A study of the step-flow growth of the PVT-grown AlN crystals by a multi-scale modeling method

A multi-scale modeling method based on big data was proposed to establish neural network models for complex plant. Wavelet transform was used to decompose input and output parameters into different scales. The relationship between these parameters were researched in every scale. Then models in each scale were established and added together to form a multi-scale model. A model of coal mill current in power plant was established using the multi-scale modeling method based on big data. The result shows that, the method is effective.

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A novel synergistic multi-scale modeling framework to predict micro- and meso-scale damage behaviors of 2D triaxially braided composite

International Journal of Damage Mechanics ◽

10.1177/10567895211033974 ◽

2021 ◽

pp. 105678952110339

Author(s):

Hongyong Jiang ◽

Yiru Ren ◽

Qiduo Jin

Keyword(s):

Compressive Load ◽

Scale Model ◽

Modeling Framework ◽

Braided Composite ◽

Multi Scale ◽

Scale Modeling ◽

Bridge Model ◽

Multi Scale Modeling ◽

Transverse Damage ◽

Meso Scale

A novel synergistic multi-scale modeling framework with a coupling of micro- and meso-scale is proposed to predict damage behaviors of 2D-triaxially braided composite (2DTBC). Based on the Bridge model, the internal stress and micro damage of constituent materials are respectively coupled with the stress and damage of tow. The initial effective elastic properties of tow (IEEP) used as the predefined data are estimated by micro-mechanics models. Due to in-situ effects, stress concentration factor (SCF) is considered in the micro matrix, exhibiting progressive damage accumulation. Comparisons of IEEP and strengths between the Bridge and Chamis’ theory are conducted to validate the values of IEEP and SCF. Based on the representative volume element (RVE), the macro properties and damage modes of 2DTBC are predicted to be consistent with available experiments and meso-scale simulation. Both axial and transverse damage mechanisms of 2DTBC under tensile or compressive load are revealed. Micro fiber and matrix damage accumulations have significant effects on the meso-scale axial and transverse damage of tows due to multi-scale coupling effects. Different from existing meso-/multi-scale models, the proposed multi-scale model can capture a crucial phenomenon that the transverse damage of tow is vulnerable to micro fiber fracture. The proposed multi-scale framework provides a robust tool for future systematic studies on constituent materials level to larger-scale aeronautical materials.

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Multi-scale modeling method of wireless power transfer systems

2016 Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC) ◽

10.1109/apemc.2016.7522838 ◽

2016 ◽

Author(s):

ChunSen Tang ◽

Hao Shen

Keyword(s):

Wireless Power Transfer ◽

Modeling Method ◽

Power Transfer ◽

Wireless Power ◽

Multi Scale ◽

Scale Modeling ◽

Multi Scale Modeling

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A Multi-Scale Modeling Concept and Computational Tools for the Integrative Analysis of Stationary Metabolic Data

Journal of Integrative Bioinformatics ◽

10.1515/jib-2004-4 ◽

2004 ◽

Vol 1 (1) ◽

pp. 38-51 ◽

Cited By ~ 1

Author(s):

Eric von Lieres ◽

Sören Petersen ◽

Wolfgang Wiechert

Keyword(s):

Measurement Errors ◽

Phosphoenolpyruvate Carboxykinase ◽

Specific Activity ◽

Integrative Analysis ◽

Scale Model ◽

Multi Scale ◽

Scale Modeling ◽

Modeling Concept ◽

Multi Scale Modeling ◽

Metabolic Data

SummaryMetabolic Engineering aims at the systematic analysis and targeted manipulation of the metabolism in biotechnologically utilized microorganisms [1,2]. Recently, consistent stationary in vivo data sets of intracellular metabolite concentrations, fluxes and specific enzyme activities have become available for this purpose [3,4]. For the integrative analysis of the metabolic data at hand, a novel multi-scale modeling concept, computeralgebraic methods and efficient numerical algorithms are proposed. The available metabolic data are typically afflicted with comparatively large measurement errors. Therefore, reliable comprehensive error estimations are essential for the reasonable interpretation of consecutive outcomes, such as simulation results. The concepts, methods and algorithms are first presented as universal methods and subsequently applied to the anaplerotic regulation in lysine-producing Corynebacterium glutamicum. A multi-scale model is set up, fitted to the available experimental data and validated by the prediction of further experiments. This model is capable of forecasting the quantitative effect of changes in the specific activity of anaplerotic enzymes, namely phosphoenolpyruvate carboxylase, pyruvate carboxylase and phosphoenolpyruvate carboxykinase, on lysine productivity and yield.

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The Goddard multi-scale modeling system with unified physics

Annales Geophysicae ◽

10.5194/angeo-27-3055-2009 ◽

2009 ◽

Vol 27 (8) ◽

pp. 3055-3064 ◽

Cited By ~ 28

Author(s):

W.-K. Tao ◽

D. Anderson ◽

J. Chern ◽

J. Entin ◽

A. Hou ◽

...

Keyword(s):

Land Surface ◽

General Circulation ◽

Regional Scale ◽

Circulation Model ◽

Scale Model ◽

Modeling Framework ◽

Multi Scale ◽

Scale Modeling ◽

Simulated Precipitation ◽

Multi Scale Modeling

Abstract. Recently, a multi-scale modeling system with unified physics was developed at NASA Goddard. It consists of (1) a cloud-resolving model (CRM), (2) a regional-scale model, the NASA unified Weather Research and Forecasting Model (WRF), and (3) a coupled CRM-GCM (general circulation model, known as the Goddard Multi-scale Modeling Framework or MMF). The same cloud-microphysical processes, long- and short-wave radiative transfer and land-surface processes are applied in all of the models to study explicit cloud-radiation and cloud-surface interactive processes in this multi-scale modeling system. This modeling system has been coupled with a multi-satellite simulator for comparison and validation with NASA high-resolution satellite data. This paper reviews the development and presents some applications of the multi-scale modeling system, including results from using the multi-scale modeling system to study the interactions between clouds, precipitation, and aerosols. In addition, use of the multi-satellite simulator to identify the strengths and weaknesses of the model-simulated precipitation processes will be discussed as well as future model developments and applications.

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