التفاصيل البيبلوغرافية
| العنوان: |
A robust FRF damage indicator combined with optimization techniques for damage assessment in complex truss structures |
| المؤلفون: |
Samir Khatir, Samir Tiachacht, Cuong-Le Thanh, Hoa Tran-Ngoc, Seyedali Mirjalili, Magd Abdel Wahab |
| المصدر: |
Case Studies in Construction Materials, Vol 17, Iss , Pp e01197- (2022) |
| بيانات النشر: |
Elsevier, 2022. |
| سنة النشر: |
2022 |
| المجموعة: |
LCC:Materials of engineering and construction. Mechanics of materials |
| مصطلحات موضوعية: |
Damage detection, Frequency response function, GBO, DOA, Inverse problem, 2D and 3D complex truss structures, Materials of engineering and construction. Mechanics of materials, TA401-492 |
| الوصف: |
Vibration-based damage detection tools are frequently employed because of their advantages over other non-destructive techniques. This paper presents an improved Frequency Response Function (FRF) indicator for damage identification in complex structures. To verify the effectiveness of the improved damage indicator, different structures are used, namely a 20-Bar Planar Truss (2D), a 28-Bar Space Truss (3D), a 72-Bar Space Truss, and a 600-bar Space Truss. The numerical models of all these structures are built in MATLAB using Finite Element Method (FEM). The improved indicator detects and localises single and multiple damages in the first stage. Next, after eliminating the healthy elements, it is used in a new objective function to solve the damage quantification problem using recent optimization techniques, including Artificial Gorilla Troops Optimizer (GTO), Dingo Optimization Algorithm (DOA), African Vulture Optimization algorithm (AVOA), and Gradient-Based Optimizer (GBO). The results demonstrate that all optimization techniques can accurately predict the exact level of damage. However, GTO is the most efficient in terms of convergence. To study the effectiveness of this indicator in case of noisy data, different levels of noise are considered in the damage assessment exercises. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2214-5095 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S2214509522003291; https://doaj.org/toc/2214-5095 |
| DOI: |
10.1016/j.cscm.2022.e01197 |
| URL الوصول: |
https://doaj.org/article/43710d55039b44be94200758aa887e46 |
| رقم الانضمام: |
edsdoj.43710d55039b44be94200758aa887e46 |
| قاعدة البيانات: |
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