Random Seismic Response and Dynamic Fuzzy Reliability Analysis of Bedding Rock Slopes Based on Pseudoexcitation Method
Publication: International Journal of Geomechanics
Volume 18, Issue 3
Abstract
Seismic ground motion is a dynamic random process, and it has obvious random uncertainty. The traditional reliability analysis of bedding rock slopes under earthquake excitation is usually based on pseudostatic method and dynamic time-history analysis method, both of which ignore the random nature of earthquake excitation. Furthermore, the existing power spectral density (PSD) method for seismic response can consider the random nature of seismic activity using finite element software, but the process of calculation is time-consuming and laborious, and the calculated response results are difficult to use directly in seismic reliability analyses of slopes. This paper presents a fast algorithm for the random seismic response of bedding rock slopes using the pseudoexcitation method. Based on the calculated results, a calculation method for a dynamic fuzzy degree of reliability of bedding rock slopes under random earthquake excitation is presented using the first-excursion failure criterion, taking into account uncertainties in the strength parameters and structural limit states. A comparison with the existing method is performed to verify the proposed fast algorithm. Then, the effectiveness of this proposed calculation method is studied by comparison with a general method. A further sensitivity analysis is presented to reveal the influences of seismic ground motion parameters and fuzzy uncertainties (in strength parameters and structural limit state) on the reliability of bedding rock slopes.
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Acknowledgments
This work was supported by the Natural Science Foundation of China (Grant 51278217) and the Graduate Innovation and Entrepreneurship Project of Huazhong University of Science & Technology, China (Grant 0118650010).
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© 2017 American Society of Civil Engineers.
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Received: Aug 17, 2016
Accepted: Sep 12, 2017
Published online: Dec 29, 2017
Published in print: Mar 1, 2018
Discussion open until: May 29, 2018
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