@book{JanserHavermann2012,
  author    = {Janser, Frank and Havermann, Marc},
  title     = {Inkompressible Str{\"o}mungen},
  publisher = {Mainz},
  address   = {Aachen},
  isbn      = {978-3-86130-446-3},
  pages     = {189 S. : Ill., graph. Darst.},
  year      = {2012},
  language  = {en}
}
@incollection{Janser2013,
  author    = {Janser, Frank},
  title     = {Zukunftssicherung im Mittelstand - Kooperation zwischen der Stacke Tresorbau GmbH und der Fachhochschule Aachen},
  series = {Innovation durch Kooperation : wie der Mittelstand durch Zusammenarbeit mit den Hochschulen seine Wettbewerbsf{\"a}higkeit steigert : Festschrift f{\"u}r Prof. Dr. rer. nat. Johannes Gartzen / Thomas Gartzen, Ute Gartzen (Hrsg.)},
  booktitle = {Innovation durch Kooperation : wie der Mittelstand durch Zusammenarbeit mit den Hochschulen seine Wettbewerbsf{\"a}higkeit steigert : Festschrift f{\"u}r Prof. Dr. rer. nat. Johannes Gartzen / Thomas Gartzen, Ute Gartzen (Hrsg.)},
  publisher = {Apprimus Verlag},
  address   = {Aachen},
  isbn      = {978-3-86359-136-6},
  pages     = {179 -- 183},
  year      = {2013},
  language  = {de}
}
@inproceedings{NeuJanserKhatibietal.2015,
  author    = {Neu, Eugen and Janser, Frank and Khatibi, Akbar A. and Orifici, Adrian C.},
  title     = {Operational modal analysis of a cantilever in a wind tunnel using optical fiber bragg grating sensors},
  series = {6th International Operational Modal Analysis Conference. IOMAC´15. 2015 May 12-14 Gijon - Spain},
  booktitle = {6th International Operational Modal Analysis Conference. IOMAC´15. 2015 May 12-14 Gijon - Spain},
  doi       = {10.13140/RG.2.1.3753.0324},
  pages     = {10 S.},
  year      = {2015},
  language  = {en}
}
@article{BindalSharmaJanseretal.2013,
  author    = {Bindal, Gaurav and Sharma, Sparsh and Janser, Frank and Neu, Eugen},
  title     = {Detailed analysis of variables affecting wing kinematics of bat flight},
  series = {SAE International Journal of Aerospace},
  volume    = {6},
  journal   = {SAE International Journal of Aerospace},
  number    = {2},
  issn      = {1946-3901},
  doi       = {10.4271/2013-01-9003},
  pages     = {811 -- 818},
  year      = {2013},
  language  = {en}
}
@article{HoevelerJanserBindewaldetal.2015,
  author    = {Hoeveler, Bastian and Janser, Frank and Bindewald, Thorsten and Gebhardt, Andreas},
  title     = {Entwurf, Fertigung und Untersuchung eines Windkanalmodells eines innovativen, senkrechtstartenden Kleinflugzeuges},
  series = {RTejournal - Forum f{\"u}r Rapid Technologie},
  journal   = {RTejournal - Forum f{\"u}r Rapid Technologie},
  number    = {12},
  publisher = {Fachhochschule Aachen},
  address   = {Aachen},
  issn      = {1614-0923},
  url       = {http://nbn-resolving.de/urn:nbn:de:0009-2-42921},
  pages     = {1 -- 5},
  year      = {2015},
  language  = {de}
}
@article{NeuJanserKhatibietal.2016,
  author    = {Neu, Eugen and Janser, Frank and Khatibi, Akbar A. and Braun, Carsten and Orifici, Adrian C.},
  title     = {Operational Modal Analysis of a wing excited by transonic flow},
  series = {Aerospace Science and Technology},
  volume    = {49},
  journal   = {Aerospace Science and Technology},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1270-9638},
  doi       = {10.1016/j.ast.2015.11.032},
  pages     = {73 -- 79},
  year      = {2016},
  abstract  = {Operational Modal Analysis (OMA) is a promising candidate for flutter testing and Structural Health Monitoring (SHM) of aircraft wings that are passively excited by wind loads. However, no studies have been published where OMA is tested in transonic flows, which is the dominant condition for large civil aircraft and is characterized by complex and unique aerodynamic phenomena. We use data from the HIRENASD large-scale wind tunnel experiment to automatically extract modal parameters from an ambiently excited wing operated in the transonic regime using two OMA methods: Stochastic Subspace Identification (SSI) and Frequency Domain Decomposition (FDD). The system response is evaluated based on accelerometer measurements. The excitation is investigated from surface pressure measurements. The forcing function is shown to be non-white, non-stationary and contaminated by narrow-banded transonic disturbances. All these properties violate fundamental OMA assumptions about the forcing function. Despite this, all physical modes in the investigated frequency range were successfully identified, and in addition transonic pressure waves were identified as physical modes as well. The SSI method showed superior identification capabilities for the investigated case. The investigation shows that complex transonic flows can interfere with OMA. This can make existing approaches for modal tracking unsuitable for their application to aircraft wings operated in the transonic flight regime. Approaches to separate the true physical modes from the transonic disturbances are discussed.},
  language  = {en}
}
@book{JanserHavermann2015,
  author    = {Janser, Frank and Havermann, Marc},
  title     = {Inkompressible Str{\"o}mungen},
  edition   = {3. Aufl.},
  publisher = {Verlagshaus Mainz GmbH},
  address   = {Aachen},
  isbn      = {978-3-86130-446-3},
  pages     = {VIII, 83 S. : Ill ; Diagramme},
  year      = {2015},
  language  = {de}
}
@article{BergmannGoettenBraunetal.2022,
  author    = {Bergmann, Ole and G{\"o}tten, Falk and Braun, Carsten and Janser, Frank},
  title     = {Comparison and evaluation of blade element methods against RANS simulations and test data},
  series = {CEAS Aeronautical Journal},
  volume    = {13},
  journal   = {CEAS Aeronautical Journal},
  publisher = {Springer},
  address   = {Wien},
  issn      = {1869-5590 (Online)},
  doi       = {10.1007/s13272-022-00579-1},
  pages     = {535 -- 557},
  year      = {2022},
  abstract  = {This paper compares several blade element theory (BET) method-based propeller simulation tools, including an evaluation against static propeller ground tests and high-fidelity Reynolds-Average Navier Stokes (RANS) simulations. Two proprietary propeller geometries for paraglider applications are analysed in static and flight conditions. The RANS simulations are validated with the static test data and used as a reference for comparing the BET in flight conditions. The comparison includes the analysis of varying 2D aerodynamic airfoil parameters and different induced velocity calculation methods. The evaluation of the BET propeller simulation tools shows the strength of the BET tools compared to RANS simulations. The RANS simulations underpredict static experimental data within 10\% relative error, while appropriate BET tools overpredict the RANS results by 15-20\% relative error. A variation in 2D aerodynamic data depicts the need for highly accurate 2D data for accurate BET results. The nonlinear BET coupled with XFOIL for the 2D aerodynamic data matches best with RANS in static operation and flight conditions. The novel BET tool PropCODE combines both approaches and offers further correction models for highly accurate static and flight condition results.},
  language  = {en}
}
@inproceedings{NeuJanserKhatibietal.2016,
  author    = {Neu, Eugen and Janser, Frank and Khatibi, Akbar A. and Orifici, Adrian C.},
  title     = {In-flight vibration-based structural health monitoring of aircraft wings},
  series = {30th Congress of the internatonal council of the aeronautical sciences : 25.-30. September 2016, Daejeon, Korea},
  booktitle = {30th Congress of the internatonal council of the aeronautical sciences : 25.-30. September 2016, Daejeon, Korea},
  pages     = {10 Seiten},
  year      = {2016},
  abstract  = {This work presents a methodology for automated damage-sensitive feature extraction and anomaly detection under multivariate operational variability for in-flight assessment of wings. The method uses a passive excitation approach, i. e. without the need for artificial actuation. The modal system properties (natural frequencies and damping ratios) are used as damage-sensitive features. Special emphasis is placed on the use of Fiber Bragg Grating (FBG) sensing technology and the consideration of Operational and Environmental Variability (OEV). Measurements from a wind tunnel investigation with a composite cantilever equipped with FBG and piezoelectric sensors are used to successfully detect an impact damage. In addition, the feasibility of damage localisation and severity estimation is evaluated based on the coupling found between damageand OEV-induced feature changes.},
  language  = {en}
}
@book{JanserHavermannHoeveleretal.2016,
  author    = {Janser, Frank and Havermann, Marc and Hoeveler, Bastian and Hertz, Cyril},
  title     = {Inkompressible Profil- und Tragfl{\"u}gelaerodynamik},
  series = {Str{\"o}mungslehre und Aerodynamik ; Band 2},
  journal   = {Str{\"o}mungslehre und Aerodynamik ; Band 2},
  edition   = {1. Auflage},
  publisher = {Verlagshaus Mainz GmbH},
  address   = {Aachen},
  isbn      = {978-3-8107-0261-6},
  pages     = {XIII, 208 Seiten},
  year      = {2016},
  language  = {de}
}