fluid Flow in Micron and Submicron Size Channels
標(biāo)簽： Submicron Channels Micron fluid
上傳時(shí)間： 2017-09-09
上傳用戶：edisonfather
fluid catalytic cracking of petroleum fraction (vacuum gas oil) to produce gasoline
標(biāo)簽： 石油
上傳時(shí)間： 2022-01-14
上傳用戶：
國(guó)外游戲開(kāi)發(fā)者雜志2000年第八期配套代碼，包括Brian Sharp的implicit-surface fluid的例子代碼，例子中使用了Lander的動(dòng)畫庫(kù)
標(biāo)簽： 2000 開(kāi)發(fā)者 代碼
上傳時(shí)間： 2015-01-05
上傳用戶：wsf950131
OFELI is an object oriented library of C++ classes for development of finite element codes. Its main features are : * Various storage schemes of matrices (dense, sparse, skyline). * Direct methods of solution of linear systems of equations as well as various combinations of iterative solvers and preconditioners. * Shape functions of most "popular" finite elements * Element arrays of most popular problems (Heat Transfer, fluid Flow, Solid Mechanics, Electromagnetics, ...).
標(biāo)簽： development oriented classes element
上傳時(shí)間： 2015-03-03
上傳用戶：kbnswdifs
These Simulink blocks contain transfer functions that model the pressure and flow transients for axisymmetric 2D viscous flow of a compressible fluid in a straight rigid circular cross section pipelines. Three models are available: (1) pressures at the ends (2) flow rates at the ends (3) pressure at one end and flow rate at the other Filtering is incorporated to reduce numerical oscillation (Gibbs phenomenon). See J. Dyn. Systems, Meas. & Control vol 122 (2000) pp. 153-162.
標(biāo)簽： transients functions Simulink transfer
上傳時(shí)間： 2014-01-22
上傳用戶：Shaikh
orumThemes.com - Breezet vBulletin Theme www.forumthemes.com ForumThemes.com would like to thank you for purchasing one of our themes. If at anytime you have any problems with installation please visit our forums at www.forumthemes.com/forums. Included - fluid XML files - Custom Java Script for drop downs (clientscript) (All it does is remove the little white arrows in the drop downs)
標(biāo)簽： com ForumThemes forumthemes orumThemes
上傳時(shí)間： 2017-04-06
上傳用戶：q123321
Stanford的SRB實(shí)驗(yàn)室Quantitative Seismic Interpretation的免費(fèi)MATLAB程序，可以計(jì)算AVO response, rock property, Gassmann s equation, fluid property, Elastic impedance等，非常實(shí)用和方便
標(biāo)簽： Interpretation Quantitative Stanford Seismic
上傳時(shí)間： 2017-09-08
上傳用戶：wweqas
Computational fluid Dynamics_ Principles and Applications
標(biāo)簽： CFD
上傳時(shí)間： 2016-04-06
上傳用戶：12345678999
Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute most to the variance of the outputs. A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized methods and meta-algorithms
標(biāo)簽： Optimization and Uncertainty Quantification
上傳時(shí)間： 2016-04-08
上傳用戶：huhu123456
Control systems are used to regulate an enormous variety of machines, products, and processes. They control quantities such as motion, temperature, heat flow, fluid flow, fluid pressure, tension, voltage, and current. Most concepts in control theory are based on having sensors to measure the quantity under control. In fact, control theory is often taught assuming the availability of near-perfect feedback signals. Unfortunately, such an assumption is often invalid. Physical sensors have shortcomings that can degrade a control system.
標(biāo)簽： Observers Control Systems in
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
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