Field application of BOFDA-based distributed fiber optic sensing in static load testing of cast-in-place pile foundations

Distributed fiber optic sensing (DFOS) offers a transformative approach for monitoring geotechnical structures by providing continuous, high-resolution strain profiles along pile shafts. In this study, a Brillouin optical frequency domain analysis (BOFDA) system was deployed to monitor seven trial cast-in-place piles subjected to vertical static load tests. Optical fibers arranged in dual U-shaped loops were embedded along the reinforcement cages, enabling detailed measurement of axial strain, load transfer, and side friction across different soil strata. Results indicate that side friction distributions captured by BOFDA generally fall below conservative site investigation values from site investigations, confirming the conservative nature of conventional design parameters. However, anomalies, such as localized overestimation of side friction in weathered sandstone, were observed in weathered sandstone layers and premature slippage near the pile head at high load levels. These behaviors highlight the sensitivity of BOFDA monitoring and the complex interplay between soil stratigraphy, pile–soil interface conditions, and applied loading. The study demonstrates that while current design practice remains safe, distributed sensing provides valuable diagnostic insights into localized side friction mobilization, supporting more refined design, improved construction quality control, and future integration of DFOS data into load-transfer modeling.

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Publication Details

Journal
Frontiers in Built Environment
Published
2025-11-11
DOI
https://doi.org/10.3389/fbuil.2025.1700987
Primary Topic
Advanced Fiber Optic Sensors
Type
article
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article

Field application of BOFDA-based distributed fiber optic sensing in static load testing of cast-in-place pile foundations

Guihai Yan, Yanlin Gao, Yue Chen, Z. Ryan Tian et al.
Frontiers in Built Environment
Advanced Fiber Optic Sensors
article

Field application of BOFDA-based distributed fiber optic sensing in static load testing of cast-in-place pile foundations

Guihai Yan, Yanlin Gao, Yue Chen, Z. Ryan Tian, Yajun Wu, Mao-Song Huang
article en

Abstract

Distributed fiber optic sensing (DFOS) offers a transformative approach for monitoring geotechnical structures by providing continuous, high-resolution strain profiles along pile shafts. In this study, a Brillouin optical frequency domain analysis (BOFDA) system was deployed to monitor seven trial cast-in-place piles subjected to vertical static load tests. Optical fibers arranged in dual U-shaped loops were embedded along the reinforcement cages, enabling detailed measurement of axial strain, load transfer, and side friction across different soil strata. Results indicate that side friction distributions captured by BOFDA generally fall below conservative site investigation values from site investigations, confirming the conservative nature of conventional design parameters. However, anomalies, such as localized overestimation of side friction in weathered sandstone, were observed in weathered sandstone layers and premature slippage near the pile head at high load levels. These behaviors highlight the sensitivity of BOFDA monitoring and the complex interplay between soil stratigraphy, pile–soil interface conditions, and applied loading. The study demonstrates that while current design practice remains safe, distributed sensing provides valuable diagnostic insights into localized side friction mobilization, supporting more refined design, improved construction quality control, and future integration of DFOS data into load-transfer modeling.

Frontiers in Built EnvironmentVol. 11
Chengdu Surveying Geotechnical Research Institute (CN), Shenzhen Institute of Building Research (China) (CN)
Openalex Percentile: Top 67%
Advanced Fiber Optic Sensors
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Field application of BOFDA-based distributed fiber optic sensing in static load testing of cast-in-place pile foundations — Guihai Yan, Yanlin Gao, et al. · Frontiers in Built Environment (2025) | TGRS Research Map | TGRS