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DEA optimization for operating tunnel back analysis
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 Title & Authors
DEA optimization for operating tunnel back analysis
An, Joon-Sang; Kim, Byung-Chan; Moon, Hyun-Koo; Song, Ki-Il; Su, Guo-Shao;
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 Abstract
Estimation of the stability of an operating tunnel through a back analysis is a difficult concept to analyze. Specially, when a relatively thick lining is constructed as in case of a subsea tunnel, there will be a limit to the use of displacement-based tunnel back analysis because the corresponding displacement is too small. In this study, DEA is adopted for tunnel back analysis and the feasibility of DEA for back analysis is evaluated. It is implemented in the finite difference code FLAC3D using its built-in FISH language. In addition, the stability of a tunnel lining will be evaluated from the development of displacement-based algorithm and its expanded algorithm with conformity of several parameters such as stress measurements.
 Keywords
Differential Evolution Algorithm(DEA) Optimization;Back Analysis;FLAC3D;Operating Tunnel;
 Language
Korean
 Cited by
1.
지반 및 라이닝 열화 계측 정보를 반영한 해저 터널의 안정성 평가,안준상;김병찬;문현구;송기일;

한국터널지하공간학회 논문집, 2016. vol.18. 5, pp.389-399 crossref(new window)
2.
운영 중 해저 터널의 안정성 평가를 위한 역해석 프로그램 개발: 종단방향,안준상;김병찬;문현구;송기일;

한국터널지하공간학회 논문집, 2016. vol.18. 6, pp.545-556 crossref(new window)
3.
터널 갱구사면 쏘일네일링 보강배치계획을 위한 최적화기법 연구,김병찬;문현구;

한국터널지하공간학회 논문집, 2016. vol.18. 6, pp.569-579 crossref(new window)
1.
Estimation of subsea tunnel stability considering ground and lining stiffness degradation measurements, Journal of Korean Tunnelling and Underground Space Association, 2016, 18, 5, 389  crossref(new windwow)
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