Jan Häfele
Jan Häfele
Verified email at isd.uni-hannover.de - Homepage
Title
Cited by
Cited by
Year
An improved two-step soil-structure interaction modeling method for dynamical analyses of offshore wind turbines
J Häfele, C Hübler, CG Gebhardt, R Rolfes
Applied Ocean Research 55, 141-150, 2016
292016
A comprehensive fatigue load set reduction study for offshore wind turbines with jacket substructures
J Häfele, C Hübler, CG Gebhardt, R Rolfes
Renewable Energy 118, 99-112, 2018
252018
Experimentally supported consideration of operating point dependent soil properties in coupled dynamics of offshore wind turbines
C Hübler, J Häfele, CG Gebhardt, R Rolfes
Marine structures 57, 18-37, 2018
172018
Approaching the ideal design of jacket substructures for offshore wind turbines with a Particle Swarm Optimization algorithm
J Häfele, R Rolfes
The 26th International Ocean and Polar Engineering Conference, 156-163, 2016
122016
Multi-body dynamics analysis of power train judder oscillations considering aggregate dynamics
J Häfele, F Küçükay
International Journal of Vehicle Noise and Vibration 10 (1-2), 64-76, 2014
102014
A systematic approach to offshore wind turbine jacket predesign and optimization: geometry, cost, and surrogate structural code check models
J Häfele, RR Damiani, RN King, CG Gebhardt, R Rolfes
Wind Energy Science 3 (2), 553-572, 2018
82018
Efficient Fatigue Limit State Design Load Sets for Jacket Substructures Considering Probability Distributions of Environmental States
J Häfele, C Hübler, CG Gebhardt, R Rolfes
Proceedings of the Twenty-seventh, 167-173, 2017
82017
A comparison study on jacket substructures for offshore wind turbines based on optimization
J Häfele, CG Gebhardt, R Rolfes
Wind Energy Science 4 (1), 23-40, 2019
72019
Effective consideration of soil characteristics in time domain simulations of bottom fixed offshore wind turbines
C Hübler, J Häfele, A Ehrmann, R Rolfes
The 26th International Ocean and Polar Engineering Conference, 127-134, 2016
72016
Reconsidering Fatigue Limit State Load Sets for Jacket Substructures Utilizing Probability Distributions of Environmental States
J Häfele, C Hübler, CG Gebhardt, R Rolfes
The 27th International Ocean and Polar Engineering Conference, 167-173, 2017
62017
Meta-models for fatigue damage estimation of offshore wind turbines jacket substructures
S Brandt, M Broggi, J Hafele, CG Gebhardt, R Rolfes, M Beer
Procedia engineering 199, 1158-1163, 2017
62017
Strain estimation for offshore wind turbines with jacket substructures using dual-band modal expansion
M Henkel, J Häfele, W Weijtjens, C Devriendt, CG Gebhardt, R Rolfes
Marine Structures 71, 102731, 2020
52020
A comprehensive fatigue load set reduction study for offshore wind turbines with jacket substructures
J Hafele, C Hubler, CG Gebhardt, R Rolfes
Renewable energy 118, 99-112, 2018
42018
Blend Repair Shape Optimization for Damaged Compressor Blisks
R Berger, J Häfele, B Hofmeister, R Rolfes
12th World Congress of Structural and Multidisciplinary Optimization, 2017
42017
A numerically efficient and holistic approach to design optimization of offshore wind turbine jacket substructures
J Häfele
Hannover: Institutionelles Repositorium der Leibniz Universität Hannover, 2019
32019
EngiO–Object-oriented framework for engineering optimization
R Berger, M Bruns, A Ehrmann, A Haldar, J Häfele, B Hofmeister, ...
Advances in Engineering Software 153, 102959, 2021
12021
Dynamics of Geometrically-Nonlinear Beam Structures, Part 1: Numerical Modeling
D Anastasio, J Dietrich, JP Noël, G Kerschen, S Marchesiello, J Häfele, ...
Nonlinear Structures and Systems, Volume 1, 213-216, 2020
2020
Dynamics of Geometrically-Nonlinear Beam Structures, Part 2: Experimental Analysis
D Anastasio, J Dietrich, JP Noël, G Kerschen, S Marchesiello, J Häfele, ...
Nonlinear Structures and Systems, Volume 1, 217-220, 2020
2020
Optimization of Jacket Substructures Considering Detailed Cost and Load Assumptions
J Häfele, CG Gebhardt, R Rolfes
Offshore Wind R&D Conference, 2018
2018
Interactive comment on “A comparison study on jacket substructures for offshore wind turbines based on optimization” by Jan Häfele et al.
J Häfele
2018
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Articles 1–20