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Academic Lecture by Prof. Carlos Martel at Universidad Politécnica de Madrid
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Academic Lecture by Prof. Carlos Martel at Universidad Politécnica de Madrid

Speaker: Prof. Carlos Martel

Host: Prof. Dingxi Wang

Time: 10:00am-11:00am, April 9, 2019

Place: Conference room 225, School of Power and Energy

Topic:  Intentional mistuning effect on the forced response sensitivity to random mistuning

Introduction:

Intentional mistuning is a common procedure to decrease the uncontrolled vibration amplification effects of the inherent random mistuning, and to reduce the sensitivity to it. The idea is to introduce an intentional mistuning pattern that is small but much larger than the existing random mistuning. The frequency of adjacent blades is moved apart by the intentional mistuning, reducing the effect of the blade-to-blade coupling and thus the effect of the random mistuning. The problem is analysed using the Asymptotic Mistuning Model methodology. A reduced order model is derived that allows us to understand the action mechanism of the intentional mistuning, and gives a simple expression for the estimation of its beneficial effect. The results from the reduced model are compared with those from the FEM simulation of two more realistic mistuned rotors.

Speaker’s Biography

Carlos Martel is Professor of Aerospace Engineering at Universidad Politécnica de Madrid (Spain) since 2009, where he also completed his PhD in Applied Mathematics in 1995. His research activity started in the field of nonlinear dynamics applied to basic fluid mechanics problems (convection, water waves, boundary layer). In the past 15 years he has been involved in the study of different aeroelastic problems in turbomachinery in close collaboration with the industry, mostly related to the analysis and description of mistuning effects in the flutter and forced response vibration of rotors. He has published more than 40 scientific and technical contributions, and has participated in more than 35 international conferences. He has taken part in more than 30 research projects, leading 13 of them in the past 10 years.



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