All Issue

2026 Vol.42, Issue 4 Preview Page
31 August 2026. pp. 145-156
Abstract
References
1

Alkroosh, I.S., Bahadori, M., Nikraz, H., and Bahadori, A. (2015), “Regressive Approach for Predicting Bearing Capacity of Bored Piles from Cone Penetration Test Data”, Journal of Rock Mechanics and Geotechnical Engineering, Vol.7, No.5, pp.584-592, https://doi.org/10.1016/j.jrmge.2015.06.011.

10.1016/j.jrmge.2015.06.011
2

Amjad, M., Ahmad, I., Ahmad, M., Wróblewski, P., Kamiński, P., and Amjad, U. (2022), “Prediction of Pile Bearing Capacity Using XGBoost Algorithm: Modeling and Performance Evaluation”, Applied Sciences, Vol.12, No.4, 2126, https://doi.org/10.3390/app12042126.

10.3390/app12042126
3

Aoki, N. and Velloso, D. de A. (1975), “An Approximate Method to Estimate the Bearing Capacity of Piles”, Proceedings of the 5th Pan-American Conference on Soil Mechanics and Foundation Engineering, Buenos Aires, pp.367-376.

4

Harandizadeh, H. and Toufigh, V. (2020), “Application of Developed New Artificial Intelligence Approaches in Civil Engineering for Ultimate Pile Bearing Capacity Prediction in Soil based on Experimental Datasets”, Iranian Journal of Science and Technology, Transactions of Civil Engineering, Vol.44, pp.545-559, https://doi.org/10.1007/s40996-019-00332-5.

10.1007/s40996-019-00332-5
5

Hsiao, M.H., Chen, Y.J., Phoon, K.K., and Jos, M.A. (2025), “Statistical Evaluation of Pre-bored PC Pile behavior under Axial Compression”, Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, pp.1-44, https://doi.org/10.1080/17499518.2025.2549417.

10.1080/17499518.2025.2549417
6

Jeong, S., Kim, D., and Park, J. (2021), “Empirical Bearing Capacity Formula for Steel Pipe Prebored and Precast Piles based on Field Tests”, International Journal of Geomechanics, Vol.21, No.9, 04021165, https://doi.org/10.1061/(ASCE)GM.1943-5622.0002112.

10.1061/(ASCE)GM.1943-5622.0002112
7

Kim, K.S. (2025), “Deep Learning-based Prediction of the Axial Bearing Capacity of PHC Auger-drilled Piles Using Dynamic Load Test Data”, Journal of the Korean Geotechnical Society, Vol.41, No.5, pp.143-155, https://doi.org/10.7843/kgs.2025.41.5.143.

10.7843/kgs.2025.41.5.143
8

Kobayashi, K. and Ogura, H. (2007), “Vertical Bearing Capacity of Bored Pre-cast Pile with Enlarged base Considering Diameter of the Enlarged Excavation around Pile Toe”, Advances in Deep Foundations, CRC Press, pp.289-296.

10.1201/9780203938416-26
9

Kumar, M., Kumar, D.R., Khatti, J., Samui, P., and Grover, K.S. (2024), “Prediction of Bearing Capacity of Pile Foundation Using Deep Learning Approaches”, Frontiers of Structural and Civil Engineering, Vol.18, No.6, pp.870-886, https://doi.org/10.1007/s11709-024-1085-z.

10.1007/s11709-024-1085-z
10

Lee, I.M. and Lee, J.H. (1996), “Prediction of Pile Bearing Capacity Using Artificial Neural Networks”, Computers and Geotechnics, Vol.18, No.3, pp.189-200, https://doi.org/10.1016/0266-352X(95)00027-8.

10.1016/0266-352X(95)00027-8
11

Leung, Y.F., Klar, A., and Soga, K. (2010), “Theoretical Study on Pile Length Optimization of Pile Groups and Piled Rafts”, Journal of Geotechnical and Geoenvironmental Engineering, Vol.136, No.2, pp.319-330, https://doi.org/10.1061/(ASCE)GT.1943-5606.0000206.

10.1061/(ASCE)GT.1943-5606.0000206
12

Meyerhof, G.G. (1976), “Bearing Capacity and Settlement of Pile Foundations”, Journal of the Geotechnical Engineering Division, Vol.102, No.3, pp.197-228, https://doi.org/10.1061/AJGEB6.0000243.

10.1061/AJGEB6.0000243
13

Pham, T.A., Ly, H.-B., Tran, V.Q., Giap, L. Van, Vu, H.-L.T., and Duong, H.-A.T. (2020), “Prediction of Pile Axial Bearing Capacity Using Artificial Neural Network and Random Forest”, Applied Sciences, Vol.10, No.5, 1871, https://doi.org/10.3390/app10051871.

10.3390/app10051871
14

Seo, S., Kim, G., Park, J.B., Kim, J., Park, Y.B., and Chung, M. (2025), “Leveraging Data-driven Machine Learning Techniques to Enhance Bearing Capacity Estimation in Prebored and Precast Piles”, Expert Systems with Applications, Vol.285, 128070, https://doi.org/10.1016/j.eswa.2025.128070.

10.1016/j.eswa.2025.128070
15

Shepard, D. (1968), “A Two-dimensional Interpolation Function for Irregularly-spaced Data”, Proceedings of the 1968 23rd ACM National Conference, pp.517-524.

10.1145/800186.810616
16

Snoek, J., Larochelle, H., and Adams, R.P. (2012), “Practical Bayesian Optimization of Machine Learning Algorithms”, Advances in Neural Information Processing Systems, Vol.25.

17

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., and Polosukhin, I. (2017), “Attention is All You Need”, Advances in Neural Information Processing Systems, Vol.30.

18

Woo, G.S., Park, J.B., Seo, M.J., and Lee, J.S. (2016), “Evaluation of Allowable Bearing Capacity of 600 mm Diameter Preboring PHC Piles Using Dynamic Load Test”, Journal of the Korean Geotechnical Society, Vol.32, No.11, pp.61-72, https://doi.org/10.7843/kgs.2016.32.11.61.

10.7843/kgs.2016.32.11.61
19

Yin, F., Hao, Y., Xiao, T., Shao, Y., and Yuan, M. (2021), “The Prediction of Pile Foundation Buried Depth based on BP Neural Network Optimized by Quantum Particle Swarm Optimization”, Advances in Civil Engineering, Vol.2021, No.1, 2015408, https://doi.org/10.1155/2021/2015408.

10.1155/2021/2015408
20

Youwai, S. and Thongnoo, C. (2025), “Load-deformation Prediction of Bored Piles Using Sequential Soil Profile Encoding with Transformer Architecture: A Study of Bangkok Subsoil”, Expert Systems with Applications, Vol.275, 127085, https://doi.org/10.1016/j.eswa.2025.127085.

10.1016/j.eswa.2025.127085
Information
  • Publisher :The Korean Geotechnical Society
  • Publisher(Ko) :한국지반공학회
  • Journal Title :Journal of the Korean Geotechnical Society
  • Journal Title(Ko) :한국지반공학회 논문집
  • Volume : 42
  • No :4
  • Pages :145-156
  • Received Date : 2026-07-07
  • Revised Date : 2026-07-21
  • Accepted Date : 2026-07-21