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MARE-WINT

Overview of attention for book
Cover of 'MARE-WINT'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Design of Wind Turbine Blades
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    Chapter 3 Damage Sensing in Blades
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    Chapter 4 Fibre Bragg Grating as a Multi-Stage Structure Health Monitoring Sensor
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    Chapter 5 Analysis and Design of Bend-Twist Coupled Wind Turbine Blades
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    Chapter 6 Improvement of Wind Turbine Blade Performance by Means of Rod Vortex Generators
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    Chapter 7 Trailing and Leading Edge Flaps for Load Alleviation and Structure Control
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    Chapter 8 OWT Drivetrain & Gearbox Simulation and Testing
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    Chapter 9 Dynamic Behavior of Bearings on Offshore Wind Turbine Gearboxes
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    Chapter 10 Experimental Characterization of Wind Turbine Gearbox in Operation
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    Chapter 11 An Overview of Analysis and Design of Offshore Wind Turbines
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    Chapter 12 Dynamic Response Analysis of Floating Wind Turbines with Emphasis on Vertical Axis Rotors
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    Chapter 13 Bottom Fixed Substructure Analysis, Model Testing and Design for Harsh Environment
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    Chapter 14 Detection of Damage in Metallic Structures for Offshore Applications
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    Chapter 15 Reliability and Preventive Maintenance
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    Chapter 16 An Overview of the CFD Analyses in the MARE-WINT Project
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    Chapter 17 CFD Investigation of a Complete Floating Offshore Wind Turbine
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    Chapter 18 CFD Study of DTU 10 MW RWT Aeroelasticity and Rotor-Tower Interactions
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    Chapter 19 An Overview of Offshore Wind Farm Design
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    Chapter 20 Large Eddy Simulation of Wind Farm Aerodynamics with Energy-Conserving Schemes
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    Chapter 21 A Theoretical Risk Management Framework for Vessels Operating Near Offshore Wind Farms
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    Chapter 22 ODIN-WIND: An Overview of the Decommissioning Process for Offshore Wind Turbines
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    Chapter 23 Wind Turbine Blades: An End of Life Perspective
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2 news outlets
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3 tweeters

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110 Mendeley
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Title
MARE-WINT
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-39095-6
ISBNs
978-3-31-939095-6, 978-3-31-939094-9
Editors

Wiesław Ostachowicz, Malcolm McGugan, Jens-Uwe Schröder-Hinrichs, Marcin Luczak

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 110 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 25%
Student > Master 17 15%
Student > Bachelor 16 15%
Researcher 12 11%
Student > Doctoral Student 7 6%
Other 8 7%
Unknown 22 20%
Readers by discipline Count As %
Engineering 66 60%
Energy 6 5%
Materials Science 2 2%
Psychology 1 <1%
Economics, Econometrics and Finance 1 <1%
Other 5 5%
Unknown 29 26%