Damage Detection of Truss Structures using an Improved Charged System Search Algorithm

2012 ◽  
Author(s):  
A. Kaveh ◽  
A. Zolghadr
Keyword(s):  
Damage Detection ◽  
Search Algorithm ◽  
Truss Structures ◽  
Charged System Search ◽  
Charged System

scholarly journals Charged System Search Algorithm Utilized for Structural Damage Detection

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Zahra Tabrizian ◽  
Gholamreza Ghodrati Amiri ◽  
Morteza Hossein Ali Beigy
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Damage Mechanics ◽  
Search Algorithm ◽  
Element Model ◽  
Reduction Factor ◽  
Computational Time ◽  
Damage Scenarios ◽  
Charged System Search ◽  
Charged System

This paper presents damage detection and assessment methodology based on the changes in dynamic parameters of a structural system. The method is applied at an element level using a finite element model. According to continuum damage mechanics, damage is represented by a reduction factor of the element stiffness. A recently developed metaheuristic optimization algorithm known as the charged system search (CSS) is utilized for locating and quantifying the damaged areas of the structure. In order to demonstrate the abilities of this method, three examples are included comprising of a 10-elements cantilever beam, a Bowstring plane truss, and a 39-element three-story three-bay plane frame. The possible damage types in structures by considering several damage scenarios and using incomplete modal data are modeled. Finally, results are obtained from the CSS algorithm by detecting damage in these structures and compared to the results of the PSOPC algorithm. In addition, the effect of noise is shown in the results of the CSS algorithm by suitable diagrams. As is illustrated, this method has acceptable results in the structural detection damage with low computational time.

Novel Adaptive Charged System Search algorithm for optimal tuning of fuzzy controllers

2014 ◽  
Vol 41 (4) ◽  
pp. 1168-1175 ◽  
Author(s):  
Radu-Emil Precup ◽  
Radu-Codruţ David ◽  
Emil M. Petriu ◽  
Stefan Preitl ◽  
Mircea-Bogdan Rădac
Keyword(s):  
Search Algorithm ◽  
Fuzzy Controllers ◽  
Optimal Tuning ◽  
Charged System Search ◽  
Charged System

scholarly journals REDUCTION OF ACTIVE POWER LOSS BY ADAPTIVE CHARGED SYSTEM SEARCH ALGORITHM

2017 ◽  
Vol 5 (10) ◽  
pp. 34-45
Author(s):  
K. Lenin
Keyword(s):  
Power Loss ◽  
Search Algorithm ◽  
Active Power ◽  
Newtonian Mechanics ◽  
Charged System Search ◽  
Optimal Power ◽  
Multi Agent ◽  
Charged System ◽  
Power Problem

This paper presents a new optimization algorithm called Adaptive Charged System Search Algorithm (ACA) for solving optimal power problem. Coulomb law from electrostatics and the Newtonian laws of mechanics are forming the basics of the proposed algorithm. Adaptive Charged System Search Algorithm (ACA) is a multi-agent approach in which each agent is a Charged Particle (CP) & they affect each other based on their fitness values, separation of distances. The quantity of the resultant force is determined by using the electrostatics laws and the quality of the movement is determined using Newtonian mechanics laws. Proposed Adaptive Charged System Search Algorithm (ACA) has been tested in Standard IEEE 57,118 bus systems & real power loss has been comparatively reduced with voltage profiles are within the limits.

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