—Predicting the groundwater level has recently become very important research topic especially with the rise of population density and consequently increasing the water demand. This paper uses the Random Forest and linear regression neural network models to predict the groundwater level of Wadi-Alshaty district in the South West part of Libya. The results are compared with that obtained using the hydrologic long-term forecasting graphical approach. One of the most important findings of this study is the effectiveness of the neural network models to investigate the fluctuation of the groundwater levels over time (20 years)
Amna Elhawil, Alarabi Naji, Malak Nuesry, Almabruk Sanossi(12-2021)

This research aims to experimentally evaluate the behaviour of multi-layered fibrous cementitious composites with intermediate Glass Fibre Meshes (GFM) under repeated projectile load. The impact load was subjected through a convex edge projectile needle at a low velocity on cylindrical specimens of three-layered fibrous cementitious composites, which have two different steel fibre distributions. In series A mixtures, a constant steel fibre dosage of 2.5% by volume was used. On the other hand, the fibre dosage of the outer layers was 3.0%; while it was 1.5% in the middle layer of series B mixtures. The number of intermediate GFM was the variable that distinguishes the mixtures of each series. The resistance to projectile impacts was evaluated on the basis of penetration depth, near surface distortion, weight loss, damage ratio and failure pattern. The test results showed that due to the combined effect of steel fibre and GFM, significantly lower weight losses were recorded for series A and B specimens compared with reference specimens. However, the different fibre distributions (series B) led to lower penetration depths and weight losses with less surface distortion compared with the fixed fibre distribution (series A). The reduction in the destroyed front surface area of series A specimens compared with reference specimens ranged from 27.8 to 38.1%; while that of series B specimens ranged from 34.8 to 53.4%. In addition, a simplified analytical model was introduced to predict the ejected composite mass. The model predictions were found to be in good agreement with the experimental masses. arabic 9 English 71
Hakim S. Abdelgader (1-2021)

تتضمن هذه الورقة دراسة عن الجسور وتوظيف برنامج نظم المعلومات الجغرافية GIS لأرشفة معلومات عن هذه الجسور، فمن خلال البحث عن معلومات عن الجسور لدي مؤسسات الدولة المعنية بجسور داخل مدينة طرابلس تبين عدم وجود أي بيانات، مما تطلب حصر معظم الجسور داخل مدينة طرابلس وجمع المعلومات العامة والمتمثلة في ( الاسم، الاحداثيات، الطول، العرض، ومنطقة ربط الجسر) لعدد 51 جسر، وتم عمل دراسة تفصيلية عن ثلاث جسور واجراء فحص بصري ظاهري وجمع البيانات عن حالتها ووظائف عناصرها اذا كانت تشتغل بالشكل المطلوب وما بها من عيوب ام بصحة جيدة وبعد جمع بيانات الفحص البصري وتقييم حالة الجسور تم وضع هذه البيانات في بطاقات وربط كل البيانات التي تم جمعها في برنامج نظم المعلومات الجغرافية لأرشفتها الكترونيا ليسهل الوصول اليها في أي وقت من قبل المهتمين للحصول علي معلومات عن الجسور داخل مدينة طرابلس بطريقة سهلة وميسورة وفي اسرع وقت وتكون خطوة للاستغناء عن الارشفة الورقية. arabic 135 English 3
هيفاء علي رجب ابوحليقة(3-2020)