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Advanced Structural Wind Engineering

Overview of attention for book
Cover of 'Advanced Structural Wind Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Strong Winds and Their Characteristics
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    Chapter 2 Estimation of the Design Wind Speed
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    Chapter 3 Bluff Body Aerodynamics
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    Chapter 4 Long-Span Bridge Aerodynamics
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    Chapter 5 Wind-Induced Vibrations of Structures: With Special Reference to Tall Building Aerodynamics
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    Chapter 6 The Gust Factor Approach to Evaluate the Along-Wind Response of Structures to Wind Excitation
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    Chapter 7 Wind Loads on Building Components and Cladding
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    Chapter 8 Windborne Debris in Horizontal Winds and Applications to Impact Testing
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    Chapter 9 Understanding Wind Codes and Standards: Fundamentals Behind Their Provisions
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    Chapter 10 Numerical Simulation of Wind Effects
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    Chapter 11 CFD Applications in Structural Wind Engineering
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    Chapter 12 Human Perception and Tolerance of Wind-Induced Building Motion
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    Chapter 13 Damping in Buildings and Estimation Techniques
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    Chapter 14 Control of the Wind Induced Response of Structures
Attention for Chapter 13: Damping in Buildings and Estimation Techniques
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Readers on

mendeley
23 Mendeley
Summary
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Chapter title
Damping in Buildings and Estimation Techniques
Chapter number 13
Book title
Advanced Structural Wind Engineering
Published by
Springer, Tokyo, January 2013
DOI 10.1007/978-4-431-54337-4_13
Book ISBNs
978-4-43-154336-7, 978-4-43-154337-4
Authors

Yukio Tamura, Tamura, Yukio

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 43%
Other 2 9%
Researcher 2 9%
Student > Master 2 9%
Student > Doctoral Student 1 4%
Other 1 4%
Unknown 5 22%
Readers by discipline Count As %
Engineering 16 70%
Computer Science 1 4%
Unknown 6 26%

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