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논문
DESIGN ASSISTANT FOR EXCAVATION SUPPORT SYSTEM IN LARGE CONSTRUCTION PROJECT
연도
5차
분류
구성기술2
연구기관
연세대학교
Yonsei University
구분2
학술발표
논문명
DESIGN ASSISTANT FOR EXCAVATION SUPPORT SYSTEM IN LARGE CONSTRUCTION PROJECT
DESIGN ASSISTANT FOR EXCAVATION SUPPORT SYSTEM IN LARGE CONSTRUCTION PROJECT
학술지명

CIB W78
ISSN
학술지 볼륨번호
게재일
2025.07.14
논문페이지
1-8
주저자명
노현성
Hyunseong Roh
교신저자명
이강
Ghang Lee
공동저자명

논문 초록

Previous expert systems for excavation support system
(ESS) recommendations often overlooked lateral supports
and water-barrier methods, limiting their applicability to
small projects with a single retaining wall type. These
methods were unsuitable for large-scale projects, where
varying site conditions require different ESS
configurations for each excavation side. This study
proposes an ESS design assistant tailored for large
construction projects. While LLMs like GPT-4.0 and
DeepSeek show promise, they struggle with practical ESS
recommendations. To address this, we developed a multi
step machine learning-based ESS recommendation
system, achieving weighted F1 scores of 0.951 (retaining
walls), 0.981 (water-barrier applications), and 0.831
(lateral supports).
첨부파일
DESIGN ASSISTANT FOR EXCAVATION SUPPORT SYSTEM IN LARGE .pdf
목록