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Author:

Li, Bo (Li, Bo.) | Liu, Nian (Liu, Nian.) | Wang, Wei (Wang, Wei.) (Scholars:王伟)

Indexed by:

EI Scopus

Abstract:

We selected grey correlation and stepwise discriminant analyses as basic models, proposed a coupling discrimination method, and designed and established a coupling discriminant model of the foundation subsidence in soft soil areas to address the challenges in the discriminant analysis of the seismic subsidence grade of soft soil. In this model, samples for discrimination and reference samples were first analysed by indicator relations analysis. Seismic subsidence grades were ranked according to the correlation, and discriminant grades were screened. Finally, the seismic subsidence grades of the samples that met the criteria were confirmed with stepwise discriminant analysis. Actual sample data were calculated, and the discriminant results were compared and analysed with the traditional model to verify the applicability and accuracy of the coupling model. We obtained good evaluation results, which provided a new method for discriminant analysis of soft soil seismic subsidence grades. Copyright © 2021 Inderscience Enterprises Ltd.

Keyword:

Subsidence Soils Seismology Discriminant analysis

Author Community:

  • [ 1 ] [Li, Bo]Institute of Foundation Engineering, China Academy of Building Research Co., Ltd., Beijing; 100013, China
  • [ 2 ] [Li, Bo]National Engineering Research Center of Building Technology, Beijing; 100013, China
  • [ 3 ] [Liu, Nian]Institute of Foundation Engineering, China Academy of Building Research Co., Ltd., Beijing; 100013, China
  • [ 4 ] [Liu, Nian]National Engineering Research Center of Building Technology, Beijing; 100013, China
  • [ 5 ] [Wang, Wei]Institute of Earthquake Resistance and Disaster Reduction, Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

  • 王伟

    [wang, wei]institute of earthquake resistance and disaster reduction, beijing university of technology, beijing; 100124, china

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Source :

International Journal of Computational Science and Engineering

ISSN: 1742-7185

Year: 2021

Issue: 1

Volume: 24

Page: 55-63

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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