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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 |
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| 300 |
_a80 leaves : _bill.+ _e1 online resource |
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| 490 | 1 |
_aThesis ; _vno. ST-25-05 |
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| 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 |
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| 650 | 0 | _aSturctural Engineering | |
| 650 | 0 | _aArtificial intelligence | |
| 650 | 0 | _aDeep learning (Machine learning) | |
| 700 | 1 |
_aKrishna, Chaitanya, _eChairperson |
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| 700 | 1 |
_aAnwar, Naveed, _e(Co-chairperson) |
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| 700 | 0 |
_aPennung Warnitchai, _eExamination Committee |
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| 700 | 0 |
_aPunchet Thammarak, _eExamination Committee |
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| 700 | 0 |
_aPanon Latcharote, _eExamination Committee |
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| 710 | 2 |
_aAIT Fellowship, _eScholarship Donor |
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| 810 | 2 |
_aAsian Institute of Technology. _tThesis ; _vno. ST-25-05 |
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| 856 | 4 | 0 |
_3Full-Text _uhttp://203.159.5.9/ait-thesis/Viewer/viewer.php?id=B23406 |
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