نتایج جستجو برای: multiple natural frequency constraints

تعداد نتایج: 1791418  

Journal: :iranian journal of science and technology transactions of civil engineering 2015
a. kaveh m. ilchi ghazaan

natural frequency is one of the parameters that represent useful information about the dynamic behavior of structures. controlling this parameter can decrease the probability of damage under dynamic loading. weight optimization on layout and sizing with frequency constraints is a well known problem because of its highly non-linear behavior. improved ray optimization (iro) algorithm is utilized ...

Journal: :international journal of civil engineering 0
a. kaveh iust r. ghaffarian iust

the main aim of this paper is to find the optimum shape of arch dams subjected to multiple natural frequency constraints by using an efficient methodology. the optimization is carried out by charged system search algorithm and its enhanced version. computing the natural frequencies by finite element analysis (fea) during the optimization process is time consuming. in order to reduce the computa...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه بیرجند 1390

abstract this study attempted to investigate the strategies used to translate clichés of emotions in dubbed movies in iranian dubbing context for home video companies. the corpus of the current study was parallel and comparable in nature, consisting of five original american movies and their dubbed versions in persian, and five original persian movies which served as a touchstone for judging n...

Journal: :Expert Syst. Appl. 2012
Letícia Fleck Fadel Miguel Leandro Fleck Fadel Miguel

Mass optimization on shape and sizing with multiple natural frequency constraints are highly nonlinear dynamic optimization problems. Multiple natural frequency constraints normally cause difficult dynamic sensitivity analysis and, in addition, two different types of design variables, nodal coordinates and crosssectional areas, often lead to divergence. Thus, the choice of the appropriated meth...

2007
E. Salajegheh S. Gholizadeh P. Torkzadeh

A combination of improved genetic algorithm and neural networks is proposed to find the optimal weight of structures subject to multiple natural frequency constraints. The structural optimization is carried out by an evolutionary algorithm employing the discrete design variables. To reduce the computational time of the optimization process, the natural frequencies of structures are evaluated by...

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