Shape Sensing of Beam-Like Structures Using the Robust iFEM-iQS4 Inverse Shell Element
Yazarlar (4)
Mohammadamın Abdollahzadeh Sabancı Üniversitesi, Türkiye
Muhammed Yavuz Belur Sabancı Üniversitesi, Türkiye
Dr. Öğr. Üyesi Muhammed Fatih BAŞOĞLU Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Adnan Kefal Sabancı Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | IEEE Transactions on Instrumentation and Measurement (Q1) | ||
| Dergi ISSN | 0018-9456 Dergi Bilgileri (2023) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 01-2023 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-01-2023 |
| Cilt / Sayı / Sayfa | 72 / 1 / 1–9 | DOI | 10.1109/TIM.2023.3309367 |
| Makale Linki | http://dx.doi.org/10.1109/tim.2023.3309367 | ||
| UAK Araştırma Alanları |
Katı Cisimler Mekaniği
Sayısal Modelleme
|
||
| Özet |
| The reconstruction of 2-D/3-D deformation and stress fields using a limited number of strain sensors is called “shape sensing” and it plays an important role in structural health monitoring (SHM) methods. The inverse finite element method (iFEM) is one of the best shape sensing algorithms developed based on strain data from a set of on-board/embedded sensors. The iFEM accomplishes this task by minimizing the errors between these collected (experimental/simulated) strains and the calculated (analytical) strains using a weighted least squares function. In the present study, we attempt to verify the applicability of a quadrilateral iFEM plate/shell element, iFEM-iQS4, for shape sensing of 2-D beam-like structures by comparing it with a recently developed inverse beam element iFEM-iBeam3. We also demonstrate the high efficiency and accuracy of iFEM-iQS4 analysis for 3-D shape sensing of beam-like structures … |
| Anahtar Kelimeler |
| Beam-like structures | inverse finite element method (iFEM) | shape sensing | structural health monitoring (SHM) |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Yöksis | 10 |
| Web of Science | 13 |
| Scopus | 14 |
| Google Scholar | 19 |