Among the countless methods that have been proposed in the field of structural damage detection, the finite element model updating method has been very popular. However, the accuracy and efficiency of this method decrease drastically when the number of variables in the More
Among the countless methods that have been proposed in the field of structural damage detection, the finite element model updating method has been very popular. However, the accuracy and efficiency of this method decrease drastically when the number of variables in the problem increases, and this is a problem when dealing with large structures with a large number of elements. In this research, a two-step method is proposed, which is capable of reducing the size of the damage detection problem introduced to the updated model by identifying damaged structural members through a damage index based on static strain energy in the first step. Therefore, only a few variables are introduced to the second step, which include a process of updating the finite element model. This second step actually consists of an iterative process of updating the model, which uses a new and damage-sensitive objective function to detect the severity of damage in the elements identified in the previous step. Also, a meta-exploratory optimizer named equilibrium optimizer is utilized to determine the value of the unknown variables of the problem, which are the damage values of the elements introduced by the first step. The proposed method has also been tested on a number of numerical samples to check the effectiveness of the method in the presence of external disturbing factors such as measurement noise. A comparative study has been done to compare the results. According to the results, the proposed method is able to detect the location and severity of damage in different structures, and measurement noises and modal information only from the first few vibration modes do not have much impact on the accuracy of the results. A laboratory study has also been conducted to find out the efficiency and accuracy of the proposed method in real structures, and according to the results, the proposed method is well able to detect damage.
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Among the countless methods that have been proposed in the field of structural damage detection, the finite element model updating method has been very popular. However, the accuracy and efficiency of this method decrease drastically when the number of variables in the More
Among the countless methods that have been proposed in the field of structural damage detection, the finite element model updating method has been very popular. However, the accuracy and efficiency of this method decrease drastically when the number of variables in the problem increases, and this is a problem when dealing with large structures with a large number of elements. In this research, a two-step method is proposed, which is capable of reducing the size of the damage detection problem introduced to the updated model by identifying damaged structural members through a damage index based on static strain energy in the first step. Therefore, only a few variables are introduced to the second step, which include a process of updating the finite element model. This second step actually consists of an iterative process of updating the model, which uses a new and damage-sensitive objective function to detect the severity of damage in the elements identified in the previous step. Also, a meta-exploratory optimizer named equilibrium optimizer is utilized to determine the value of the unknown variables of the problem, which are the damage values of the elements introduced by the first step. The proposed method has also been tested on a number of numerical samples to check the effectiveness of the method in the presence of external disturbing factors such as measurement noise. A comparative study has been done to compare the results. According to the results, the proposed method is able to detect the location and severity of damage in different structures, and measurement noises and modal information only from the first few vibration modes do not have much impact on the accuracy of the results. A laboratory study has also been conducted to find out the efficiency and accuracy of the proposed method in real structures, and according to the results, the proposed method is well able to detect damage.
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The present study was conducted with the aim of the pathology of National Bank staff training system. Accordingly, the present study was based on the field dimension in terms of the study environment, in terms of purpose, it was applied, from the point of view of the da More
The present study was conducted with the aim of the pathology of National Bank staff training system. Accordingly, the present study was based on the field dimension in terms of the study environment, in terms of purpose, it was applied, from the point of view of the data collection period and from the point of view of the method of research, it was, descriptive-survey. The statistical population of the research in qualitative part consists of academic experts and managers of the branches of the Meli Bank of Iran. Ten people were selected for qualitative part acoording to targeted methed. In the quantitative part of the research, the statistical population included all employees of Meli Bank of Iran, Tehran Branches. Using a Cochran formula and a cluster sampling method, 365 employees of the Meli Bank were selected as sample size. Data collection was done in two ways: library and field studies. In the field, interviews and a researcher-made questionnaire were used. Validity of the questionnaire consisted of face validity, content and construct validity, and its reliability was determined by Cronbach's alpha coefficient and composite reliability coefficient .were measured and all were approved. Data analysis was done in descriptive and inferential parts. In the inferential part, structural equation modeling and other inferential statistics prototypes such as exploratory factor analysis and single sample t-test were also used.
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