| Issue |
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
|
|
|---|---|---|
| Article Number | 01165 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/e3sconf/202339101165 | |
| Published online | 05 June 2023 | |
Damage detection in structural elements: using adaptive Mamdani model
KIIT University, Bhubaneswar, 751024, India
* Corresponding Author: kosanamashwini94@gmail.com
In real life all the structural and machine elements work under dynamic or variable loading. Application of dynamic loading leads to fluctuating stress. Due to fluctuating stress fatigue cracks initiates. These fatigue cracks are the main reason of failures. So, it is very important to detect the crack and predict the crack life. There are different types of damages but crack is one of the most encountered damage. There are different conventional methods to detect the damage but these methods are time taking and requires removal from the machines. Therefore, researchers are giving more importance to the unconventional methods to find the damage. In the present work a method has been introduced to find the damage site using Fuzzy Logic System and Regression Analysis. In particular, this paper focuses on applying statistical process control methods. A data pool has been created from the dynamic analysis of the cracked cantilever beam and then the data pool is trained in the proposed methodology to find the crack location. It has been noticed that the proposed methodology gives result within the tolerable range.
Key words: Crack / Mamdani fuzzy logic / Regression analysis
© The Authors, published by EDP Sciences, 2023
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