Article, 2024

Failure analyses of open-ended pre-stressed high-strength concrete pile during driving: insights from distributed fiber optic sensing

Acta Geotechnica, ISSN 1861-1125, 10.1007/s11440-024-02255-6

Contributors

Zhu H.-H. [1] Wang J. [1] [2] Zhang W. 0000-0002-6853-9518 (Corresponding author) [1] Suo W.-B. [1] Shi B. [1] Klar A. 0000-0003-3304-714X (Corresponding author) [3] [4]

Affiliations

  1. [1] Nanjing University
  2. [NORA names: China; Asia, East];
  3. [2] Hong Kong Polytechnic University
  4. [3] Department of Physics
  5. [NORA names: Israel; Asia, Middle East; OECD];
  6. [4] Technical University of Denmark
  7. [NORA names: DTU Technical University of Denmark; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

Open-ended pre-stressed high-strength concrete (PHC) pipe piles are susceptible to progressive distortion and even failure in the vicinity of the pile toe during driving into stiff soil or rock strata. This paper presents an experimental investigation conducted as part of a power plant construction in Huainan, China. After 50 piles were driven in the initial phase, the toe of 9 piles were detected as damaged using the sonic echo testing method. In the second construction phase, four piles were instrumented with longitudinal and circumferential fiber optic cables, as well as discrete strain gauges. The recorded responses of pipe piles throughout their driving process are analyzed to reveal the causes of damages. The results show that a maximum circumferential tensile stress developed at a distance of 1/6 pile length above the pile toe, with its value three times greater than that in other cross-sections. This high circumferential stress results in transverse cracks and the failure of open-ended PHC piles and is believed to be related to the formation of soil plugs. The findings provide valuable insights into performance evaluation of driven open-ended PHC piles.

Keywords

Brillouin optical time-domain analysis (BOTDA), Failure analysis, Open-ended pile, Pile driving, Soil plug

Funders

  • National Natural Science Foundation of China
  • National Key Research and Development Program of China

Data Provider: Elsevier