TY - GEN A1 - Wehbi, Kassem A1 - Bestle, Dieter A1 - Beilharz, Jörg T1 - Automatic Calibration Process for Optimal Control of Clutch Engagement during Launch T2 - Mechanics Based Design of Structures and Machines Y1 - 2017 U6 - https://doi.org/10.1080/15397734.2016.1250221 SN - 1539-7742 VL - 45 IS - 4 SP - 507 EP - 522 ER - TY - GEN A1 - Abbas, Laith K. A1 - Zhou, Qinbo A1 - Bestle, Dieter A1 - Rui, Xiaoting T1 - A Unified Approach for Treating Multibody Systems Involving Flexible Beams T2 - Mechanism and Machine Theory Y1 - 2017 U6 - https://doi.org/10.1016/j.mechmachtheory.2016.09.022 SN - 0094-114X VL - 107 SP - 197 EP - 209 ER - TY - CHAP A1 - Hartwig, Lennard A1 - Bestle, Dieter T1 - Compressor Blade Design for Stationary Gas Turbines Using Dimension Reduced Surrogate Modeling T2 - IEEE Congress on Evolutionary Computation, 5.-8.6.2017, Donostia/San Sebastián, Spain KW - Compressor Blade Design KW - Surrogate Modelling KW - Coupled Optimization Y1 - 2017 SN - 978-1-5090-4601-0 SN - 978-1-5090-4602-7 U6 - https://doi.org/10.1109/CEC.2017.7969493 SP - 1595 EP - 1602 PB - IEEE CY - Piscataway, NJ ER - TY - CHAP A1 - Hendler, Marco A1 - Extra, Simon A1 - Lockan, Michael A1 - Bestle, Dieter A1 - Flassig, Peter Michael T1 - Compressor Design in the Context of Holistic Aero Engine Design T2 - 2017 AIAA Aviation Forum, Denver, AIAA-2017-3334, 2017 KW - Holistic Optimization KW - Aero Engines KW - Computational Fluid Dynamics Y1 - 2017 U6 - https://doi.org/10.2514/6.2017-3334 ER - TY - CHAP A1 - Lockan, Michael A1 - Bestle, Dieter A1 - Janke, Christian A1 - Meyer, Marcus T1 - Optimization of Coupled System Components Using Approximations of Interface Quantities T2 - ASME Turbo Expo 2017, Turbomachinery Conference and Exposition, Volume 2C, Turbomachinery Charlotte, North Carolina, USA, June 26-30, 2017 KW - Optimization KW - Approximation Y1 - 2017 SN - 978-0-7918-5080-0 U6 - https://doi.org/10.1115/GT2017-64135 N1 - GT2017-64135 PB - ASME CY - New York, NY ER - TY - GEN A1 - Martin, Ivo A1 - Bestle, Dieter T1 - Automated eigenmode classification for airfoils in the presence of fixation uncertainties T2 - Engineering Applications of Artificial Intelligence N2 - Abstract Automated structural design optimization should take into acc ount risk of failure which depends on eigenmodes, since eigenmode shap es determine failure risk by their characteristic stress concentration pattern, as well as by their specific interaction with excitations. T hus, such a process needs to be able to identify eigenmodes with low e rror rate. This is a rather challenging task, because eigenmodes depen d on the geometry of the structure which is changing during the design process, and on boundary conditions which are not clearly defined due to uncertainties in the assembly and running conditions. The present investigation aims to find a proper classification method for eigenmod es of compressor airfoils. Specific data normalization and data depend ent initialization of a neural network using principle-component direc tions as initial weight vectors have led to the development of a class ification and decision procedure enabling automatic assignment of prop er uncertainty bands to eigenfrequencies of a specific eigenmode shape . Application to compressor airfoils of a stationary gas-turbine with hammer-foot and dove-tail roots demonstrates the high performance of t he proposed procedure. KW - Principle-component analysis Y1 - 2018 UR - https://www.sciencedirect.com/science/article/pii/S0952197617302361 U6 - https://doi.org/https://doi.org/10.1016/j.engappai.2017.09.022 SN - 0952-1976 VL - 67 SP - 187 EP - 196 ER - TY - GEN A1 - Hofmann, Timo A1 - Brenner, Tobias A1 - Bestle, Dieter T1 - Investigation of the Disc Deflection Behavior of Shim Valves in Vehicle Shock Absorbers T2 - SAE technical papers Y1 - 2018 SN - 0148-7191 SN - 0096-5170 IS - 2018-01-0701 ER - TY - CHAP A1 - Wehbi, Kassem A1 - Wurm, Andreas A1 - Bestle, Dieter A1 - Beilharz, Jörg ED - Röpke, Karsten ED - Gühmann, Clemens T1 - Automated Calibration Using Simulation and Robust Design Optimization Improving Shift and Launch Quality of Automatic Transmissions T2 - Automotive data analytics, methods, DoE, proceedings of the International Calibration Conference Y1 - 2017 SN - 978-3-8169-3381-6 SP - 18 EP - 33 PB - Expert Verlag CY - Renningen ER - TY - RPRT A1 - Bestle, Dieter A1 - Lockan, Michael A1 - Hartwig, Lennard A1 - Martin, Ivo T1 - Q3D Optimierung vielstufiger Verdichter in der Vorauslegung und robuste multidisziplinäre Schaufelauslegung Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:co1-opus4-42225 SN - 978-3-940471-30-7 PB - Brandenburgische Technische Universität Cottbus-Senftenberg, IKMZ-Universitätsbibliothek CY - Cottbus ; Senftenberg ER - TY - GEN A1 - Brenner, Tobias A1 - Hofmann, Timo A1 - Rieger, Karl-Josef A1 - Bestle, Dieter T1 - Untersuchung des Geräuschverhaltens von Kraftfahrzeug-Schwingungsdämpfern und Elastomerlagern T2 - 16. Internationale VDI-Tagung Reifen-Fahrwerk-Fahrbahn 2017 Y1 - 2017 SN - 978-3-18-092296-6 SP - 187 EP - 198 PB - VDI Verlag CY - Düsseldorf ER - TY - CHAP A1 - Hendler, Marco A1 - Bestle, Dieter A1 - Flassig, Peter Michael T1 - Cloning Strategy for Aerodynamic Compressor Design based on Throughflow Analysis T2 - Proceedings of Montreal 2018, Global Power and Propulsion Forum, 7-9.05.2018 N2 - Due to their high complexity, aero engine development is a time-consuming and cost-intensive process. Therefore, pre-developed proven aerodynamic and geometric compressor information is often used as starting point and transferred to new compressor designs. In the present paper, a new approach for aerodynamic cloning of an already existing compressor flow to a new compressor geometry by use of a streamline curvature based Throughflow solver is presented. Parameterized compressor quantities are automatically modified with the help of optimization strategies, and the resulting compressor aerodynamics are compared to a reference design in each iteration step. The target is to minimize the discrepancy between reference design and new design regarding essential flow parameters like de Haller number, Mach number etc., and thereby to reproduce the aerodynamic image of the reference design. Thus, already collected experience from existing compressor flow fields can be used to reduce costs for developing as well as testing of new compressor configurations. Conducted investigations show a notable acceleration of the design process in comparison to former strategies starting from scratch while achieving an acceptable compliance of aerodynamic parameters. Y1 - 2018 UR - https://gpps.global/documents/events/montreal18/papers/design-modeling/GPPS-NA-2018-0144.pdf N1 - GPPS-NA-2018-0144 ER - TY - CHAP A1 - Extra, Simon A1 - Lockan, Michael A1 - Bestle, Dieter A1 - Flassig, Peter Michael T1 - A Comparison of Strategies for Efficient Core Engine Optimization with Coupled Subsystems T2 - Proceedings of Montreal 2018, Global Power and Propulsion Forum, 7-9.05.2018 N2 - The present paper compares four different optimization strategies for decoupled optimization in the context of preliminary core engine design for aero engines. An optimization with the AAO (All-At-Once) approach is performed as a baseline and compared against the performance and results of three cascaded optimization strategies: CO (Collaborative Optimization), BLISS 2000 (Bi-Level Integrated System Synthesis) and ISOC (Interface Segmentation Optimization Concept). The optimization problem is based on a thermodynamic core engine model representing an industrial application example. The results are assessed with respect to typical requirements for multidisciplinary core engine design. The impact of the used optimization strategy on the performance of the optimization concept is investigated and discussed. Y1 - 2018 UR - https://gpps.global/documents/events/montreal18/papers/design-modeling/GPPS-NA-2018-0097.pdf N1 - GPPS-NA-2018-0097 ER - TY - CHAP A1 - Urbano, Jose A1 - Golowin, Andrej A1 - Löhnert, Stefan A1 - Bestle, Dieter T1 - Mechanical Integrity of Steel Discs with Corrosion Pits T2 - 12th International Fatigue Congress (FATIGUE 2018), Poitiers Futuroscope, France, May 27-June 1st, 2018 N2 - Currently, prediction of crack initiation by corrosion pits is only possible by assuming regular geometrical shapes, such as semi-spheres or semi-ellipsoids. Moreover, typical fatigue life diagrams associate the crack initiation life with geometrical features, such as pit depth or aspect ratio, often leading to unsatisfactory correlations due to high pit shape variability and data scatter. In the context of blade-disc fixation in aero engine turbines, this limitation translates into highly conservative life estimations. Therefore, a new crack initiation predictor is formulated based on experimental testing and numerical analysis of 28 artificial corrosion pits. A low-cycle fatigue test campaign is conducted using three-point bending test specimens to simulate maximum takeoff operation conditions of the aero engine and the associated loading of the blade root designed as firtree. An artificial pit is located at the critical point of each test specimen, respectively. The prediction criterion is based on finite element analysis and is formulated as the lowest plastic strain of a plastic region with a certain volume in the corrosion pit. This reference volume is varied until an optimum correlation with experimental crack initiation life is obtained. The criterion shows a superior correlation with crack initiation life compared to pure geometrical parameters such as pit depth. Y1 - 2018 U6 - https://doi.org/10.1051/matecconf/201816504012 PB - EDP Sciences CY - Les Ulis ER - TY - CHAP A1 - Extra, Simon A1 - Lockan, Michael A1 - Bestle, Dieter A1 - Flassig, Peter Michael T1 - Coupled Subsystem Optimization for Preliminary Core Engine Design T2 - Evolutionary and deterministic methods for design optimization and control with applications to industrial and societal problems, Sep. 13-15, 2017 in Madrid, Spain, EUROGEN 2017, Book of abstracts Y1 - 2017 SN - 978-84-697-5112-1 PB - Technical University CY - Madrid ER - TY - CHAP A1 - Chao, Chen-Xiang A1 - Bestle, Dieter A1 - Krüger, D. A1 - Meissner, Bernd T1 - Increasing the tooth root capacity of symmetric and asymmetric gears by optimizing the tooth root fillet shape T2 - International Gear Conference 2018, Lyon, 27.-29.08.2018, vol. 1 N2 - The international standard ISO 6336-3 defines a calculation method for the tooth root capacity of standard gears with basic rack profile according to ISO 53. However, the results of this method may become too optimistic for non-standard gears with custom root fillets, large pressure angles or asymmetric teeth, since the effect of general mean stresses on the local tooth root strength are neglected. Therefore, a more generic calculation method is suggested, which considers the mean stress influence by utilizing the Haigh diagram. Both approaches are then used as basis of root fillet shape optimizations. A comparison of results demonstrates significant differences in the safety assessment and the resulting root geometry. Y1 - 2018 SN - 978-1-911033-42-4 SP - 531 EP - 541 PB - Chartridge Books Oxford CY - Oxford ER - TY - CHAP A1 - Brenner, Tobias A1 - Hofmann, Timo A1 - Hupfeld, J. A1 - Bestle, Dieter ED - Bargende, Michael ED - Reuss, Hans-Christian ED - Wiedemann, Jochen T1 - Process for Early Prediction of Noise Induced by Damper Struts T2 - 18. Internationales Stuttgarter Symposium : Automobil- und Motorentechnik Y1 - 2018 SN - 978-3-658-21193-6 U6 - https://doi.org/10.1007/978-3-658-21194-3_54 SP - 699 EP - 713 PB - Springer Fachmedien CY - Wiesbaden ER - TY - CHAP A1 - Hofmann, Timo A1 - Brenner, Tobias A1 - Hupfeld, J. A1 - Bestle, Dieter ED - Bargende, Michael ED - Reuss, Hans-Christian ED - Wiedemann, Jochen T1 - Generation of Optimal Shim Stacks for Valves in Automotive Dampers T2 - 18. Internationales Stuttgarter Symposium : Automobil- und Motorentechnik Y1 - 2018 SN - 978-3-658-21193-6 U6 - https://doi.org/10.1007/978-3-658-21194-3_56 SP - 729 EP - 743 PB - Springer Fachmedien CY - Wiesbaden ER - TY - GEN A1 - Hendler, Marco A1 - Bestle, Dieter A1 - Flassig, Peter Michael T1 - Component-specific Engine Design Taking into Account Holistic Design Aspects T2 - International Journal of Turbomachinery, Propulsion and Power Y1 - 2018 U6 - https://doi.org/10.3390/ijtpp3020012 SN - 2504-186X N1 - This article belongs to the Special Issue Selected Papers from the 17th International Symposium on Transport Phenomena and Dynamics of Rotating Machinery VL - 3 IS - 2 SP - 1 EP - 16 ER - TY - GEN A1 - Ivanov, Dmitrij A1 - Bestle, Dieter A1 - Janke, Christian T1 - A Response Surface Based Strategy for Accelerated Compressor Map Computation T2 - Evolutionary and deterministic methods for design optimization and control with applications to industrial and societal problems, Sep. 13-15, 2017 in Madrid, Spain, EUROGEN 2017, Book of abstracts Y1 - 2017 SN - 978-84-697-5112-1 PB - Technical University CY - Madrid ER - TY - CHAP A1 - Ivanov, Dmitrij A1 - Bestle, Dieter A1 - Janke, Christian ED - Andrès-Pèrez, Esther ED - González, Leo M. ED - Periaux, Jacques ED - Gauger, Nicolas R. ED - Quagliarella, Domenico ED - Giannakoglou, Kyriakos C. T1 - A Response Surface Based Strategy for Accelerated Compressor Map Computation T2 - Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems Y1 - 2018 SN - 978-3-319-89889-6 SN - 978-3-319-89890-2 U6 - https://doi.org/10.1007/978-3-319-89890-2_14 SP - 211 EP - 226 PB - Springer International Publishing CY - Cham ER - TY - CHAP A1 - Extra, Simon A1 - Lockan, Michael A1 - Bestle, Dieter A1 - Flassig, Peter Michael ED - Andrès-Pèrez, Esther ED - González, Leo M. ED - Periaux, Jacques ED - Gauger, Nicolas R. ED - Quagliarella, Domenico ED - Giannakoglou, Kyriakos C. T1 - Coupled Subsystem Optimiziation for Preliminary Core Engine Design T2 - Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems Y1 - 2018 SN - 978-3-319-89889-6 SN - 978-3-319-89890-2 U6 - https://doi.org/10.1007/978-3-319-89890-2_33 SP - 513 EP - 527 PB - Springer International Publishing CY - Cham ER - TY - CHAP A1 - Bestle, Dieter A1 - Wehbi, Kassem T1 - Optimal Launch of Vehicles with Automated Transmission T2 - 4th Joint International Conference on Multibody System Dynamics, Montreal 2016 Y1 - 2016 SN - 978-0-9682827-9-3 PB - McGill University CY - Montreal ER - TY - CHAP A1 - Sun, Lu A1 - Xue, Rui A1 - Bestle, Dieter A1 - Wang, Guoping A1 - Zhang, Jianshu A1 - Rui, Xiaoting T1 - Vibration Analysis of Linear Beam with Moving Loads Based on Riccati Transfer Matrix Method for Multibody Systems T2 - 14th International Conference on Multibody Systems, Nonlinear Dynamics, and Control - Quebec City, Quebec, Canada, August 26–29, 2018 Y1 - 2018 SN - 978-0-7918-5183-8 PB - ASME CY - New York ER - TY - CHAP A1 - Xue, Rui A1 - Sun, Lu A1 - Bestle, Dieter A1 - Wang, Guoping A1 - Chen, Dongyang A1 - Rui, Xiaoting T1 - Vortex-induced Vibration Analysis of a composite Riser System Based on the Transfer Matrix Method T2 - 14th International Conference on Multibody Systems, Nonlinear Dynamics, and Control - Quebec City, Quebec, Canada, August 26–29, 2018 Y1 - 2018 SN - 978-0-7918-5183-8 PB - ASME CY - New York ER - TY - CHAP A1 - Ivanov, Dmitrij A1 - Bestle, Dieter A1 - Janke, Christian T1 - Fast Compressor Map Computation by Utilizing Support Vector Machine and Response Surface Approximation T2 - IEEE World Congress on Computational Intelligence, Rio de Janeiro, 8.-13.07.18 Y1 - 2018 UR - https://ieeexplore.ieee.org/document/8489554 SN - 978-1-5090-6014-6 PB - IEEE CY - Piscataway, NJ ER - TY - GEN A1 - Ivanov, Dmitrij A1 - Bestle, Dieter A1 - Janke, Christian T1 - Unstrukturierte Berechnung von Verdichterkennfeldern mithilfe von SVM und Antwortflächen T2 - Luft- und Raumfahrt - Digitalisierung und Vernetzung, Deutscher Luft- und Raumfahrtkongress 2018, 04.-06. September 2018, Friedrichshafen, Graf-Zeppelin-Haus Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2020011711430160129914 UR - https://www.dglr.de/publikationen/2020/480078.pdf N1 - DLRK2018-480078 PB - Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V. CY - Bonn ER - TY - GEN A1 - Extra, Simon A1 - Hendler, Marco A1 - Bestle, Dieter A1 - Flassig, Peter Michael T1 - Verbesserte Vorauslegung des Kerntriebwerks mithilfe eines kaskadierten Optimierungsprozesses T2 - Luft- und Raumfahrt - Digitalisierung und Vernetzung, Deutscher Luft- und Raumfahrtkongress 2018, 04.-06. September 2018, Friedrichshafen, Graf-Zeppelin-Haus Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:101:1-2020011711475557798029 UR - https://www.dglr.de/publikationen/2020/480163.pdf N1 - DLRK2018-480163 PB - Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V. CY - Bonn ER - TY - CHAP A1 - Kuslits, Márton A1 - Bestle, Dieter T1 - Symbolic Linearized Equations for Nonholonomic Multibody Systems with Closed-loop Kinematics T2 - 14th International Conference on Multibody Systems, Nonlinear Dynamics, and Control - Quebec City, Quebec, Canada, August 26–29, 2018 Y1 - 2018 SN - 978-0-7918-5183-8 PB - ASME CY - New York ER - TY - GEN A1 - Urbano, Josè A1 - Bestle, Dieter A1 - Gerstberger, Ulf A1 - Flassig, Peter Michael T1 - Low-Order Representation of Manufacturing Variations Based on B-Spline Morphing T2 - ASME 2019 International Mechanical Engineering Congress and Exposition, November 11–14, 2019 Salt Lake City, Utah, USA Y1 - 2020 UR - https://asmedigitalcollection.asme.org/IMECE/proceedings-abstract/IMECE2019/59384/V02BT02A053/1072900 SN - 978-0-7918-5938-4 U6 - https://doi.org/10.1115/IMECE2019-10294 PB - American Society of Mechanical Engineers ER - TY - GEN A1 - Chao, Chen-Xiang A1 - Bestle, Dieter A1 - Krüger, David T1 - Tooth Root Shape Optimization of Thin-Rimmed Planet Gears T2 - Proceedings of ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Volume 10: 2019 International Power Transmission and Gearing Conference N2 - Planetary gearboxes in highly sophisticated applications such as turbofan engines are required to have a high power-to-weight ratio and excellent reliability. Hence, thin-rimmed gear units need to be designed as compact as possible which, however, is usually limited by the tooth root load capacity. In order to come up with the best design, a tooth root shape optimization process is developed for thin-rimmed planet gears. Y1 - 2019 SN - 978-0-7918-5930-8 U6 - https://doi.org/10.1115/DETC2019-97345 ER - TY - GEN A1 - Bergold, Markus A1 - Brandes, S. A1 - Seufert, B. A1 - Bestle, Dieter T1 - Simulation von Kundenmanövern zur Ermittlung repräsentativer Fahrwerksbelastungen T2 - Lastannahmen und Anforderungsmanagement in der Betriebsfestigkeit : neue Trends : 46. Tagung des Arbeitskreises Betriebsfestigkeit, 09. und 10. Oktober 2019 in Wolfsburg Y1 - 2019 UR - https://dvm-berlin.de/sites/default/files/files/downloads/dvmakbf2019prgneu20190626.pdf SP - 99 EP - 114 PB - DVM, Deutscher Verband für Materialforschung und -prüfung e.V. CY - Berlin ER - TY - GEN A1 - Chao, Chen-Xiang A1 - Bestle, Dieter A1 - Krüger, David T1 - Isight Process for Optimizing Tooth Roots in a High-Performance Gearbox T2 - 3DExperience Conference Germany 2019At: Darmstadt, Germany Y1 - 2019 UR - https://events.3ds.com/sites/default/Files/3dexperience-conference-chao-tu-cottbus-senftenberg.pdf UR - https://www.researchgate.net/publication/341152054_Isight_Process_for_Optimizing_Tooth_Roots_in_a_High-Performance_Gearbox CY - Darmstadt ER - TY - GEN A1 - Martin, Ivo A1 - Hartwig, Lennard A1 - Bestle, Dieter T1 - A multi-objective optimization framework for robust axial compressor airfoil design T2 - Structural and Multidisciplinary Optimization Y1 - 2019 U6 - https://doi.org/10.1007/s00158-018-2164-3 SN - 1615-1488 SN - 1615-147X VL - 59 IS - 6 SP - 1935 EP - 1947 ER - TY - GEN A1 - Kuslits, Márton A1 - Bestle, Dieter T1 - Modeling and Control of a New Differential Steering Concep T2 - Vehicle System Dynamics Y1 - 2019 U6 - https://doi.org/10.1080/00423114.2018.1473616 SN - 1744-5159 SN - 0042-3114 VL - 57 IS - 4 SP - 520 EP - 542 ER - TY - GEN A1 - Chao, Chen-Xiang A1 - Bestle, Dieter A1 - Krüger, David A1 - Meissner, Bernd T1 - Zahnfußtragfähigkeitsoptimierung von Stirnrädern für den Einsatz in Hochleistungsgetrieben mithilfe von Isight T2 - Tagungsband Simulia Anwenderkonferenz, DASSAULT SYSTÈMES User Conference, Hanau, 4.-6. Dezember 2018 Y1 - 2018 UR - https://www.3ds.com/events/dassault-systemes-user-conferences/dassault-systemes-user-conference-germany-2018/download-archive/ UR - https://www.3ds.com/fileadmin/EVENTS/3DS-Events-img/3DS_USER_CONFERENCE_GER_2019/DownloadArchive/2018-DSUC-Chao-UNI-Senftenberg.pdf CY - Hanau ER - TY - GEN A1 - Kuslits, Márton A1 - Bestle, Dieter T1 - Control Design and Performance Evaluation of a New Steering Concept Based on a Custom Multibody Vehicle Model T2 - 5th Internationa Conference on Dynamic Simulation in Vehicle Engineering Y1 - 2018 UR - file:///C:/Users/merker/AppData/Local/Temp/3_Kuslits.pdf SP - 19 EP - 34 CY - Steyr ER - TY - GEN A1 - Xue, Rui A1 - Bestle, Dieter A1 - Wang, Guoping A1 - Zhang, Jiangshu A1 - Rui, Xiaoting A1 - He, Bin T1 - A New Version of the Riccati Transfer matrix Method for Multibody systems Consisting of Chain and Branch Bodies T2 - Multibody System Dynamics Y1 - 2020 U6 - https://doi.org/10.1007/s11044-019-09711-2 SN - 1573-272X SN - 1384-5640 VL - 49 IS - 3 SP - 337 EP - 354 ER - TY - GEN A1 - Kuslits, Márton A1 - Bestle, Dieter T1 - Multiobjective Performance Optimisation of a New Differential Steering Concept T2 - Vehicle System Daynamics Y1 - 2020 U6 - https://doi.org/10.1080/00423114.2020.1804598 SN - 0042-3114 SN - 1744-5159 ER - TY - RPRT A1 - Bestle, Dieter T1 - Verbesserter Systementwurf durch KI-Methoden T2 - 3. VDI-Fachtagung Schwingungen 2021 : Würzburg, 16. und 17. November 2021 Y1 - 2021 SN - 978-3-18-092391-8 SP - 14 PB - VDI-Verlag CY - Würzburg ER - TY - GEN A1 - Bestle, Dieter T1 - Eigenvalue Sensitivity Analysis based on the Transfer Matrix Method T2 - International journal of mechanical system dynamics : IJMSD Y1 - 2021 U6 - https://doi.org/10.1002/msd2.12016 SN - 2767-1402 VL - 1 IS - 1 SP - 96 EP - 107 ER - TY - GEN A1 - Rui, Xue A1 - Bestle, Dieter T1 - Reduced Multibody System Transfer Matrix Method Using Decoupled Hinge Equations T2 - International journal of mechanical system dynamics : IJMSD Y1 - 2021 U6 - https://doi.org/10.1002/msd2.12026 SN - 2767-1402 VL - 1 IS - 2 SP - 182 EP - 193 ER - TY - GEN A1 - Zhou, Qinbo A1 - Fehr, Jörg A1 - Bestle, Dieter A1 - Rui, Xiaoting T1 - Simulation of Elastic Body Dynamics with Large Motion Using Transfer Matrix Method T2 - Multibody System Dynamics Y1 - 2022 U6 - https://doi.org/10.1007/s11044-022-09869-2 SN - 1573-272X SN - 1384-5640 VL - 59 (2023) IS - 3 SP - 269 EP - 292 ER - TY - GEN A1 - de Payrebrune, Kristin A1 - Flaßkamp, Kathrin A1 - Ströhla, Tom A1 - Sattel, Thomas A1 - Bestle, Dieter A1 - al, et T1 - The impact of Al on engineering design procedures for dynamical systems T2 - Electrical Engineering and Systems Science. Systems and Control Y1 - 2024 U6 - https://doi.org/10.48550/arXiv.2412.12230 PB - Cornell University ER - TY - GEN A1 - Zhai, Tianyu A1 - Bestle, Dieter T1 - Design of two coupled fuzzy controllers for a planar direct internat reforming solid oxide fuel cell T2 - Proceedings in Applied Mathematics and Mechanics Y1 - 2024 U6 - https://doi.org/10.1002/pamm.202400077 VL - 24 IS - 4 PB - Wiley-VCH GmbH ER - TY - CHAP A1 - Bestle, Dieter ED - Nachbagauer, Karin ED - Held, Alexander T1 - Optimization processes for automated design of industrial systems T2 - Optimal design and control of multibody systems : proceedings of the IUTAM symposium Y1 - 2024 SN - 978-3-031-49999-9 U6 - https://doi.org/10.1007/978-3-031-50000-8_1 SN - 1875-3507 SP - 3 EP - 15 PB - Springer CY - Hamburg ER - TY - GEN A1 - Kayatas, Zafer A1 - Bestle, Dieter T1 - Scenario identification and classification to support the assessment of advanced driver assistance systems T2 - Applied Mechanics N2 - In recent years, driver assistance systems in cars, buses, and trucks have become more common and powerful. In particular, the introduction of AI methods to sensors, signal fusion, and traffic recognition allows us to step forward from actual level-2 assistance to level-3 A dvanced D river A ssistance S ystems (ADAS), where driving becomes autonomous and responsibility shifts from the driver to the automobile manufacturers. This, however, requires a high-precision risk assessment of failure, which can only be achieved by extensive data acquisition and statistical analysis of real traffic scenarios (which is impossible to perform by humans). Therefore, critical driving situations have to be identified and classified automatically. This paper develops and compares two different strategies—a traditional rule-based approach derived from deterministic causal considerations, and an AI-based approach trained with idealized cut-in, cut-out, and cut-through maneuvers. Application to a 10-h measurement sequence on a German highway demonstrates that the latter has the higher performance, whereas the former misses some of the safety-relevant events to be identified. KW - advanced driver assistance system KW - real traffic situation KW - decision tree KW - machine learning KW - scenario identification KW - scenario classification Y1 - 2024 U6 - https://doi.org/10.3390/applmech5030032 SN - 2673-3161 VL - 5 IS - 3 SP - 563 EP - 578 PB - MDPI ER - TY - GEN A1 - Bielitz, Timo A1 - Bestle, Dieter T1 - Artificial recurrent model for parameter identification of dynamic systems T2 - Proceedings in Applied Mathematics & Mechanics Y1 - 2024 U6 - https://doi.org/10.1002/pamm.202400015 SN - 1617-7061 PB - Wiley-VCH GmbH ER - TY - GEN A1 - Bestle, Dieter A1 - Bielitz, Timo T1 - Real‐time models for systems with costly or unknown dynamics T2 - Special Issue: 94th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) N2 - Many applications require real‐time simulation where the computer model can be executed at least as fast as the underlying physical system. However, as the complexity of models grows, for example, in case of flexible multibody dynamics accounting for body elasticity, this becomes harder even with high‐end computers and parallel computing. Further the modeling itself could be too cumbersome to come up with causal models, especially in industrial applications, or modeling is inhibited by unknown physical effects. In such cases, data‐based modeling with AI‐strategies may be an alternative to come up with real‐time capable simulation models. Based on measured or costly simulated trajectories, state function values of the dynamic system are first identified from divided differences of subsequent states, and then used for training a feedforward neural network. This can then be used as an approximate surrogate for further simulations or as part of a real‐time application. Applications to the Duffing equation and a closed‐loop mechanism demonstrate high conformity of predicted and directly simulated trajectories reproducing even the bifurcation behavior of the Duffing equation. Y1 - 2024 U6 - https://doi.org/10.1002/pamm.202400008 SN - 1617-7061 VL - 24 IS - 2 ER - TY - GEN A1 - Bielitz, Timo A1 - Bestle, Dieter T1 - Identification of dynamic systems assisted by an autoregressive recurrent model T2 - Proceedings in Applied Mathematics & Mechanics : PAMM N2 - The identification of parameters in dynamic systems usually first requires modeling the system as nonlinear differential equations based on physical principles, which then can be evaluated to search for a set of optimal parameters that enable the mathematical model to reproduce some desired behavior of the real system. To overcome the necessity of complex modeling and to possibly reduce the number of extensive experimental evaluations of the real system or numerical evaluations of the differential equations, strategies from machine learning may be applied. The proposed method uses recurrent architectures such as Long Short-Term Memory (LSTM) networks as core to predict the system development from initial conditions and parameter values. The trainable weights of the model are optimized based on a set of training data containing parameter values and corresponding solution trajectories generated by evaluation of the system to be investigated. The trained model may then be used to identify unknown system parameter values related to a specific solution trajectory by solving an optimization problem for the inputs of the machine learning model. Y1 - 2023 U6 - https://doi.org/10.1002/pamm.202300086 SN - 1617-7061 VL - 23 IS - 2 ER - TY - GEN A1 - Niehoff, Malte A1 - Bestle, Dieter A1 - Kupijai, Philipp T1 - Model-based design optimization taking into account design viability via classification T2 - Engineering Modelling, Analysis and Simulation : the NAFEMS Journal Y1 - 2024 U6 - https://doi.org/10.59972/c7b5hzx7 SN - 3005-9763 VL - 1 IS - 1 SP - 1 EP - 12 PB - NAFEMS Ltd. CY - Knutsford ER -