Distributed Fiber Optic Sensing and Data Processing of Axial Loaded Precast Piles

Sun, Yunxiang; Li, Xuan; Ren, Cun; Xu, Hongzhong; Ai-min, Han

doi:10.1109/access.2020.3023626

Cited by 18 publications

(7 citation statements)

References 27 publications

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“…In recent years, the optical fiber sensing technology has been widely used in the field of geo-engineering monitoring and has been rapidly developed with its unique advantages. In the detection and monitoring of foundation engineering, especially the detection of pile foundations, distributed optical fiber sensing technologies such as BOTDR/A and BOFDA can be used to perform fully distributed detection of the strain, force, and flexure status of the pile body [4,[57][58][59]. In tunnel and underground engineering structural health monitoring, DFOS has a prominent monitoring advantage, unveiled in a series of research [6,8,[60][61][62][63][64][65].…”

Section: Applications To Geotechnical Engineering Monitoringmentioning

confidence: 99%

DFOS Applications to Geo-Engineering Monitoring

et al. 2021

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Optical fiber sensing technology has developed rapidly since the 1980s with the development of the optical fiber and fiber optical communication technology. It is a new type of sensing technology that uses light as a carrier and optical fiber as a medium to sense and transmit external signals (measurands). Distributed fiber optical sensors (DFOS) can continuously measure the external physical parameters distributed along the geometric path of the optical fiber. Meanwhile, the spatial distribution and change information of the measured physical parameters over time can be obtained. This technology has unmatched advantages over traditional point-wise and electrical measurement monitoring technologies. This paper summarizes the state-of-the-art research of the application of the distributed optical fiber sensing technology in geo-engineering in the past 10 years, mainly including the advantages of DFOS, the challenges in geo-engineering monitoring, related fundamental theoretical issues, sensing performance of the optical sensing cables, distributed optical fiber monitoring system for geo-engineering, and applications of optical fiber sensing technology in geo-engineering.

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Section: Applications To Geotechnical Engineering Monitoringmentioning

confidence: 99%

DFOS Applications to Geo-Engineering Monitoring

et al. 2021

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“…Vastly known in the wide literature, the information on the structural integrity/health of the measured structure can be assessed from fibre optic data [4]. The data processing methods include (i) positioning [5,6], (ii) trimming [2], (iii) averaging [7,8], (iv) temperature compensation [9][10][11], measurement error correction [2], (v) denoising/smoothing/ filtering [12][13][14] and (vi) deconvolution [3].…”

Section: Introductionmentioning

confidence: 99%

Pile Capacity Checking Tool based on Distributed Fibre Optic Sensing for Instrumented Pile Load Test

Beddelee,

Mohamad,

Tee

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Pile load test instrumented using Distributed Optical Fibre Sensing (DOFS) offers a superior ability to assess pile capacity through continuous strain profiles as opposed to the discrete measurement method such as Vibrating Wire Strain gauges. Due to the vast amount of spatial data generated by the sensor, processing the raw data from DOFS is not always straightforward, often done manually with careful interpretation of various factors affecting the measurements. Experts are reconciling with different data processing algorithms to assess pile capacity (t-z curve) from the DOFS data and verify it, leading to a demand for standard practice. Currently, the verification is done by comparing the pile capacity assessed from DOFS data to the analysis from the commercially available numerical software. The software typically requires input parameters such as extensive soil data, structure geometry, and loading intensity. Some of these parameters are limited (due to bureaucracy or trade secrecy) for the pile load test contractor to verify the pile capacity computation. This paper presents a checking tool that has been developed to automate the processes including raw file parsing, initial processes (trimming, positioning, and averaging), and post processes (pile capacity computation and checking). The post processes utilised the simplified Finite Element Method (FEM) to perform the checking which only utilised the DOFS data. In this paper, an application of the developed tool to a DOFS instrumented pile load test in Kuala Lumpur is reported. This exercise provides the information that the tool can be helpful to verify the pile capacity computation from DOFS data with promising performance reliability at 95%.

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“…Three damage locations were identified under a total gross truck weight of 200 kN. Sun et al [15] presented an application of a distributed optical fiber sensor system based on the pulse-pre-pump BOTDA technology to monitor strains in a precast pile during a static load test. Defects in the pile foundation were monitored.…”

Section: Introductionmentioning

confidence: 99%

Prediction of crack opening in steel beam based on strains measured from distributed optical fiber sensor

Ying,

Morgese,

Ansari

et al. 2023

Meas. Sci. Technol.

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Optical fiber sensors based on the Brillouin optical time domain analysis (BOTDA) have good accuracy of crack opening displacement (COD) measurements. In this paper, we propose a method for COD quantification based on the area under the Brillouin frequency peaks induced by a crack. The study adopted a three-dimensional (3D) finite element model (FEM) to simulate the strain distribution within a segment of an optical fiber. The simulation results revealed that an increase in COD was associated with an increase in the Brillouin frequency peak area. The peak strain increased by 93 με when the COD increased from 30 μm to 110 μm. The numerical findings were proved experimentally by employing a BOTDA interrogator for distributed sensing of strains. Two cracks in a 15-m-long steel beam were detected with the smallest error of 13%. The COD was predicted from the areas under the crack-introduced strain peaks under varying loads of 97, 196, 294 and 392 N. The effect of different spatial resolutions (10, 20 and 50 cm) and intervals (1, 2.5 and 5 cm) on sensing performance was discussed. Compared to previous research, the 3D FEM not only accurately predicted the changes in distributed optical fibers with cracks but also simplified traditional theoretical analysis. For the first time, a method has been introduced to predict cracks by comparing the area under the Brillouin peaks. This approach not only enhanced linearity but also reduced errors. The proposed method can be easily implemented in engineering practice for multi-point crack sensing in civil infrastructure.

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Distributed Fiber Optic Sensing and Data Processing of Axial Loaded Precast Piles

Cited by 18 publications

References 27 publications

DFOS Applications to Geo-Engineering Monitoring

DFOS Applications to Geo-Engineering Monitoring

Pile Capacity Checking Tool based on Distributed Fibre Optic Sensing for Instrumented Pile Load Test

Prediction of crack opening in steel beam based on strains measured from distributed optical fiber sensor

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