Technical Papers
Sep 4, 2019

Fractal Characteristics and Failure Analysis of Geomechanical Model for Arch Dam Based on Acoustic Emission Technique

Publication: International Journal of Geomechanics
Volume 19, Issue 11

Abstract

The acoustic emission (AE) technique is a significant way to study cracking and failure processes in the arch dam geomechanical model test. A failure analysis method based on AE signal fractal characteristics is presented. First, uniaxial tests were conducted on cylindrical specimens made of similitude material used in model masonry. The experiment indicated that AE fractal characteristics can be used to analyze failure processes that are similar to those of rock specimens. Then, the AE technique was introduced into the geomechanical model test. The fractal characteristic of the AE time series during the overload process was analyzed. When the overload factor K changed, the variation of the correlation dimension was combined with the failure mode of the arch dam to summarize the relationship between the failure process and fractal characteristics. The result indicated that the fractal characteristics changed sharply as large-scale cracks occurred or the stress state altered for the model. AE fractal characteristics can be a criterion to evaluate the overall safety of the dam. Changes in the fractal dimension are precursors to arch dam cracking and failure.

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Acknowledgments

This research was supported by the National Basic Research Program of China with grant 2015CB057904, the National Natural Science Foundation of China under project 51479097, and the State Key Laboratory of Hydroscience and Hydraulic Engineering under grant 2019-KY-03.

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Go to International Journal of Geomechanics
International Journal of Geomechanics
Volume 19Issue 11November 2019

History

Received: Nov 29, 2018
Accepted: Apr 10, 2019
Published online: Sep 4, 2019
Published in print: Nov 1, 2019
Discussion open until: Feb 4, 2020

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Ying Zhang
Ph.D. Student, State Key Laboratory of Hydroscience and Hydraulic Engineering, Tsinghua Univ., Beijing 100084, China.
Professor, State Key Laboratory of Hydroscience and Hydraulic Engineering, Tsinghua Univ., Beijing 100084, China (corresponding author). ORCID: https://orcid.org/0000-0001-6703-6604. Email: [email protected]
Zhuofu Tao
Ph.D. Student, State Key Laboratory of Hydroscience and Hydraulic Engineering, Tsinghua Univ., Beijing 100084, China.
Haowen Zhou
Assistant Engineer, China 19th Metallurgical Corporation, Chengdu 610031, China.
Qiang Yang
Professor, State Key Laboratory of Hydroscience and Hydraulic Engineering, Tsinghua Univ., Beijing 100084, China.

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