Sensitivity estimation of cement paste properties in the microstructural characteristics

J. S. Kim, T. S. Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The porosity of cement paste affects its mechanical and thermal properties. Even when two specimens have the same degree of porosity each other, the void distribution considerably affects the behavior of material. To evaluate the material properties of cement pastes statistically, a sensitivity analysis using a First-Order Second-Moment (FOSM) method can be used. This is a probabilistic method to determine the probability distribution of output variables with random input variables. The porosity(φ) and continuity of void (L p area, Ω) are selected as input variables, and the thermal conductivity and stiffness of cement paste are selected as output variables. When a virtual specimen is generated from micro-level computerized tomographic (μ-CT) images of a real cement paste specimen, the specimens that have objective microstructures can be obtained using a reconstruction process. In this study, statistical distributions of input variables are from 64 virtual specimens and output variables are estimated from reconstructed specimens using finite element analysis. Based on sensitivity analysis, sensitivity measures of material properties on both characterizations are evaluated. From this results, the probability distributions of the responses can be estimated and the relation between input and output variables can be evaluated.

Original languageEnglish
Title of host publicationComputational Modelling of Concrete Structures - Proceedings of the conference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018
EditorsBernhard Pichler, Jan G. Rots, Günther Meschke
PublisherCRC Press/Balkema
Pages141-148
Number of pages8
ISBN (Print)9781138741171
DOIs
Publication statusPublished - 2018 Jan 1
EventConference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018 - Bad Hofgastein, Austria
Duration: 2018 Feb 262018 Mar 1

Publication series

NameComputational Modelling of Concrete Structures - Proceedings of the conference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018

Conference

ConferenceConference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018
CountryAustria
CityBad Hofgastein
Period18/2/2618/3/1

Fingerprint

Cements
Porosity
Probability distributions
Sensitivity analysis
Materials properties
Output
Voids
Material Properties
Method of moments
Sensitivity Analysis
Probability Distribution
Thermal conductivity
Thermodynamic properties
Stiffness
Moment Method
Finite element method
Probabilistic Methods
Thermal Properties
Statistical Distribution
Mechanical properties

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Civil and Structural Engineering

Cite this

Kim, J. S., & Han, T. S. (2018). Sensitivity estimation of cement paste properties in the microstructural characteristics. In B. Pichler, J. G. Rots, & G. Meschke (Eds.), Computational Modelling of Concrete Structures - Proceedings of the conference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018 (pp. 141-148). (Computational Modelling of Concrete Structures - Proceedings of the conference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018). CRC Press/Balkema. https://doi.org/10.1201/9781315182964-17
Kim, J. S. ; Han, T. S. / Sensitivity estimation of cement paste properties in the microstructural characteristics. Computational Modelling of Concrete Structures - Proceedings of the conference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018. editor / Bernhard Pichler ; Jan G. Rots ; Günther Meschke. CRC Press/Balkema, 2018. pp. 141-148 (Computational Modelling of Concrete Structures - Proceedings of the conference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018).
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Kim, JS & Han, TS 2018, Sensitivity estimation of cement paste properties in the microstructural characteristics. in B Pichler, JG Rots & G Meschke (eds), Computational Modelling of Concrete Structures - Proceedings of the conference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018. Computational Modelling of Concrete Structures - Proceedings of the conference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018, CRC Press/Balkema, pp. 141-148, Conference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018, Bad Hofgastein, Austria, 18/2/26. https://doi.org/10.1201/9781315182964-17

Sensitivity estimation of cement paste properties in the microstructural characteristics. / Kim, J. S.; Han, T. S.

Computational Modelling of Concrete Structures - Proceedings of the conference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018. ed. / Bernhard Pichler; Jan G. Rots; Günther Meschke. CRC Press/Balkema, 2018. p. 141-148 (Computational Modelling of Concrete Structures - Proceedings of the conference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Kim JS, Han TS. Sensitivity estimation of cement paste properties in the microstructural characteristics. In Pichler B, Rots JG, Meschke G, editors, Computational Modelling of Concrete Structures - Proceedings of the conference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018. CRC Press/Balkema. 2018. p. 141-148. (Computational Modelling of Concrete Structures - Proceedings of the conference on Computational Modelling of Concrete and Concrete Structures, EURO-C 2018). https://doi.org/10.1201/9781315182964-17