Skip to main content
Log in

Statistical Assessment of Bearing Capacity of Cast-In-Situ Bored Piles Using Direct CPT and SPT Methods: A Case Study

  • Case Report
  • Published:
Indian Geotechnical Journal Aims and scope Submit manuscript

Abstract

Determining bearing capacity of piles has always been challenging for geotechnical engineers. Various methods are recognized for determining pile capacity, like analytical approaches based on laboratory testing and pile load tests which are time-consuming and expensive. Hence, a series of empirical approaches were developed to predict the pile capacity from in-situ tests, such as cone penetration test (CPT) and standard penetration test (SPT). This paper investigates the pile capacity directly based on SPT and CPT data because it is simple, fast, economical, and similar to a pile. Thus, the prediction capability of the four CPT and the two SPT methods is compared with direct field pile loading tests performed on five bored piles implemented in the Shahid Rajaee Port project. Six statistical criteria were selected for evaluating the prediction methods. The performance of different approaches was compared considering the sum of the Rank Index (RI) from the statistical indicators. According to the statistical studies, the Schmertmann and the Meyerhof methods indicated the best agreement with field test results among empirical CPT and SPT methods, respectively. The proposed case study investigation can help engineers benefit from in-situ SPT and CPT tests as a simple method to improve accuracy in bored pile design.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24
Fig. 25

Similar content being viewed by others

Data Availability

The datasets generated or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Raisa PS, Chandrakaran S (2022) Evaluation of Bearing capacity for cast in-situ bored piles. In: Satyanarayana Reddy CNV, Muthukkumaran K, Satyam N, Vaidya R (eds) Ground characterization and foundations lecture notes in civil engineering, vol 167. Springer, Singapore. https://doi.org/10.1007/978-981-16-3383-6_53

    Chapter  Google Scholar 

  2. Gandhi SR (2016) Observations on pile design and construction practices in India. Indian Geotech J 46:1–15. https://doi.org/10.1007/s40098-015-0171-5

    Article  Google Scholar 

  3. Oteuil A, Oralbek A, Mukhamet T et al (2022) robust analysis and design of bored pile considering uncertain parameters. Indian Geotech J 52:720–734. https://doi.org/10.1007/s40098-021-00588-7

    Article  Google Scholar 

  4. Karandikar DV (2018) Challenges to quality control in bored cast-in-situ piling in growing urban environment. Indian Geotech J 48:360–376. https://doi.org/10.1007/s40098-017-0277-z

    Article  Google Scholar 

  5. Jamshidi Chenari R, Kamyab Farahbakhsh H, Heidarie Golafzani S, Eslami A (2018) Non-stationary realisation of CPT data: considering lithological and inherent heterogeneity. Georisk Assess Manag Risk Eng Syst Geohazards 12:1–14

    Google Scholar 

  6. Leetsaar L, Korkiala-Tanttu L, Kurnitski J (2022) CPT, CPTu and DCPT methods for predicting the ultimate bearing capacity of cast in situ displacement piles in silty soils. Geotech Geol Eng. https://doi.org/10.1007/s10706-022-02292-6

  7. Lin J, Hou X, Cai G, Liu S (2022) Uncertainty analysis of axial pile capacity in layered soils by the piezocone penetration test. Front Earth Sci 10:861086. https://doi.org/10.3389/feart.2022.861086

    Article  Google Scholar 

  8. Cai G, Liu S, Tong L, Du G (2009) Assessment of direct CPT and CPTU methods for predicting the ultimate bearing capacity of single piles. Eng Geol 104(3–4):211–222

    Article  Google Scholar 

  9. Shooshpasha I, Hasanzadeh A, Taghavi A (2013) Prediction of the axial bearing capacity of piles by SPT based and numerical design methods. Int J GEOMATE 4:560–564

    Google Scholar 

  10. Eslami A, Aflaki E, Hosseini B (2011) Evaluating CPT and CPTu based pile bearing capacity estimation methods using Urmiyeh Lake Causeway piling records. Sci Iranica 18(5):1009–1019

    Article  Google Scholar 

  11. Eslami A, Gholami M (2006) Analytical model for the ultimate bearing capacity of foundations from cone resistance. Sci Iranica 13(3):223–233

    Google Scholar 

  12. Fellenius BH (2019) Basics of foundation design. Pile Buck International Inc, Vero Beach

    Google Scholar 

  13. Benali A, Nechnech A, Bouafia A (2013) Bored pile capacity by direct SPT methods applied to 40 case histories. Civ Environ Res 5:118–122

    Google Scholar 

  14. Dung NT, Chung SG, Kim SR, Beak SH (2011) Applicability of the SPT-based methods for estimating toe bearing capacity of driven PHC piles in the thick deltaic deposits. KSCE J Civ Eng 15(6):1023–1031

    Article  Google Scholar 

  15. Shah A, Advani P, Patel J, Soni H (2017) Estimation of load carrying capacity of bored cast in-situ piles. Int J Eng Technol Sci Res 4(9):814–819

    Google Scholar 

  16. Jesswein M, Liu J (2022) A new SPT-based method for estimating axial capacity of driven piles in glacial deposits. Geotech Geol Eng 40:1043–1060. https://doi.org/10.1007/s10706-021-01941-6

    Article  Google Scholar 

  17. Henrina S et al (2019) Comparison of direct SPT method for calculating axial capacity of piles in Jakarta Area. In: IOP conference series: materials science and engineering, vol 673, p 012027

  18. Shariatmadari N, Eslami A, Karimpour-Fard M (2008) Bearing capacity of driven piles in sands from SPT-applied to 60 case histories. Iran J Sci Tech 32(B2):125–140

    Google Scholar 

  19. Benali A, Boukhatem B, Hussien MN, Nechnech A, Karray M (2017) Prediction of axial capacity of piles driven in noncohesive soils based on neural networks approach. J Civ Eng Manag 23(23):393–408

    Article  Google Scholar 

  20. Fateh AMA, Eslami A, Fahimifar A (2017) Direct CPT and CPTu methods for determining bearing capacity of helical piles. Mar Georesour Geotechnol 35(2):193–207

    Article  Google Scholar 

  21. Sari PTK, Wardani MK (2021) The comparison of pile bearing capacity using 8 direct method based on CPT data in Surabaya Area. In: IOP conference series: materials science and engineering, vol 1144, p 012091. https://doi.org/10.1088/1757-899X/1144/1/012091

  22. Schmertmann JH (1978) Guidelines for cone penetration test: performance and design (No. FHWA-TS-78-209). United States. Federal Highway Administration.

  23. De Kuiter J, Beringen FL (1979) Pile foundations for large North Sea structures. Mar Georesour Geotechnol 3(3):267–314

    Article  Google Scholar 

  24. Bustamante M, Gianeselli L (1982) Pile bearing capacity prediction by means of static penetrometer CPT. In: Proceedings of the 2-nd European symposium on penetration testing, pp 493–500

  25. Eslami A, Fellenius BH (1997) Pile capacity by direct CPT and CPTu methods applied to 102 case histories. Can Geotech J 34(6):886–904

    Article  Google Scholar 

  26. Eslami A, Fellenius B H (1995) Toe bearing capacity of piles from cone penetration test (CPT) data. In: Proceedings of the international symposium on cone penetration testing, CPT. vol 95, pp 4–5

  27. Eslami A, Fellenius BH (2004) Cpt and Cptu data for soil profle interpretation: review of methods and a proposed new approach. Iran J Sci Technol Trans B Eng 28(1):69–86

    Google Scholar 

  28. Abu-Farsakh MY, Titi HH (2004) Assessment of direct cone penetration test methods for predicting the ultimate capacity of friction driven piles. J Geotech Geoenviron Eng 130(9):935–944

    Article  Google Scholar 

  29. Cai G, Liu S, Puppala AJ (2012) Reliability assessment of CPTU-based pile capacity predictions in soft clay deposits. Eng Geol 141:84–91

    Article  Google Scholar 

  30. Alielahi H, Adampira M (2016) Comparison between empirical and experimental ultimate bearing capacity of bored piles-a case study. Arab J Geosci 9:78. https://doi.org/10.1007/s12517-015-2211-y

    Article  Google Scholar 

  31. Amirmojahedi M, Abu-Farsakh M (2019) Evaluation of 18 direct CPT methods for estimating the ultimate pile capacity of driven piles. Transp Res Rec 2673(9):127–141

    Article  Google Scholar 

  32. Moshfeghi S, Eslami A (2019) Reliability-based assessment of drilled displacement piles bearing capacity using CPT records. Mar Georesour Geotechnol 37(1):67–80. https://doi.org/10.1080/1064119X.2018.1448493

    Article  Google Scholar 

  33. Heidarie Golafzani S, Jamshidi Chenari R, Eslami A (2020) Reliability based assessment of axial pile bearing capacity: static analysis, SPT and CPT-based methods. Georisk Assess Manag Risk Eng Syst Geohazards 14(3):216–230. https://doi.org/10.1080/17499518.2019.1628281

    Article  Google Scholar 

  34. Heidarie Golafzani S, Eslami A, Jamshidi Chenari R (2020) Probabilistic assessment of model uncertainty for prediction of pile foundation bearing capacity; static analysis, SPT and CPT based methods. Geotech Geol Eng 38:5023–5041. https://doi.org/10.1007/s10706-020-01346-x

    Article  Google Scholar 

  35. Moshfeghi S, Eslami A (2018) Study on pile ultimate capacity criteria and CPT-based direct methods. Int J Geotech Eng 12(1):28–39. https://doi.org/10.1080/19386362.2016.1244150

    Article  Google Scholar 

  36. Obeta OIN, Onyia ME (2019) Comparative analysis of methods of pile-bearing capacity evaluation using CPT logs from tropical soils. J South Afr Inst Civ Eng 60(1):44–55

    Google Scholar 

  37. Ebrahimian B and Movahed V (2016) Application of an evolutionary-based approach in evaluating pile bearing capacity using CPT results, Taylor&Francis 5302

  38. Valikhah F, Eslami A, Veiskarami M (2019) Load-displacement behavior of driven piles in sand using CPT-based stress and strain fields. Int J Civ Eng 17:1879–1893. https://doi.org/10.1007/s40999-018-0388-7

    Article  Google Scholar 

  39. Pham TA, Tran VQ, Vu H-LT, Ly H-B (2020) Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity. PLoS ONE 15(12):e0243030. https://doi.org/10.1371/journal.pone.0243030

    Article  Google Scholar 

  40. Harandizadeh H, Toufigh MM, Toufigh V (2019) Application of improved ANFIS approaches to estimate bearing capacity of piles. Soft Comput 23(19):9537–9549

    Article  Google Scholar 

  41. Wang Z, Zhang N, Cai G, Li Qi, Wang J (2016) Assessment of CPTU and static load test methods for predicting ultimate bearing capacity of pile. Mar Georesour Geotechnol. https://doi.org/10.1080/1064119X.2016.1236859

    Article  Google Scholar 

  42. Cai G, Liu S, Puppala A (2011) Evaluation of pile bearing capacity from piezocone penetration test data in soft jiangsu quaternary clay deposits. Mar Georesour Geotechnol 29(3):177–201. https://doi.org/10.1080/1064119X.2011.556887

    Article  Google Scholar 

  43. Wei Y et al (2020) Evaluation of ultimate bearing capacity of prestressed high-strength concrete pipe pile embedded in saturated sandy soil based on in-situ test. Appl Sci 10(18):6269. https://doi.org/10.3390/app10186269

    Article  Google Scholar 

  44. Silvey A (2018) Evaluation and development of CPT Based Pile Design in Nebraska Soils. Civil Engineering Theses, Dissertations, and Student Research. 127. http://digitalcommons.unl.edu/civilengdiss/127

  45. Heidari P, Ghazavi M (2021) Statistical evaluation of CPT and CPTu based methods for prediction of axial bearing capacity of piles. Geotech Geol Eng 39:1259–1287. https://doi.org/10.1007/s10706-020-01557-2

    Article  Google Scholar 

  46. Meyerhof GG (1976) Bearing capacity and settlement of pile foundations. J Geotech Geoenviron Eng 102:197–228

    Google Scholar 

  47. Reese J, O’Neill M, Wang S (1988) Drilled shaft tests, interchange of west belt roll road and US290 highway

  48. FHWA (1992) Static testing of deep foundations, US Department of Transportation, Publication No: FHWA-SA-91-042

  49. Cherian A (2021) Assessment of pile capacity using bidirectional static load test (BDSLT). Indian Geotech J 51:369–375. https://doi.org/10.1007/s40098-020-00447-x

    Article  Google Scholar 

  50. OCDI (2009) Technical standards and commentaries for port and harbor facilities in Japan. Translator and Publisher The Overseas Coastal Area Development Institute of, Japan

  51. Fellenius BH (1980) The analysis of results from routine pile load tests. Ground Eng 13:19–31

    Google Scholar 

  52. Chin FK (1978) Diagnosis of pile condition. Geotech Eng 9:85–104

    Google Scholar 

  53. Briaud JL, Tucker LM (1988) Measured and predicted axial response of 98 piles. J Geotech Eng 114(9):984–1001

    Article  Google Scholar 

  54. Long JH, Wysockey MH (1999) Accuracy of methods for predicting axial capacity of deep foundations. In: Proceedings of the OTRC '99 Conf.: Analysis, Design, Construction, and Testing of Deep Foundation, GSP No. 88, ASCE, Reston, Va., pp 190–195

  55. Titi H H, Abu-Farsakh M Y (1999) Evaluation of Bearing Capacity of Piles from Cone Penetration Test Data. Louisiana Transportation Research Center, Baton Rouge, La. Rep. No. FHWA/LA.99/334

  56. Hung LC, Kim SR (2015) CPT-based method for toe resistance of driven piles in sand. Proc Inst Civ Eng Geotech Eng 168(6):498–513

    Article  Google Scholar 

Download references

Acknowledgements

The authors hereby appreciate the Sahel Omid Iranian Consulting Engineers for providing information relevant to this study.

Funding

The study received no funding from any source.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hamid Alielahi.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alielahi, H., Mousavi, D. & Nadernia, Z.a. Statistical Assessment of Bearing Capacity of Cast-In-Situ Bored Piles Using Direct CPT and SPT Methods: A Case Study. Indian Geotech J 53, 698–714 (2023). https://doi.org/10.1007/s40098-022-00690-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40098-022-00690-4

Keywords

Navigation