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Multifidelity Modeling in Vibration Analysis teaches users how to make predictions about physical systems in a computationally inexpensive manner.
The aim of this book is to introduce the concept of multifidelity modeling through structural dynamics case studies. The book focuses on vibration analysis problems to illustrate how multifidelity methods work. Two key methods - the response surface methods and the co-kriging method - are discussed to present the reader with state of the art practices that are easy to implement. Also, two different physics-based mathematical models of a system, the Euler-Bernoulli beam model and the Timoshenko beam model, are used at two disparate levels of discretization.
This book will help graduate students, researchers, and scientists who are interested in applying multifidelity models to uncertainty quantification, optimization, and robust and reliability-based design problems of vibration of engineering systems.
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Multifidelity Modeling in Vibration Analysis teaches users how to make predictions about physical systems in a computationally inexpensive manner.
The aim of this book is to introduce the concept of multifidelity modeling through structural dynamics case studies. The book focuses on vibration analysis problems to illustrate how multifidelity methods work. Two key methods - the response surface methods and the co-kriging method - are discussed to present the reader with state of the art practices that are easy to implement. Also, two different physics-based mathematical models of a system, the Euler-Bernoulli beam model and the Timoshenko beam model, are used at two disparate levels of discretization.
This book will help graduate students, researchers, and scientists who are interested in applying multifidelity models to uncertainty quantification, optimization, and robust and reliability-based design problems of vibration of engineering systems.