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Publikationen von Professorinnen und Professoren der HAW Hamburg

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Frank Ihlenburg, Marc Zarnekow und Thomas Grätsch
Simulation of vibrational sources and vibroacoustic transfer in wind turbine drivetrains
Annual Meeting, The International Association of Applied Mathematics and Mechanics (GAMM)
J. Wiley (Hrsg.) Proceedings of the 90th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM)

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Julius Weyl, Daniel Glake, Ulfia A. Lenfers, Fabian Panse, Norbert Ritter und Thomas Clemen
Large-scale Traffic Simulation for Smart City Planning with MARS
Proc. of the Summer Simulation Conference, Berlin , Seite 12.
Hannah Hoppen, Felix Langfeldt, Wolfgang Gleine und Otto von Estorff
Aircraft side wall with improved low-frequency sound insulation using a lining panel with helmholtz resonators
26th International Congress on Sound and Vibration
7.-11. Juli 2019
ICSV26 Local Committee (Hrsg.) Proceedings of the 26th International Congress on Sound and Vibration
Verlag: Canadian Acoustical Association,

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Felix Langfeldt und Wolfgang Gleine
Einfluss von Nebenwegen auf die Schalldämmung von akustischen Metamaterialien
DAGA 2019 - 45. Jahrestagung für Akustik
18.-21. März 2018
Fortschritte der Akustik - DAGA 2019 , Seite 429-432.
Verlag: Deutsche Gesellschaft für Akustik e.V. (DEGA), Berlin

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Hannah Hoppen, Felix Langfeldt, Wolfgang Gleine und Otto von Estorff
Gekoppelter Helmholtz-Resonator mit schwingfähigem mechanischem Resonator
DAGA 2019 - 45. Jahrestagung für Akustik
18.-21. März 2018
Fortschritte der Akustik - DAGA 2019 , Seite 433-436.
Verlag: Deutsche Gesellschaft für Akustik e.V. (DEGA), Berlin

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Mike Gerdes
Health Monitoring for Aircraft Systems using Decision Trees and Genetic Evolution
Luleå University of Technology / Hamburg University of Applied Sciences, Verlag: Luleå University of Technology, Luleå, Schweden. Betreuer / Supervisor: Prof. Dr. Dieter Scholz,

Schlüsselwörter: Luftfahrt, Luftfahrzeug, Intandhaltung, Flugzeugsysteme, Wartung, Aeronautics, Airplanes, Decision Trees, Genetic algorithms, Expert systems, Machine learning, Big data, Pattern reognition systems, Condition Monitoring, Remaining Useful Life Prediction, Decision Tree, Fuzzy Decision Tree Evaluation, System Monitoring, Aircraft Health Monitoring, Feature Extraction, Feature Selection, Data Driven, Health Prognostic, Knowledge Based System, Supervised Learning, Data-Driven Predictive Health Monitoring, Health Indicators, HAW-DISS, FF-DISS, AERO-DISS

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Zusammenfassung: Reducing unscheduled maintenance is important for aircraft operators. There are significant costs if flights must be delayed or cancelled, for example, if spares are not available and have to be shipped across the world. This thesis describes three methods of aircraft health condition monitoring and prediction; one for system monitoring, one for forecasting and one combining the two other methods for a complete monitoring and prediction process. Together, the three methods allow organizations to forecast possible failures. The first two use decision trees for decision-making and genetic optimization to improve the performance of the decision trees and to reduce the need for human interaction. Decision trees have several advantages: the generated code is quickly and easily processed, it can be altered by human experts without much work, it is readable by humans, and it requires few resources for learning and evaluation. The readability and the ability to modify the results are especially important; special knowledge can be gained and errors produced by the automated code generation can be removed. A large number of data sets is needed for meaningful predictions. This thesis uses two data sources: first, data from existing aircraft sensors, and second, sound and vibration data from additionally installed sensors. It draws on methods from the field of big data and machine learning to analyse and prepare the data sets for the prediction process.

Konferenz-/Workshop-/Podiumsdiskussionsbeiträge, Ausstellungs-/Modenschaubeteiligungen:

Aurelio Jose Olivares Ferrer, Markus Linke und Juan Antonio García Manrique
Influence of geometric imperfections and internal damage patterns of thin-walled laminates on failure in Compression-After-Impact testing
MESIC 2019 conference
Madrid (Spanien)
20 Juni 2019

Schlüsselwörter: Finite elements; Abaqus; Compression-After-Impact testing; geometric imperfection; delamination; internal damage; composites; CFRP; ultrasonic scan; low-energy impacts.

Marker: F+F

Zusammenfassung: Geometric imperfections are induced in composite structures due to manufacturing and assembly processes as well as due to accidental impacts. These geometric imperfections have an influence on the strength of thin-walled composite structures when impact damage is present. Therefore, the influence of the geometric imperfection magnitude on the failure mechanisms of thinwalled laminates with initial internal damage patterns under Compression-After-Impact testing is investigated by creating a finite element model based on different experimental validations. These experiments are a set of tensile tests, low energy impact tests with a pendulum system to induce the internal damage patterns, ultrasonic scanning of the damaged samples to characterize the delaminated areas and, finally, a set of Compression-After-Impact tests combined with digital imaging correlation data using an ARAMIS 3D measuring system (Gom mbH, Braunschweig, Germany). Compression-After-Impact tests are carried out with a frame modified for thin-walled laminates enabling a more reliable measurement of thin laminates. All these data collected during the experiments and damage inspections are used to build up and validate the simulations with the Finite Element code Abaqus (Dassault Systèmes SA, Paris, France). Finally, potential interactions between global and local failure mechanisms in Compression- After-Impact testing are analyzed with different imperfection magnitudes and interface damage idealizations based on these models. The results show an increase of the failure strength with the initial imperfection magnitude.

Hardy Gundlach
Medienpolitik und -regulierung: Kriterien der Meinungsvielfalt, Internetregulierung, Medienkonzentrationskontrolle
Friedrich-Schiller-Universität Jena, Institut für Kommunikationswissenschaft, Jena, Masterstudiengang Öffentliche Kommunikation

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Thomas Grätsch, Frank Ihlenburg und Marc Zarnekow
Simulation of sound radiation of wind turbines using large-scale finite element models
Wind Turbine Noise 2019: International Conference on Wind Turbine Noise (Hrsg.)
Lissabon, Portugal

Marker: TI-I



Emmanuel Baccelli, Cenk Gündogan, Oliver Hahm, Peter Kietzmann, Martine Lenders, Hauke Petersen, Kaspar Schleiser, Thomas C. Schmidt und Matthias Wählisch
RIOT: an Open Source Operating System for Low-end Embedded Devices in the IoT
IEEE Internet of Things Journal, 5(6):4428--4440
Dezember 2018

Marker: TI-I

Zusammenfassung: As the Internet of Things (IoT) emerges, compact operating systems are required on low-end devices to ease development and portability of IoT applications. RIOT is a prominent free and open source operating system in this space. In this paper, we provide the first comprehensive overview of RIOT. We cover the key components of interest to potential developers and users: the kernel, hardware abstraction, and software modularity, both conceptually and in practice for various example configurations. We explain operational aspects like system boot-up, timers, power management, and the use of networking. Finally, the relevant APIs as exposed by the operating system are discussed along with the larger ecosystem around RIOT, including development and open source community aspects.

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Letzte Änderung: 23.01.15

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