Structural Safety Evaluation of In-Service Tunnels Using an Adaptive Neuro-Fuzzy Inference System
Publication: Journal of Aerospace Engineering
Volume 31, Issue 5
Abstract
This study investigated structural safety evaluation of in-service tunnels. Considering the factors that affect the safety of in-service tunnels, the indices and grading standards for structural safety evaluations of concrete tunnels were first introduced. Subsequently, a safety evaluation system was established based on an adaptive neuro-fuzzy inference system (ANFIS). Taking a concrete tunnel as an example, according to structural characteristics of the tunnel and a Chinese specification, the indices and grading standards for the structural safety evaluation of the tunnel were determined, and a safety evaluation system for the tunnel was established. In the safety evaluation system, the effect of data size on the training results of the system was analyzed based on the theory of statistics and the Delphi method that are used for data inspection. The results show that the evaluation system has good learning and application ability. By using the field measured data of an in-service tunnel, after learning, the system can effectively imitate experts to do nonlinear fuzzy inference.
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Information
Published In
Journal of Aerospace Engineering
Volume 31 • Issue 5 • September 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Oct 4, 2017
Accepted: Mar 1, 2018
Published online: Jun 27, 2018
Published in print: Sep 1, 2018
Discussion open until: Nov 27, 2018
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