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한국지반공학회 / v.16, no.6, 2000년, pp.127-139
터널 시공 중 보강공법 선전용 퍼지 전문가 시스템 개발
( Development of the Fuzzy Expert System for the Reinforcement of Tunels during Construction )
김창용;박치현;배규진;홍성완;오명렬; 한국건설기술연구원;한국건설기술연구원 연구원;한국건설기술연구원 수석연구원;한국건설기술연구원 연구원위원;삼성물산(주) 건설부문 토목공사팀 팀장;
 
초 록
In the study, an expert system was developed to predict the safety of tunnel and select proper tunnel reinforcement system using fuzzy quantification theory and fuzzy inference rule based on tunnel information database, For this development, many tunnelling sites were investigated and the applied countermeasures were studied after building tunnel database. There will be benefit for the deciding tunnel reinforcement method in the case of poor ground condition. The expert system developed in the study has two main parts, pre-module and post-module. Pre-module is used to decide input items of tunnel information based on the tunnel face mapping information which can be easily obtained in in-situ site. Then, using fuzzy quantification theory II, fuzzy membership function is composed and tunnel safety level is inferred through this membership function. Post-module is used to infer the applicability of each reinforcement methods according to the face level. The result of the predicted reinforcement system level was similar to measured ones. In-situ data were obtained in three tunnel sites including subway tunnel under Han River. Therefore, this system will be helpful to make the mose of in-situ data available and suggest proper applicability of tunnel reinforcement system to development more resonable tunnel support method without dependance of some experienced experts opinions.
 
키워드
Expert system;Fuzzy theory;Tunnel reinforcement;Tunnel construction;Safety evaluation;
 
한국지반공학회논문집 / v.16, no.6, 2000년, pp.127-139
한국지반공학회
ISSN : 1229-2427
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200011920783012)
언어 : 한국어
논문 제공 : KISTI 한국과학기술정보연구원
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