2015
EMSS 2015 Proceeding
Supervisory FCM simulation in tunnel construction
Authors: Limao Zhang, A. J. Antony Chettupuzha, Seungjun Ahn, Stephen Hague, Chrysostomos D. Stylios, Simaan M. AbouRizk
Abstract
This paper presents a Fuzzy Cognitive Map (FCM) approach for controlling the Tunnel Boring Machine (TBM) operation in tunnel construction. The fuzzy logic based approach is used to capture the construction experience and knowledge from domain experts in creating FCMs. A supervisory FCM model is developed to represent the cause-effect relationships among the variables involved in the operation of a TBM. The developed model can be used to test what-if scenarios and to perform a real-time control of operational variables in response to the changing environment. A tunneling project in China is used as an example case study to demonstrate the applicability of the developed approach. This example case study shows that the TBM performance is influenced by a variety of geological and operational variables, and that FCMs can provide guidance on adjusting operational parameters in tunnel construction. The proposed approach can be used as a decision support tool for ensuring satisfactory performance of TBMs, and thus increases efficiency of tunnel construction projects.
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