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Cited by 291Wind Energy Research and DevelopmentAeroelasticity and Vibration ControlWind Turbine Control Systems

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

FAST User's Guide - Updated August 2005

Open access

Abstract

The FAST (Fatigue, Aerodynamics, Structures, and Turbulence) Code is a comprehensive aeroelastic simulator capable of predicting both the extreme and fatigue loads of two- and three-bladed horizontal-axis wind turbines (HAWTs). This document covers the features of FAST and outlines its operating procedures.

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Metadata

Authors
Jonkman, J. M., & Buhl, M. L. J.
Published
2005-10-01
OpenAlex
W42571253
Cited by
268
References
3
Citations by year
2026: 14 · 2025: 24 · 2024: 29 · 2023: 33 · 2022: 37 · 2021: 22 · 2020: 28 · 2019: 19 · 2018: 30 · 2017: 7 · 2016: 6 · 2015: 2 · 2014: 4 · 2013: 3 · 2012: 4
Type
report
Language
en
Open access
Locations
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
  • University of North Texas Digital Library (University of North Texas) (submittedVersion)
Funders
  • U.S. Department of Energy (DE-AC36)
  • National Renewable Energy Laboratory
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Wind Energy Research and Development
  • Physical Sciences › Engineering › Aerospace Engineering › Aeroelasticity and Vibration Control
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Wind Turbine Control Systems
Keywords
FAST code, aeroelastic simulation, wind turbine loads, fatigue loading, extreme loads, horizontal axis wind turbine, three-bladed turbine, two-bladed turbine, wind turbine aerodynamics, wind turbine structural loads

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CoChat. (2026). Citation check: FAST User's Guide - Updated August 2005. https://app.cochat.ai/papers/10.2172/15020796
The paper
Jonkman, J. M., & Buhl, M. L. J. (2005). FAST User's Guide - Updated August 2005. https://doi.org/10.2172/15020796

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.