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Conceptual Formulation for Crack Mapping Prediction Using Stochastic Modelling

Non-destructive testing (NDT) is an analysis method employed to assess material or structure properties without causing damage to the part. The Impactecho method is widely used in the construction field, featuring Rayleigh wave and pressure wave exploitation. Although the evaluation of concrete defe...

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Main Author: Chuah, Pei Lim
Format: Final Year Project / Dissertation / Thesis
Published: 2021
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utar.edu.my/4068/1/1602974_FYP_Report_%2D_PEI_LIM_CHUAH.pdf
http://eprints.utar.edu.my/4068/
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spelling my-utar-eprints.40682021-06-11T20:55:36Z Conceptual Formulation for Crack Mapping Prediction Using Stochastic Modelling Chuah, Pei Lim TA Engineering (General). Civil engineering (General) Non-destructive testing (NDT) is an analysis method employed to assess material or structure properties without causing damage to the part. The Impactecho method is widely used in the construction field, featuring Rayleigh wave and pressure wave exploitation. Although the evaluation of concrete defection has been carried out using NDT, the crack mapping model is rarely used due to the infantile methodology. Hence, this study aims to develop an integrated three-dimensional crack mapping prediction model using stochastic processes. In this study, the elastic wave propagation in a concrete medium was replicated using the Delta method and ABAQUS simulation. The proposed crack mapping model included ellipse-based interpolation and beta reflection methods for surface and cross-section analysis. The surface crack mapping identifies the crack's location and provides variance of wave velocities (beta value). The cross-section analysis correlates to the beta value showing a three-dimensional crack mapping prediction model with corresponding depth. The simulation result from the crack mapping model agrees well with the theoretical sample with the slightest discrepancies. This finding also considered the heterogeneity properties of concrete, which exhibits the lognormal distribution of Young’s modulus and Poisson ratio. Both deterministic and stochastic results confirmed that the model has high reliability to detect the concrete flaw despite the random distribution of engineering properties. In a nutshell, the conception formulation for crack mapping predicting using stochastic modelling is developed with higher accuracy and the least iterations of NDT needed. 2021 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/4068/1/1602974_FYP_Report_%2D_PEI_LIM_CHUAH.pdf Chuah, Pei Lim (2021) Conceptual Formulation for Crack Mapping Prediction Using Stochastic Modelling. Final Year Project, UTAR. http://eprints.utar.edu.my/4068/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Chuah, Pei Lim
Conceptual Formulation for Crack Mapping Prediction Using Stochastic Modelling
description Non-destructive testing (NDT) is an analysis method employed to assess material or structure properties without causing damage to the part. The Impactecho method is widely used in the construction field, featuring Rayleigh wave and pressure wave exploitation. Although the evaluation of concrete defection has been carried out using NDT, the crack mapping model is rarely used due to the infantile methodology. Hence, this study aims to develop an integrated three-dimensional crack mapping prediction model using stochastic processes. In this study, the elastic wave propagation in a concrete medium was replicated using the Delta method and ABAQUS simulation. The proposed crack mapping model included ellipse-based interpolation and beta reflection methods for surface and cross-section analysis. The surface crack mapping identifies the crack's location and provides variance of wave velocities (beta value). The cross-section analysis correlates to the beta value showing a three-dimensional crack mapping prediction model with corresponding depth. The simulation result from the crack mapping model agrees well with the theoretical sample with the slightest discrepancies. This finding also considered the heterogeneity properties of concrete, which exhibits the lognormal distribution of Young’s modulus and Poisson ratio. Both deterministic and stochastic results confirmed that the model has high reliability to detect the concrete flaw despite the random distribution of engineering properties. In a nutshell, the conception formulation for crack mapping predicting using stochastic modelling is developed with higher accuracy and the least iterations of NDT needed.
format Final Year Project / Dissertation / Thesis
author Chuah, Pei Lim
author_facet Chuah, Pei Lim
author_sort Chuah, Pei Lim
title Conceptual Formulation for Crack Mapping Prediction Using Stochastic Modelling
title_short Conceptual Formulation for Crack Mapping Prediction Using Stochastic Modelling
title_full Conceptual Formulation for Crack Mapping Prediction Using Stochastic Modelling
title_fullStr Conceptual Formulation for Crack Mapping Prediction Using Stochastic Modelling
title_full_unstemmed Conceptual Formulation for Crack Mapping Prediction Using Stochastic Modelling
title_sort conceptual formulation for crack mapping prediction using stochastic modelling
publishDate 2021
url http://eprints.utar.edu.my/4068/1/1602974_FYP_Report_%2D_PEI_LIM_CHUAH.pdf
http://eprints.utar.edu.my/4068/
_version_ 1705060934279495680
score 13.211869

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