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    Damage Detection on Steel Plane Trusses via Harmony Search Algorithm
    (İstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Press, 2018-03-01) Artar, Musa; Çatar, Recep; Daloğlu, Ayse
    A damage detection study is presented on steel plane truss structures via harmony search algorithm which is one of the basic metaheuristic methods. This algorithm method mimics better musical harmony procedures. Optimum solutions are carried out by a harmony memory matrix consisting of a predetermined number of solution vectors. Scenario damages are considered on truss models. The locations of the damages are tried to determine by using the dynamic parameters. To obtain damage locations, a program based on the finite element method is coded in MATLAB programming. The dynamic parameters of damaged models are obtained by SAP2000 software. By using MATLAB programming, the scenario damage locations considered in SAP2000 programs are tried to determine by approaching the dynamic values of the damaged model as a result of a series of iterations. The results are presented by tables and figures. The results show that scenario damages on truss models are successfully detected by using dynamic parameters in MATLAB programming.
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    Optimum Design of Braced Steel Space Frames Using Teaching Learning Based Optimization
    (İstanbul Gelişim Üniversitesi Yayınları / Istanbul Gelisim University Press, 2018-03-01) Daloğlu, Ayşe; Artar, Musa; Özgan, Korhan; Karakaş, Ali İ.
    In this study, optimum design of braced steel space frames is obtained via a novel metaheuristic method, teaching learning based optimization. This algorithm method consists of the two basic phases. The first phase is called as teaching; In this phase, the knowledge interaction occurs between students and teacher. In the second phase, learning phase, the knowledge interaction occurs among students in the class. Optimum profiles are selected among 128 W taken from American Institute of Steel Construction (AISC). The constraints imposed on the frame example are stress constraints as stated in AISC-ASD specifications, geometric constraints and displacement constraints. To obtain optimum solutions, a program is coded in MATLAB programming to incorporate with SAP2000 - Open Application Programming Interface (OAPI). The results are compared through tables and figures. The results indicate that teaching learning based optimization method and MATLAB SAP2000 OAPI technique are applicable even for complex problems and present practical solutions.