DAMAGE DETECTION METHOD OF STEEL ARCH BRIDGE USING SOM
نویسندگان
چکیده
منابع مشابه
Damage Detection of Bridge by Rayleigh-Ritz Method
As a result of environmental and accidental actions, damage occurs in structures. The early detection of any defect can be achieved by regular inspection and condition assessment. In this way, the safety and reliability of structures can be increased. This paper is devoted to propose a new and effective method for detecting, locating, and quantifying beam-like structures. This method is based o...
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 کاملDamage Detection of Bridge using Wireless Sensors
Bridges are essential links in any surface transportation network. A damage to an important bridge may result in enduring economic loss due to partial or complete closure of the route in addition to the cost of repair or replacement. Also, survival of bridges are of utmost importance in the aftermath of a devastating earthquake in order to facilitate rescue operations. Therefore, it has become ...
متن کاملStructural damage detection of steel bridge girder using artificial neural networks and finite element models
Damage in structures often leads to failure. Thus it is very important to monitor structures for the occurrence of damage. When damage happens in a structure the consequence is a change in its modal parameters such as natural frequencies and mode shapes. Artificial Neural Networks (ANNs) are inspired by human biological neurons and have been applied for damage identification with varied success...
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 کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Japan Society of Civil Engineers, Ser. A2 (Applied Mechanics (AM))
سال: 2017
ISSN: 2185-4661
DOI: 10.2208/jscejam.73.i_813