Numerical Modeling Methods for Particle Electrification

2017 ◽  
pp. 117-141
Author(s):  
Zhaolin Gu ◽  
Wei Wei
Keyword(s):  
Numerical Modeling ◽  
Modeling Methods

scholarly journals Investigation of Effective Mechanical Characteristics of Nanomodified Carbon-Epoxide Composite by Numerical and Analytical Methods

2021 ◽  
Vol 12 (5) ◽  
pp. 535-541
Author(s):  
M.O. Kaptakov
Keyword(s):  
Mechanical Properties ◽  
Numerical Modeling ◽  
Fracture Surface ◽  
Mechanical Characteristics ◽  
Modeling Methods ◽  
Fullerene Soot ◽  
The Matrix ◽  
Numerical And Analytical Methods ◽  
Composite Samples

In this work, the mechanical properties of composite samples prepared using a conventional and nanomodified matrix were studied. The thickness of the monolayers in the samples was 0,2 μm. It was found in experiments, that the addition of fullerene soot as a nanomodifierled to an increase in the mechanical properties of the samples along the direction of reinforcement. At the same time, an improvement in the quality of the contact of the matrix with the fibers in the samples with the nanomodifier was observed: on the fracture surface, the nanomodified matrix envelops the fibers, while the usual matrix completely exfoliates. The obtained effects of changing the strength of composites can be associated, among other things, with a change in the level of residual stresses arising in composites during nanomodification. Analytical and numerical modeling methods are used to explain these effects.

APPLICATION OF NUMERICAL MODELING METHODS FOR SAFETY ASSESSMENT AT PUBLIC FACILITIES

2020 ◽  
Vol 13 (3) ◽  
pp. 30-42
Author(s):  
Alla Zvyaginceva ◽  
Svetlana Sazonova ◽  
V. Kul'neva
Keyword(s):  
Mathematical Model ◽  
Numerical Modeling ◽  
Safety Assessment ◽  
Service Sector ◽  
Partial Density ◽  
Fire Hazards ◽  
Public Facilities ◽  
Modeling Methods ◽  
Human Flow ◽  
Fire Design

The assessment of safe evacuation of people in case of fires at social facilities in the service sector was carried out on the basis of numerical modeling methods. The time of safe evacuation of people from the object is regulated on the basis of a basic mathematical model for monitoring fire hazards for a specific social object. The dependences of temperature on the duration of the fire, partial density of O2, optical density of smoke, partial density of CO2 and CO, partial density of HCl on the duration of the fire were established with the implementation of the Fogard software package using a simplified analytical model of human flow. On the basis of the developed mathematical model of the development of a fire, design solutions are proposed that provide a secure dispatch of the population from the facility.

Ancient Stone Bridge Surveying by Ground-Penetrating Radar and Numerical Modeling Methods

2014 ◽  
Vol 19 (1) ◽  
pp. 110-119 ◽  
Author(s):  
Mercedes Solla ◽  
Belén Riveiro ◽  
Henrique Lorenzo ◽  
Julia Armesto
Keyword(s):  
Numerical Modeling ◽  
Ground Penetrating Radar ◽  
Modeling Methods ◽  
Ground Penetrating

The Research on the Numerical Modeling of Foam Material

2014 ◽  
Vol 507 ◽  
pp. 425-428
Author(s):  
Yun Chun Huang ◽  
Wen Jun Hu ◽  
Jun Lin Tao
Keyword(s):  
Numerical Modeling ◽  
Foam Cell ◽  
Cell Structure ◽  
Matrix Material ◽  
Three Dimensional ◽  
Bubble Shape ◽  
Foam Material ◽  
Modeling Methods ◽  
Dimensional Reconstruction ◽  
Deposition Modeling

Proposed three modeling methods for the numerical calculation of the foam material, the method of single cell deposition modeling is simple, but the assumptions of the foam cell structure become complicated, which don’t reflect the position and shape of the bubble holes adequately; the method of three dimensional reconstruction can truly reflect the shape of the foam material’s microstructure only for sliced section foam material, and it involves multiple softwares which leads to become difficult to accomplish; the method of programming enables cell distribute within the foam matrix material anywhere and be able to control the bubble shape of the hole, and it can also control the porosity by the program.

Climate prediction for Brazil's Nordeste by empirical and numerical modeling methods

2008 ◽  
Vol 29 (6) ◽  
pp. 921-926 ◽  
Author(s):  
Stefan Hastenrath ◽  
Liqiang Sun ◽  
Antonio Divino Moura
Keyword(s):  
Numerical Modeling ◽  
Climate Prediction ◽  
Modeling Methods

scholarly journals Inferring the Presence of Freezing Drizzle Using Archived Data from the Automated Surface Observing System (ASOS)

2020 ◽  
Vol 37 (12) ◽  
pp. 2239-2250
Author(s):  
Scott D. Landolt ◽  
Andrew Gaydos ◽  
Daniel Porter ◽  
Stephanie DiVito ◽  
Darcy Jacobson ◽  
...  
Keyword(s):  
United States ◽  
Numerical Modeling ◽  
Situational Awareness ◽  
Doppler Radar ◽  
Transportation Safety ◽  
Classification Algorithms ◽  
Current Form ◽  
Modeling Methods ◽  
Awareness Tool ◽  
Precipitation Type

AbstractIn its current form, the Automated Surface Observing System (ASOS) provides automated precipitation type reports of rain, snow, and freezing rain. Unknown precipitation can also be reported when the system recognizes precipitation is occurring but cannot classify it. A new method has been developed that can reprocess the raw ASOS 1-min-observation (OMO) data to infer the presence of freezing drizzle. This freezing drizzle derivation algorithm (FDDA) was designed to identify past freezing drizzle events that could be used for aviation product development and evaluation (e.g., Doppler radar hydrometeor classification algorithms, and improved numerical modeling methods) and impact studies that utilize archived datasets [e.g., National Transportation Safety Board (NTSB) investigations of transportation accidents in which freezing drizzle may have played a role]. Ten years of archived OMO data (2005–14) from all ASOS sites across the conterminous United States were reprocessed using the FDDA. Aviation routine weather reports (METARs) from human-augmented ASOS observations were used to evaluate and quantify the FDDA’s ability to infer freezing drizzle conditions. Advantages and drawbacks to the method are discussed. This method is not intended to be used as a real-time situational awareness tool for detecting freezing drizzle conditions at the ASOS but rather to determine periods for which freezing drizzle may have impacted transportation, with an emphasis on aviation, and to highlight the need for improved observations from the ASOS.

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