Abstract
In earth pressure balance (EPB) shield construction, the “plastic flow state” is difficult to form using the soil dug in the capsule because it can cause three abnormal operating conditions, including occlusion, caking in the capsule, and spewing at the outlet of the dump device. These abnormal operating conditions can, in turn, trigger failure in tunneling, cutter-device damage, and even catastrophic incidents, such as ground settlement. This present paper effectively integrates the mechanism of abnormal operating conditions and knowledge of soil conditioning, and establishes a uniform model of identifying abnormal conditions and intelligent decision support system based on the belief rule-base system. The model maximizes knowledge in improving the soil, construction experience, and data to optimize the model online. Finally, a numerical simulation with specific construction data is presented to illustrate the effectiveness of the algorithm.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Liu R P. Review of earth pressure balance shield. Modern Tunneling Technology, 2000, 1: 1–7
Zhang M J. Study on the mechanism and curing method of blocking in epbs. Dissertation for the Masteral Degree. Nanjing: Hohai University, 2004 (in Chinese)
Zhu W, Qin J S, Wei K L. Research on the mechanism of the spewing in the epb shield tunneling. Chinese Journal of Geotechnical Engineering, 2004, (5): 589–593 (in Chinese)
Zhou Z J, Hu C H, Yang J B, Xu D L, Zhou D H. Online updating belief-rule-based system for pipeline leak detection under expert intervention. Expert Systems with Applications, 2009, 36(4): 7700–7709
Liu J, Yang J B, Ruan D, Martinez L, Wang J. Self-tuning of fuzzy belief rule bases for engineering system safety analysis. Annals of Operations Research, 2008, 163(4): 143–168
Guo M, Yang J B, Chin K S, Wang H W. Evidential reasoning based preference programming for multiple attribute decision analysis under uncertainty. European Journal of Operational Research, 2007, 182(3): 1294–1312
Yang J B, Liu J, Xu D L, Wang J, WANG H W. Optimization models for training belief-rule-based systems. Systems, Man and Cybernetics, 2007, 37(4): 569–585
Yang J B, Liu J, Wang J, Sii How-Sing, Wang H W. Belief rule-base inference methodology using the evidential reasoning approachrimer. Systems, Man and Cybernetics, 2006, 36(2): 266–285
Liu J, Ruan D, Yang J B, Lopez L M. Self-tuning fuzzy rule bases with belief structure. Studies in Computational Intelligence, 2005, 5: 419–437 (in Chinese)
Yang J B, Sen P. A general multi-level evaluation process for hybrid madm with uncertainty. Systems, Man and Cybernetics, 1994, 24(10): 1458–1473
Yang J B. Rule and utility based evidential reasoning approach for multiple attribute decision analysis under uncertainty. European Journal of Operational Research, 2001, 131(1): 31–61
Zhu W, Lin J. Study on reduction of cutterhead torque in epb shield with soil conditioning. Dissertation for the Masteral Degree. Nanjing: Hohai University, 2006 (in Chinese)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Li, X., Jiang, J., Su, H. et al. Identification of abnormal operating conditions and intelligent decision system. Front. Mech. Eng. 6, 456–462 (2011). https://doi.org/10.1007/s11465-011-0224-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11465-011-0224-0