An Improved Method for Earthquake Damage Prediction of Highway Subgrade and Pavement Based on Closeness Degree Method

Jia Lee; Junqi Lin; Jinlong Liu

doi:doi:10.11648/j.ajce.20180604.12

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An Improved Method for Earthquake Damage Prediction of Highway Subgrade and Pavement Based on Closeness Degree Method

Jia Lee, Junqi Lin, Jinlong Liu

Published in American Journal of Civil Engineering (Volume 6, Issue 4)

Received: 16 September 2018 Published: 18 September 2018

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Abstract

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.

Published in	American Journal of Civil Engineering (Volume 6, Issue 4)
DOI	10.11648/j.ajce.20180604.12
Page(s)	118-122
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Lifeline Systems, Highway System, Earthquake Damage Estimation, Closeness Degree, Fuzzy Recognition

References

[1]	Yi-ping Chen, Xin Chen, Seismic damage prediction of subgrade and pavement, J, Earthquake Resistant Engineering. 3 (1993) 010.
[2]	Xu Wei, Highway damage in California earthquake, United States, J, China Civil Engineering Journal. 2 (1992) 012.
[3]	Jinsong Jiang, ‘5.12’ Wenchuan earthquake Sichuan highway damage and Enlightenment, J, Hubei road traffic science and technology. 3 (2008) 024.
[4]	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.
[5]	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.
[6]	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.
[7]	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.
[8]	Chen Tuyun, Liu Xihui, Study on the concept of earthquake damage grade by fuzzy partition, J, South China Journal of Seismology. 4 (1984).
[9]	Xie Jijian, Liu Chengping, Fuzzy mathematics method and its application, Huazhong University of Science and Technology Press. Wuhan, China, 2015.
[10]	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.
[11]	Classification of earthquake damage to lifeline engineering (GB/T24336-2009).
[12]	China Earthquake Intensity Table (GB/T 17742-2008).

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APA Style

Jia Lee, Junqi Lin, Jinlong Liu. (2018). An Improved Method for Earthquake Damage Prediction of Highway Subgrade and Pavement Based on Closeness Degree Method. American Journal of Civil Engineering, 6(4), 118-122. https://doi.org/10.11648/j.ajce.20180604.12

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ACS Style

Jia Lee; Junqi Lin; Jinlong Liu. An Improved Method for Earthquake Damage Prediction of Highway Subgrade and Pavement Based on Closeness Degree Method. Am. J. Civ. Eng. 2018, 6(4), 118-122. doi: 10.11648/j.ajce.20180604.12

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AMA Style

Jia Lee, Junqi Lin, Jinlong Liu. An Improved Method for Earthquake Damage Prediction of Highway Subgrade and Pavement Based on Closeness Degree Method. Am J Civ Eng. 2018;6(4):118-122. doi: 10.11648/j.ajce.20180604.12

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@article{10.11648/j.ajce.20180604.12,
  author = {Jia Lee and Junqi Lin and Jinlong Liu},
  title = {An Improved Method for Earthquake Damage Prediction of Highway Subgrade and Pavement Based on Closeness Degree Method},
  journal = {American Journal of Civil Engineering},
  volume = {6},
  number = {4},
  pages = {118-122},
  doi = {10.11648/j.ajce.20180604.12},
  url = {https://doi.org/10.11648/j.ajce.20180604.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20180604.12},
  abstract = {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.},
 year = {2018}
}

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TY  - JOUR
T1  - An Improved Method for Earthquake Damage Prediction of Highway Subgrade and Pavement Based on Closeness Degree Method
AU  - Jia Lee
AU  - Junqi Lin
AU  - Jinlong Liu
Y1  - 2018/09/18
PY  - 2018
N1  - https://doi.org/10.11648/j.ajce.20180604.12
DO  - 10.11648/j.ajce.20180604.12
T2  - American Journal of Civil Engineering
JF  - American Journal of Civil Engineering
JO  - American Journal of Civil Engineering
SP  - 118
EP  - 122
PB  - Science Publishing Group
SN  - 2330-8737
UR  - https://doi.org/10.11648/j.ajce.20180604.12
AB  - 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.
VL  - 6
IS  - 4
ER  -

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Author Information

Jia Lee

Institute of Engineering Mechanics, China Earthquake Administration, Harbin, China
Junqi Lin

Institute of Engineering Mechanics, China Earthquake Administration, Harbin, China
Jinlong Liu

Institute of Engineering Mechanics, China Earthquake Administration, Harbin, China

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Plain Text BibTeX RIS

APA Style

Jia Lee, Junqi Lin, Jinlong Liu. (2018). An Improved Method for Earthquake Damage Prediction of Highway Subgrade and Pavement Based on Closeness Degree Method. American Journal of Civil Engineering, 6(4), 118-122. https://doi.org/10.11648/j.ajce.20180604.12

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ACS Style

Jia Lee; Junqi Lin; Jinlong Liu. An Improved Method for Earthquake Damage Prediction of Highway Subgrade and Pavement Based on Closeness Degree Method. Am. J. Civ. Eng. 2018, 6(4), 118-122. doi: 10.11648/j.ajce.20180604.12

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AMA Style

Jia Lee, Junqi Lin, Jinlong Liu. An Improved Method for Earthquake Damage Prediction of Highway Subgrade and Pavement Based on Closeness Degree Method. Am J Civ Eng. 2018;6(4):118-122. doi: 10.11648/j.ajce.20180604.12

Copy | Download

@article{10.11648/j.ajce.20180604.12,
  author = {Jia Lee and Junqi Lin and Jinlong Liu},
  title = {An Improved Method for Earthquake Damage Prediction of Highway Subgrade and Pavement Based on Closeness Degree Method},
  journal = {American Journal of Civil Engineering},
  volume = {6},
  number = {4},
  pages = {118-122},
  doi = {10.11648/j.ajce.20180604.12},
  url = {https://doi.org/10.11648/j.ajce.20180604.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20180604.12},
  abstract = {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.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - An Improved Method for Earthquake Damage Prediction of Highway Subgrade and Pavement Based on Closeness Degree Method
AU  - Jia Lee
AU  - Junqi Lin
AU  - Jinlong Liu
Y1  - 2018/09/18
PY  - 2018
N1  - https://doi.org/10.11648/j.ajce.20180604.12
DO  - 10.11648/j.ajce.20180604.12
T2  - American Journal of Civil Engineering
JF  - American Journal of Civil Engineering
JO  - American Journal of Civil Engineering
SP  - 118
EP  - 122
PB  - Science Publishing Group
SN  - 2330-8737
UR  - https://doi.org/10.11648/j.ajce.20180604.12
AB  - 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.
VL  - 6
IS  - 4
ER  -

Copy | Download