02423nas a2200301 a 450000500170000000800410001703500150005810000180007324500870009126000670017830000420024549000270028750001330031450200590044752011010050665000390160765000270164665000280167365000370170170000370173870000370177570000470181270000460185970000450190571000390195081000590198985600730204820260817162000.0260202s20259999th u ms t 000 eng d a.b124739721 aZwe Yan Naing10aAI-driven predication of concrete beam size, design and capacity for gravity loads aPathum Thani, Thailand :bAsian Institute of Technology,c2025 a80 leaves :bill.+e1 online resource1 aThesis ;vno. ST-25-05 aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Structural Engineering aThesis (M. Eng.) - Asian Institute of Technology, 2025 aArtificial Intelligence (AI) has emerged as a transformative technology, driving innovation across numerous industries through its ability to process information and data, learn patterns, and make predictions.This research addresses the need for efficiency and innovation in structural engineering, where traditional design methods involving iterative calculations can be time-consuming and complex. The study develops an AI-driven framework, utilizing Artificial Neural Networks (ANNs), to predict cross-section size, rebar area, and loading capacity for continuous rectangular shaped reinforced concrete beam. The ultimate goal is to deploy these models as a cloud-based web application, integrating Large Language Models (LLMs) to enhance accessibility and interaction for civil and structural engineers, as well as students. This application will provide a practical, code-compliant tool for efficient structural design,streamlining the traditional process especially in preliminary design stage and offering an intuitive, automated solution in innovative structural design workflow.  0aStructural designxData processing 0aSturctural Engineering 0aArtificial intelligence 0aDeep learning (Machine learning)1 aKrishna, Chaitanya,eChairperson1 aAnwar, Naveed,e(Co-chairperson)0 aPennung Warnitchai,eExamination Committee0 aPunchet Thammarak,eExamination Committee0 aPanon Latcharote,eExamination Committee2 aAIT Fellowship,eScholarship Donor2 aAsian Institute of Technology.tThesis ;vno. ST-25-05403Full-Textuhttp://203.159.5.9/ait-thesis/Viewer/viewer.php?id=B23406