Scale-Corrected Cone Resistance in Bimodal Sands across Chamber Boundary Conditions
DOI:
https://doi.org/10.71465/jgs70Keywords:
Cone Penetration Testing, Calibration Chamber, Bimodal Sands, Scale Effect, Boundary Conditions, Geotechnical EngineeringAbstract
Cone penetration testing is a fundamental in-situ geotechnical investigation method used extensively for site characterization and the determination of soil engineering properties. The interpretation of cone penetration resistance in granular materials is traditionally based on empirical correlations developed from large-scale calibration chamber tests. However, standard interpretations often fail to account for the complex mechanical behavior of bimodal sands, which possess distinct particle size distributions that fundamentally alter stress transmission and shear zone development. Furthermore, calibration chamber size and boundary conditions impose artificial physical constraints that cause measured cone resistance to deviate significantly from true field conditions. This paper presents a comprehensive investigation into the scale-corrected cone resistance of bimodal sands under various chamber boundary conditions. A rigorous experimental program utilizing a custom-designed macro-calibration chamber was executed alongside advanced analytical modeling to decouple the influences of bimodal particle interlocking and boundary proximity. We derived a novel scale-correction framework that mathematically integrates boundary stress-strain constraints with the specific micromechanical attributes of gap-graded granular assemblies. The results demonstrate that bimodal sands exhibit an amplified sensitivity to boundary rigidity, necessitating a non-linear scale correction protocol. The proposed analytical framework bridges the gap between laboratory calibration and field performance, offering a robust tool for practicing geotechnical engineers.
References
1. Ouyang, Z., & Mayne, P. W. (2019). Modified NTH method for assessing effective friction angle of normally consolidated and overconsolidated clays from piezocone tests. Journal of Geotechnical and Geoenvironmental Engineering, 145(10), 04019067.
2. Li, H., Duan, M., Yang, X., Wang, R., & Ouyang, Z. (2025). Modified CPTU parameters and SBTn chart for predicting shear behavior of organic soils at large strains. Engineering Geology, 108273.
3. Ouyang, Z., & Mayne, P. W. (2018). Effective stress strength parameters of clays from DMT. Geotechnical Testing Journal, 41(5), 851-867.
4. Ouyang, Z., & Mayne, P. W. (2017). Effective friction angle of soft to firm clays from flat dilatometer. Proceedings of the Institution of Civil Engineers-Geotechnical Engineering, 170(2), 137-147.
5. Liang, Z., Malik, B. A., Jie, S., Duan, M., & Ouyang, Z. (2025, June). Investigation of Installation and Uplift Resistance of Suction Caisson Foundation Based on CPTU and DMT Methods. In ISOPE International Ocean and Polar Engineering Conference (pp. ISOPE-I). ISOPE.
6. Li, Y. Z., Zhang, J. P., Chen, Z. Y., Wang, H. C., Zhang, K. X., Hu, S. S., ... & Dudley, M. (2026, September). Growth and Characterization of High-Quality Thick Epitaxial 4H-SiC Wafers for High Voltage Devices. In Defect and Diffusion Forum (Vol. 452, pp. 79-85). Trans Tech Publications Ltd.
7. Li, X., Wang, P., Li, G., & Zhang, Y. (2023). Design of a novel self-test-on-chip interface ASIC for capacitive accelerometers. IEEE Transactions on Circuits and Systems I: Regular Papers, 70(7), 2834-2843.
8. Xiong, S., Chen, T., Rupendra, A., Clement, C., Gasparri, E., & Lucchi, E. (2026). Embodied Carbon of Progressive Timber Integration in a 47-Storey Tropical High-Rise: A Singapore Public Housing Case Study. Building and Environment, 114910.
9. Yu, A., Pang, F., Yuan, Y., Huang, Y., Li, S., Yu, S., ... & Xia, L. (2023). Simultaneous current and vibration measurement based on interferometric fiber optic sensor. Optics & Laser Technology, 161, 109223.
10. Yu, A., Huang, Y., Li, S., Wang, Z., & Xia, L. (2023). All fiber optic current sensor based on phase-shift fiber loop ringdown structure. Optics Letters, 48(11), 2925-2928.
11. Zhang, S., Zhang, E., Cookson, J., Huang, P., & Yan, W. (2026). A hybrid XFEM-calibrated analytical framework for efficient fatigue crack growth prediction. International Journal of Fatigue, 109682.
12. Zhang, S., Huang, P., & Yan, W. (2024). A data-driven approach for railway in-train forces monitoring. Advanced Engineering Informatics, 59, 102258.
13. Lu, J., Xiong, H., Zhou, J., Lin, Z., & Feng, B. (2025, September). Collaborative Spatial and Channel Attention for Structural Vibration-based Gait Recognition. In 2025 IEEE International Joint Conference on Biometrics (IJCB) (pp. 1-11). IEEE.
14. Huang, S., Wang, S., Xu, C., Shi, Y., & Ye, F. (2019). Effect of grain gradation on the permeability characteristics of coarse-grained soil conditioned with foam for EPB shield tunneling. KSCE Journal of Civil Engineering, 23(11), 4662-4674.
15. Zhao, R., Tang, J., Zeng, W., Guo, Y., & Zhao, X. (2025). Towards human-like questioning: Knowledge base question generation with bias-corrected reinforcement learning from human feedback. Information Processing & Management, 62(3), 104044.
16. Zhao, R., Tang, J., Zeng, W., Chen, Z., & Zhao, X. (2024, October). Zero-shot knowledge graph question generation via multi-agent llms and small models synthesis. In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (pp. 3341-3351).
17. Li, Q., Ye, Q., Zhang, N., Zhang, W., & Hu, F. (2025). Digital-twin-enabled industrial IoT: Vision, framework, and future directions. IEEE Wireless Communications, 32(6), 173-181.
18. Li, S. (2025). Momentum, volume and investor sentiment study for us technology sector stocks—A hidden markov model based principal component analysis. PloS one, 20(9), e0331658.
19. Wang, S., Zhang, X., Wang, P., & Li, X. (2026). Design of Magnetic Sensor Array-Based PUFs for IoT Security. IEEE Transactions on Instrumentation and Measurement, 75, 1-9.
20. Zhang, B., Wang, S., Jiang, Y., Sui, D., Tu, Z., & Chu, D. (2025, July). Ask and Retrieve Knowledge: Towards Proactive Asking with Imperfect Information in Medical Multi-turn Dialogues. In Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1055-1065).
21. Liu, X., Yu, Z., Yao, Y., Yang, K., Zeng, H., & Chen, C. P. (2026). A Comprehensive Survey of Cross-Modal Retrieval: Breaking Through Modal Barriers. ACM Computing Surveys.
22. Wang, J., Malawade, A. V., Zhou, J., Yu, S. Y., & Al Faruque, M. A. (2024, January). Rs2g: Data-driven scene-graph extraction and embedding for robust autonomous perception and scenario understanding. In 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (pp. 7478-7487). IEEE.
23. Yang, Z., Ji, W., & Wang, Z. (2024). Adaptive joint configuration optimization for collaborative inference in edge-cloud systems. Science China Information Sciences, 67(4), 149103.
24. Peng, Y., & Li, H. (2023). Benthic foraminiferal morphogroups at the end-Guadalupian extinction in eastern Sichuan Basin, China. Palaeogeography, Palaeoclimatology, Palaeoecology, 618, 111522.
25. Gao, X. L., & Wang, M. (2026). Enhancing cancer immunotherapy antibody discovery: Genetic algorithms and risk-aware protein modeling. Available at SSRN 6033537.
26. Syed, C., Yuan, K., Sui, M., Chambers, E., & Wilson, J. (2026). LLM-GRU-GAN: A Multi-Modal Adversarial Framework for Transactional Fraud Detection.
27. Jiao, F., Dong, X., Gong, Y., Chen, W., Wang, Y., & Zhang, S. L. (2018). Solid confirmation for the origin of the low‐wave stray light in Raman spectra. Journal of Raman Spectroscopy, 49(12), 1968-1971.
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Copyright (c) 2026 Nana Nkrumah, Linda Acheampong (Author)

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