Results 241 to 250 of about 4,654,918 (291)
Numerical simulation of horizontal displacement at the top of support piles for ultra-deep foundation pits in silty formations. [PDF]
Sci RepLiu S, Gao S, Sun K.
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Numerical Simulation and Borehole Azimuthal Acoustic Imaging of Near-Borehole Caves in Formations with Axially Non-Uniform Wave Velocities. [PDF]
Sensors (Basel)Yang B +5 more
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Direct numerical simulation of three-dimensional Kolmogorov flow for turbulence model development. [PDF]
Sci DataAndrea Kovács K, Balogh M, Kristóf G.
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Experimental and numerical simulation assessment of fracture evolution and tensile strength recovery in Grout-reinforced fractured surrounding rocks. [PDF]
Sci RepKolawole O, Sonibare MO, Olorode O.
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NUMERICAL SIMULATION OF POLYMER CRYSTALLIZATION
Mathematical Models and Methods in Applied Sciences, 1994We consider a mathematical model for solidification of semicrystalline polymers, describing the evolution of temperature, crystalline volume fraction, number and average size of crystals. In turn, the model couples a suitable kinetics of nonisothermal crystallization, taking into account both formation and growth of nuclei, with the thermal energy ...
ANDREUCCI, Daniele +4 more
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Proceedings of the 7th conference on Winter simulation - WSC '74, 1974
This paper introduces the concept of non-numeric simulation, a viewpoint which emphasizes the simulation possibilities among parameters associated relationally rather than numerically. One purpose of non-numeric simulation is presented as a means of evaluation of theoretical frameworks or systems of axioms that a researcher may be considering.
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This paper introduces the concept of non-numeric simulation, a viewpoint which emphasizes the simulation possibilities among parameters associated relationally rather than numerically. One purpose of non-numeric simulation is presented as a means of evaluation of theoretical frameworks or systems of axioms that a researcher may be considering.
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Fundamentals of Numerical Simulation
2016In this chapter we discuss the prerequisites that are necessary to understand how problems in the natural sciences are formulated using (differential) equations and how to solve them numerically. For this, we discuss the basics of ordinary and partial differential equations in Sect. 4.1.
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2022
With the ever increasing computational power and the relatively easy access to parallel computing architectures that reduce computational processing times to a fraction of what it took to run in older computers, numerical simulations of physical processes are being able to model significantly more complex physical phenomena.
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With the ever increasing computational power and the relatively easy access to parallel computing architectures that reduce computational processing times to a fraction of what it took to run in older computers, numerical simulations of physical processes are being able to model significantly more complex physical phenomena.
openaire +1 more source