Three-Dimensional Stochastic Modeling Using Sonar Sensing for Undersea Robotics

1996 ◽  
pp. 47-69
Author(s):  
W. Kenneth Stewart
Keyword(s):  
Stochastic Modeling ◽  
Three Dimensional

scholarly journals Three-dimensional stochastic modeling of radiation belts in adiabatic invariant coordinates

2014 ◽  
Vol 119 (9) ◽  
pp. 7615-7635 ◽  
Author(s):  
Liheng Zheng ◽  
Anthony A. Chan ◽  
Jay M. Albert ◽  
Scot R. Elkington ◽  
Josef Koller ◽  
...  
Keyword(s):  
Stochastic Modeling ◽  
Three Dimensional ◽  
Radiation Belts ◽  
Adiabatic Invariant

Blending Hierarchical Economic Decision Matrices (EDM) With FE and Stochastic Modeling: II — Detailing EDM

1996 ◽  
Author(s):  
J. N. Majerus ◽  
D. A. Tenney ◽  
M. L. Mimnagh ◽  
S. P. Lamphear ◽  
J. A. Jannone
Keyword(s):  
Boundary Conditions ◽  
Fatigue Fracture ◽  
Stochastic Modeling ◽  
Three Dimensional ◽  
Fe Analysis ◽  
Material Strength ◽  
Complete Reversal ◽  
D Model ◽  
Fine Tune ◽  
Maximum Stresses

Abstract The purpose of the Detailing EDM is to “fine-tune” a previously ameliorated design. First, in order to determine the best fillet radius for formability, forging simulations are conducted using commercial software. Once the fillet dimension is ascertained, the 3-D model is generated and maximum stresses determined for a trial force. Two different commercial programs were used to determine the three dimensional stresses. The only statistical quantities involve the loading (Gaussian distribution), the material “strength” in the Analytical Criteria for Failure (ACF), and possibly, the boundary conditions in the 3-D models. This paper considers the ACF to be the resistance to fatigue-fracture under complete reversal of loads at 5 × 108 cycles. The paper overviews three different methods of combining stochastic behaviour with FE analysis, and presents a methodology for using the interference-method with non-symmetrical distributions. The EDM are then presented for the three Product Criteria of forging — formability, Prime cost and 3-D reliability with respect to the selected ACF.

scholarly journals Random-walk-based stochastic modeling of three-dimensional fiber systems

2011 ◽  
Vol 83 (4) ◽  
Author(s):  
Hellen Altendorf ◽  
Dominique Jeulin
Keyword(s):  
Random Walk ◽  
Stochastic Modeling ◽  
Three Dimensional

3D Stochastic Modeling of Columnar-to-Equiaxed Transition During the Solidification of Alloy 718

2014 ◽  
Author(s):  
Laurentiu Nastac ◽  
Daojie Zhang
Keyword(s):  
Stochastic Modeling ◽  
3D Model ◽  
Three Dimensional ◽  
Alloy 718 ◽  
Solute Redistribution ◽  
Cpu Time ◽  
Growth Anisotropy ◽  
Columnar To Equiaxed Transition ◽  
2D And 3D ◽  
Liquid And Solid Phases

An efficient three-dimensional (3D) stochastic model for simulating the evolution of dendritic crystals during the solidification of alloys was developed. The model includes time-dependent computations for temperature distribution, solute redistribution in the liquid and solid phases, curvature, and growth anisotropy. The 3D model can run on PCs with reasonable amount of RAM and CPU time and therefore no parallel computations are needed. 3D mesoscopic computations at the dendrite tip length scale were performed in this study to simulate the formation of the columnar-to-equiaxed transition in alloy 718. Comparisons between microstructure predictions obtained via 2D and 3D stochastic modeling are also presented.

scholarly journals Exploration of Gibbs-Laguerre Tessellations for Three-Dimensional Stochastic Modeling

2020 ◽  
Author(s):  
F. Seitl ◽  
L. Petrich ◽  
J. Staněk ◽  
C. E. Krill ◽  
V. Schmidt ◽  
...  
Keyword(s):  
Stochastic Modeling ◽  
Three Dimensional

Oil-gas reservoir lithofacies stochastic modeling based on one- to three-dimensional Markov chains

2018 ◽  
Vol 25 (6) ◽  
pp. 1399-1408
Author(s):  
Zhi-zhong Wang ◽  
Xiang Huang ◽  
Yu-ru Liang
Keyword(s):  
Markov Chains ◽  
Stochastic Modeling ◽  
Three Dimensional ◽  
Gas Reservoir ◽  
Oil Gas
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