Jordan University of Science and technology

In this paper, empirical formulae were developed between the well-known pile bearing capacity factors (N q and β) and parameters which include friction angle of sand, relative density, average effective vertical stress, and deformability of the soil below the pile toe. The developed empirical formulae were totally based on a database comprised of 28 well-documented compressive pile load tests collected exclusively from geotechnical literature. The actual measurements of shaft and end-bearing resistances of each pile in the database were adjusted to account for postdriving residual loads. Calculation of pile bearing capacity factors (N q and β) was based on the adjusted shaft and endbearing resistances rather than the actual unadjusted measured resistances for residual loads. Comparison of predicted and measured compressive capacity of an independent database comprised of 18 pile load tests showed that the developed formulae yield a reasonably accurate estimate of compressive pile capacity in cohesionless soils.

The thermal conductivity of two soils was investigated through laboratory studies. These laboratory experiments used the single probe and dual probe methods to measure and compare thermal conductivities. The soils used were classified as sand and loam. Thermal conductivity measured using single probe method ranged from 0.95 to 2.11 for sand and from 0.49 to 0.76 W/m K for loam. Thermal conductivity measured using dual probe method ranged from 0.98 to 2.17 for sand and from 0.51 to 0.78 W/m K for loam. Finally, it was found that sand had higher values of thermal conductivity than loam for all soil conditions studied.

This research is aim to investigate holistic management of floodwaters in Jordan to better understand how this natural hazard can instead be viewed as a valuable natural resource. The groundwater resources in the study area are depleted by the domestic usage and irrigation uses. The limited amount of the groundwater in the area is attributed to the limited natural recharge through the wadi bed during the occurrence of floods. HEC-HMS model were used in order to estimate the surface runoff. A groundwater model for the study area was used to evaluate the effect of flood water on groundwater recharge using the existing volcanic cave. The result shows that Beer Al-Hamam cave with a volume of 20,000 m 3 , when used to store flood water and recharge it for groundwater. The groundwater table will rise (localy) in the range of 0.2 to .5 m per year.