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contributor authorZhu, Xueying
contributor authorMa, Jun
contributor authorChen, Weiwei
contributor authorTan, Yi
date accessioned2026-08-20T10:43:21Z
date available2026-08-20T10:43:21Z
date copyright2026/04/14
date issued2026
identifier otherJCEMD4.COENG-17659.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311172
description abstractAbstractThe process of querying building codes has long been time-consuming and labor-intensive, requiring extensive manual effort to repeatedly consult and confirm regulations throughout design and review phases. Existing regulation query systems are ...Practical ApplicationsThis research introduces an artificial intelligence (AI)-powered system that fundamentally transforms how architects, engineers, and building officials navigate complex building code compliance during design and approval processes. ...
publisherAmerican Society of Civil Engineers
titleLLM-QueryBC: An LLM-Based Regulation Query System for Textual and Tabular Information in Building Codes
typeJournal Article
journal volume152
journal issue6
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/JCEMD4.COENG-17659
journal fristpage04026075-1
journal lastpage04026075-22
page22
treeJournal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 006
contenttypeFulltext


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