Automated damage assessment in truss structures via FE model updating and teaching-learning-based optimization

While numerous methodologies for identifying structural damages through finite element (FE) model updating and optimization algorithms have been developed and validated for accuracy, certain unresolved issues necessitate further investigation.The establishment of a numerical model is imperative for damage assessment through model updating, particularly for complex engineering structures with numerous elements, such as trusses, which demand substantial effort.Utilizing commercial software can offer significant convenience in this context.To cope with this challenge, we propose a FE model update strategy employing the SAP2000 Open Application Programming Interface (OAPI) and Teaching-Learning-Based Optimization (TLBO) for evaluating damages in complex truss structures.The FE model of the monitored structure is, first, constituted via SAP2000 software.Subsequently, the damage assessment of the structure is formulated as an unconstrained optimization problem.An objective function is defined as a weighted linear combination of three modal parameters: frequency, Coordinate Modal Assurance Criterion (COMAC), and flexibility.For the identification and quantification of stiffness degradation induced by damage, the optimization problem is addressed through TLBO.The iterative optimization process is automated by establishing a linkage between MATLAB and SAP2000 through the OAPI feature of SAP2000.The efficacy of the proposed approach is demonstrated through two numerical test examples, accounting for measurement noise and sparse measured data.

Authors

Publication Details

Journal
Journal of Structural Engineering & Applied Mechanics
Published
2024-12-31
DOI
https://doi.org/10.31462/jseam.2024.04219237
Citations
1
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.26
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automated damage assessment in truss structures via FE model updating and teaching-learning-based optimization

Volkan Kahya, Sebahat Şimşek, Korhan Özgan
1 citations
Journal of Structural Engineering & Applied Mechanics
Structural Health Monitoring Techniques
0.26
article

Automated damage assessment in truss structures via FE model updating and teaching-learning-based optimization

Volkan Kahya, Sebahat Şimşek, Korhan Özgan
article en
1 citations

Abstract

While numerous methodologies for identifying structural damages through finite element (FE) model updating and optimization algorithms have been developed and validated for accuracy, certain unresolved issues necessitate further investigation.The establishment of a numerical model is imperative for damage assessment through model updating, particularly for complex engineering structures with numerous elements, such as trusses, which demand substantial effort.Utilizing commercial software can offer significant convenience in this context.To cope with this challenge, we propose a FE model update strategy employing the SAP2000 Open Application Programming Interface (OAPI) and Teaching-Learning-Based Optimization (TLBO) for evaluating damages in complex truss structures.The FE model of the monitored structure is, first, constituted via SAP2000 software.Subsequently, the damage assessment of the structure is formulated as an unconstrained optimization problem.An objective function is defined as a weighted linear combination of three modal parameters: frequency, Coordinate Modal Assurance Criterion (COMAC), and flexibility.For the identification and quantification of stiffness degradation induced by damage, the optimization problem is addressed through TLBO.The iterative optimization process is automated by establishing a linkage between MATLAB and SAP2000 through the OAPI feature of SAP2000.The efficacy of the proposed approach is demonstrated through two numerical test examples, accounting for measurement noise and sparse measured data.

Journal of Structural Engineering & Applied MechanicsVol. 7(4)
Openalex Percentile: Top 41%
Structural Health Monitoring Techniques
0.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Automated damage assessment in truss structures via FE model updating and teaching-learning-based optimization — Volkan Kahya, Sebahat Şimşek, et al. · Journal of Structural Engineering & Applied Mechanics (2024) | TGRS Research Map | TGRS