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Frontiers of Structural and Civil Engineering

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ISSN 2095-2449(Online)

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Front. Struct. Civ. Eng.    2021, Vol. 15 Issue (2) : 478-489    https://doi.org/10.1007/s11709-021-0698-8
RESEARCH ARTICLE
Reliability assessment of three-dimensional bearing capacity of shallow foundation using fuzzy set theory
Rajarshi PRAMANIK(), Dilip Kumar BAIDYA, Nirjhar DHANG
Department of Civil Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India
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Abstract

The aim of this study is to investigate the applicability of reliability theory on surface square/rectangular footing against bearing capacity failure using fuzzy set theory in conjunction with the finite element method. Soil is modeled as a three-dimensional spatially varying medium, where its parameters (cohesion, friction angle, unit weight, etc.) are considered as fuzzy variables that maintain some membership functions. Soil is idealized as an elastic-perfectly plastic material obeying the Mohr–Coulomb failure criterion, where both associated and non-associated flow rules are considered in estimating the ultimate bearing capacity of the footing. The spatial variability of the soil is incorporated for both isotropic and anisotropic fields, which are determined by the values of scales of fluctuation in both the horizontal and vertical directions. A new parameter namely, limiting applied pressure at zero failure probability is proposed, and it indirectly predicts the failure probability of the footing. The effect of the coefficient of variation of the friction angle of the soil on the probability of failure is analyzed, and it is observed that the effect is significant. Furthermore, the effect of the scale of fluctuation on the probability of failure is investigated, and the necessity for considering spatial variability in the reliability analysis is well proven.

Keywords finite element method      square footing      reliability analysis      fuzzy set theory      coefficient of variation      spatial variability     
Corresponding Author(s): Rajarshi PRAMANIK   
Just Accepted Date: 03 March 2021   Online First Date: 16 April 2021    Issue Date: 27 May 2021
 Cite this article:   
Rajarshi PRAMANIK,Dilip Kumar BAIDYA,Nirjhar DHANG. Reliability assessment of three-dimensional bearing capacity of shallow foundation using fuzzy set theory[J]. Front. Struct. Civ. Eng., 2021, 15(2): 478-489.
 URL:  
https://academic.hep.com.cn/fsce/EN/10.1007/s11709-021-0698-8
https://academic.hep.com.cn/fsce/EN/Y2021/V15/I2/478
Fig.1  Membership function of resulting fuzzy number and calculation of probability of failure.
Fig.2  Flow diagram of fuzzy reliability analysis.
Fig.3  Schematic diagram of footing position and boundary conditions.
parameters values
elastic modulus (E) (kN/m2)a) 2.0×105
Poisson’s ratio (υ)a 0.35
cohesion (c) (kN/m2) 20.0
angle of internal friction (φ) (º) 5–20
dilation angle (ψ) (º) 0 (non-associated flow rule)
φ (associated flow rule)
unit weight (γ) (kN/m3) 18.0
Tab.1  Properties (elastic and shear strength) of soil
method L/B =1 L/B =1.5 L/B =2 L/B =3 L/B =5 L/B =10
present analysisa) 1.22 1.11 1.07 1.05 1.04 1.03
Gourvenec et al. [6]b) 1.15 1.12 1.11 1.09 1.07 1.05
Tab.2  Comparison of shape factor (sc) of square and rectangular footings (φ = 0)
Fig.4  Effect of shape of membership functions: (a) membership function of qult; (b) variation in Pf with different limiting applied pressures for various scales of fluctuation.
Fig.5  Membership function of final fuzzy number (ultimate bearing capacity): (a) COV of φ = 0.1; (b) COV of φ = 0.4.
fuzzy variables mean coefficient of variation (COV)
E (kN/m2) 2.0 × 105 0.2
c (kN/m2) 20.0 0.2
φ (º) 5–20 0.1 and 0.4
ψ (º) 0 (for NAFR)
φ (for AFR) 0.2
γ (kN/m3) 18.0 0.05
Tab.3  Fuzzy variables and statistical parameters considered in analysis
Fig.6  Variation in Pf with different limiting applied pressures: (a) φ = 5°, CVO?= 0.1; (b) φ = 5°, CVO?= 0.4; (c) φ = 10°, CVO?= 0.1; (d) φ = 10°, CVO? = 0.4; (e) φ = 15°, CVO? = 0.1; (f) φ = 15º, CVO?= 0.4; (g) φ = 20°, CVO?= 0.1; (h) φ = 20°, CVO? = 0.4.
Fig.7  Effect of flow rule: (a) φ = 10°, CVO? = 0.1; (b) φ = 10°, COV?= 0.4; (c) φ = 20°, COV? = 0.1; (d) φ = 20°, COV?= 0.4.
Fig.8  Pf vs. qlim for different ψ values.
Fig.9  Variation in q0lim with varyingδ/B (isotropic case).
Fig.10  Effect of aspect ratio of footing on q0lim value (for cohesive soil deposit only).
Fig.11  Variation in q0lim with varying δx/B (anisotropic case).
Fig.12  Variation in influence factor for different scales of fluctuation.
1 K Terzaghi. Theoretical Soil Mechanics. New York: John Wiley and Sons, 1943
2 G G Meyerhof. Some recent research on the bearing capacity of foundations. Canadian Geotechnical Journal, 1963, 1(1): 16–26
https://doi.org/10.1139/t63-003
3 E E de Beer. Experimental determination of the shape factors and the bearing capacity factors of sand. Geotechnique, 1970, 20(4): 387–411
https://doi.org/10.1680/geot.1970.20.4.387
4 R L Michalowski. Upper-bound load estimate on square and rectangular footings. Geotechnique, 2001, 51(9): 787–798
https://doi.org/10.1680/geot.2001.51.9.787
5 M Zhu, R L Michalowski. Shape factors for limit loads on square and rectangular footings. Journal of Geotechnical and Geoenvironmental Engineering, 2005, 131(2): 223–231
https://doi.org/10.1061/(ASCE)1090-0241(2005)131:2(223)
6 S Gourvenec, M Randolph, O Kingsnorth. Undrained bearing capacity of square and rectangular footings. International Journal of Geomechanics, 2006, 6(3): 147–157
https://doi.org/10.1061/(ASCE)1532-3641(2006)6:3(147)
7 J P Li, Y C Le, Y L Fa. Effects of footing shape on bearing capacity of rectangular footings. In: Contemporary Topics in Ground Modification, Problem Soils, and Geo-Support. Orlando, FL: International Foundation Congress and Equipment Expo 2009 (IFCEE’09), ASCE, 2009, 481–487
8 A Gupta, R K Dutta, R Shrivastava, V N Khatri. Ultimate bearing capacity of square/rectangular footing on layered Soil. Indian Geotechnical Journal, 2017, 47(3): 303–313
https://doi.org/10.1007/s40098-017-0233-y
9 J Liu, M Li, Y Hu, C Han. Bearing capacity of rectangular footings in uniform clay with deep embedment. Computers and Geotechnics, 2017, 86: 209–218
https://doi.org/10.1016/j.compgeo.2017.01.019
10 A S Osman. Upper bound solutions for the shape factors of smooth rectangular footings on frictional materials. Computers and Geotechnics, 2019, 115: 103177
https://doi.org/10.1016/j.compgeo.2019.103177
11 C Cherubini. Reliability evaluation of shallow foundation bearing capacity on cʹ, φʹ soils. Canadian Geotechnical Journal, 2000, 37(1): 264–269
12 D V Griffiths, G A Fenton, N Manoharan. Bearing capacity of rough rigid strip footing on cohesive soil: Probabilistic study. Journal of Geotechnical and Geoenvironmental Engineering, 2002, 128(9): 743–755
https://doi.org/10.1061/(ASCE)1090-0241(2002)128:9(743)
13 G A Fenton, D V Griffiths. Bearing-capacity prediction of spatially random cφ soils. Canadian Geotechnical Journal, 2003, 40(1): 54–65
https://doi.org/10.1139/t02-086
14 G L Sivakumar Babu, A Srivastava, D S Murthy. Reliability analysis of the bearing capacity of a shallow foundation resting on cohesive soil. Canadian Geotechnical Journal, 2006, 43(2): 217–223
https://doi.org/10.1139/t05-099
15 G L Sivakumar Babu, A Srivastava. Reliability analysis of allowable pressure on shallow foundation using response surface method. Computers and Geotechnics, 2007, 34(3): 187–194
https://doi.org/10.1016/j.compgeo.2006.11.002
16 D S Youssef Abdel Massih, A Soubra. Reliability-based analysis strip footings using response surface methodology. International Journal of Geomechanics, 2008, 8(2): 34–43
17 D S Youssef Abdel Massih, A H Soubra, B K Low. Reliability-based analysis and design of strip footings against bearing capacity failure. Journal of Geotechnical and Geoenvironmental Engineering, 2008, 134(7): 917–928
https://doi.org/10.1061/(ASCE)1090-0241(2008)134:7(917)
18 C L Chan, B K Low. Practical second-order reliability analysis applied to foundation engineering. International Journal for Numerical and Analytical Methods in Geomechanics, 2012, 36(11): 1387–1409
https://doi.org/10.1002/nag.1057
19 W Puła, M Chwała. On spatially averaging along random slip lines in the reliability computations of shallow strip foundations. Computers and Geotechnics, 2015, 68: 128–136
https://doi.org/10.1016/j.compgeo.2015.04.001
20 D Q Li, X H Qi, Z J Cao, X S Tang, W Zhou, K K Phoon, C B Zhou. Reliability analysis of strip footing considering spatially variable undrained shear strength that linearly increases with depth. Soil and Foundations, 2015, 55(4): 866–880
https://doi.org/10.1016/j.sandf.2015.06.017
21 G A Fenton, F Naghibi, D V Griffiths. On the unified theory for reliability-based geotechnical design. Computers and Geotechnics, 2016, 78: 110–122
https://doi.org/10.1016/j.compgeo.2016.04.013
22 A Haldar, S Mahadevan. Probability, Reliability and Statistical Methods in Engineering Design. New York: John Wiley and Sons, 1999
23 A GuhaRay, D K Baidya. Reliability-based analysis of cantilever sheet pile walls backfilled with different soil types using the finite-element approach. International Journal of Geomechanics, 2015, 15(6): 06015001
https://doi.org/10.1061/(ASCE)GM.1943-5622.0000475
24 A GuhaRay, D K Baidya. Reliability coupled sensitivity-based seismic analysis of gravity retaining wall using pseudostatic approach. Journal of Geotechnical and Geoenvironmental Engineering, 2016, 142(6): 04016010
https://doi.org/10.1061/(ASCE)GT.1943-5606.0001467
25 G R Dodagoudar, G Venkatachalam. Reliability analysis of slopes using fuzzy sets theory. Computers and Geotechnics, 2000, 27(2): 101–115
https://doi.org/10.1016/S0266-352X(00)00009-4
26 C I Giasi, P Masi, C Cherubini. Probabilistic and fuzzy reliability analysis of a sample slope near Aliano. Engineering Geology, 2003, 67(3–4): 391–402
https://doi.org/10.1016/S0013-7952(02)00222-3
27 Z Luo, S Atamturktur, C H Juang, H Huang, P S Lin. Probability of serviceability failure in a braced excavation in a spatially random field: Fuzzy finite element approach. Computers and Geotechnics, 2011, 38(8): 1031–1040
https://doi.org/10.1016/j.compgeo.2011.07.009
28 H J Park, J G Um, I Woo, J W Kim. Application of fuzzy set theory to evaluate the probability of failure in rock slopes. Engineering Geology, 2012, 125: 92–101
https://doi.org/10.1016/j.enggeo.2011.11.008
29 S M Marandi, M Anvar, M Bahrami. Uncertainty analysis of safety factor of embankment built on stone column improved soft soil using fuzzy logic α-cut technique. Computers and Geotechnics, 2016, 75: 135–144
https://doi.org/10.1016/j.compgeo.2016.01.014
30 K D Komal. Fuzzy reliability analysis of DFSMC system in LNG carriers for components with different membership function. Ocean Engineering, 2018, 155: 278–294
https://doi.org/10.1016/j.oceaneng.2018.02.061
31 H J Park, J Y Jang, J H Lee. Assessment of rainfall-induced landslide susceptibility at the regional scale using a physically based model and fuzzy-based Monte Carlo simulation. Landslides, 2019, 16(4): 695–713
https://doi.org/10.1007/s10346-018-01125-z
32 R Pramanik, D K Baidya, N Dhang. Reliability analysis for settlement calculation of surface strip footing under different soil conditions using fuzzy sets theory. In: Proceedings of Geotechnics for Natural and Engineered Sustainable Technologies (GeoNEst): Indian Geotechnical Conference (IGC-2017). Guwahati, 2017
33 R Pramanik, D K Baidya, N Dhang. Implementation of fuzzy reliability analysis for elastic settlement of strip footing on sand considering spatial variability. International Journal of Geomechanics, 2019, 19(12): 04019126
https://doi.org/10.1061/(ASCE)GM.1943-5622.0001514
34 R Pramanik, D K Baidya, N Dhang. Reliability analysis for bearing capacity of surface strip footing using fuzzy finite element method. Geomechanics and Geoengineering. International Journal, 2020, 15(1): 29–41
https://doi.org/10.1080/17486025.2019.1601268
35 R Pramanik, D K Baidya, N Dhang. Numerical investigation of the bearing capacity factors using the finite element method. In: Geotechnical Characterization and Modelling. Lecture Notes in Civil Engineering. Singapore: Springer, 2020, 85, 901–916
https://doi.org/10.1007/978-981-15-6086-6_71
36 E H Vanmarcke. Probabilistic modeling of soil profiles. Journal of the Geotechnical Engineering Division, 1977, 103(11): 1227–1246
37 E H Vanmarcke. Reliability of earth slopes. Journal of Geotechnical and Geoenvironmental Engineering, 1977, 103(11): 1247–1265
38 K K Phoon, F H Kulhawy. Characterazation of geotechnical variability. Canadian Geotechnical Journal, 1999, 36(4): 612–624
https://doi.org/10.1139/t99-038
39 G B Baecher, J T Christian. Reliability and Statistics in Geotechnical Engineering. New York: John Wiley and Sons, 2003
40 K Kasama, A J Whittle. Bearing capacity of spatially random cohesive soil using numerical limit analyses. Journal of Geotechnical and Geoenvironmental Engineering, 2011, 137(11): 989–996
https://doi.org/10.1061/(ASCE)GT.1943-5606.0000531
41 S Metya, G Bhattacharya. Reliability analysis of earth slope considering spatial variability. Geotechnical and Geological Engineering, 2016, 34(1): 103–123
https://doi.org/10.1007/s10706-015-9932-2
42 Z Luo, Y Li, S Zhou, H Di. Effects of vertical spatial variability on supported excavations in sands considering multiple geotechnical and structural failure modes. Computers and Geotechnics, 2018, 95: 16–29
https://doi.org/10.1016/j.compgeo.2017.11.017
43 K Halder, D Chakraborty. Probabilistic bearing capacity of strip footing on reinforced soil slope. Computers and Geotechnics, 2019, 116: 103213
https://doi.org/10.1016/j.compgeo.2019.103213
44 M Chwała. Undrained bearing capacity of spatially random soil for rectangular footings. Soil and Foundations, 2019, 59(5): 1508–1521
https://doi.org/10.1016/j.sandf.2019.07.005
45 R Pramanik, D K Baidya, N Dhang. Fuzzy reliability analysis for elastic settlement of surface footing. In: Proceedings of Geo-Congress 2019: Soil Erosion, Underground Engineering, and Risk Assessment. Reston, VA: American Society of Civil Engineers, 2019, 183–192
https://doi.org/10.1061/9780784482155.019
46 S Zhou, X Zhuang, T Rabczuk. Phase field modeling of brittle compressive-shear fractures in rock-like materials: A new driving force and a hybrid formulation. Computer Methods in Applied Mechanics and Engineering, 2019, 355: 729–752
https://doi.org/10.1016/j.cma.2019.06.021
47 S Zhou, T Rabczuk, X Zhuang. Phase field modeling of quasi-static and dynamic crack propagation: COMSOL implementation and case studies. Advances in Engineering Software, 2018, 122: 31–49
https://doi.org/10.1016/j.advengsoft.2018.03.012
48 D V Griffiths. Computation of bearing capacity factors using finite elements. Geotechnique, 1982, 32(3): 195–202
https://doi.org/10.1680/geot.1982.32.3.195
49 L A Zadeh. Fuzzy sets. Information and Control, 1965, 8(3): 338–353
https://doi.org/10.1016/S0019-9958(65)90241-X
50 H J Zimmermann. Fuzzy Set Theory and its Applications. 4th ed. Boston: Kluwer Academic, 2001
51 W M Dong, F S Wong. Fuzzy weighted averages and implementation of the extension principle. Fuzzy Sets and Systems, 1987, 21(2): 183–199
https://doi.org/10.1016/0165-0114(87)90163-1
52 G A Fenton, D V Griffiths. Three-dimensional probabilistic foundation settlement. Journal of Geotechnical and Geoenvironmental Engineering, 2005, 131(2): 232–239
https://doi.org/10.1061/(ASCE)1090-0241(2005)131:2(232)
53 G A Fenton, D V Griffiths. Risk Assessment in Geotechnical Engineering. New York: John Wiley and Sons, 2008
54 W F Chen, D J Han. Plasticity for Structural Engineers. Plantation, FL: J. Ross Publishing, 2007
55 I M Smith, D V Griffiths, L Margetts. Programming the Finite Element Method. 5th ed. Chichester: John Wiley and Sons, 2014
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