Random Field Model for Longitudinal Vibration Analysis of Pipe Piles in Bidirectionally Heterogeneous Soil
Source abstract
Abstract
ABSTRACT The inherent spatial variability of soil severely impacts the vibration of pipe piles, undermining the reliability of low‐strain integrity testing. Conventional deterministic models fail to adequately capture these effects. This study proposes a novel random field model to analyze the longitudinal vibration of pipe piles in bidirectionally heterogeneous soil. The model integrates the radial and vertical variability of the external soil with the vertical variability and mass inertial effects of the soil plug. Parametric analysis reveals that the degree of the soil variability in shear wave velocity has a dual impact on the vibration characteristics. For short piles, this variability acts as detrimental interference, increasing the failure probability of pile length detection. Conversely, the effect differs for long piles, which are often characterized by weak signals. For these piles, a moderate degree of soil variability can actually enhance the pile‐toe reflection, serving as a “natural signal enhancer” and significantly reducing the failure probability. Furthermore, a strong correlation was identified between construction disturbance and soil variability. The randomness of the external soil is the dominant factor determining failure modes, rather than the randomness of the soil plug. This research establishes a robust probabilistic framework for reinterpreting signals from low‐strain pile testing in variable soils, providing valuable theoretical guidance for improving the accuracy of pile integrity assessments.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Geotechnical Engineering and Soil Mechanics · Railway Engineering and Dynamics · Dam Engineering and Safety
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Zhejiang Sci‐Tech University Hangzhou China
Zhejiang Key Laboratory of Green, Digital and Intelligent (GDI) Renovation for Urban Infrastructures Hangzhou China
Research Institute of Qingtian Qinggong Intelligent Control Valve Lishui Zhejiang China
Zhejiang Tsingshan Iron & Steel Co., Ltd Lishui Zhejiang China
Funding
National Natural Science Foundation of China · Natural Science Foundation of Zhejiang Province · Primary Research and Development Plan of Zhejiang Province
References (47)
Show source-provided references
1. 10.1061/JMCEA3.000239210.1061/JMCEA3.0002392 ↗
2. Dynamic Soil Reactions in Radially Non‐Homogeneous Soil Media
3. 10.1061/(ASCE)0733‐9410(1990)116:6(1008)10.1061/(ASCE)0733‐9410(1990)116:6(1008) ↗
4. 10.1061/(ASCE)0733‐9410(1988)114:9(1002)10.1061/(ASCE)0733‐9410(1988)114:9(1002) ↗
5. 10.12989/sem.2000.10.4.29910.12989/sem.2000.10.4.299 ↗
6. 10.1139/t92‐06410.1139/t92‐064 ↗
7. 10.1016/j.compgeo.2022.10489410.1016/j.compgeo.2022.104894 ↗
8. 10.1016/j.soildyn.2024.10896910.1016/j.soildyn.2024.108969 ↗
9. 10.1002/nag.102410.1002/nag.1024 ↗
10. 10.1002/nag.75510.1002/nag.755 ↗
11. 10.1007/s10518‐021‐01272‐010.1007/s10518‐021‐01272‐0 ↗
12. 10.1016/j.compgeo.2020.10394210.1016/j.compgeo.2020.103942 ↗
13. 10.1016/j.apm.2022.11.02710.1016/j.apm.2022.11.027 ↗
14. 10.1016/j.soildyn.2024.10896010.1016/j.soildyn.2024.108960 ↗
15. 10.1016/j.soildyn.2017.03.02510.1016/j.soildyn.2017.03.025 ↗
16. Della Corte A. · 2024 · 43810.1201/9781003431749-58 ↗
17. J.Pérez‐Herreros “Dynamic Soil‐Structure Interaction of Pile Foundations: Experimental and Numerical Study” (Doctoral diss. 2020).
18. 10.1007/s11440‐021‐01274‐x10.1007/s11440‐021‐01274‐x ↗
19. 10.3390/math809144210.3390/math8091442 ↗
20. 10.1007/s11440-025-02779-510.1007/s11440-025-02779-5 ↗
21. 10.1016/j.gete.2025.10074410.1016/j.gete.2025.100744 ↗
22. 10.1061/AJGEB6.000051710.1061/AJGEB6.0000517 ↗
23. Reliability Evaluation of Shallow Foundation Bearing Capacity on c'φ' Soils
24. 10.1139/t99‐03810.1139/t99‐038 ↗
25. 10.1061/(ASCE)0733‐9399(1989)115:5(1035)10.1061/(ASCE)0733‐9399(1989)115:5(1035) ↗
26. 10.1061/AJRUA6.RUENG‐159210.1061/AJRUA6.RUENG‐1592 ↗
27. 10.3390/buildings1508131410.3390/buildings15081314 ↗
28. 10.1080/17486025.2024.238983110.1080/17486025.2024.2389831 ↗
29. 10.1016/j.compgeo.2025.10756710.1016/j.compgeo.2025.107567 ↗
30. 10.1016/j.sandf.2012.11.02510.1016/j.sandf.2012.11.025 ↗
31. 10.1016/j.compgeo.2025.10715910.1016/j.compgeo.2025.107159 ↗
32. 10.1139/cgj‐2025‐041410.1139/cgj‐2025‐0414 ↗
33. 10.1016/j.compgeo.2024.10649010.1016/j.compgeo.2024.106490 ↗
34. 10.1016/j.oceaneng.2026.12501810.1016/j.oceaneng.2026.125018 ↗
35. 10.1061/IJGNAI.GMENG‐842610.1061/IJGNAI.GMENG‐8426 ↗
36. 10.1016/j.compgeo.2021.10414010.1016/j.compgeo.2021.104140 ↗
37. 10.1016/j.oceaneng.2024.11817910.1016/j.oceaneng.2024.118179 ↗
38. 10.1016/j.oceaneng.2024.11874610.1016/j.oceaneng.2024.118746 ↗
39. 10.1016/j.compgeo.2007.10.00410.1016/j.compgeo.2007.10.004 ↗
40. Random Field Model of Soil Parameters and the Application in Reliability Analysis of Laterally Loaded Pile10.1016/j.soildyn.2021.106821 ↗
41. 10.1016/j.oceaneng.2024.11818210.1016/j.oceaneng.2024.118182 ↗
42. 10.1016/j.soildyn.2021.10664810.1016/j.soildyn.2021.106648 ↗
43. 10.1016/j.compgeo.2019.01.00310.1016/j.compgeo.2019.01.003 ↗
44. 10.1016/j.soildyn.2016.02.01510.1016/j.soildyn.2016.02.015 ↗
45. 10.1016/j.oceaneng.2018.03.00810.1016/j.oceaneng.2018.03.008 ↗
46. 10.1139/cgj‐2016‐030910.1139/cgj‐2016‐0309 ↗
47. Ghanem R. G. · 2003