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035 _a.b12473972
099 9 _aAIT Thesis no.ST-25-05
100 1 _aZwe Yan Naing
245 1 0 _aAI-driven predication of concrete beam size, design and capacity for gravity loads
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2025
300 _a80 leaves :
_bill.+
_e1 online resource
490 1 _aThesis ;
_vno. ST-25-05
500 _aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Structural Engineering
502 _aThesis (M. Eng.) - Asian Institute of Technology, 2025
520 _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.
650 0 _aStructural design
_xData processing
650 0 _aSturctural Engineering
650 0 _aArtificial intelligence
650 0 _aDeep learning (Machine learning)
700 1 _aKrishna, Chaitanya,
_eChairperson
700 1 _aAnwar, Naveed,
_e(Co-chairperson)
700 0 _aPennung Warnitchai,
_eExamination Committee
700 0 _aPunchet Thammarak,
_eExamination Committee
700 0 _aPanon Latcharote,
_eExamination Committee
710 2 _aAIT Fellowship,
_eScholarship Donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. ST-25-05
856 4 0 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/Viewer/viewer.php?id=B23406
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909 _aBarcode : -
_bCREATED : 2026-02-02
_cRECORD # : i13570584
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