Abstract
In order to better evaluate the monitoring risk of deep excavation, an assessment model based on fuzzy theory was established by combining the uncertainty and membership degree of evaluation indexes with the fuzziness of experts’ comments. Firstly, considering the risk sources as evaluation indexes, the monitoring risk evaluation system for deep excavation was establish, and the risk evaluation function was constructed. Secondly, the risk assessment model based on fuzzy theory was put forward, analytic hierarchy process was used to determine the weight of evaluation indexes, and expert evaluation weight was introduced to correct the evaluation function. Finally, comprehensive risk grade in deep excavation was obtained and the risk decisions were put forward by calculating the value of modified evaluation function. Through the application of the monitoring risk assessment model in the deep excavation of World Trade Group, the results are in accordance with the engineering practice. The results suggest that the model based on fuzzy theory is efficient for evaluating the monitoring risks and can be used in the application of deep excavation evaluation. Meanwhile, the applicability and accuracy of the assessment model are verified.
Get full access to this article
View all access options for this article.
References
Supplementary Material
Please find the following supplemental material available below.
For Open Access articles published under a Creative Commons License, all supplemental material carries the same license as the article it is associated with.
For non-Open Access articles published, all supplemental material carries a non-exclusive license, and permission requests for re-use of supplemental material or any part of supplemental material shall be sent directly to the copyright owner as specified in the copyright notice associated with the article.
