Random field modelling of spatial variability in concrete : a review
- Author
- Wouter Botte (UGent) , Eline Vereecken (UGent) and Robby Caspeele (UGent)
- Organization
- Project
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- Multi-layer Bayesian life-cycle methodology for the structural assessment of existing concrete structures
- Applied Bayesian pre-posterior and life-cycle cost analyses for determining and optimizing the value of structural health monitoring for concrete structures
- Reliability-based assessment of the system behaviour of existing concrete structures taking into account spatio-temporal variations and uncertainties using random fields
- Abstract
- Concrete is a heterogeneous material, consisting of different constituents such as aggregates of different sizes and cement paste. Due to the heterogeneity of the concrete, its properties such as strength, stiffness, permeability, etc. show variations in space. In scientific literature, several investigations have shown the influence of spatial variation of material properties on the reliability of reinforced concrete structures, and it was concluded that spatial variability and spatial correlation should be accounted for to obtain accurate estimations of, e.g. the load-bearing capacity of degrading concrete structures. For this purpose, random fields are often applied in literature. To apply these random fields in a structural reliability analysis, a correlation model and corresponding correlation length need to be defined. Nevertheless, experimental results are not always available to derive the correlation model, and hence some modelling assumptions are required. However, there is no consensus yet in literature on which correlation model to apply for the different concrete properties. This paper provides an overview of different correlation models applied in literature in relation to the analysis of reinforced concrete structures.
- Keywords
- TIME-DEPENDENT RELIABILITY, PROBABILISTIC CAPACITY MODELS, RESPONSE VARIABILITY, CORROSION DAMAGE, DISCRETIZATION, DETERIORATION, SIMULATION, LENGTH, EXTENT, Empirical formulations, random fields, reinforced concrete, structural reliability, spatial variability, correlation model
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HBZ9350ZS9XRC0H0Z5KVEWFY
- MLA
- Botte, Wouter, et al. “Random Field Modelling of Spatial Variability in Concrete : A Review.” STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2024, doi:10.1080/15732479.2023.2248102.
- APA
- Botte, W., Vereecken, E., & Caspeele, R. (2024). Random field modelling of spatial variability in concrete : a review. STRUCTURE AND INFRASTRUCTURE ENGINEERING. https://doi.org/10.1080/15732479.2023.2248102
- Chicago author-date
- Botte, Wouter, Eline Vereecken, and Robby Caspeele. 2024. “Random Field Modelling of Spatial Variability in Concrete : A Review.” STRUCTURE AND INFRASTRUCTURE ENGINEERING. https://doi.org/10.1080/15732479.2023.2248102.
- Chicago author-date (all authors)
- Botte, Wouter, Eline Vereecken, and Robby Caspeele. 2024. “Random Field Modelling of Spatial Variability in Concrete : A Review.” STRUCTURE AND INFRASTRUCTURE ENGINEERING. doi:10.1080/15732479.2023.2248102.
- Vancouver
- 1.Botte W, Vereecken E, Caspeele R. Random field modelling of spatial variability in concrete : a review. STRUCTURE AND INFRASTRUCTURE ENGINEERING. 2024;
- IEEE
- [1]W. Botte, E. Vereecken, and R. Caspeele, “Random field modelling of spatial variability in concrete : a review,” STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2024.
@article{01HBZ9350ZS9XRC0H0Z5KVEWFY,
abstract = {{Concrete is a heterogeneous material, consisting of different constituents such as aggregates of different sizes and cement paste. Due to the heterogeneity of the concrete, its properties such as strength, stiffness, permeability, etc. show variations in space. In scientific literature, several investigations have shown the influence of spatial variation of material properties on the reliability of reinforced concrete structures, and it was concluded that spatial variability and spatial correlation should be accounted for to obtain accurate estimations of, e.g. the load-bearing capacity of degrading concrete structures. For this purpose, random fields are often applied in literature. To apply these random fields in a structural reliability analysis, a correlation model and corresponding correlation length need to be defined. Nevertheless, experimental results are not always available to derive the correlation model, and hence some modelling assumptions are required. However, there is no consensus yet in literature on which correlation model to apply for the different concrete properties. This paper provides an overview of different correlation models applied in literature in relation to the analysis of reinforced concrete structures.}},
articleno = {{2248102}},
author = {{Botte, Wouter and Vereecken, Eline and Caspeele, Robby}},
issn = {{1573-2479}},
journal = {{STRUCTURE AND INFRASTRUCTURE ENGINEERING}},
keywords = {{TIME-DEPENDENT RELIABILITY,PROBABILISTIC CAPACITY MODELS,RESPONSE VARIABILITY,CORROSION DAMAGE,DISCRETIZATION,DETERIORATION,SIMULATION,LENGTH,EXTENT,Empirical formulations,random fields,reinforced concrete,structural reliability,spatial variability,correlation model}},
language = {{eng}},
pages = {{14}},
title = {{Random field modelling of spatial variability in concrete : a review}},
url = {{http://doi.org/10.1080/15732479.2023.2248102}},
year = {{2024}},
}
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