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Stochastic natural frequency analysis of damaged thin-walled laminated composite beams with uncertainty in micromechanical properties

S. Naskar, T. Mukhopadhyay, S. Sriramula, S. Adhikari, Sondipon Adhikari

Composite Structures, Volume: 160, Pages: 312 - 334

Swansea University Author: Sondipon Adhikari

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DOI (Published version): 10.1016/j.compstruct.2016.10.035

Abstract

This paper presents a stochastic approach to study the natural frequencies of thin-walled laminated composite beams with spatially varying matrix cracking damage in a multi-scale framework. A novel concept of stochastic representative volume element (SRVE) is introduced for this purpose. An efficien...

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Published in: Composite Structures
ISSN: 0263-8223
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa30718
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spelling 2016-11-11T15:14:47.2331220 v2 30718 2016-10-19 Stochastic natural frequency analysis of damaged thin-walled laminated composite beams with uncertainty in micromechanical properties 4ea84d67c4e414f5ccbd7593a40f04d3 Sondipon Adhikari Sondipon Adhikari true false 2016-10-19 FGSEN This paper presents a stochastic approach to study the natural frequencies of thin-walled laminated composite beams with spatially varying matrix cracking damage in a multi-scale framework. A novel concept of stochastic representative volume element (SRVE) is introduced for this purpose. An efficient radial basis function (RBF) based uncertainty quantification algorithm is developed to quantify the probabilistic variability in free vibration responses of the structure due to spatially random stochasticity in the micro-mechanical and geometric properties. The convergence of the proposed algorithm for stochastic natural frequency analysis of damaged thin-walled composite beam is verified and validated with original finite element method (FEM) along with traditional Monte Carlo simulation (MCS). Sensitivity analysis is carried out to ascertain the relative influence of different stochastic input parameters on the natural frequencies. Subsequently the influence of noise is investigated on radial basis function based uncertainty quantification algorithm to account for the inevitable variability for practical field applications. The study reveals that stochasticity/ system irregularity in structural and material attributes affects the system performance significantly. To ensure robustness, safety and sustainability of the structure, it is very crucial to consider such forms of uncertainties during the analysis. Journal Article Composite Structures 160 312 334 0263-8223 15 1 2017 2017-01-15 10.1016/j.compstruct.2016.10.035 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2016-11-11T15:14:47.2331220 2016-10-19T14:11:52.5309380 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised S. Naskar 1 T. Mukhopadhyay 2 S. Sriramula 3 S. Adhikari 4 Sondipon Adhikari 5 0030718-19102016141306.pdf naskar2016.pdf 2016-10-19T14:13:06.1630000 Output 2705761 application/pdf Accepted Manuscript true 2017-10-18T00:00:00.0000000 false
title Stochastic natural frequency analysis of damaged thin-walled laminated composite beams with uncertainty in micromechanical properties
spellingShingle Stochastic natural frequency analysis of damaged thin-walled laminated composite beams with uncertainty in micromechanical properties
Sondipon Adhikari
title_short Stochastic natural frequency analysis of damaged thin-walled laminated composite beams with uncertainty in micromechanical properties
title_full Stochastic natural frequency analysis of damaged thin-walled laminated composite beams with uncertainty in micromechanical properties
title_fullStr Stochastic natural frequency analysis of damaged thin-walled laminated composite beams with uncertainty in micromechanical properties
title_full_unstemmed Stochastic natural frequency analysis of damaged thin-walled laminated composite beams with uncertainty in micromechanical properties
title_sort Stochastic natural frequency analysis of damaged thin-walled laminated composite beams with uncertainty in micromechanical properties
author_id_str_mv 4ea84d67c4e414f5ccbd7593a40f04d3
author_id_fullname_str_mv 4ea84d67c4e414f5ccbd7593a40f04d3_***_Sondipon Adhikari
author Sondipon Adhikari
author2 S. Naskar
T. Mukhopadhyay
S. Sriramula
S. Adhikari
Sondipon Adhikari
format Journal article
container_title Composite Structures
container_volume 160
container_start_page 312
publishDate 2017
institution Swansea University
issn 0263-8223
doi_str_mv 10.1016/j.compstruct.2016.10.035
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 1
active_str 0
description This paper presents a stochastic approach to study the natural frequencies of thin-walled laminated composite beams with spatially varying matrix cracking damage in a multi-scale framework. A novel concept of stochastic representative volume element (SRVE) is introduced for this purpose. An efficient radial basis function (RBF) based uncertainty quantification algorithm is developed to quantify the probabilistic variability in free vibration responses of the structure due to spatially random stochasticity in the micro-mechanical and geometric properties. The convergence of the proposed algorithm for stochastic natural frequency analysis of damaged thin-walled composite beam is verified and validated with original finite element method (FEM) along with traditional Monte Carlo simulation (MCS). Sensitivity analysis is carried out to ascertain the relative influence of different stochastic input parameters on the natural frequencies. Subsequently the influence of noise is investigated on radial basis function based uncertainty quantification algorithm to account for the inevitable variability for practical field applications. The study reveals that stochasticity/ system irregularity in structural and material attributes affects the system performance significantly. To ensure robustness, safety and sustainability of the structure, it is very crucial to consider such forms of uncertainties during the analysis.
published_date 2017-01-15T03:37:24Z
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score 11.012678

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