ANALYSIS OF THE EFFECT OF SOIL CHARACTERISTICS ON THE DRAINAGE OF DRAINAGE ON SOIL RETAINING WALLS

There are a number of cases of crushing land holders when they occur and afterwards it rains, this collapse is expected to occur due to rainwater that weighed on excessively. Rainwater makes the land around can contain plenty of water so that weighs over the walls of the land excessively and does not inade the drainage system to drain the water so that the wall of the ground is collapsed. The purpose of this study is to find out how influence the characteristics of clay and sand land on distilled drainage on the walls of the landbreak. This research was conducted in the lab with a land characteristic test then made the wall prototype of ground retaining, distilled simulation testing and analysis of clay and sand stability wall stability, with different groundwater faces according to the height of the drainage pipe, the analysis was carried out manually. From the test results of clay and sand in the lab found value c, ø , γ, wc, Gs,k. on clay land obtained permeability values , While the value of sand permeability . Of the two values ​​sand faster in flowing water. After testing the rain simulation of clamp soil levels increased by 18.24% while sand increased by 8.62%, this proved that more water settled in clay. The results of the analysis of the stability of the ground retaining wall with the noise can reduce the horizontal load caused by water.   &nbsp

Diet and nutrition event report

The following report provides an overview of the Diet and Nutrition Event held for the Somali community. The event aimed to raise awareness about healthy eating habits, promote nutrition education, and address specific dietary needs within the Somali community

Conditional ages and residual service times in the M/G/1 queue

In the article we study the M/G/1 queue, and collect results on the age, residual, and length of service, conditional on the number of customers present in the system. Special attention is given to the M/M/1 queue

An alternating service problem

We consider a system consisting of a server alternating between two service points. At both service points, there is an infinite queue of customers that have to undergo a preparation phase before being served. We are interested in the waiting time of the server. The waiting time of the server satisfies an equation very similar to Lindley's equation for the waiting time in the GI/G/1 queue. We will analyze this Lindley-type equation under the assumptions that the preparation phase follows a phase-type distribution, whereas the service times have a general distribution. If we relax the condition that the server alternates between the service points, then the model turns out to be the machine repair problem. Although the latter is a well-known problem, the distribution of the waiting time of the server has not been studied yet. We derive this distribution under the same setting and we compare the two models numerically. As expected, the waiting time of the server is, on average, smaller in the machine repair problem than in the alternating service system, but they are not stochastically ordered