Top

Published in:

2024 | OriginalPaper | Chapter

Reliability Analysis of Clayey Soil Slope Stability Using GMDH and RFC Soft Computing Techniques

Author : Rahul Ray

Published in: Civil Engineering for Multi-Hazard Risk Reduction

Publisher: Springer Nature Singapore

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

search-config

AI-assisted search

Off

Abstract

Soil being a heterogeneous medium, predicting the stability of soil slope is a complex engineering problem due to the involvement of multiple effective attributes of soil in geotechnical behaviour. However, as comprehension of soil variability improves, deterministic methods have been replaced by probabilistic ones. This paper examines the application of two soft computing techniques, Group Method of Data Handling (GMDH) and Random Forests Classifier (RFC), to the study of reliability analysis of clayey soil slope stability. In addition, the applicability of GMDH and RFC in predicting stability of Soil Slope based on distinct soil attributes was evaluated, and model performance was evaluated using various fitness parameters such as RMSE, LMI, Bias Factor, etc. The results indicate that the GMDH model outperformed all fitness parameters, suggesting that the GMDH approach can be used as a reliable soft computing method for addressing non-linear problems, such as the stability of soil slope.

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!

inform now

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!

inform now

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!

inform now

previous chapter Soil Moisture Detection Using Arduino Sensor and ANN Prediction

next chapter Prediction of Residual Strength After Liquefaction Using Artificial Intelligence Model

Phoon KK (2002) Potential application of reliability-based design to geotechnical engineering. In: Proceedings of 4th Colombian geotechnical seminar, Medellin, pp 1–22

Yadav P, Shah K (2021) Quinolines, a perpetual, multipurpose scaffold in medicinal chemistry. Bioorg Chem 109

Sharma H, Jalal AS (2021) Visual question answering model based on graph neural network and contextual attention. Image Vis Comput

Verma P, Agrawal P, Amorim I, Prodan R (2021) WELFake: word embedding over linguistic features for fake news detection. IEEE Trans Comput Soc Syst 8:881–893CrossRef

Ghosh S, Singh D, Kumar R, Maharaj S (2021) Phase transition of AdS black holes in 4D EGB gravity coupled to nonlinear electrodynamics. Ann Phys 424

Praveen K, Roy LB (2022) Assessment of groundwater quality using water quality indices: a case study of Paliganj Distributary, Bihar, India. ETASR 12:8199–8203

Christian JT, Ladd CC, Baecher GB (1994) Reliability applied to slope stability analysis. J Geotech Eng 120:2180–2207. https://doi.org/10.1061/(ASCE)0733-9410(1994)120:12(2180)CrossRef

Khandelwal M, Singh TN (2013) Prediction of blast-induced ground vibration using artificial neural network. Int J Rock Mech Min Sci 46:1214–1222. https://doi.org/10.1016/j.ijrmms.2009.03.004CrossRef

Ray R, Roy LB (2021) Reliability analysis of soil slope stability using Ann, Anfis, PSO-Ann soft computing techniques. NVEO-Nat Volatiles Essent Oils 8:3478–3491

10.

Ray R, Choudhary SS, Roy LB (2021) Reliability analysis of layered soil slope stability using ANFIS and MARS soft computing techniques. Int J Performability Eng 17:647. https://doi.org/10.23940/ijpe.21.07.p9.647656

11.

Ray R, Choudhary SS, Roy LB (2021) Reliability analysis of soil slope stability using MARS, GPR and FN soft computing techniques. Model Earth Syst Environ 2021:1–11. https://doi.org/10.1007/S40808-021-01238-WCrossRef

12.

Dang V, Hoang N, Nguyen L, Bui D, Forests PS (2020) A novel GIS-based random forest machine algorithm for the spatial prediction of shallow landslide susceptibility. For MDPI 11:1–20. https://doi.org/10.3390/f11010118

13.

Ray R, Choudhary SS, Roy LB, Kaloop MR, Samui P, Kurup PU, Ahn J, Hu JW (2023) Reliability analysis of reinforced soil slope stability using GA-ANFIS, RFC, and GMDH soft computing techniques. Case Stud Constr Mater 18:e01898. https://doi.org/10.1016/J.CSCM.2023.E01898CrossRef

14.

Ray R, Samui P, Roy LB (2023) Reliability analysis of a shallow foundation on clayey soil based on settlement criteria. J Curr Sci Technol 13

15.

Ivakhnenko A, Krotov G, Visotsky V (1979) Identification of the mathematical model of a complex system by the self-organization method. Theor Syst Ecol Adv Case Stud

16.

Nguyen TN, Lee S, Nguyen-Xuan H, Lee J (2019) A novel analysis-prediction approach for geometrically nonlinear problems using group method of data handling. Comput Methods Appl Mech Eng 354:506–526. https://doi.org/10.1016/J.CMA.2019.05.052MathSciNetCrossRef

17.

Griffiths DV, Huang J, Fenton GA (2012) Risk assessment in geotechnical engineering: stability analysis of highly variable soils. In: GeoCongress 2012. https://doi.org/10.1061/9780784412138.0004

18.

Ray R, Kumar D, Samui P, Roy LB, Goh ATC, Zhang W (2020) Application of soft computing techniques for shallow foundation reliability in geotechnical engineering. Geosci Front 12:375–383. https://doi.org/10.1016/j.gsf.2020.05.003CrossRef

19.

Jain SK, Sudheer KP (2008) Fitting of hydrologic models: a close look at the Nash-Sutcliffe index. J Hydrol Eng 13:981–986. https://doi.org/10.1061/(ASCE)1084-0699(2008)13:10(981)CrossRef

20.

Kisi O, Shiri J, Tombul M (2013) Modeling rainfall-runoff process using soft computing techniques. Comput Geosci 51:108–117. https://doi.org/10.1016/j.cageo.2012.07.001CrossRef

21.

Babu GLS, Srivastava A (2007) Reliability analysis of allowable pressure on shallow foundation using response surface method. Comput Geotech 34:187–194. https://doi.org/10.1016/j.compgeo.2006.11.002CrossRef

22.

Kung GT, Juang CH, Hsiao EC, Hashash YM (2007) Simplified model for wall deflection and ground-surface settlement caused by braced excavation in clays. J Geotech Geoenviron Eng 133:731–747. https://doi.org/10.1061/(ASCE)1090-0241(2007)133:6(731)CrossRef

23.

Prasomphan S, Machine SM (2013) Generating prediction map for geostatistical data based on an adaptive neural network using only nearest neighbors. Int J Mach Learn Comput 3

24.

Moriasi DN, Arnold JG, Van Liew MW, Bingner RL, Harmel RD, Veith TL (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans ASABE 50:885–900. https://doi.org/10.13031/2013.23153

25.

Armstrong JS, Collopy F (1992) Error measures for generalizing about forecasting methods: empirical comparisons. Int J Forecast 8:69–80. https://doi.org/10.1016/0169-2070(92)90008-WCrossRef

26.

Viscarra Rossel RA, McGlynn RN, McBratney AB (2006) Determining the composition of mineral-organic mixes using UV–vis–NIR diffuse reflectance spectroscopy. Geoderma 137:70–82. https://doi.org/10.1016/j.geoderma.2006.07.004CrossRef

27.

Raventos-Duran T, Camredon M, Valorso R, Mouchel-Vallon C, Aumont B (2010) Structure-activity relationships to estimate the effective Henry’s law constants of organics of atmospheric interest. Atmos Chem Phys 10:7643–7654. https://doi.org/10.5194/acp-10-7643-2010CrossRef

28.

Matérn B (1960) Spatial variation, volume 36 of lecture notes in statistics, 2nd edn. Springer-Verlag, New York (First edn. Publ. by Meddelandan fran Statens …, 1960)

29.

Lal Bahadur R, Praveen P (2022) Study of soil erosion by using remote sensing and GIS techniques in Sone command area in Bihar, India. Mater Today Proc 62:1664–1670. https://doi.org/10.1016/J.MATPR.2022.04.739

30.

Stone RJ (1993) Improved statistical procedure for the evaluation of solar radiation estimation models. Sol Energy 51:289–291. https://doi.org/10.1016/0038-092X(93)90124-7CrossRef

31.

USACE (1997) Risk-based analysis in geotechnical engineering for support of planning studies, engineering and design. Dept. Army, USACE Washington, DC

32.

Taylor KE (2001) Summarizing multiple aspects of model performance in a single diagram. J Geophys Res Atmos 106:7183–7192. https://doi.org/10.1029/2000JD900719CrossRef

33.

Mann HB, Whitney DR (1947) On a test of whether one of two random variables is stochastically larger than the other. Ann Math Stat 18:50–60. https://doi.org/10.1214/aoms/1177730491MathSciNetCrossRef

Title: Reliability Analysis of Clayey Soil Slope Stability Using GMDH and RFC Soft Computing Techniques
Author: Rahul Ray
Publisher: Springer Nature Singapore
Book: Civil Engineering for Multi-Hazard Risk Reduction
Print ISBN: 978-981-9996-09-4

Electronic ISBN: 978-981-9996-10-0

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-981-99-9610-0_11

Springer Professional

Abstract

Please log in to get access to your license.

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

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"