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Multi-scale model updating of a timber footbridge using experimental vibration data

Rafael Castro-Triguero, Enrique Garcia-Macias, Erick Saavedra Flores, M.I. Friswell, Rafael Gallego, Michael Friswell

Engineering Computations, Volume: 34, Issue: 3, Pages: 754 - 780

Swansea University Author: Michael Friswell

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DOI (Published version): 10.1108/EC-09-2015-0284

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PurposeThe purpose of this paper is to capture the actual structural behavior of the longest timber footbridge in Spain by means of a multi-scale model updating approach in conjunction with ambient vibration tests.Design/methodology/approachIn a first stage, a numerical pre-test analysis of the full...

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Published in: Engineering Computations
ISSN: 0264-4401
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa34547
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This approach offers a first structural model in which optimal sensor placement (OSP) methodologies are applied to improve the system identification process. In particular, the effective independence (EFI) method is used to determine the optimal locations of a set of sensors. Ambient vibration tests are conducted to determine experimentally the modal characteristics of the structure. The identified modal parameters are compared with those values obtained from this preliminary model. To improve the accuracy of the numerical predictions, the material response is modeled by means of a homogenization-based multi-scale computational approach. In a second stage, the structure is modeled by means of three-dimensional solid elements with the above material definition, capturing realistically the full orthotropic mechanical properties of wood. A genetic algorithm (GA) technique is adopted to calibrate the micromechanical parameters which are either not well-known or susceptible to considerable variations when measured experimentally.FindingsAn overall good agreement is found between the results of the updated numerical simulations and the corresponding experimental measurements. The longitudinal and transverse Young's moduli, sliding and rolling shear moduli, density and natural frequencies are computed by the present approach. The obtained results reveal the potential predictive capabilities of the present GA/multi-scale/experimental approach to capture accurately the actual behavior of complex materials and structures.Originality/valueThe uniqueness and importance of this structure leads to an intensive study of its structural behavior. Ambient vibration tests are carried out under environmental excitation. Extraction of modal parameters is obtained from output-only experimental data. The EFI methodology is applied for the OSP on a large-scale structure. Information coming from several length scales, from sub-micrometer dimensions to macroscopic scales, is included in the material definition. The strong differences found between the stiffness along the longitudinal and transverse directions of wood lumbers are incorporated in the structural model. 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spelling 2017-09-05T15:30:06.9285628 v2 34547 2017-07-04 Multi-scale model updating of a timber footbridge using experimental vibration data 5894777b8f9c6e64bde3568d68078d40 Michael Friswell Michael Friswell true false 2017-07-04 FGSEN PurposeThe purpose of this paper is to capture the actual structural behavior of the longest timber footbridge in Spain by means of a multi-scale model updating approach in conjunction with ambient vibration tests.Design/methodology/approachIn a first stage, a numerical pre-test analysis of the full bridge is performed, using standard beam-type finite elements with isotropic material properties. This approach offers a first structural model in which optimal sensor placement (OSP) methodologies are applied to improve the system identification process. In particular, the effective independence (EFI) method is used to determine the optimal locations of a set of sensors. Ambient vibration tests are conducted to determine experimentally the modal characteristics of the structure. The identified modal parameters are compared with those values obtained from this preliminary model. To improve the accuracy of the numerical predictions, the material response is modeled by means of a homogenization-based multi-scale computational approach. In a second stage, the structure is modeled by means of three-dimensional solid elements with the above material definition, capturing realistically the full orthotropic mechanical properties of wood. A genetic algorithm (GA) technique is adopted to calibrate the micromechanical parameters which are either not well-known or susceptible to considerable variations when measured experimentally.FindingsAn overall good agreement is found between the results of the updated numerical simulations and the corresponding experimental measurements. The longitudinal and transverse Young's moduli, sliding and rolling shear moduli, density and natural frequencies are computed by the present approach. The obtained results reveal the potential predictive capabilities of the present GA/multi-scale/experimental approach to capture accurately the actual behavior of complex materials and structures.Originality/valueThe uniqueness and importance of this structure leads to an intensive study of its structural behavior. Ambient vibration tests are carried out under environmental excitation. Extraction of modal parameters is obtained from output-only experimental data. The EFI methodology is applied for the OSP on a large-scale structure. Information coming from several length scales, from sub-micrometer dimensions to macroscopic scales, is included in the material definition. The strong differences found between the stiffness along the longitudinal and transverse directions of wood lumbers are incorporated in the structural model. A multi-scale model updating approach is carried out by means of a GA technique to calibrate the micromechanical parameters which are either not well-known or susceptible to considerable variations when measured experimentally. Journal Article Engineering Computations 34 3 754 780 0264-4401 Model updating, Ambient vibration, Multi-scale finite element model, Optimal sensor placement, Timber footbridge 31 12 2017 2017-12-31 10.1108/EC-09-2015-0284 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2017-09-05T15:30:06.9285628 2017-07-04T09:39:53.5167202 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Rafael Castro-Triguero 1 Enrique Garcia-Macias 2 Erick Saavedra Flores 3 M.I. Friswell 4 Rafael Gallego 5 Michael Friswell 6 0034547-06072017093131.pdf castro-triguero2017.pdf 2017-07-06T09:31:31.8900000 Output 3674524 application/pdf Accepted Manuscript true 2018-02-05T00:00:00.0000000 true eng
title Multi-scale model updating of a timber footbridge using experimental vibration data
spellingShingle Multi-scale model updating of a timber footbridge using experimental vibration data
Michael Friswell
title_short Multi-scale model updating of a timber footbridge using experimental vibration data
title_full Multi-scale model updating of a timber footbridge using experimental vibration data
title_fullStr Multi-scale model updating of a timber footbridge using experimental vibration data
title_full_unstemmed Multi-scale model updating of a timber footbridge using experimental vibration data
title_sort Multi-scale model updating of a timber footbridge using experimental vibration data
author_id_str_mv 5894777b8f9c6e64bde3568d68078d40
author_id_fullname_str_mv 5894777b8f9c6e64bde3568d68078d40_***_Michael Friswell
author Michael Friswell
author2 Rafael Castro-Triguero
Enrique Garcia-Macias
Erick Saavedra Flores
M.I. Friswell
Rafael Gallego
Michael Friswell
format Journal article
container_title Engineering Computations
container_volume 34
container_issue 3
container_start_page 754
publishDate 2017
institution Swansea University
issn 0264-4401
doi_str_mv 10.1108/EC-09-2015-0284
college_str Faculty of Science and Engineering
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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
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description PurposeThe purpose of this paper is to capture the actual structural behavior of the longest timber footbridge in Spain by means of a multi-scale model updating approach in conjunction with ambient vibration tests.Design/methodology/approachIn a first stage, a numerical pre-test analysis of the full bridge is performed, using standard beam-type finite elements with isotropic material properties. This approach offers a first structural model in which optimal sensor placement (OSP) methodologies are applied to improve the system identification process. In particular, the effective independence (EFI) method is used to determine the optimal locations of a set of sensors. Ambient vibration tests are conducted to determine experimentally the modal characteristics of the structure. The identified modal parameters are compared with those values obtained from this preliminary model. To improve the accuracy of the numerical predictions, the material response is modeled by means of a homogenization-based multi-scale computational approach. In a second stage, the structure is modeled by means of three-dimensional solid elements with the above material definition, capturing realistically the full orthotropic mechanical properties of wood. A genetic algorithm (GA) technique is adopted to calibrate the micromechanical parameters which are either not well-known or susceptible to considerable variations when measured experimentally.FindingsAn overall good agreement is found between the results of the updated numerical simulations and the corresponding experimental measurements. The longitudinal and transverse Young's moduli, sliding and rolling shear moduli, density and natural frequencies are computed by the present approach. The obtained results reveal the potential predictive capabilities of the present GA/multi-scale/experimental approach to capture accurately the actual behavior of complex materials and structures.Originality/valueThe uniqueness and importance of this structure leads to an intensive study of its structural behavior. Ambient vibration tests are carried out under environmental excitation. Extraction of modal parameters is obtained from output-only experimental data. The EFI methodology is applied for the OSP on a large-scale structure. Information coming from several length scales, from sub-micrometer dimensions to macroscopic scales, is included in the material definition. The strong differences found between the stiffness along the longitudinal and transverse directions of wood lumbers are incorporated in the structural model. A multi-scale model updating approach is carried out by means of a GA technique to calibrate the micromechanical parameters which are either not well-known or susceptible to considerable variations when measured experimentally.
published_date 2017-12-31T03:42:52Z
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score 10.970983

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