AI SearchAI-assisted predictive design for prestressed concrete I-girder bridges (Record no. 3381)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03943nas a2200397 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260817162000.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260202s20259999th u ms t 000 eng d |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | .b12473947 |
| 099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | AIT Thesis no.ST-25-02 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Hammad, Muhammad |
| 245 10 - TITLE STATEMENT | |
| Title | AI-assisted predictive design for prestressed concrete I-girder bridges |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Pathum Thani, Thailand : |
| Name of publisher, distributor, etc. | Asian Institute of Technology, |
| Date of publication, distribution, etc. | 2025 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 108 leaves : |
| Other physical details | ill.+ |
| Accompanying material | 1 online resource |
| 490 1# - SERIES STATEMENT | |
| Series statement | Thesis ; |
| Volume/sequential designation | no. ST-25-02 |
| 500 ## - GENERAL NOTE | |
| General note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Structural Engineering |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M. Eng.) - Asian Institute of Technology, 2025 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This thesis presents the development of an AI-assisted framework for the preliminary design and optimization of prestressed concrete (PSC) I-girder bridge superstructures using Artificial Neural Networks (ANN) and a Large Language Model (LLM)-based design assistant. The framework addresses the challenges of time-consuming manual processes and high computational costs associated with traditional bridge design methods. A synthetic dataset comprising 7,560 parametric bridge designs was generated using CSi Bridge Express, incorporating configuration by varying span lengths, number of lanes, girder types and spacing, slab thicknesses, and number of interior diaphragms, all in compliance with AASHTO LRFD 2020 specifications.Multiple ANN models are trained to predict structural design checks, reinforcement quantities, internal forces, prestressing losses, and Bill of Quantities (BOQs). These models achieved high performance, with classification accuracies exceeding 99% and regression R² scores above 98% for most outputs. The trained models are integrated into a desktop-based design tool, built using the WPF framework and connected to a Flask backend. A Gemini-based LLM agent interprets user prompts and autonomously routes the requests to appropriate ANN tools based on intent.Three intelligent tools are developed: Tool-1 for complete bridge design generation, Tool-2 for individual span design exploration, and Tool-3 for parametric variation based design evaluation. The output bridge designs are ranked based on material cost and validated by comparison with CSi Bridge Express design results. Most predictions fell within a ±10% error range, confirming the framework{u2019}s accuracy.The developed system enables rapid and cost-effective design decision-making, significantly enhancing productivity in early bridge planning stages. While the framework demonstrated high accuracy for deck and diaphragm predictions, refinement is recommended for girder shear reinforcement and long-term prestress losses. This research highlights the transformative potential of AI in structural engineering, offering a scalable and intelligent solution for the preliminary design of PSC I-girder bridges. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Concrete bridges |
| General subdivision | Design and construction |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Concrete bridges |
| General subdivision | Computer-aided design |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Pennung Warnitchai, |
| Relator term | Chairperson |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Anwar, Naveed, |
| Relator term | (Co-chairperson) |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Thanakorn Pheeraphan, |
| Relator term | Examination Committee |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Krishna, Chaitanya, |
| Relator term | Examination Committee |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Computer and Structures Inc.(CSI), USA, |
| Relator term | Scholarship Donor |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | AIT Scholarship, |
| Relator term | Scholarship Donor |
| 810 2# - SERIES ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Asian Institute of Technology. |
| Title of a work | Thesis ; |
| Volume/sequential designation | no. ST-25-02 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Full-Text |
| Uniform Resource Identifier | <a href="http://203.159.5.9/ait-thesis/Viewer/viewer.php?id=B23403">http://203.159.5.9/ait-thesis/Viewer/viewer.php?id=B23403</a> |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) | |
| a | .b12473947 |
| b | mnarc |
| c | a |
| 902 ## - LOCAL DATA ELEMENT B, LDB (RLIN) | |
| a | 260209 |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| Operator's initials, OID (RLIN) | 0 |
| Cataloger's initials, CIN (RLIN) | 260203 |
| First date, FD (RLIN) | m |
| -- | h |
| -- | a |
| -- | 0 |
| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnarc |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 67-Electronic Resource |
| 909 ## - LOCAL ITEMS USED | |
| Barcode | Barcode : - |
| CREATED | CREATED : 2026-02-02 |
| RECORD Id | RECORD # : i13570559 |
| LPATRON | LPATRON : 0 |
| LCHKIN | LCHKIN : - |
| RENEWALS | # RENEWALS : 0 |
| -- | # OVERDUE : 0 |
| -- | IUSE3 : 0 |
| -- | TOT CHKOUT : 0 |
| -- | TOT RENEW : 0 |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 17/08/2026 | AIT Thesis no.ST-25-02 | 17/08/2026 | 1 | 17/08/2026 | 67-Electronic Resource |