Development of a Multi-scale Surrogate-based Tool for Composite Property Estimation

Research output: Contribution to conferencePaper

22 Downloads (Pure)

Abstract

In this study a numerical-based surrogate model is proposed to estimate the effective elastic properties of unidirectional composite lamina, while accounting for geometric and material property uncertainties at both micro and meso scales. In the multi-scale build-up nature of composites many uncertainties occur, mainly in material properties and geometric characteristics. These uncertainties present a challenge in estimating composite material properties. The currently available property estimation/homogenisation tools are mainly in two categories: analytical equations based on an assumed model configuration and finite element homogenisation methods that are more flexible and accurate, but computationally expensive. Hence, this study develops surrogate models capable of representing various uncertainties based on established numerical homogenisation. This tool significantly decreases analysis duration compared with frequent use of full FEA. Thus, represents many composite uncertainties in an efficient way. This tool is particularly useful for developing reliability-based composite structures design approaches.
Original languageEnglish
Publication statusPublished - 6 Sep 2018
Event1st International Conference on Structural Integrity of Offshore Energy Industry - Scotland, Aberdeen, United Kingdom
Duration: 6 Sep 20187 Sep 2018
https://asranet.co.uk/

Conference

Conference1st International Conference on Structural Integrity of Offshore Energy Industry
Abbreviated titleSI 1
CountryUnited Kingdom
CityAberdeen
Period6/09/187/09/18
Internet address

Fingerprint

Composite materials
Materials properties
Homogenization method
Composite structures
Uncertainty
Finite element method

Keywords

  • Uncertainty
  • Surrogates
  • Elastic properties
  • Homogenisation
  • Composites

Cite this

Omairey, S. L., Dunning, P. D., & Sriramula, S. (2018). Development of a Multi-scale Surrogate-based Tool for Composite Property Estimation. Paper presented at 1st International Conference on Structural Integrity of Offshore Energy Industry, Aberdeen, United Kingdom.

Development of a Multi-scale Surrogate-based Tool for Composite Property Estimation. / Omairey, Sadik Lafta; Dunning, Peter Donald; Sriramula, Srinivas.

2018. Paper presented at 1st International Conference on Structural Integrity of Offshore Energy Industry, Aberdeen, United Kingdom.

Research output: Contribution to conferencePaper

Omairey, SL, Dunning, PD & Sriramula, S 2018, 'Development of a Multi-scale Surrogate-based Tool for Composite Property Estimation' Paper presented at 1st International Conference on Structural Integrity of Offshore Energy Industry, Aberdeen, United Kingdom, 6/09/18 - 7/09/18, .
Omairey SL, Dunning PD, Sriramula S. Development of a Multi-scale Surrogate-based Tool for Composite Property Estimation. 2018. Paper presented at 1st International Conference on Structural Integrity of Offshore Energy Industry, Aberdeen, United Kingdom.
Omairey, Sadik Lafta ; Dunning, Peter Donald ; Sriramula, Srinivas. / Development of a Multi-scale Surrogate-based Tool for Composite Property Estimation. Paper presented at 1st International Conference on Structural Integrity of Offshore Energy Industry, Aberdeen, United Kingdom.
@conference{deb2e4c198a3429f9437f2a05754551d,
title = "Development of a Multi-scale Surrogate-based Tool for Composite Property Estimation",
abstract = "In this study a numerical-based surrogate model is proposed to estimate the effective elastic properties of unidirectional composite lamina, while accounting for geometric and material property uncertainties at both micro and meso scales. In the multi-scale build-up nature of composites many uncertainties occur, mainly in material properties and geometric characteristics. These uncertainties present a challenge in estimating composite material properties. The currently available property estimation/homogenisation tools are mainly in two categories: analytical equations based on an assumed model configuration and finite element homogenisation methods that are more flexible and accurate, but computationally expensive. Hence, this study develops surrogate models capable of representing various uncertainties based on established numerical homogenisation. This tool significantly decreases analysis duration compared with frequent use of full FEA. Thus, represents many composite uncertainties in an efficient way. This tool is particularly useful for developing reliability-based composite structures design approaches.",
keywords = "Uncertainty, Surrogates, Elastic properties, Homogenisation, Composites",
author = "Omairey, {Sadik Lafta} and Dunning, {Peter Donald} and Srinivas Sriramula",
year = "2018",
month = "9",
day = "6",
language = "English",
note = "1st International Conference on Structural Integrity of Offshore Energy Industry, SI 1 ; Conference date: 06-09-2018 Through 07-09-2018",
url = "https://asranet.co.uk/",

}

TY - CONF

T1 - Development of a Multi-scale Surrogate-based Tool for Composite Property Estimation

AU - Omairey, Sadik Lafta

AU - Dunning, Peter Donald

AU - Sriramula, Srinivas

PY - 2018/9/6

Y1 - 2018/9/6

N2 - In this study a numerical-based surrogate model is proposed to estimate the effective elastic properties of unidirectional composite lamina, while accounting for geometric and material property uncertainties at both micro and meso scales. In the multi-scale build-up nature of composites many uncertainties occur, mainly in material properties and geometric characteristics. These uncertainties present a challenge in estimating composite material properties. The currently available property estimation/homogenisation tools are mainly in two categories: analytical equations based on an assumed model configuration and finite element homogenisation methods that are more flexible and accurate, but computationally expensive. Hence, this study develops surrogate models capable of representing various uncertainties based on established numerical homogenisation. This tool significantly decreases analysis duration compared with frequent use of full FEA. Thus, represents many composite uncertainties in an efficient way. This tool is particularly useful for developing reliability-based composite structures design approaches.

AB - In this study a numerical-based surrogate model is proposed to estimate the effective elastic properties of unidirectional composite lamina, while accounting for geometric and material property uncertainties at both micro and meso scales. In the multi-scale build-up nature of composites many uncertainties occur, mainly in material properties and geometric characteristics. These uncertainties present a challenge in estimating composite material properties. The currently available property estimation/homogenisation tools are mainly in two categories: analytical equations based on an assumed model configuration and finite element homogenisation methods that are more flexible and accurate, but computationally expensive. Hence, this study develops surrogate models capable of representing various uncertainties based on established numerical homogenisation. This tool significantly decreases analysis duration compared with frequent use of full FEA. Thus, represents many composite uncertainties in an efficient way. This tool is particularly useful for developing reliability-based composite structures design approaches.

KW - Uncertainty

KW - Surrogates

KW - Elastic properties

KW - Homogenisation

KW - Composites

M3 - Paper

ER -