eprintid: 20186
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/02/01/86
datestamp: 2024-06-04 14:19:55
lastmod: 2024-06-04 14:19:55
status_changed: 2024-06-04 14:16:48
type: article
metadata_visibility: show
creators_name: Beddelee, A.A.A.M.
creators_name: Mohamad, H.
creators_name: Tee, B.P.
creators_name: Abdullah, R.A.
title: Instrumented Pile Load Test Using Distributed Fibre Optic Sensor: Automation in Data Processing
ispublished: pub
keywords: Curve fitting; Data handling; Load testing; Loads (forces); Optical fibers; Piles; Time domain analysis, Brillouin optical time domain analysis; Distributed fiber-optic sensors; Distributed optical fiber; Distributed optical fiber strain sensing; Fibre strains; Pile load; Pile load test; Pile performance; Strain profiles; Strain sensing, Finite element method
note: cited By 0; Conference of 1st International Conference on Emerging Smart Cities, ICESC 2022 ; Conference Date: 1 December 2022 Through 2 December 2022; Conference Code:306839
abstract: Distributed Optical Fibre Strain Sensing (DOFSS) instrumented pile load test yields a continuous strain profile along the pile shafts by Brillouin Optical Time Domain Analysis (BOTDA) technique, then further analyse to infer load transfer function (p-y curve) and shaft friction (t-z curve). The process of converting the raw DOFSS strain data to the meaningful pile load test report is however not that straightforward. It requires the process of trimming, positioning, flipping, averaging, curve fitting and other computations; often done manually and can result in inconsistency and interpretation errors of pile load performance. This paper aims to propose a standardised way of processing DOFSS data through an automated program incorporating the Finite Element Method (FEM). The developed algorithm was tested against several instrumented pile load tests with computational processing time in a matter of seconds. The interpretation of pile load-bearing capacity is compared between DOFSS and numerical analysis. © 2024, Institute of Technology PETRONAS Sdn Bhd.
date: 2024
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184286332&doi=10.1007%2f978-981-99-1111-0_45&partnerID=40&md5=32b057277333d4b6f17c6d4269fd0ae5
id_number: 10.1007/978-981-99-1111-0₄₅
full_text_status: none
publication: Lecture Notes in Civil Engineering
volume: 324
pagerange: 537-547
refereed: TRUE
citation:   Beddelee, A.A.A.M. and Mohamad, H. and Tee, B.P. and Abdullah, R.A.  (2024) Instrumented Pile Load Test Using Distributed Fibre Optic Sensor: Automation in Data Processing.  Lecture Notes in Civil Engineering, 324.  pp. 537-547.