IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v71y2014i3p2101-2112.html
   My bibliography  Save this article

Seismic liquefaction potential assessed by fuzzy comprehensive evaluation method

Author

Listed:
  • Xinhua Xue
  • Xingguo Yang

Abstract

Liquefaction of loose, saturated granular soils during earthquakes poses a major hazard in many regions of the world. The determination of liquefaction potential of soils induced by earthquake is a major concern and an essential criterion in the design process of the civil engineering structures. A large number of factors that affect the occurrence of liquefaction during earthquake exist a form of uncertainty of non-statistical nature. Fuzzy systems are used to handle uncertainty from the data that cannot be handled by classical methods. It uses the fuzzy set to represent a suitable mathematical tool for modeling of imprecision and vagueness. The pattern classification of fuzzy classifiers provides a means to extract fuzzy rules for information mining that leads to comprehensible method for knowledge extraction from various information sources. Therefore, it is necessary to handle the soil liquefaction problem in a rational framework of fuzzy set theory. This study investigates the feasibility of using fuzzy comprehensive evaluation model for predicting soil liquefaction during earthquake. In the fuzzy comprehensive evaluation model of soil liquefaction, the following factors, such as earthquake intensity, standard penetration number, mean diameter and groundwater table, are selected as the evaluating indices. The results show that the method is a useful tool to assess the potential of soil liquefaction. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Xinhua Xue & Xingguo Yang, 2014. "Seismic liquefaction potential assessed by fuzzy comprehensive evaluation method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 2101-2112, April.
    • Handle: RePEc:spr:nathaz:v:71:y:2014:i:3:p:2101-2112
    DOI: 10.1007/s11069-013-0997-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-013-0997-z
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11069-013-0997-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xinhua Xue & Xingguo Yang, 2013. "Application of the adaptive neuro-fuzzy inference system for prediction of soil liquefaction," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 67(2), pages 901-917, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chengguang Lai & Xiaohong Chen & Zhaoli Wang & Haijun Yu & Xiaoyan Bai, 2020. "Flood Risk Assessment and Regionalization from Past and Future Perspectives at Basin Scale," Risk Analysis, John Wiley & Sons, vol. 40(7), pages 1399-1417, July.
    2. Weixing Lin & Changqiao Hong & Yinkang Zhou, 2020. "Multi-Scale Evaluation of Suzhou City’s Sustainable Development Level Based on the Sustainable Development Goals Framework," Sustainability, MDPI, vol. 12(3), pages 1-28, January.
    3. Blake Walker & Cameron Taylor-Noonan & Alan Tabbernor & T’Brenn McKinnon & Harsimran Bal & Dan Bradley & Nadine Schuurman & John Clague, 2014. "A multi-criteria evaluation model of earthquake vulnerability in Victoria, British Columbia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(2), pages 1209-1222, November.
    4. Chengguang Lai & Xiaohong Chen & Xiaoyu Chen & Zhaoli Wang & Xushu Wu & Shiwei Zhao, 2015. "A fuzzy comprehensive evaluation model for flood risk based on the combination weight of game theory," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1243-1259, June.
    5. Miguel Jaimes & Mauro Niño & Eduardo Reinoso, 2015. "Regional map of earthquake-induced liquefaction hazard using the lateral spreading displacement index D LL," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(3), pages 1595-1618, July.
    6. Wei Jian & Shanshan Li & Chengguang Lai & Zhaoli Wang & Xiangju Cheng & Edmond Yat-Man Lo & Tso-Chien Pan, 2021. "Evaluating pluvial flood hazard for highly urbanised cities: a case study of the Pearl River Delta Region in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(2), pages 1691-1719, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. V. Kohestani & M. Hassanlourad & A. Ardakani, 2015. "Evaluation of liquefaction potential based on CPT data using random forest," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(2), pages 1079-1089, November.
    2. Xiwen Zhang & Xiaowei Tang & Ryosuke Uzuoka, 2015. "Numerical simulation of 3D liquefaction disasters using an automatic time stepping method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1275-1287, June.
    3. Abdullah Hulusi Kökçam & Caner Erden & Alparslan Serhat Demir & Talas Fikret Kurnaz, 2024. "Bibliometric analysis of artificial intelligence techniques for predicting soil liquefaction: insights and MCDM evaluation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(12), pages 11153-11181, September.
    4. Yong-gang Zhang & Junbo Qiu & Yan Zhang & Yongyao Wei, 2021. "The adoption of ELM to the prediction of soil liquefaction based on CPT," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(1), pages 539-549, May.
    5. Xuesong Zhang & Biao He & Mohanad Muayad Sabri Sabri & Mohammed Al-Bahrani & Dmitrii Vladimirovich Ulrikh, 2022. "Soil Liquefaction Prediction Based on Bayesian Optimization and Support Vector Machines," Sustainability, MDPI, vol. 14(19), pages 1-15, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:71:y:2014:i:3:p:2101-2112. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.