Design of High Rise Reinforced Concrete Buildings

Design of a high-rise reinforced concrete building, like any engineering design, is a complex multidisciplinary process with the objective to discover, detail and construct a system to fulfill a given set of performance requirements. The success of this process is highly dependent upon the cooperation taking place between the members of the design team. Although present-day engineering computer technology allows for precise analysis and design of the different subsystems of the high-rise building, it does not readily provide insight for choosing among alternatives of these subsystems to arrive at the best overall design. The thesis begins with a review of the design of high rise buildings and the conceptual design of it. Then the study is carried out to investigate some special structural problems. The configuration examined in this study was a square twenty eight (28) story reinforced concrete structure, for three (3) different structures: the first one is core wall structure without bracing, the second is core wall structure with bracing system and the third is shear wall structural system. These three different structures subjected to different load combinations, the final result is analyzed. The analysis of the structural form performed using ETABS software program by two methods of analyzing, equivalent static method (static analysis) & response spectrum method (dynamic analysis) and the results of the analysis compared such as, displacement, drift, shear force and moment between the three structures in each methods. The design results presented in tabular form. Keywords: High rise building, Structure Design, Response Spectrum Analysis, Equivalent Static Analysis, ETAB

QUALITY POINTPAL: AI-ENHANCED REDEFINITION OF SOCIAL NETWORKING FOR SUSTAINABLE DIGITAL USAGE AND GENUINE HUMAN CONNECTIONS

The increasing prevalence of digital interactions in our lives has raised concerns regarding social withdrawal, exemplified by the hikikomori phenomenon. To combat this issue, we introduce PointPal, an intelligent social platform aimed at bridging the gap between online engagement and real-world interactions, with a particular focus on addressing challenges associated with excessive internet use and hikikomori tendencies. PointPal provides a sophisticated digital environment where users can securely connect based on mutual interests, facilitating a seamless transition from virtual conversations to in-person meetings. Incorporating artificial intelligence voice recognition technology enhances accessibility and safety, while a personal safety button addresses concerns about meeting unfamiliar individuals online, promoting secure navigation of the digital landscape and encouraging more sustainable usage patterns. Through a comprehensive survey conducted among a diverse group in the UAE, including young adults, residents, tourists, and travellers, we identified key features deemed essential for facilitating offline meetups. The Interactive Map emerged as the top priority, followed by AI Chatbot Assistance, emphasizing the importance of user support, and User Meetup Reviews, highlighting the value of peer feedback. Conversely, Photo & Media Sharing was considered less vital. By integrating an Interactive Map and AI Chatbot Assistance, PointPal endeavours to revolutionize the social application industry, substantiating its potential value. Built on a microservices architecture, the system ensures modularity and scalability, comprising essential services such as User Management, Interest Management, Meeting Management, Chat, Moderation, and AI Chatbot microservices. The incorporation of AI sound recognition provides users with a natural and intuitive means of interaction, distinguishing PointPal by fostering meaningful connections and guaranteeing socially secure internet navigation, thereby surpassing existing applications