الفهرس 
Chapter 1 IntroductionOnly 14 pages are availabe for public view
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Abstract
Dynamic penetration testing is certainly one of the oldest geotechnical in-situ testings and it was invented to investigate mechanical soil properties. Although there is a great variety of types of dynamic penetrometers, a correlation between the results of penetration and soil mechanical parameters is still not standardized. Correlations can be of great assistance in geotechnical applications. This research presents a statistical study to provide statistical correlations between the results of penetration testing and soil mechanical parameters. Data base of dynamic probing tests (DPH, DPSH) was collected from three different sites. The first site is Ain-Sokhna port, eastern Egypt. The project’s site is within the Suez economic area. This site encompasses around 28 borings down to a depth of 25 m. The ground surface of the borings differs considerably. So, the depths of the borings were adjusted to the sea level. Soil stratifications in the site are organized mainly in layers varying from Loose, very silty fine sand to dense to very dense and silty fine sand. The second site is Sheikh Ammar road, Al Zorah, Ajman, U.A.E. Soil stratifications in the site vary from Medium dense to dense, brown, silty, and medium to fine sand.The third site is a regional highway project located in the Nile delta. Soil stratifications at the site are organized mainly in layers varying from brown medium to very stiff clay. Regression analysis is utilized on the data to predict the soil relative density of non-cohesive soils and the undrained shear strength of cohesive soil. This thesis contains five chapters arranged as follows : Chapter (1) : Introduction The purpose and objectives of the research are defined and the organization is explained. Chapter (2) : Literature Review The relevant literature is reviewed. Chapter (3) : Dataset collection and Methodology This the developed dataset and the locations of the collected data are defined. Moreover, the methodology used to develop the dataset is explained with a statistical analysis of the developed dataset Chapter (4) : Results and Discussion. Methodology and statistical analysis are used to develop the correlations for the prediction of the different soil parameters are explained Chapter (5) : Summary, Conclusions and Recommendations Presents the summary and conclusions derived from the study. Moreover, recommendations and suggestions for future research are also summarized in this chapter.