Skip to main content
Top

2022 | OriginalPaper | Chapter

Ranking Method for Strong Ground Motion Based on Dynamic Response of Underground Structures

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

It is well known that different input ground motions result to significantly different underground structural response. Hence, rational selection of input Intensity Measures (IMs) is the basis for accurate seismic design of underground structures. In order to find out the most destructive ground motion for seismic design of underground structures, a ranking method for strong ground motions was presented to get their failure potential sequence which may result to maximum structural response of underground structures against ground motion excitations. In this paper, dynamic time-history analyses under a ground motion cluster were carried out on a typical subway station structure in Class IV site. In the analysis, the general finite element code ABAQUS was used to set up a refined numerical modeling, 64 real ground motion records were selected as seismic wave input, and 12 IMs of 3 groups were selected as original IMs. The moment, shear, axial force of central columns and relative displacement of central column of a subway station structure was used as the Structural Response Parameters (SRPs). Based on the Partial Least Squares (PLS) regression method, a series of composite IMs were developed and investigated. The results show that the composite IMs constructed by PLS regression method have better efficiency. This method can be used to rank the design input ground motion according to the degree of SRPs, which represents the failure potential of structure, and the results can provide a reference for the selection of input ground motions for seismic design of underground structures.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Xie, L.L., Zhai, C.H.: Study on the severest real ground motion for seismic design and analysis. Acta Seismol. Sin. 16(3), 260–271 (2003) (in Chinese) Xie, L.L., Zhai, C.H.: Study on the severest real ground motion for seismic design and analysis. Acta Seismol. Sin. 16(3), 260–271 (2003) (in Chinese)
2.
go back to reference Hariri-Ardebili, M., Saouma, V.: Probabilistic seismic demand model and optimal intensity measure for concrete dams. Struct. Saf. 59, 67–85 (2016)CrossRef Hariri-Ardebili, M., Saouma, V.: Probabilistic seismic demand model and optimal intensity measure for concrete dams. Struct. Saf. 59, 67–85 (2016)CrossRef
3.
go back to reference Qian, J., Dong, Y.: Multi-criteria decision making for seismic intensity measure selection considering uncertainty. Earthquake Eng. Struct. Dynam. 49(11), 1095–1114 (2020)CrossRef Qian, J., Dong, Y.: Multi-criteria decision making for seismic intensity measure selection considering uncertainty. Earthquake Eng. Struct. Dynam. 49(11), 1095–1114 (2020)CrossRef
4.
go back to reference Zhong, Z.L., Shen, Y., Zhen, L.: Ground motion intensity measures and dynamic response indexes of subway station structures. Chin. J. Geotech. Eng. 42(3), 486–494 (2020). (in Chinese) Zhong, Z.L., Shen, Y., Zhen, L.: Ground motion intensity measures and dynamic response indexes of subway station structures. Chin. J. Geotech. Eng. 42(3), 486–494 (2020). (in Chinese)
5.
go back to reference Chen, Z.Y., Liu, Z.Q.: Effects of central column aspect ratio on seismic performances of subway station structures. Adv. Struct. Eng. 21(1), 14–29 (2018)CrossRef Chen, Z.Y., Liu, Z.Q.: Effects of central column aspect ratio on seismic performances of subway station structures. Adv. Struct. Eng. 21(1), 14–29 (2018)CrossRef
6.
go back to reference GB50011 (2010) Code for Seismic Design of Buildings. Beijing, China: China Architecture & Building Press. (in Chinese) GB50011 (2010) Code for Seismic Design of Buildings. Beijing, China: China Architecture & Building Press. (in Chinese)
7.
go back to reference Chen, Z.Y., Liu, W.B., Chen, W.: Performance experiment of a multi-story subway station. J. Tongji Univ. (Nat. Sci.) 48(06), 811–820 (2020) (in Chinese) Chen, Z.Y., Liu, W.B., Chen, W.: Performance experiment of a multi-story subway station. J. Tongji Univ. (Nat. Sci.) 48(06), 811–820 (2020) (in Chinese)
8.
go back to reference Luco, N., Cornell, C.: Structure-specific scalar intensity measures for near-source and ordinary earthquake ground motions. Earthq. Spectra 23(2), 357–392 (2007)CrossRef Luco, N., Cornell, C.: Structure-specific scalar intensity measures for near-source and ordinary earthquake ground motions. Earthq. Spectra 23(2), 357–392 (2007)CrossRef
Metadata
Title
Ranking Method for Strong Ground Motion Based on Dynamic Response of Underground Structures
Authors
Wei Yu
Zhiyi Chen
Copyright Year
2022
DOI
https://doi.org/10.1007/978-3-031-11898-2_224