Browse > Article

Grout Injection Control using AI Methodology  

Lee Chung-In (서울대학교 지구환경시스템공학부)
Jeong Yun-Young (서울대학교 지구환경시스템공학부 BK21사업단)
Publication Information
Tunnel and Underground Space / v.14, no.6, 2004 , pp. 399-410 More about this Journal
Abstract
The utilization of AS(Artificial Intelligence) and Database could be considered as an useful access for the application of underground information from the point of a geotechnical methodology. Its detailed usage has been recently studied in many fields of geo-sciences. In this paper, the target of usage is on controlling the injection of grout which more scientific access is needed in the grouting that has been used a major method in many engineering application. As the proposals for this problem it is suggested the methodology consisting of a fuzzy-neural hybrid system and a database. The database was firstly constructed for parameters dynamically varied according to the conditions of rock mass during the injection of grout. And then the conceptional model for the fuzzy-neural hybrid system was investigated fer optimally finding the controlling range of the grout valve. The investigated model applied to four cases, and it is found that the controlling range of the grout valve was reasonably deduced corresponding to the mechanical phenomena occurred by the injection of grout. Consequently, the algorithm organizing the fuzzy-neural hybrid system and the database as a system can be considered as a tool for controlling the injection condition of grout.
Keywords
Fuzzy-neural hybrid system; Database; Fuzzy interference system; Artificial neural network; Fuzzy logic; Fuzzy set; Membership function; Grout valve;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Shroff, A.V. and Shah, D.L., 1999, Grouting Technology in Tunneling and Dam construction, A.A. Balkema, Rotterdam, 398-416
2 Xanthakos, P.P., Abramson, L.W. and Bruce, D.A., 1994, Ground control and improvement, John Wiley & Sons, Singapore, 186-679
3 Jeong, Yun-Young, Hideki Shimada and Kikuo Matsui, 2002, An analysis on grout injection using neural networks. In Proceedings of 2002 ISRM Regional Symposium, Seoul, Korea, Vol. 2, 833-839
4 Elman, Jeffrey L., 1990, Finding structure in Time. Cognitive Science, Vol. 14, 179-211   DOI   ScienceOn
5 Lin, Chin-Teng and George Lee, C.S., 1996, Neural Fuzzy Systems, Prentice-Hall, New Jersey, 478-608
6 Zadeh, Lotfi A., 1999, The Fuzzy Systems Handbook 2ed., Earl Cox, San Diego., 269-486
7 Russell, S. and Norvig, P., 1995, Artificial Intelligence; A Modern Approach, Prentice-Hall, New Jersey, 1-52
8 Kutzner, C., 1996, Grouting of rock and soil, A.A. Balkema, Rotterdam, 52-255