東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Architectural Design, BIM, and Artif...

Serrano Sala, Juan Jose,

Linked to FindBook

Google Book

Amazon

博客來

Architectural Design, BIM, and Artificial Intelligence: A Review of Rule-Based and Machine Learning Applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Architectural Design, BIM, and Artificial Intelligence: A Review of Rule-Based and Machine Learning Applications // Juan Jose Serrano Sala.
Author:	Serrano Sala, Juan Jose,
Description:	1 electronic resource (119 pages)
Notes:	Source: Masters Abstracts International, Volume: 86-12.
Contained By:	Masters Abstracts International86-12.
Subject:	Architectural engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32001263
ISBN:	9798280774957

Architectural Design, BIM, and Artificial Intelligence: A Review of Rule-Based and Machine Learning Applications /
Serrano Sala, Juan Jose,

Architectural Design, BIM, and Artificial Intelligence: A Review of Rule-Based and Machine Learning Applications /Juan Jose Serrano Sala. - 1 electronic resource (119 pages)

Source: Masters Abstracts International, Volume: 86-12.

Architectural design projects can reach high complexity, long lists of requirements and intricate architectural programs, require effective ways to assess and predict building performance. Building Information Modeling (BIM) has proven to be a valuable tool in improving the design process by offering a range of resources for managing geometric data and building performance. However, BIM's current limitations, particularly in terms of geometry and function representation and its ability to predict performance, hinder its full potential. In this context, Artificial Intelligence (AI) is presented as an opportunity to enhance BIM workflows. AI's capabilities in prediction, automation, and analysis have the potential to improve design processes, offering more accurate simulations and predictions. This research explores how AI can be integrated into BIM-supported architectural design by conducting a case study using early-stage design AI tools, specifically Autodesk Forma. The study examines how AI-powered design tools can assist in the creation of building designs that meet specific performance criteria, such as energy efficiency, sustainability, and compliance with local regulations. Through this case study, the research aims to provide insights into how AI is helping to refine the BIM design process and to uncover the potential of AI in overcoming BIM's limitations. Ultimately, the findings will highlight the growing role of AI in architecture and offer perspectives on its future integration into design workflows.

English

ISBN: 9798280774957Subjects--Topical Terms:

3174102
Architectural engineering.
Subjects--Index Terms:

Architectural design

Architectural Design, BIM, and Artificial Intelligence: A Review of Rule-Based and Machine Learning Applications /
LDR:03029nmm a22004213i 4500 001 2434598
005 20250912102049.5
006 m o d
007 cr|nu||||||||
008 261011s2025 miu||||||m |||||||eng d
020 $a 9798280774957
035 $a (MiAaPQD)AAI32001263
035 $a AAI32001263
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Serrano Sala, Juan Jose, $e author. $3 3824625
245 1 0 $a Architectural Design, BIM, and Artificial Intelligence: A Review of Rule-Based and Machine Learning Applications / $c Juan Jose Serrano Sala.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2025
300 $a 1 electronic resource (119 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 86-12.
500 $a Advisors: Cavieres Pinilla, Andres Committee members: Rodriguez Carrion, Awilda; Asabere Bediako Asare, Kofi.
502 $b M.S. $c University of Oklahoma - Graduate College $d 2025.
520 $a Architectural design projects can reach high complexity, long lists of requirements and intricate architectural programs, require effective ways to assess and predict building performance. Building Information Modeling (BIM) has proven to be a valuable tool in improving the design process by offering a range of resources for managing geometric data and building performance. However, BIM's current limitations, particularly in terms of geometry and function representation and its ability to predict performance, hinder its full potential. In this context, Artificial Intelligence (AI) is presented as an opportunity to enhance BIM workflows. AI's capabilities in prediction, automation, and analysis have the potential to improve design processes, offering more accurate simulations and predictions. This research explores how AI can be integrated into BIM-supported architectural design by conducting a case study using early-stage design AI tools, specifically Autodesk Forma. The study examines how AI-powered design tools can assist in the creation of building designs that meet specific performance criteria, such as energy efficiency, sustainability, and compliance with local regulations. Through this case study, the research aims to provide insights into how AI is helping to refine the BIM design process and to uncover the potential of AI in overcoming BIM's limitations. Ultimately, the findings will highlight the growing role of AI in architecture and offer perspectives on its future integration into design workflows.
546 $a English
590 $a School code: 2409
650 4 $a Architectural engineering. $3 3174102
653 $a Architectural design
653 $a Building Information Modeling
653 $a Machine learning
653 $a Building performance
690 $a 0729
690 $a 0462
690 $a 0800
710 2 $a University of Oklahoma - Graduate College. $b Architecture Division: Architecture. $e degree granting institution. $3 3824626
720 1 $a Cavieres Pinilla, Andres $e degree supervisor.
773 0 $t Masters Abstracts International $g 86-12.
790 $a 2409
791 $a M.S.
792 $a 2025
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32001263