Best fit model to estimate relation between (CBR) and the dry density of fine grains soils
Joint Authors
al-Saffar, Abd al-Karim Khalil
Hassun, Afaf Rafiq
Source
Journal of University of Babylon for Engineering Sciences
Issue
Vol. 22, Issue 4 (31 Dec. 2014), pp.797-802, 6 p.
Publisher
Publication Date
2014-12-31
Country of Publication
Iraq
No. of Pages
6
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Topics
Abstract AR
لقد تم اخذ قيمة التحمل الكليفورني و الكثافة الجافة لـ (١٢) نموذج من ترب ناعمة مختلفة تم تجميعها من مختبر بابل المركزي و مختبر كلية الهندسة.
و تم استخدام طرق إحصائية للربط بين المتغيرين للحصول على علاقة خطية مع معادلة رياضية.
و فعلا تم الحصول على علاقة و معادلة معقولة.
من ناحية أخرى فأن كثير من الوقت و الجهد قد تم اختصارهما.
Abstract EN
CBR test and dry density of fine soil from 12 test results collected from Central Laboratory and Engineering College laboratory, and a statistical method was used to find out a relationship between the CBR and dry density of the soil desiring to obtain a straight line relationship and a formula combining the previous two variables.
A reasonable straight line relationship represented by formula was obtained.
In other hand the time and efforts was minimized.
American Psychological Association (APA)
al-Saffar, Abd al-Karim Khalil& Hassun, Afaf Rafiq. 2014. Best fit model to estimate relation between (CBR) and the dry density of fine grains soils. Journal of University of Babylon for Engineering Sciences،Vol. 22, no. 4, pp.797-802.
https://search.emarefa.net/detail/BIM-441570
Modern Language Association (MLA)
al-Saffar, Abd al-Karim Khalil& Hassun, Afaf Rafiq. Best fit model to estimate relation between (CBR) and the dry density of fine grains soils. Journal of University of Babylon for Engineering Sciences Vol. 22, no. 4 (2014), pp.797-802.
https://search.emarefa.net/detail/BIM-441570
American Medical Association (AMA)
al-Saffar, Abd al-Karim Khalil& Hassun, Afaf Rafiq. Best fit model to estimate relation between (CBR) and the dry density of fine grains soils. Journal of University of Babylon for Engineering Sciences. 2014. Vol. 22, no. 4, pp.797-802.
https://search.emarefa.net/detail/BIM-441570
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 801-802
Record ID
BIM-441570
