ◽  
Functional Requirements ◽  
Mechanical Assembly ◽  
New Approach ◽  
Tolerance Optimization ◽  
Gradient Based ◽  
Derivatives Of

A gradient-based optimization approach is employed to select design tolerances for the component dimensions of a mechanical assembly to minimize manufacturing cost while achieving a desired probability of meeting functional requirements, known as the yield. Key to the feasibility of such an approach is to be able to use Monte Carlo simulation to make estimates of the derivatives of the yield with respect to the design tolerances quickly and accurately. A new approach for making these estimates is presented and is shown to be far faster and more accurate than previous approaches. Gradient-based optimization using the new approach for estimating the derivatives is applied to example problems from the literature. The solutions are superior to all previously published solutions and are obtained with very reasonable computer run times. Additional advantages of a gradient-based approach are described.

A New Approach for Alpha Radiography by Triple THGEM using Monte Carlo Simulation and Measurement

2018 ◽  
Vol 13 (05) ◽  
pp. P05024-P05024
Author(s):  
S. Khezripour ◽  
A. Negarestani ◽  
M.R. Rezaie
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
New Approach

scholarly journals Debris Flow Risk Assessment Method Based on Combination Weight of Probability Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Li Li ◽  
Shi Xin Zhang ◽  
Shao Hong Li ◽  
Yue Qiang ◽  
Zhou Zheng ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Debris Flow ◽  
Specific Weight ◽  
Assessment Method ◽  
Entropy Method ◽  
Equal Weight ◽  
Uniform Random Variable ◽  
New Approach

Risk assessment of debris flow is conducted by multicriteria decisions. Based on the shortcomings of the existing methods in determining the weight of assessment factors, this paper proposes a new approach to conduct a risk assessment of debris flow. This new approach regards the weight of factors as a uniform random variable, whose bounds could be determined by the equal weight method, maximal deviation method, and entropy method. The results of this new approach are obtained by Monte Carlo simulation. According to the risk of 72 debris flows collected in Beichuan, Sichuan, China, this new approach proves convergent. It is suggested that the minimum sample amount of Monte Carlo simulation should be 63095. The result also demonstrates that sorted results with different weights of factors vary a lot, so it is not convincing to sort samples with a specific weight.

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