Inverse parameter identification and model updating for Cross-laminated Timber substructures
(2024) In Journal of Building Engineering 95.- Abstract
- Finite Element (FE) model updating is crucial for identifying key parameters in structural design and improving predictive accuracy. Despite extensive research on advanced FE procedures approved for user applications, persistent disparities remain in real-world scenarios, especially for complex materials like wood. Capturing accurate mechanical characteristics with traditional models poses challenges in sustainability projects. This study introduces a derivative-free model updating procedure using a Single-Objective Optimisation (SOO) incorporating observed and predicted natural frequencies and vibration modes. The objective function optimises tuning parameters to minimise discrepancies between predicted and observed outcomes. The focus is... (More)
- Finite Element (FE) model updating is crucial for identifying key parameters in structural design and improving predictive accuracy. Despite extensive research on advanced FE procedures approved for user applications, persistent disparities remain in real-world scenarios, especially for complex materials like wood. Capturing accurate mechanical characteristics with traditional models poses challenges in sustainability projects. This study introduces a derivative-free model updating procedure using a Single-Objective Optimisation (SOO) incorporating observed and predicted natural frequencies and vibration modes. The objective function optimises tuning parameters to minimise discrepancies between predicted and observed outcomes. The focus is on Cross-laminated Timber (CLT), a composite wooden structure gaining traction as a sustainable alternative to materials like reinforced concrete and steel. However, the mechanical properties of CLT can vary due to inherent variability in wood’s mechanical characteristics. This research identifies sensitive mechanical properties — longitudinal Young’s modulus, internal shear moduli, and rolling shear modulus of CLT — using a model updating procedure based on a comprehensive set of data from Experimental Modal Analysis (EMA). The study provides mathematical algebraic derivations of the updating procedure and a step-by-step implementation algorithm to facilitate practical application in structural engineering. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/af1c8d10-625a-403c-9be4-1515ca4cb706
- author
- Bondsman, Benjamin LU and Peplow, Andrew
- organization
- publishing date
- 2024-06-15
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Model updating, Single-Objective Optimisation, Experimental Modal Analysis, Cross-laminated timber (CLT), Mechanical properties
- in
- Journal of Building Engineering
- volume
- 95
- article number
- 110209
- pages
- 17 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:85199180746
- ISSN
- 2352-7102
- DOI
- 10.1016/j.jobe.2024.110209
- language
- English
- LU publication?
- yes
- id
- af1c8d10-625a-403c-9be4-1515ca4cb706
- date added to LUP
- 2024-07-22 10:05:54
- date last changed
- 2024-09-02 14:55:31
@article{af1c8d10-625a-403c-9be4-1515ca4cb706,
abstract = {{Finite Element (FE) model updating is crucial for identifying key parameters in structural design and improving predictive accuracy. Despite extensive research on advanced FE procedures approved for user applications, persistent disparities remain in real-world scenarios, especially for complex materials like wood. Capturing accurate mechanical characteristics with traditional models poses challenges in sustainability projects. This study introduces a derivative-free model updating procedure using a Single-Objective Optimisation (SOO) incorporating observed and predicted natural frequencies and vibration modes. The objective function optimises tuning parameters to minimise discrepancies between predicted and observed outcomes. The focus is on Cross-laminated Timber (CLT), a composite wooden structure gaining traction as a sustainable alternative to materials like reinforced concrete and steel. However, the mechanical properties of CLT can vary due to inherent variability in wood’s mechanical characteristics. This research identifies sensitive mechanical properties — longitudinal Young’s modulus, internal shear moduli, and rolling shear modulus of CLT — using a model updating procedure based on a comprehensive set of data from Experimental Modal Analysis (EMA). The study provides mathematical algebraic derivations of the updating procedure and a step-by-step implementation algorithm to facilitate practical application in structural engineering.}},
author = {{Bondsman, Benjamin and Peplow, Andrew}},
issn = {{2352-7102}},
keywords = {{Model updating; Single-Objective Optimisation; Experimental Modal Analysis; Cross-laminated timber (CLT); Mechanical properties}},
language = {{eng}},
month = {{06}},
publisher = {{Elsevier}},
series = {{Journal of Building Engineering}},
title = {{Inverse parameter identification and model updating for Cross-laminated Timber substructures}},
url = {{http://dx.doi.org/10.1016/j.jobe.2024.110209}},
doi = {{10.1016/j.jobe.2024.110209}},
volume = {{95}},
year = {{2024}},
}