Skip to main content
Erschienen in: Geotechnical and Geological Engineering 5/2020

14.08.2020 | Original Paper

Application of Rough Set Method Based on Modified Efficiency Coefficient in Slope Stability Analysis

verfasst von: Chen Qiao, Chang-hong Li, Yong-gang Xiao

Erschienen in: Geotechnical and Geological Engineering | Ausgabe 5/2020

Einloggen

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

search-config
loading …

Abstract

In order to evaluate the slope stability objectively and prevent geological disasters, the modified efficiency coefficient method was used to evaluate the slope stability. The main factors influencing slope stability were selected as evaluation indicators, including slope angle, slope height, internal friction angle, cohesion, bulk density and pore pressure ratio. The rough set theory was used to simplify the attributes of the slope stability evaluation indicators and determine the weight coefficient of the important indicators extracted. The weight coefficient was applied to the modified efficiency coefficient method to calculate the total efficiency coefficient value of the sample and evaluate the slope stability grade. The comprehensive evaluation model based on rough set and modified efficiency coefficient method is used to predict the stability of a slope project. The results show that the prediction results of this method are consistent with the actual state of the project, and the accuracy of the evaluation using the comprehensive evaluation model is 90.9%, which verifies the validity and reliability of this method. The combination of rough set theory and modified efficiency coefficient method can effectively improve the accuracy of slope stability evaluation and provide a new idea for slope stability evaluation.

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

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!

Literatur
Zurück zum Zitat Bordoni M, Bittelli M, Valentino R, Chersich S, Persichillo MG, Meisina C (2018) Soil water content estimated by support vector machine for the assessment of shallow landslides triggering: the role of antecedent meteorological conditions. Environ Model Assess 23(4):333–352CrossRef Bordoni M, Bittelli M, Valentino R, Chersich S, Persichillo MG, Meisina C (2018) Soil water content estimated by support vector machine for the assessment of shallow landslides triggering: the role of antecedent meteorological conditions. Environ Model Assess 23(4):333–352CrossRef
Zurück zum Zitat Chen SM, Wu AX, Wang YM (2018) Rock mass quality evaluation based on rough set and modified efficacy coefficient method. J Huazhong Univ Sci Technol (Nat Sci Ed) 46(07):36–41 Chen SM, Wu AX, Wang YM (2018) Rock mass quality evaluation based on rough set and modified efficacy coefficient method. J Huazhong Univ Sci Technol (Nat Sci Ed) 46(07):36–41
Zurück zum Zitat Contreras LF, Edwin TB (2019) Slope reliability and back analysis of failure with geotechnical parameters estimated using Bayesian inference. J Rock Mech Geotech Eng 11(3):628–643CrossRef Contreras LF, Edwin TB (2019) Slope reliability and back analysis of failure with geotechnical parameters estimated using Bayesian inference. J Rock Mech Geotech Eng 11(3):628–643CrossRef
Zurück zum Zitat Fan XM, Qiang X, Gianvito S (2018) Brief communication: Post-seismic landslides, the tough lesson of a catastrophe. Nat Hazards Earth Syst Sci 18(1):397–403CrossRef Fan XM, Qiang X, Gianvito S (2018) Brief communication: Post-seismic landslides, the tough lesson of a catastrophe. Nat Hazards Earth Syst Sci 18(1):397–403CrossRef
Zurück zum Zitat Francioni M, Matteo S, Doug S, Nicola S, Giovanni M, Fernando C (2019) A new fast and low-cost photogrammetry method for the engineering characterization of rock slopes. Remote Sens 11:126711 Francioni M, Matteo S, Doug S, Nicola S, Giovanni M, Fernando C (2019) A new fast and low-cost photogrammetry method for the engineering characterization of rock slopes. Remote Sens 11:126711
Zurück zum Zitat Gelisli K, Kaya T, Babacan AE (2015) Assessing the factor of safety using an artificial neural network: case studies on landslides in Giresun. Turk Environ Earth Sci 73(12):8639–8646CrossRef Gelisli K, Kaya T, Babacan AE (2015) Assessing the factor of safety using an artificial neural network: case studies on landslides in Giresun. Turk Environ Earth Sci 73(12):8639–8646CrossRef
Zurück zum Zitat Li Y, Liu J (2013) Slope instability disaster forecast and its application based on RS-CPM model. J Cent South Univ (Sci Technol) 44(07):2971–2976 Li Y, Liu J (2013) Slope instability disaster forecast and its application based on RS-CPM model. J Cent South Univ (Sci Technol) 44(07):2971–2976
Zurück zum Zitat Liu DX, Cao P (2015) Preliminary study of modified SMR method based on gray system theory. Rock Soil Mech 36(S1):408–412 Liu DX, Cao P (2015) Preliminary study of modified SMR method based on gray system theory. Rock Soil Mech 36(S1):408–412
Zurück zum Zitat Niu JY, Jiang XL, Wang FF (2018) Stability analysis of rock slope with small spacing tunnel under earthquakes and influence of ground motion parameters. Geotech Geol Eng 36(4):2437–2453CrossRef Niu JY, Jiang XL, Wang FF (2018) Stability analysis of rock slope with small spacing tunnel under earthquakes and influence of ground motion parameters. Geotech Geol Eng 36(4):2437–2453CrossRef
Zurück zum Zitat Qian ZG, Li AJ, Chen WC, Lyamin AV, Jiang JC (2019) An artificial neural network approach to inhomogeneous soil slope stability predictions based on limit analysis methods. Soils Found 59(2):556–569CrossRef Qian ZG, Li AJ, Chen WC, Lyamin AV, Jiang JC (2019) An artificial neural network approach to inhomogeneous soil slope stability predictions based on limit analysis methods. Soils Found 59(2):556–569CrossRef
Zurück zum Zitat Qie ZH, Wu XM, Lian JJ, Wang FZ (2006) Stability evaluation of rock slope basing on rough set. In: 2006 International conference on machine learning and cybernetics. New York, pp 2310 Qie ZH, Wu XM, Lian JJ, Wang FZ (2006) Stability evaluation of rock slope basing on rough set. In: 2006 International conference on machine learning and cybernetics. New York, pp 2310
Zurück zum Zitat Sun SQ, Li SC, Li LP, Shi SS, Wang J, Hu J, Hu C (2019) Slope stability analysis and protection measures in bridge and tunnel engineering: a practical case study from Southwestern China. Bull Eng Geol Environ 78(5):3305–3321CrossRef Sun SQ, Li SC, Li LP, Shi SS, Wang J, Hu J, Hu C (2019) Slope stability analysis and protection measures in bridge and tunnel engineering: a practical case study from Southwestern China. Bull Eng Geol Environ 78(5):3305–3321CrossRef
Zurück zum Zitat Wang YC, Sun HY, Shang YC (2010) Application of efficacy coefficient method to instability risk early-warning of tunnel surrounding rock. Rock Mech Eng 29(S2):3679–3684 Wang YC, Sun HY, Shang YC (2010) Application of efficacy coefficient method to instability risk early-warning of tunnel surrounding rock. Rock Mech Eng 29(S2):3679–3684
Zurück zum Zitat Xu J, Zhang Q, Wu JM (2010) Application of efficacy coefficient method to determination of rock preferred structrual plane. Geotech Eng 29(S2):3679–3684 Xu J, Zhang Q, Wu JM (2010) Application of efficacy coefficient method to determination of rock preferred structrual plane. Geotech Eng 29(S2):3679–3684
Zurück zum Zitat Yang CZ, Tao XM, He GX (2009) The application of gray theory in slope analysis. Aussino Acad Publ House, Marrickville, pp 549–552 Yang CZ, Tao XM, He GX (2009) The application of gray theory in slope analysis. Aussino Acad Publ House, Marrickville, pp 549–552
Zurück zum Zitat Zhang J, He P, Xiao J, Xu F (2018) Risk assessment model of expansive soil slope stability based on Fuzzy-AHP method and its engineering application. Geomat Nat Hazards Risk 9(1):389–402CrossRef Zhang J, He P, Xiao J, Xu F (2018) Risk assessment model of expansive soil slope stability based on Fuzzy-AHP method and its engineering application. Geomat Nat Hazards Risk 9(1):389–402CrossRef
Zurück zum Zitat Zhou Z, Cui X Y, Niu Y L (2011) Reseach of security risk identification based on rough set theory for Highway Subgrade stability in the slope of reservoir. In: International conference on management science and engineering 18th annual conference proceedings, New York, pp 1144. Zhou Z, Cui X Y, Niu Y L (2011) Reseach of security risk identification based on rough set theory for Highway Subgrade stability in the slope of reservoir. In: International conference on management science and engineering 18th annual conference proceedings, New York, pp 1144.
Zurück zum Zitat Zhao ZF, Xu WY (2007) Comprehensive assessment of slope safety and stability based on catastrophe theory. Rock Mech Eng 26(S1):2707–2712 Zhao ZF, Xu WY (2007) Comprehensive assessment of slope safety and stability based on catastrophe theory. Rock Mech Eng 26(S1):2707–2712
Metadaten
Titel
Application of Rough Set Method Based on Modified Efficiency Coefficient in Slope Stability Analysis
verfasst von
Chen Qiao
Chang-hong Li
Yong-gang Xiao
Publikationsdatum
14.08.2020
Verlag
Springer International Publishing
Erschienen in
Geotechnical and Geological Engineering / Ausgabe 5/2020
Print ISSN: 0960-3182
Elektronische ISSN: 1573-1529
DOI
https://doi.org/10.1007/s10706-020-01516-x

Weitere Artikel der Ausgabe 5/2020

Geotechnical and Geological Engineering 5/2020 Zur Ausgabe