Experimental Laboratory Determination of the Steady State of Sands

2000 ◽  
Vol 40 (1) ◽  
pp. 113-122 ◽  
Author(s):  
Diego C.F. Lo Presti ◽  
Ignazio Puci ◽  
Oronzo Pallara ◽  
Roberto Maniscalco ◽  
Sergio Pedroni
Keyword(s):  
Steady State ◽  
Laboratory Determination ◽  
Experimental Laboratory

STEADY-STATE DETERMINATION OF FUEL-BOND NITROGEN IN DIESEL AND INDUSTRIAL GAS OIL

Clean Air ◽  
2007 ◽  
Vol 8 (4) ◽  
pp. 359-371
Author(s):  
A. Medeiros ◽  
R. Edenhofer ◽  
K. Lucka ◽  
H. Kohne
Keyword(s):  
Steady State ◽  
Gas Oil ◽  
State Determination

Laboratory Determination of the Solid Phase Composition of Technogenically Salinized Peatlands: Possibilities and Limitations

2020 ◽  
Vol 75 (3) ◽  
pp. 131-137
Author(s):  
Yu. N. Vodyanitskii ◽  
N. A. Avetov ◽  
A. T. Savichev ◽  
S. Ya. Trofimov ◽  
E. A. Shishkonakova
Keyword(s):  
Phase Composition ◽  
Solid Phase ◽  
Laboratory Determination ◽  
Solid Phase Composition

TESTS COATINGS UNDER VARIABLE LOADS

2017 ◽  
pp. 95-98
Author(s):  
N. L. Venediktov ◽  
A. N. Venediktov ◽  
I. M. Kovenskiy
Keyword(s):  
Fatigue Testing ◽  
Laboratory Scale ◽  
Kinematic Scheme ◽  
Electrolytic Coating ◽  
Test Parameters ◽  
Experimental Laboratory

The experimental laboratory-scale plant for the fatigue testing of samples with electrolytic coating were designed and constructed. Shows the kinematic scheme and considered the principle of the plant. The dependences for determination of test parameters and the method of testing samples with coatings under variable loads were obtained.

Calcium Budgets for Catchments as Interpreted by Strontium Isotopes

1989 ◽  
Vol 20 (2) ◽  
pp. 85-96 ◽  
Author(s):  
Gunnar Jacks ◽  
Göran Åberg ◽  
P. Joseph Hamilton
Keyword(s):  
Steady State ◽  
Forest Ecosystem ◽  
Coniferous Forest ◽  
Strontium Isotopes ◽  
Runoff Water ◽  
Weathering Rate ◽  
Weathering Rates ◽  
Exchangeable Calcium

Strontium isotopes in precipitation, soil and runoff water can be used to establish a ratio of wet plus dry deposited Sr to Sr released by weathering. This ratio is especially enhanced in areas with old acid Proterozoic rocks (0.6-2.5 Ga) and Archean rocks (>2.5 Ga). Since Sr and Ca behave in an analogous way in the coniferous forest ecosystem the results for Sr can be used for the determination of Ca. If the deposition of calcium can be calculated reasonably accurately the weathering rate can also be estimated. Five catchments have been investigated using this approach. Three of them seem to be close to a steady state, wherein the losses and gains of calcium to the system are equal. In the two southern-most catchments there seems to be an ongoing loss of exchangeable calcium. The loss by runoff occurs with sulphate being the dominant anion. Weathering rates of 1.5 to 4.8 kg Ca/ha year have been estimated.

A Graphical Method for Storage Coefficient Determination from Quasi-Steady State Flow Data

1996 ◽  
Vol 27 (4) ◽  
pp. 247-254 ◽  
Author(s):  
Zekâi Şen
Keyword(s):  
Steady State ◽  
Graphical Method ◽  
Pumping Test ◽  
Quasi Steady State ◽  
Flow Data ◽  
Steady State Flow ◽  
Storage Coefficient ◽  
State Flow ◽  
Aquifer Test

A simple, approximate but practical graphical method is proposed for estimating the storage coefficient independently from the transmissivity value, provided that quasi-steady state flow data are available from a pumping test. In the past, quasi-steady state flow distance-drawdown data have been used for the determination of transmissivity only. The method is applicable to confined and leaky aquifers. The application of the method has been performed for various aquifer test data available in the groundwater literature. The results are within the practical limits of approximation compared with the unsteady state flow solutions.

Operational Determination of the Activated Sludge Process Using Neural Networks

1992 ◽  
Vol 26 (9-11) ◽  
pp. 2461-2464 ◽  
Author(s):  
R. D. Tyagi ◽  
Y. G. Du
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Steady State ◽  
Activated Sludge ◽  
Feedforward Neural Network ◽  
Training Data ◽  
Activated Sludge Process

A steady-statemathematical model of an activated sludgeprocess with a secondary settler was developed. With a limited number of training data samples obtained from the simulation at steady state, a feedforward neural network was established which exhibits an excellent capability for the operational prediction and determination.

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