Lance Manuel

Professor

University of Texas at Austin

United States

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Professor Lance Manuel is a faculty member at the University of Texas at Austin, USA. His research focuses on offshore energy systems, including wind energy generation, fatigue design for offshore applications, and marine riser fatigue damage. He is also involved in advancements in numerical weather prediction and uncertainty quantification in structural dynamics.

Articles (15)

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2025

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2024

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2021

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2021

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2020

Collaborators (25)

Eunshin Byon

University of Michigan

UNITED STATES

Lance Manuel

Research Interests

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About

Articles (15)

On the performance of a repurposed oil and gas platform for offshore wind energy generation

On long-term fatigue damage estimation for a floating offshore wind turbine using a surrogate model

High-cycle fatigue design curves of mild- and high-strength steels for offshore applications

Grand Challenges in the Design, Manufacture, and Operation of Future Wind Turbine Systems

Uncertainty quantification of wood floor system modal frequencies resulting from variable densities in members

The Effect of Porous Media on Wave-Induced Sloshing in a Floating Tank

A surrogate model for estimating uncertainty in marine riser fatigue damage resulting from vortex-induced vibration

SDG Final Decade of Action: Resilient Pathways to Build Back Better from High-Impact Low-Probability (HILP) Events

Spatiotemporal Post-Calibration in a Numerical Weather Prediction Model for Quantifying Building Energy Consumption

On limiting the influence of serial correlation in metocean data for prediction of extreme return levels and environmental contours

A benchmarking exercise for environmental contours

A Simulation Study on Risks to Wind Turbine Arrays from Thunderstorm Downbursts in Different Atmospheric Stability Conditions

Residual stress effects on fatigue life prediction using hardness measurements for butt-welded joints made of high strength steels

Toward understanding waked flow fields behind a wind turbine using proper orthogonal decomposition

Wind Field-Based Short-Term Turbine Response Forecasting by Stacked Dilated Convolutional LSTMs

Collaborators (25)

Eunshin Byon

Chris Kees

Sotirios Argyroudis

Henrik Bredmose

Narakorn Srinil

Sukanta Basu

ENZO MARINO

Daniel Hölbling

Aljoscha Sander

Ásta Hannesdóttir

Paul Veers

Helge Aagaard Madsen

Peter Persson

Kristen Cetin

Carlo Luigi Bottasso

Jinkyoo Park

Lars Vabbersgaard Andersen

Christiane Werner

Arne Huseby

Nikolay Krasimirov Dimitrov

Maria Pregnolato

Thanasis Barlas

Jennifer Rinker

philip jonathan

Andrew Myers

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