Buy article PDF
The purchased file will be sent to you
via email after the payment is completed.
US$ 35
|
Smart Structures and Systems Volume 18, Number 5, November 2016 , pages 983-1004 DOI: https://doi.org/10.12989/sss.2016.18.5.983 |
|
|
|
Detection of damage in truss structures using Simplified Dolphin Echolocation algorithm based on modal data |
||
Ali Kaveh, Seyed Rohollah Hoseini Vaez, Pedram Hosseini and Narges Fallah
|
||
| Abstract | ||
| Nowadays, there are two classes of methods for damage detection in structures consisting of static and dynamic. The dynamic methods are based on studying the changes in structure\'s dynamic characteristics. The theoretical basis of this method is that damage causes changes in dynamic characteristics of structures. The dynamic methods are divided into two categories: signal based and modal based. The modal based methods utilize the modal properties consisting of natural frequencies, modal damping and mode shapes. As the modal properties are sensitive to changes in the structure, these can be used for detecting the damages. In this study, using dynamic method and modal based approach (natural frequencies and mode shapes), the objective function is formulated. Then, detection of damages of truss structures is addressed by using Simplified Dolphin Echolocation algorithm and solving inverse optimization problem. Many scenarios are used to simulate the damages. To demonstrate the ability of the algorithm, different truss structures with several multiple elements scenarios are tested using a few runs. The influence of the two different levels of noise in the modal data for these scenarios is also considered. The last example of this article is investigated using a different mutation. This mutation obtains the exact answer with fewer loops and population by limited computational effort. | ||
| Key Words | ||
| damage detection; SDE algorithm; truss structures; frequencies; mode shapes; inverse problem | ||
| Address | ||
| Ali Kaveh: Centre of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science and Technology, Tehran-16, Iran Seyed Rohollah Hoseini Vaez, Pedram Hosseini and Narges Fallah: Department of Civil Engineering, Faculty of Engineering, University of Qom, Iran | ||