An Improved Method for Earthquake Damage Prediction of Highway Subgrade and Pavement Based on Closeness Degree Method
American Journal of Civil Engineering
Volume 6, Issue 4, July 2018, Pages: 118-122
Received: Sep. 16, 2018;
Published: Sep. 18, 2018
Views 223 Downloads 47
Jia Lee, Institute of Engineering Mechanics, China Earthquake Administration, Harbin, China; Key Laboratory of Earthquake Engineering and Engineering Vibration of China Earthquake Administration, Harbin, China
Junqi Lin, Institute of Engineering Mechanics, China Earthquake Administration, Harbin, China; Key Laboratory of Earthquake Engineering and Engineering Vibration of China Earthquake Administration, Harbin, China
Jinlong Liu, Institute of Engineering Mechanics, China Earthquake Administration, Harbin, China; Key Laboratory of Earthquake Engineering and Engineering Vibration of China Earthquake Administration, Harbin, China
Follow on us
In this article, based on the earthquake damage data of ‘5.12’ Wenchuan Earthquake and the improved method of earthquake damage prediction of highway subgrade and pavement which is obtained by using nonlinear regression method, a new method using closeness degree is given. This new method uses fuzzy recognition to determine the earthquake damage level of certain road section. In order to conduct fuzzy recognition, the membership function of the fuzzy set of the damage grade is also given, after conducting fuzzy recognition for membership function of earthquake damage using closeness degree method, the earthquake damage prediction results of corresponding road sections will be obtained. Finally, an example is given based on the data of earthquake damage in Wenchuan earthquake. The results of the example show that this new method of earthquake damage prediction using closeness degree indeed has higher accuracy, which proves it another effective and practical method for earthquake damage prediction of highway pavement and subgrade. This method also provides a reference for future research on related projects.
Lifeline Systems, Highway System, Earthquake Damage Estimation, Closeness Degree, Fuzzy Recognition
To cite this article
An Improved Method for Earthquake Damage Prediction of Highway Subgrade and Pavement Based on Closeness Degree Method, American Journal of Civil Engineering.
Vol. 6, No. 4,
2018, pp. 118-122.
Yi-ping Chen, Xin Chen, Seismic damage prediction of subgrade and pavement, J, Earthquake Resistant Engineering. 3 (1993) 010.
Xu Wei, Highway damage in California earthquake, United States, J, China Civil Engineering Journal. 2 (1992) 012.
Jinsong Jiang, ‘5.12’ Wenchuan earthquake Sichuan highway damage and Enlightenment, J, Hubei road traffic science and technology. 3 (2008) 024.
Stefan Unterrader and Sven Fuchs. Quantifying rockfall risk on roads in the Port Hills, Christchurch, New Zealand. Geophysical Research Abstracts Vol. 18, EGU2016-5, 2016.
LIU Jinlong et al., Investigation and analysis of seismic damage of highway system in Lushan “4.20” earthquake, J, Journal of Natural Disasters. 3 (2013) 022.
JIA Xingli, XU Jinliang, Cloud Model-based Seismic Risk Assessment of Road in Earthquake Region, J, Journal of Tongji University (Natural Science). 9 (2014) 042.
Heng Hu, Junqi Lin, and Jinlong Liu. Improved Methodology for Seismic Estimation of Highway Based on Wenchuan Earthquake. 2018 International Conference on Modeling, Simulation and Optimization. 2018.
Chen Tuyun, Liu Xihui, Study on the concept of earthquake damage grade by fuzzy partition, J, South China Journal of Seismology. 4 (1984).
Xie Jijian, Liu Chengping, Fuzzy mathematics method and its application, Huazhong University of Science and Technology Press. Wuhan, China, 2015.
Yoshihisa Maruyama, Fumio Yamazaki, Fragility curves for expressway embankments based on damage datasets after recent earthquakes in Japan, J. Soil Dynamics and Earthquake Engineering, 30(2010) 1158-1167.
Classification of earthquake damage to lifeline engineering (GB/T24336-2009).
China Earthquake Intensity Table (GB/T 17742-2008).