A field experiment on a steel Gerber-truss bridge for damage detection utilizing vehicle-induced vibrations
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چکیده
منابع مشابه
Comparison Study on Neural Networks in Damage Detection of Steel Truss Bridge
This paper presents the application of three main Artificial Neural Networks (ANNs) in damage detection of steel bridges. This method has the ability to indicate damage in structural elements due to a localized change of stiffness called damage zone. The changes in structural response is used to identify the states of structural damage. To circumvent the difficulty arising from the non-linear n...
متن کاملcomparison study on neural networks in damage detection of steel truss bridge
this paper presents the application of three main artificial neural networks (anns) in damage detection of steel bridges. this method has the ability to indicate damage in structural elements due to a localized change of stiffness called damage zone. the changes in structural response is used to identify the states of structural damage. to circumvent the difficulty arising from the non-linear n...
متن کاملcomparison study on neural networks in damage detection of steel truss bridge
this paper presents the application of three main artificial neural networks (anns) in damage detection of steel bridges. this method has the ability to indicate damage in structural elements due to a localized change of stiffness called damage zone. the changes in structural response is used to identify the states of structural damage. to circumvent the difficulty arising from the non-linear n...
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Recent developments in Artificial Neural Networks (ANNs) have opened up new possibilities in the domain of inverse problems. For inverse problems like structural identification of large structures (such as bridges) where in situ measured data are expected to be imprecise and often incomplete, ANNs may hold greater promise. This study presents a method for estimating the damage intensities of jo...
متن کاملMulti-Damage Detection for Steel Beam Structure
Damage detection has been focused by researchers because of its importance in engineering practices. Therefore, different approaches have been presented to detect damage location in structures. However, the higher the accuracy of methods is required the more complex deliberations. Based on the conventional studies, it was observed that the damage locations and its size are associated with dynam...
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ژورنال
عنوان ژورنال: Structural Health Monitoring
سال: 2016
ISSN: 1475-9217,1741-3168
DOI: 10.1177/1475921715627506