RUST: A Coupon Corrosion Test Data Base for Metals and Nonmetals

2008 ◽  
pp. 239-239-14
Author(s):  
BJ Moniz ◽  
TC Wool
Keyword(s):  
Data Base ◽  
Test Data ◽  
Corrosion Test

Correlation of the Results Obtained With Corrosion Inhibitors in the Laboratory and in the Field★

CORROSION ◽  
1956 ◽  
Vol 12 (1) ◽  
pp. 33-38 ◽  
Author(s):  
G. E. PURDY ◽  
WILLIAM J. RIES
Keyword(s):  
Field Test ◽  
Test Data ◽  
Corrosion Test ◽  
Corrosion Inhibitors ◽  
Oil Field ◽  
Test Method ◽  
Internal Corrosion ◽  
West Texas ◽  
Organic Inhibitors ◽  
The Many

Abstract One of the responsibilities of the oil field corrosion engineer is to correlate laboratory and field test data. With this in mind the principle factors which influence internal corrosion in oil wells (factors which the corrosion engineer must consider) are reviewed here. A laboratory corrosion test method is discussed. Corrosion rate data obtained in the laboratory with three West Texas crude oil and brine systems and the corrosion inhibition obtained in these systems with two organic inhibitors are analyzed and compared. Field corrosion test data for the same three fields are presented. The correlation of laboratory and field test data is discussed in relation to the many variables encountered. It is concluded that the evaluation of the use of inhibitors in some cases may be difficult and may require considerable experience and judgment on the part of the corrosion engineer.

scholarly journals Probability density fittings of corrosion test-data: Implications on C6H15NO3 effectiveness on concrete steel-rebar corrosion

Sadhana ◽  
2014 ◽  
Vol 39 (3) ◽  
pp. 731-764 ◽  
Author(s):  
JOSHUA OLUSEGUN OKENIYI ◽  
IDEMUDIA JOSHUA AMBROSE ◽  
STANLEY OKECHUKWU OKPALA ◽  
OLUWAFEMI MICHAEL OMONIYI ◽  
ISAAC OLUWASEUN OLADELE ◽  
...  
Keyword(s):  
Probability Density ◽  
Test Data ◽  
Corrosion Test ◽  
Steel Rebar ◽  
Rebar Corrosion

scholarly journals Dyslexia, Dysgraphia and Dyscalculia: A Response to Intervention Approach to Classification

2022 ◽  
Author(s):  
Charles Potter
Keyword(s):  
Learning Disabilities ◽  
Response To Intervention ◽  
Data Base ◽  
Test Data ◽  
Longitudinal Assessment ◽  
Functional Difficulties ◽  
Intervention Approach ◽  
Diagnosis And Classification ◽  
Electronic Data Base

This chapter provides a model for classification of dyslexia, dysgraphia and dyscalculia through analysis of the response of children to treatment. The model is discussed with reference to the types of multivariate treatment applied in a particular programme which works interactively online using an electronic data-base for linking functional difficulties in learning to treatment, and through this to firm diagnosis and classification. In applying the model, initial diagnosis of learning disabilities is treated as provisional, based on functional indicators as well as test data. Firm classification becomes possible through longitudinal assessment, analysis of response to multivariate intervention as well as response to specific programmes. Diagnosis can then be linked both to concessions as well as ongoing treatment.

scholarly journals Development of Vehicle Environment for Field Operational Test Data Base of Driver-vehicle's Behaviour

2013 ◽  
Vol 21 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Jinyong Kim ◽  
Changhyun Jeong ◽  
Minji Jeong ◽  
Dohyun Jung ◽  
Jinmyung Woo
Keyword(s):  
Data Base ◽  
Test Data ◽  
Operational Test ◽  
Field Operational Test

Review of detail categories of lattice girder node joints of EC 3

2021 ◽  
Author(s):  
Helen Bartsch ◽  
Markus Feldmann
Keyword(s):  
Fatigue Strength ◽  
Data Base ◽  
Fatigue Test ◽  
Test Data ◽  
Design Recommendations ◽  
Database Structure ◽  
Different Types ◽  
Set Up ◽  
Lattice Girder

<p>The paper deals with the re-evaluation of detail categories of lattice girder node joints based on fatigue test data. An elaborate database structure has been set up to evaluate the available fatigue test data in a differentiated way. Detail categories of different types of K and N joints have been investigated and re- evaluated based on the developed data base. Geometric influences on the fatigue strength have been analysed and design recommendations are given.</p>

scholarly journals Exploration of learning styles by applying data mining technologies

2014 ◽  
Vol 55 ◽  
Author(s):  
Danutė Kaklauskienė ◽  
Sigita Turskienė
Keyword(s):  
Data Mining ◽  
Distance Learning ◽  
Learning Styles ◽  
Data Base ◽  
Learning Style ◽  
Test Data ◽  
Research Data

The article deals with the possibilities to estimate students’ learning styles by applying data mining technologies and the methods suggested by the VARK learning styles model. Using the method of communication, the VARK learning style model in a chosen respondents’ set was estimated. This enables to formulate recommendations for an author of a distance learning course concerning possibilities of personalisation of a particular distance learning course. The concept-baseddata model was chosen to model the research data. The data of the designed e-test data base was processed by applying five stages of data mining.

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