Abstract:

The construction of residential buildings in the state of Libya has become increasingly expensive, necessitating cost-effective design solutions. Structural engineers play a critical role in reducing construction costs while ensuring safety and efficiency. One approach to achieving an optimal design is minimizing the dimensions of structural elements ,a critical factor influencing structural performance and economy is the rigidity of beam-to-column connections, which significantly affects deformations and then internal forces. According to beam bending theory, bending moments and shear forces are directly proportional to deformation. Therefore, reducing primary curvature leads to a decrease in design moments, allowing for more economical structural sections. This study investigates the impact of considering partial rigidity in beam-to-column connections within reinforced concrete (RC) frame, particularly for single-story buildings. In conventional structural design, connections are often assumed to be either fully rigid or fully pinned, neglecting partial rigidity effects. This oversimplified modeling approach results in overdesign and increased material consumption, deviating from sustainability principles. The research use SAP2000 structural analysis software to assess various degrees of connection rigidity and their influence on member deformation. The findings indicate that incorporating realistic connection rigidity can reduce beam deformation by up to 20% (at 0.7 rigidity) , leading to smaller and more cost-effective frame sections. Furthermore, common construction methods in the state of Libya inherently provide a certain degree of rigidity at beam-to-column interfaces, yet current design practices often overlook this advantage. This study underscores the importance of optimizing beam-to-column connection rigidety to enhance structural performance, reduce material usage, and align with sustainable design principles. The findings contribute to improving cost efficiency in RC frame construction, providing valuable insights for engineers seeking to optimize structural design in residential buildings

Keywords:Beam-to-Column,Connection, Sustainability, Optimum Design , Rigidety

The electric power system network has become more self-sufficient and less dependent on fossil fuel-based units due to the increasing integration of renewable energy resources. It is crucial to have an efficient method or technology for managing the system’s economics, security, reliability,  environmental damage, and the un- certainties that come with fluctuating loads. In this context, this paper utilizes a framework based on probabi- listic simulation of a demand-side management approach and computational intelligence to calculate the optimal value of saving utility cost (SUC). Unlike traditional methods that dispatch peak-clipped resource blocks sequentially, a modified artificial bee colony (MABC) algorithm is employed. The SUC is then reported through a sequential valley-filling procedure. Consequently, the SUC is derived from the overall profitability of the gen- eration system and includes savings in energy costs, capacity costs, and expected cycle costs. Further investi- gation to obtain the optimal value of SUC was conducted by comparing the SUC determined directly and indirectly, explicitly referring to the peak clipping energy of thermal units (PCETU). The comparisons utilized the MABC algorithm and a standard artificial bee colony, and the results were verified using the modified IEEE RTS- 79 with varying peak load demands. The findings illustrate that the proposed method demonstrated robustness in determining the global optimal values of SUC increments, achieving increases of 7.26 % for 2850 MW and 5 % for 3000 MW, compared to indirect estimation based on PCETU. Moreover, SUC increments of 18.13 % and 25.47 % were also achieved over the conventional method.

Abstract—In the current landscape of power system utilities, ensuring stability and reliability is more crucial than ever, highlighting the  importance of your expertise and contributions. Protecting transmission lines is essential for  maintaining these key attributes in power delivery. This study introduces an innovative approach  using wavelet transform (WT) to an effective wavelet transform (WT) approach. Detect and classify  transmission line faults. The unique capabilities of wavelets make them ideal for addressing  transient disturbances in power systems. Our algorithm utilizes the discrete wavelet transform  (DWT) to extract the three-phase current signal in the case of a single line-to-ground fault.  Carefully selecting the Daubechies4 mother wavelet significantly enhances our ability to gather  helpful information about fault conditions. The classification process is based on careful  calculation. The absolute sum of the signal details at level 2 over a single cycle window provides  precise insights. We employed Power System Computer-Aided Design / Electromagnetic Transients with  DC (PSCAD/EMTDC) to generate the three-phase current signal in a tested 230 kv transmission system.  The simulation results robustly demonstrate that our proposed algorithm excels in detecting and  classifying both faulted and healthy phases, ensuring a future of heightened reliability in power  systems.

ABSTRACT: This paper focuses on using natural language processing (NLP) in chatbots to manage stress in war-affected countries. A Java-based chatbot was designed to alleviate stress using two algorithms: TextRank and Stanford_CoreNLP. The problem was solved by integrating different languages using a plugin. The chatbot was tested with fifteen people and received positive feedback. Modifications were made based on user feedback, with journaling being a winner. However, the chatbot faced limitations like a lack of Arabic language support and voice chat features.

Water injection has proven to be one of the most successful, efficient and cost-effective reservoir management strategies. By reinjecting treated and filtered water into tanks, this approach can help maintain tank pressure, increase hydrocarbon production, and reduce environmental impact. The goal of this project is to create a water injection model using Eclipse tank simulation software to better understand water injection methods to maintain tank pressure. A basic reservoir model is utilized in this investigation. The simulation was performed about 52 years using ECLIPSE Reservoir simulator. In all cases, result shows that oil production with water injection is higher compared with the base case. With this, it would be preferred to apply waterflooding for oil recovery in depleted reservoirs to the use of primary methods. It is also observed that water breakthrough is earlier and water production increases gently with water injection rates. Sensitivity on the injection rate using the 3D model showed that the injection rate has impact on the process. The pressure increases with high injection water rate in all cases. Despite higher reservoir pressure and early in water breakthrough, water flooding accounts for less oil recovery due to rapid water production. Generally, based on the results and discussions, it can be concluded that the water injection option can be used to increase the reservoir pressure to a good extent. 

Abstract::

This paper presents a comprehensive analysis of linear and nonlinear structural analysis methods, evaluating their Its effect in optimizing and sustaining structural designs. By leveraging advanced scientific data and analytical techniques, this study aims to discern the optimal conditions and scenarios for employing each method. The research includes detailed calculations, comparative data, and case studies, emphasizing the sustainability implications and long-term benefits of each approach.

The main goal of this study (which the comprehensive reservoir study for Libyan X Field plan of development) is to predict future performance of a reservoir and find ways and means of optimizing the recovery of some of the hydrocarbon under various operating conditions. The simulator results show the reservoir pressure history curve is matching to the stimulation curve, this gives a good indication of the input data that has been entered to the model. The driving mechanism for all those reservoirs it comes from three natural forces, which are fluid expansion, PV compressibility, and water influx. The best method to choose as secondary recovery for this oil field is water and gas Injection. Water and gas Injection have the largest Total Field Recovery. Water and gas Injection have the highest Reservoir Pressure at the end of the project. The highest percentage of oil recovery was when the water and gas were injected and it reached 58%, then when the water was injected and it reached 55%, and then when the gas was actually injected and it reached 54%. The field pressure rise was greater when water and gas were injected, and the pressure reached 792 psi, while it was less when only water was injected, reaching 435.5 psi, and when only gas was injected, it reached 412.9 psi. Finally, central objective of this master thesis with the help of reservoir simulation fulfilled to produce future prediction that will lead to optimize reservoir performance which meant reservoir developed in the manner that brings utmost benefit to the commercial business.

Identifying the driving mechanism and PVT analysis is important for optimizing reservoir development plans through primary, secondary, or tertiary recovery methods. Also, determining the size of an aquifer (based on its response to pressure support) provides a means of calibrating known physics against production data, which once calibrated can be used for prediction. In this paper, the types of natural drivers of the reservoir were estimated and compared using a program called MBAL after matching production history data with model results. The purpose of this paper is to evaluate the basic driving mechanisms and PVT analysis using MBAL software for Intisar D field. The final project results can be seen matching the real data of the reservoir with the program results using MBAL software. The simulation results show that the reservoir pressure history curve matches the stimulation curve, and this gives a good indication of the input data fed into the model. The driving mechanism for all these tanks comes from three natural forces, namely fluid expansion, compression, and water flow. It started with the expansion of the fluid from 0 to 0.60, with the compressibility from 0.60 to 0.89, and with the flow of water from 0.89 to 1 is the flow of water.

This study provides a comprehensive evaluation of the compliance of key Libyan government websites with the Web Content Accessibility Guidelines (WCAG) 2.2, the latest international standard for digital accessibility published in October 2023. The assessment focuses on the nine new success criteria introduced in WCAG 2.2, which aim to improve accessibility for users with low vision, cognitive, and motor disabilities. By conducting thorough automated and manual testing, this research identifies the specific strengths and weaknesses of the evaluated websites in meeting WCAG 2.2 requirements at the A, AA, and AAA levels. The findings reveal significant areas for improvement across the government's online presence and provide actionable recommendations for Libyan institutions to enhance their digital accessibility efforts and create a more inclusive online environment for all citizens. KEYWORDS: digital accessibility, web accessibility, compliance, Libyan government websites