Skip to main content
Erschienen in: Bulletin of Engineering Geology and the Environment 5/2019

18.06.2018 | Original Paper

New formulas for predicting liquefaction-induced lateral spreading: model tree approach

verfasst von: Yasaman Jafari Avval, Ali Derakhshani

Erschienen in: Bulletin of Engineering Geology and the Environment | Ausgabe 5/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Liquefaction-induced lateral ground spreading is a serious concern of geotechnical engineers because of its hazardous impact on structures. In recent decades, many researchers have focused on developing models which can be used to estimate the amount of lateral spread displacement. In this study, we propose new predictive models using the M5′ model tree algorithm. The models include single sets of formulas on both free face and sloping ground conditions that differ from traditional approaches in which the two topography conditions are considered separately. We demonstrate that the novel equations outperform the traditional ones in terms of accuracy, simplicity and physical interpretability. A sensitivity analysis is conducted to determine the significance of each governing parameter on the output of the new model. The results are used to develop a formula that can be employed for preliminary estimation of the lateral spreading using the most important input parameters. A simple dimensionless model is also derived with an appropriate degree of accuracy.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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+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!

Literatur
Zurück zum Zitat Akkaş E, Akin L, Çubukçu HE, Artuner H (2015) Application of Decision Tree Algorithm for classification and identification of natural minerals using SEM–EDS. Comput Geosci 80:38–48CrossRef Akkaş E, Akin L, Çubukçu HE, Artuner H (2015) Application of Decision Tree Algorithm for classification and identification of natural minerals using SEM–EDS. Comput Geosci 80:38–48CrossRef
Zurück zum Zitat Bardet J-P, Tobita T, Mace N, Hu J (2002) Regional modeling of liquefaction-induced ground deformation. Earthquake Spectra 18:19–46CrossRef Bardet J-P, Tobita T, Mace N, Hu J (2002) Regional modeling of liquefaction-induced ground deformation. Earthquake Spectra 18:19–46CrossRef
Zurück zum Zitat Bartlett SF, Youd TL (1995) Empirical prediction of liquefaction-induced lateral spread. J Geotech Eng 121:316–329CrossRef Bartlett SF, Youd TL (1995) Empirical prediction of liquefaction-induced lateral spread. J Geotech Eng 121:316–329CrossRef
Zurück zum Zitat Bartlett SF, Youd TL (1993) Consortium UCUSE prediction of liquefaction-induced ground displacement near bridges. In: National Earthquake Conference: Earthquake Hazard Reduction in the Central and Eastern United States: A Time for Examination and Action. US Central United States Earthquake Consortium (CUSEC), Memphis, pp 575–584 Bartlett SF, Youd TL (1993) Consortium UCUSE prediction of liquefaction-induced ground displacement near bridges. In: National Earthquake Conference: Earthquake Hazard Reduction in the Central and Eastern United States: A Time for Examination and Action. US Central United States Earthquake Consortium (CUSEC), Memphis, pp 575–584
Zurück zum Zitat Baziar M, Ghorbani A (2005) Evaluation of lateral spreading using artificial neural networks. Soil Dyn Earthq Eng 25:1–9CrossRef Baziar M, Ghorbani A (2005) Evaluation of lateral spreading using artificial neural networks. Soil Dyn Earthq Eng 25:1–9CrossRef
Zurück zum Zitat Baziar M, Nilipour N (2003) Evaluation of liquefaction potential using neural-networks and CPT results. Soil Dyn Earthq Eng 23:631–636CrossRef Baziar M, Nilipour N (2003) Evaluation of liquefaction potential using neural-networks and CPT results. Soil Dyn Earthq Eng 23:631–636CrossRef
Zurück zum Zitat Baziar M, Saeedi Azizkandi A (2013) Evaluation of lateral spreading utilizing artificial neural network and genetic programming. Int J Civil Eng Trans B Geotech Eng 11(2):100–111 Baziar M, Saeedi Azizkandi A (2013) Evaluation of lateral spreading utilizing artificial neural network and genetic programming. Int J Civil Eng Trans B Geotech Eng 11(2):100–111
Zurück zum Zitat Cubrinovski M, Robinson K, Taylor M, Hughes M, Orense R (2012) Lateral spreading and its impacts in urban areas in the 2010–2011 Christchurch earthquakes. N Z J Geol Geophys 55:255–269CrossRef Cubrinovski M, Robinson K, Taylor M, Hughes M, Orense R (2012) Lateral spreading and its impacts in urban areas in the 2010–2011 Christchurch earthquakes. N Z J Geol Geophys 55:255–269CrossRef
Zurück zum Zitat Finn W, Ledbetter R, Wu G (1994) Liquefaction in silty soils: design and analysis. In: Ground failures under seismic conditions. ASCE: 51–76 Finn W, Ledbetter R, Wu G (1994) Liquefaction in silty soils: design and analysis. In: Ground failures under seismic conditions. ASCE: 51–76
Zurück zum Zitat Goh AT (1994) Seismic liquefaction potential assessed by neural networks. J Geotech Eng 120:1467–1480CrossRef Goh AT (1994) Seismic liquefaction potential assessed by neural networks. J Geotech Eng 120:1467–1480CrossRef
Zurück zum Zitat Goh AT, Zhang W (2014) An improvement to MLR model for predicting liquefaction-induced lateral spread using multivariate adaptive regression splines. Eng Geol 170:1–10CrossRef Goh AT, Zhang W (2014) An improvement to MLR model for predicting liquefaction-induced lateral spread using multivariate adaptive regression splines. Eng Geol 170:1–10CrossRef
Zurück zum Zitat Hamada M, Sato H, Kawakami TA (1994) Consideration of the mechanism for liquefaction-related large ground displacement. In: Proc 5th US–Japan Workshop on Earthquake Resistant Design of Lifeline Facilities and Countermeasures Against Soil Liquefaction. Technical Report NCEER-94-0026. pp 217–232 Hamada M, Sato H, Kawakami TA (1994) Consideration of the mechanism for liquefaction-related large ground displacement. In: Proc 5th US–Japan Workshop on Earthquake Resistant Design of Lifeline Facilities and Countermeasures Against Soil Liquefaction. Technical Report NCEER-94-0026. pp 217–232
Zurück zum Zitat Hamada M, Yasuda S, Isoyama R, Emoto K (1986) Study on liquefaction induced permanent ground displacements. Report for the Association for the Development of Earthquake Prediction (ADEP). Japan 87 Hamada M, Yasuda S, Isoyama R, Emoto K (1986) Study on liquefaction induced permanent ground displacements. Report for the Association for the Development of Earthquake Prediction (ADEP). Japan 87
Zurück zum Zitat Hoang N-D, Bui DT (2016) Predicting earthquake-induced soil liquefaction based on a hybridization of kernel fisher discriminant analysis and a least squares support vector machine: a multi-dataset study. Bull Eng Geol Environ. 77:191–204 https://doi.org/10.1007/s10064-016-0924-0 Hoang N-D, Bui DT (2016) Predicting earthquake-induced soil liquefaction based on a hybridization of kernel fisher discriminant analysis and a least squares support vector machine: a multi-dataset study. Bull Eng Geol Environ. 77:191–204 https://​doi.​org/​10.​1007/​s10064-016-0924-0
Zurück zum Zitat Javadi AA, Rezania M, Nezhad MM (2006) Evaluation of liquefaction induced lateral displacements using genetic programming. Comput Geotech 33:222–233CrossRef Javadi AA, Rezania M, Nezhad MM (2006) Evaluation of liquefaction induced lateral displacements using genetic programming. Comput Geotech 33:222–233CrossRef
Zurück zum Zitat Jung N-C, Popescu I, Kelderman P, Solomatine DP, Price RK (2010) Application of model trees and other machine learning techniques for algal growth prediction in Yongdam reservoir, Republic of Korea. J Hydroinfo 12:262–274CrossRef Jung N-C, Popescu I, Kelderman P, Solomatine DP, Price RK (2010) Application of model trees and other machine learning techniques for algal growth prediction in Yongdam reservoir, Republic of Korea. J Hydroinfo 12:262–274CrossRef
Zurück zum Zitat Kutter BL, Gajan S, Manda KK, Balakrishnan A (2004) Effects of layer thickness and density on settlement and lateral spreading. J Geotech Geoenviron Eng 130:603–614 Kutter BL, Gajan S, Manda KK, Balakrishnan A (2004) Effects of layer thickness and density on settlement and lateral spreading. J Geotech Geoenviron Eng 130:603–614
Zurück zum Zitat Quinlan JR (1992) Learning with continuous classes. In: Adams, Sterling (eds) 5th Australian joint conference on artificial intelligence. Singapore. In Proceedings AI'92 Singapore: World Scientic pp 343–348 Quinlan JR (1992) Learning with continuous classes. In: Adams, Sterling (eds) 5th Australian joint conference on artificial intelligence. Singapore. In Proceedings AI'92 Singapore: World Scientic pp 343–348
Zurück zum Zitat Rauch AF, Martin J III (2000) EPOLLS model for predicting average displacements on lateral spreads. J Geotechn Geoenviron Eng 126:360–371CrossRef Rauch AF, Martin J III (2000) EPOLLS model for predicting average displacements on lateral spreads. J Geotechn Geoenviron Eng 126:360–371CrossRef
Zurück zum Zitat Rezania M, Faramarzi A, Javadi AA (2011) An evolutionary based approach for assessment of earthquake-induced soil liquefaction and lateral displacement. Eng Appl Artif Intell 24:142–153CrossRef Rezania M, Faramarzi A, Javadi AA (2011) An evolutionary based approach for assessment of earthquake-induced soil liquefaction and lateral displacement. Eng Appl Artif Intell 24:142–153CrossRef
Zurück zum Zitat Shamoto Y, Zhang J-M, Tokimatsu K (1998) New charts for predicting large residual post-liquefaction ground deformation. Soil Dynam Earthquake Eng 17:427–438CrossRef Shamoto Y, Zhang J-M, Tokimatsu K (1998) New charts for predicting large residual post-liquefaction ground deformation. Soil Dynam Earthquake Eng 17:427–438CrossRef
Zurück zum Zitat Sharp MK, Dobry R, Abdoun T (2003) Liquefaction centrifuge modeling of sands of different permeability. J Geotech Geoenviron Eng 129:1083–1091CrossRef Sharp MK, Dobry R, Abdoun T (2003) Liquefaction centrifuge modeling of sands of different permeability. J Geotech Geoenviron Eng 129:1083–1091CrossRef
Zurück zum Zitat Tokida K, Matsumoto H, Azuma T, Towhata I (1970) Simplified procedure to estimate lateral ground flow by soil liquefaction. Trans Built Environ 3 Tokida K, Matsumoto H, Azuma T, Towhata I (1970) Simplified procedure to estimate lateral ground flow by soil liquefaction. Trans Built Environ 3
Zurück zum Zitat Towhata I, Sasaki Y, Tokida K, Matsumoto H, Tamari Y, Yamada K (1992) Prediction of permanent displacement of liquefied ground by means of minimum energy principle. Soils Found 32:97–116CrossRef Towhata I, Sasaki Y, Tokida K, Matsumoto H, Tamari Y, Yamada K (1992) Prediction of permanent displacement of liquefied ground by means of minimum energy principle. Soils Found 32:97–116CrossRef
Zurück zum Zitat Wang WYIH (1997) Inducing model trees for predicting continuous classes. In: Proc European Conference on Machine Learning. University of Economics, Prague, pp 128–137 Wang WYIH (1997) Inducing model trees for predicting continuous classes. In: Proc European Conference on Machine Learning. University of Economics, Prague, pp 128–137
Zurück zum Zitat Wang J, Rahman M (1999) A neural network model for liquefaction-induced horizontal ground displacement. Soil Dynam Earthquake Eng 18:555–568CrossRef Wang J, Rahman M (1999) A neural network model for liquefaction-induced horizontal ground displacement. Soil Dynam Earthquake Eng 18:555–568CrossRef
Zurück zum Zitat Witten IH, Frank E (2005) Data mining: practical machine learning tools and techniques. Morgan Kaufmann, Burlington Witten IH, Frank E (2005) Data mining: practical machine learning tools and techniques. Morgan Kaufmann, Burlington
Zurück zum Zitat Yasuda SH, Nagase HK, Uchida Y (1992) The mechanism and a simplified procedure for the analysis of permanent ground displacement due to liquefaction. Soils Found 32:149–160CrossRef Yasuda SH, Nagase HK, Uchida Y (1992) The mechanism and a simplified procedure for the analysis of permanent ground displacement due to liquefaction. Soils Found 32:149–160CrossRef
Zurück zum Zitat Youd TL, Hansen CM, Bartlett SF (2002) Revised multilinear regression equations for prediction of lateral spread displacement. J Geotech Geoenviron Eng 128:1007–1017CrossRef Youd TL, Hansen CM, Bartlett SF (2002) Revised multilinear regression equations for prediction of lateral spread displacement. J Geotech Geoenviron Eng 128:1007–1017CrossRef
Zurück zum Zitat Youd TL, Perkins DM (1987) Mapping of liquefaction severity index. J Geotech Eng 113:1374–1392 Youd TL, Perkins DM (1987) Mapping of liquefaction severity index. J Geotech Eng 113:1374–1392
Zurück zum Zitat Zhang G, Robertson PK, Brachman R (2004) Estimating liquefaction-induced lateral displacements using the standard penetration test or cone penetration test. J Geotech Geoenviron Eng 130:861–871CrossRef Zhang G, Robertson PK, Brachman R (2004) Estimating liquefaction-induced lateral displacements using the standard penetration test or cone penetration test. J Geotech Geoenviron Eng 130:861–871CrossRef
Zurück zum Zitat Zhang J, Zhao JX (2005) Empirical models for estimating liquefaction-induced lateral spread displacement. Soil Dynam Earthquake Eng 25:439–450CrossRef Zhang J, Zhao JX (2005) Empirical models for estimating liquefaction-induced lateral spread displacement. Soil Dynam Earthquake Eng 25:439–450CrossRef
Metadaten
Titel
New formulas for predicting liquefaction-induced lateral spreading: model tree approach
verfasst von
Yasaman Jafari Avval
Ali Derakhshani
Publikationsdatum
18.06.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Bulletin of Engineering Geology and the Environment / Ausgabe 5/2019
Print ISSN: 1435-9529
Elektronische ISSN: 1435-9537
DOI
https://doi.org/10.1007/s10064-018-1319-1

Weitere Artikel der Ausgabe 5/2019

Bulletin of Engineering Geology and the Environment 5/2019 Zur Ausgabe