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Detection of damage in truss structures using Simplified Dolphin Echolocation algorithm based on modal data

  • Kaveh, Ali (Centre of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science and Technology) ;
  • Vaez, Seyed Rohollah Hoseini (Department of Civil Engineering, Faculty of Engineering, University of Qom) ;
  • Hosseini, Pedram (Department of Civil Engineering, Faculty of Engineering, University of Qom) ;
  • Fallah, Narges (Department of Civil Engineering, Faculty of Engineering, University of Qom)
  • Received : 2016.01.17
  • Accepted : 2016.06.10
  • Published : 2016.11.25
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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.

Keywords

Acknowledgement

Supported by : Iran National Science Foundation

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