Structural Dynamics in Engineering Design

Structural Dynamics in Engineering Design PDF Author: Nuno M. M. Maia
Publisher: John Wiley & Sons
ISBN: 1118770706
Category : Technology & Engineering
Languages : en
Pages : 596

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Book Description
World-class authors describe and illustrate how structural dynamics is applied to the engineering design process Structural Dynamics in Engineering Design covers the fundamentals of structural dynamics and its application to the engineering design process, providing all of the necessary information to implement an optimal design process. Each of its seven chapters is written by an expert in the field and provides the reader with the structural dynamic theoretical background and its more practical aspects for the implementation of an advanced design capability. The first three chapters are dedicated to the underlying theory of the three main processes: the fundamentals of vibration theory, the basis of experimental dynamics and the main numerical analysis tools (including reference to the finite element method). Having laid the foundation of the design philosophy, the following three chapters present the reader with the three disciplines of identification, nonlinear analysis and validation/updating. The final chapter presents some applications of the approach to real and complex engineering cases. Key features: Takes a multi-disciplinary approach and contains critical information on theory, testing and numerical analysis for structural dynamics. Includes a chapter on industrial applications (including aircraft design and ground vibration testing), which illustrates the design process and explains how structural dynamics is applied at different stages. The book is a must-have for researchers and practitioners in mechanical and aerospace engineering (in particular test engineers, CAE analysts and structural dynamicists), as well as graduate students in mechanical and aerospace engineering departments.

Monthly Catalog of United States Government Publications

Monthly Catalog of United States Government Publications PDF Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 1076

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Book Description


Structural Dynamics in Engineering Design

Structural Dynamics in Engineering Design PDF Author: Nuno M. M. Maia
Publisher: John Wiley & Sons
ISBN: 1118770684
Category : Technology & Engineering
Languages : en
Pages : 596

Get Book Here

Book Description
World-class authors describe and illustrate how structural dynamics is applied to the engineering design process Structural Dynamics in Engineering Design covers the fundamentals of structural dynamics and its application to the engineering design process, providing all of the necessary information to implement an optimal design process. Each of its seven chapters is written by an expert in the field and provides the reader with the structural dynamic theoretical background and its more practical aspects for the implementation of an advanced design capability. The first three chapters are dedicated to the underlying theory of the three main processes: the fundamentals of vibration theory, the basis of experimental dynamics and the main numerical analysis tools (including reference to the finite element method). Having laid the foundation of the design philosophy, the following three chapters present the reader with the three disciplines of identification, nonlinear analysis and validation/updating. The final chapter presents some applications of the approach to real and complex engineering cases. Key features: Takes a multi-disciplinary approach and contains critical information on theory, testing and numerical analysis for structural dynamics. Includes a chapter on industrial applications (including aircraft design and ground vibration testing), which illustrates the design process and explains how structural dynamics is applied at different stages. The book is a must-have for researchers and practitioners in mechanical and aerospace engineering (in particular test engineers, CAE analysts and structural dynamicists), as well as graduate students in mechanical and aerospace engineering departments.

Accelerometer Data Analysis and Presentation Techniques

Accelerometer Data Analysis and Presentation Techniques PDF Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781722041434
Category :
Languages : en
Pages : 46

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Book Description
The NASA Lewis Research Center's Principal Investigator Microgravity Services project analyzes Orbital Acceleration Research Experiment and Space Acceleration Measurement System data for principal investigators of microgravity experiments. Principal investigators need a thorough understanding of data analysis techniques so that they can request appropriate analyses to best interpret accelerometer data. Accelerometer data sampling and filtering is introduced along with the related topics of resolution and aliasing. Specific information about the Orbital Acceleration Research Experiment and Space Acceleration Measurement System data sampling and filtering is given. Time domain data analysis techniques are discussed and example environment interpretations are made using plots of acceleration versus time, interval average acceleration versus time, interval root-mean-square acceleration versus time, trimmean acceleration versus time, quasi-steady three dimensional histograms, and prediction of quasi-steady levels at different locations. An introduction to Fourier transform theory and windowing is provided along with specific analysis techniques and data interpretations. The frequency domain analyses discussed are power spectral density versus frequency, cumulative root-mean-square acceleration versus frequency, root-mean-square acceleration versus frequency, one-third octave band root-mean-square acceleration versus frequency, and power spectral density versus frequency versus time (spectrogram). Instructions for accessing NASA Lewis Research Center accelerometer data and related information using the internet are provided. Rogers, Melissa J. B. and Hrovat, Kenneth and McPherson, Kevin and Moskowitz, Milton E. and Reckart, Timothy Glenn Research Center RTOP 963-60-0D...

SME Technical Paper

SME Technical Paper PDF Author: Society of Manufacturing Engineers
Publisher:
ISBN:
Category : Industrial engineering
Languages : en
Pages : 502

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Book Description


The Earth Observer

The Earth Observer PDF Author:
Publisher:
ISBN:
Category : Artificial satellites in earth sciences
Languages : en
Pages : 272

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Book Description


AIAA Aerospace Sciences Meeting and Exhibit, 42nd

AIAA Aerospace Sciences Meeting and Exhibit, 42nd PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 666

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37th AIAA Aerospace Sciences Meeting and Exhibit

37th AIAA Aerospace Sciences Meeting and Exhibit PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 704

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Monitoring the Microgravity Environment Quality On-Board the International Space Station Using Soft Computing Techniques

Monitoring the Microgravity Environment Quality On-Board the International Space Station Using Soft Computing Techniques PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 18

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Book Description


Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 364

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Book Description


Machine Learning Techniques for Assistive Robotics

Machine Learning Techniques for Assistive Robotics PDF Author: Miguel Angel Cazorla Quevedo
Publisher: MDPI
ISBN: 3039363387
Category : Technology & Engineering
Languages : en
Pages : 210

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Book Description
Assistive robots are categorized as robots that share their area of work and interact with humans. Their main goals are to help, assist, and monitor humans, especially people with disabilities. To achieve these goals, it is necessary that these robots possess a series of characteristics, namely the abilities to perceive their environment from their sensors and act consequently, to interact with people in a multimodal manner, and to navigate and make decisions autonomously. This complexity demands computationally expensive algorithms to be performed in real time. The advent of high-end embedded processors has enabled several such algorithms to be processed concurrently and in real time. All these capabilities involve, to a greater or less extent, the use of machine learning techniques. In particular, in the last few years, new deep learning techniques have enabled a very important qualitative leap in different problems related to perception, navigation, and human understanding. In this Special Issue, several works are presented involving the use of machine learning techniques for assistive technologies, in particular for assistive robots.