Kumar, Pradeep (2011) Optimization of structural parameters using artificial neural network for vibration reduction in beams. BTech thesis.
Recently optimization of structural parameters like stiffness coefficient and damping coefficient, using artificial neural network for vibration reduction in beam has become a major application in aerodynamics and many other fields. By placing the PVC dampers of different cross sectional area at different locations along a beam, we have to minimize the response and the response time of the beam due to vibrations. Measuring factor of damping (reduction in vibration) is the LOSS FACTOR (Ω) for the system. Along the beam, where the loss factor is more, it gives us an optimal position for placing the damper. It also gives stability to the structure. The stability of the beam enhances due to increase in core loss factor also.
|Item Type:||Thesis (BTech)|
|Uncontrolled Keywords:||Artificial Neural Network, Vibration Reduction, Core loss Factor|
|Subjects:||Engineering and Technology > Mechanical Engineering|
Engineering and Technology > Mechanical Engineering > Machine Design
|Divisions:||Engineering and Technology > Department of Mechanical Engineering|
|Deposited By:||pradeep kumar|
|Deposited On:||11 May 2011 14:19|
|Last Modified:||11 May 2011 14:19|
|Supervisor(s):||Mohanty, S C|
Repository Staff Only: item control page