Distribution of moist and dry pores in a moist porous material (a probability model)

1990 ◽  
Vol 59 (2) ◽  
pp. 1016-1020
Author(s):  
V. I. Malarev
Keyword(s):  
Porous Material ◽  
Probability Model ◽  
Moist Porous Material

scholarly journals Thermal Conductivity of the Moist Porous Material.

Netsu Bussei ◽  
1993 ◽  
Vol 7 (3) ◽  
pp. 177-182
Author(s):  
Shuichi Hokoi ◽  
Mamoru Matsumoto
Keyword(s):  
Thermal Conductivity ◽  
Porous Material ◽  
Moist Porous Material

Mass Transfer and Pressure Rise in Moist Porous Material Subjected to Sudden Heating

1977 ◽  
Vol 99 (1) ◽  
pp. 105-112 ◽  
Author(s):  
H. Saito ◽  
N. Seki
Keyword(s):  
Mass Transfer ◽  
Porous Material ◽  
Heat And Mass Transfer ◽  
Pressure Rise ◽  
Maximum Pressure ◽  
Initial Water Content ◽  
Initial Water ◽  
Finite Difference Equations ◽  
Basic Equations ◽  
Moist Porous Material

In this paper the authors treat heat and mass transfer which may occur in a moist porous material when it is subjected to a sudden heating of a prescribed temperature at the surface. The basic equations describing the heat and mass transfer and their dimensionless forms are presented. Thereafter, a procedure to solve the basic equations is mentioned by using their finite difference equations. Referring to the results of the numerical computations, the influences of various parameters including thermal conductivity, heat capacity, void fraction, mobility, and initial water content of the material upon temperature, pressure, and moisture distributions in the material are discussed in detail. As a conclusion of these discussions, the authors present an empirical formula to predict the maximum pressure. The proposed formula is compared with experimental results and it is found that the formula is useful for the prediction of the maximum pressure occurring in the material during heating.

Random pseudo promptings applied to the thermal characterization of a wet porous material

1999 ◽  
Vol 6 (1) ◽  
pp. 101-108 ◽  
Author(s):  
E. Delacre ◽  
D. Defer ◽  
E. Antczak ◽  
B. Duthoit
Keyword(s):  
Porous Material ◽  
Thermal Characterization

Probability model for control parameters in the aircraft's information and control systems

2018 ◽  
Vol 2 ◽  
pp. 9-16
Author(s):  
A. Al-Ammouri ◽  
◽  
H.A. Al-Ammori ◽  
A.E. Klochan ◽  
A.M. Al-Akhmad ◽  
...  
Keyword(s):  
Control Systems ◽  
Probability Model ◽  
Control Parameters ◽  
And Control

Porous material composites produced by combustion synthesis

1999 ◽  
Author(s):  
X. Zhang ◽  
J. Moore ◽  
F. Schowengerdt ◽  
H. Yi
Keyword(s):  
Porous Material ◽  
Combustion Synthesis

Economic modeling of touristic services demand in the regions

2019 ◽  
pp. 87-93
Author(s):  
Ivan Blahun ◽  
Halyna Leshchuk ◽  
Mariya Kyfor
Keyword(s):  
Systematic Approach ◽  
Income Elasticity ◽  
Probability Model ◽  
Economic Modeling ◽  
Tourism Demand ◽  
Goods And Services ◽  
Household Incomes ◽  
Tourism Services ◽  
Income Decile

Considering the important role of tourism in the socio-economic development of regions, the need for information and modeling of ways to increase demand for tourism services and tourism development is being updated. The article uses methods of analytical, logical, comparative analysis and systematic approach to study trends in demand for tourist services in Ukraine. Econometric modeling analyzes the demand for tourism services by the level of income and expenditures of the population in 2018. Trends in demand for tourism services in 2018 in terms of income and expenditure of the population with the use of the Tornquist econometric model have been analyzed. It is proposed to use the decile groups of the population for analyzing income and expenditure by the level of income, total income per capita, the level of household expenditure relative to income, the percentage of tourism expenditure by households, the expenditure on tourism and the elasticity of tourism demand. Average values of the population’s expenditures on tourism were established, which helped to determine the elasticity of effective demand for each decile group. The more than one unit of elasticity of effective tourism demand for each decile group indicated that tourism services for domestic households belong to the group of luxury goods and services. It should be noted that in the following decile income groups of households there is a decrease in elasticity. It means that when income tends to increase indefinitely, elasticity coefficients fall, and this indicates a stabilization of costs of this type. In this case, the percentage of households in each decile group that recorded the costs of organized tourism in their budgets and the value of the probability of household participation in this form of recreation was determined based on an estimated probability model. An analysis of the values of income elasticity indicators in each income decile group has shown that increasing household incomes contribute to increased demand for tourism services and an increase in the share of expenditures for these purposes in household budgets.

A Probability Model for TCP Slow Start

2011 ◽  
Vol 21 (1) ◽  
pp. 45-48
Author(s):  
Asmir Gogic ◽  
Nermin Suljanovic ◽  
Amer Hasanovic ◽  
Aljo Mujcic
Keyword(s):  
Probability Model ◽  
Slow Start

scholarly journals Unified particle system for multiple-fluid flow and porous material

2021 ◽  
Vol 40 (4) ◽  
pp. 1-14
Author(s):  
Bo Ren ◽  
Ben Xu ◽  
Chenfeng Li
Keyword(s):  
Fluid Flow ◽  
Porous Material ◽  
Particle System
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