Artificial Intelligence-Assisted Building Information Modelling

Muhammad Abubakar Tariq, Shiraz Ahmed, Erum Aamir, Fahad Iqbal, Muhammad Noman

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

Building information modeling gained popularity and recognition in the 2000s, making the building process productive, saving time and money, and improving collaboration. Though the building sector took some time to adopt new technology, when utilized correctly, technology can significantly boost productivity in the conventional construction industry. While BIM has significantly advanced building activities, artificial intelligence contributed by applying machine learning to increase efficiency. Since the advent of artificial intelligence for computer-aided design in the 1970s, technology has improved substantially. Numerous technical advancements are based on machine learning algorithms, propelling AI to the top of the BIM list. Presently different techniques rely primarily on human ability; these advancements and innovations are critical in the construction business. AI can be used to streamline these operations, saving costs, delays, and hazards while improving project output quality.

Original languageEnglish
Title of host publicationArtificial Intelligence and Machine Learning Techniques for Civil Engineering
PublisherIGI Global
Pages1-18
Number of pages18
ISBN (Electronic)9781668456446
ISBN (Print)9781668456439
DOIs
Publication statusPublished - 1 Jan 2023
Externally publishedYes

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