Colors
black: published
green: accepted for publication
orange: submitted for publication
2024
Borse, A.; Gulakala, R.; Stoffel, M.: Development of a machine learning-based design optimization method for crashworthiness analysis. Archives of Mechanics, 2024. DOI: 10.24423/aom.4454
Yadav M.; Sinha S.; Stender M.: Evolution beats random chance: Performance-dependent network evolution for enhanced computational capacity, Phys. Rev. E., Vol. 111, Iss. 1, 2025, DOI: 10.1103/PhysRevE.111.014320
Schultz, J.; van Delden, J.; Blech, C.; Langer, S. C.; Lüddecke, T.: Deep Learning based Surrogate Modeling for Frequency Response Prediction of Structural Dynamic Models. Proceedings of the Annual Conference on Acoustics, 2024.
Schindler, L. and de Payrebrune, K.: Image-based backbone reconstruction for non-slender soft robots. Proceedings in Applied Mathematics, e202400130, 2024. DOI: 10.1002/pamm.202400130
Hoffmann M.K., Mühlenhoff J., Ding Z., Sattel T., Flaßkamp K.: An iterative closest point algorithm for marker-free 3D shape registration of continuum robots, 2024. DOI: 10.48550/arXiv.2405.15336
Wohlleben, M.; Röder, B.; Ebel, H.; Muth, L.; Sextro, W.; Eberhard, P.: Hybrid modeling of multibody systems: Comparison of two discrepancy models for trajectory prediction. Proceedings in Applied Mathematics and Mechanics, e202400027, 2024. DOI: 10.1002/pamm.202400027
Röder, B.; Hajipour, S.; Ebel, H.; Eberhard,P.; Bestle, D.: Design of a Four-bar Mechanism from Hand Drawings of Desired Coupler Trajectories and Velocity Profiles. J. Mechanics Based Design of Structures and Machines - Special Issue on Data-Driven Methods for Multibody System Dynamics, 2024
Niehoff, M.; Bestle, D.; Kupijai, P.: Model-based Design Optimization Taking into Account Design Viability via Classification. Proc. of NAFEMS World Congress, Tampa, Florida, 2023 sowie Engineering Modelling, Analysis and Simulation 1(1) (2024) 1-12. DOI: 10.59972/c7b5hzx7
Kayatas, Z.; Bestle, D.; Bestle, P.; Reick, R.: Generation of Realistic Cut-in Maneuvers to Support Safety Assessment of Advanced Driver Assistance Systems. Applied Mechanics 4 (2023) 1066-1077, DOI: 10.3390/applmech4040054
Franco Grandas, J.C.; Bestle, D.; Niehoff, M.: Modeling and Optimization of a Controlled Lambda Robot via Surrogate Models. Proc. of NAFEMS Multibody Dynamics Conference, München, 2023, pp. 63-66, ISBN 978-1-83979-063-8.
Bestle, D.: Optimization Processes for Automated Design of Industrial Systems. In: K. Nachbagauer and A. Held (Eds.): Optimal Design and Control of Multibody Systems, Proc. of IUTAM Symposium 2022 on Optimal Design and Control of Multibody Systems - Adjoint Methods, Alternatives, and Beyond, Hamburg, Springer, 2024.
Bestle, D.; Bielitz, T.: Real-Time Models for Systems with Costly or Unknown Dynamics. Proc. of Applied Mathematics and Mechanics, e202400008, 2024. DOI: 10.1002/pamm.202400008
Kayatas, Z.; Bestle, D.: Scenario Identification and Classification for Supporting Assessment of Advanced Driver Assistance Systems. Applied Mechanics 5 (2024) 563-578. DOI: 10.3390/applmech5030032
Bielitz, T.; Bestle, D.: Artificial Recurrent Model for Parameter Identification of Dynamic Systems. Proc. of Applied Mathematics and Mechanics, e202400015, 2024. DOI: 10.1002/pamm.202400015
Rentschler, T.; Berkemeier, M. B.; Fraas, S.; Tismer, A.; Raj, R.; Peitz, S.; Riedelbauch, S.: Multi-criteria hydraulic turbine optimization using a genetic algorithm and trust-region postprocessing. Proceedings in Applied Mathematics and Mechanics, e202400126, 2024. DOI: 10.1002/pamm.202400126
Raj, R.; Tismer, A.; Gaisser, L.; Riedelbauch, S.: A deep learning approach to calculate elementary effects of morris sensitivity analysis. Proceedings in Applied Mathematics and Mechanics, e202400104, 2024. DOI: 10.1002/pamm.202400104
Yadav M.; Chauhan S.; Shrimali M.; Stender S.: Predicting multi-parametric dynamics of an externally forced oscillator using reservoir computing and minimal data, Nonlinear Dynamics, 2024. DOI: 10.1007/s11071-024-10720-w7
Borse, A.; Gulakala, R.; Stoffel, M.: Multi‐parameter design optimization of crash box for crashworthiness analysis. Proceedings in Applied Mathematics and Mechanics, 2024. DOI: 10.1002/pamm.202400096
Raff, M.; Flaßkamp, K.; Remy, C. D.: The Indirect Method for Generating Libraries of Optimal Periodic Trajectories and Its Application to Economical Bipedal Walking, under review at International Journal of Robotics Research (IJRR), 2024. DOI: 10.48550/arXiv.2410.09512
Raff, M.; Remy, C. D.: Continuation of Periodic Orbits in Conservative Hybrid Dynamical Systems and its Application to Mechanical Systems with Impulsive Dynamics, accepted for Nonlinear Dynamics, 2024. DOI: 10.48550/arXiv.2402.06502
Borse, A.; Gulakala, R.; Stoffel, M.: Developement of Reinforcement Learning based Optimisation Method for Side-Sill Design, 2024. DOI: 10.48550/arXiv.2411.09499
van Delden, J.; Schultz, J.; Blech, C.; Langer, S. C.; Lüddecke, T.: Learning to Predict Structural Vibrations. The Thirty-eighth Annual Conference on Neural Information Processing Systems. 2024. URL: https://openreview.net/forum?id=i4jZ6fCDdy
van Delden, J.; Schultz, J.; Blech, C.; Langer, S. C.; Lüddecke, T.: Minimizing Structural Vibrations via Guided Diffusion Design Optimization. ICLR 2024 Workshop on AI4DifferentialEquations In Science. 2024. URL: https://openreview.net/forum?id=z4dcQodnoo
Abou-Taleb, M.; Raff, M.; Flaßkamp, K.; Remy, C. D.: Koopman Based Trajectory Optimization with Mixed Boundaries, under review at 7th Annual Learning for Dynamics & Control Conference Research (L4DC 2025), 2024. DOI: 10.48550/arXiv.2412.03195
Ebel, H.; van Delden, J.; Lüddecke, T.; Borse, A.; Gulakala, R.; Stoffel, M.; Yadav, M.; Stender, M.; Schindler, L.; de Payrebrune, K. M.; Raff, M.; Remy, C. D.; Röder, B.; Raj, R.; Rentschler, T.; Tismer, A.; Riedelbauch, S.; Eberhard, P.: Data Publishing in Mechanics and Dynamics: Challenges, Guidelines, and Examples from Engineering Design. Submitted to Data-Centric Engineering, 2024. DOI: 10.48550/arXiv.2410.18358
Eyselein, S.; Tismer, A.; Raj, R.; Rentschler, T.; Riedelbauch, S.: AI-Based Clustering of Numerical Flow Fields for Accelerating the Optimization of an Axial Turbine, 2024. Preprint, DOI: https://doi.org/10.20944/preprints202412.1380.v1
2023
Röder, B.; Ebel, H.; Eberhard, P.: Towards intelligent design assistants for planar multibody mechanisms. Proceedings in Applied Mathematics and Mechanics, 00, e202300060, 2023. DOI: 10.1002/pamm.202300060
Wohlleben, M.; Muth, L.; Peitz, S.; Sextro, W.: Transferability of a discrepancy model for the dynamics of electromagnetic oscillating circuits. Proceedings in Applied Mathematics and Mechanics, 00, e202300039, 2023. DOI: 10.1002/pamm.202300039
Gulakala, R.; Markert, B.; Stoffel, M.: Graph Neural Network enhanced Finite Element modelling. Proceedings in Applied Mathematics and Mechanics, 22, e202200306, 2023. DOI: 10.1002/pamm.202200306
Borse, A.; Gulakala, R.; Stoffel, M.: Machine learning enhanced optimisation of crash box design for crashworthiness analysis. Proceedings in Applied Mathematics and Mechanics, 23, e202300145, 2023. DOI: 10.1002/pamm.202300145
Gulakala, R.; Markert, B.; Stoffel, M.: Generative learning-based model for the prediction of 2D stress distribution. Proceedings in Applied Mathematics and Mechanics, 23, e202300201, 2023. DOI: 10.1002/pamm.202300201
Hoffmann, M. K.; Gulakala, R.; Mühlenhoff, J.; Ding, Z.; Sattel, T.; Stoffel, M.; Flaßkamp, K.: Data augmentation for design of concentric tube continuum robots by generative adversarial networks. Proceedings in Applied Mathematics and Mechanics, 23, e202300278, 2023. DOI: 10.1002/pamm.202300278
Gulakala, R.; Markert, B.; Stoffel, M.: Physics informed Spiking Generative Adversarial Networks in Structural Mechanics, 2nd IACM conference on Mechanistic Machine Learning and Digital Engineering for Computational Science Engineering and Technology (MMLDE|CEST), El Paso, TX, USA, 2023. DOI: 10.26226/m.64c26777632e9539aa87d755
Lamping, F.; Schindler, L. and de Payrebrune, K.: Improved modeling and design of soft robots using sensitivity analysis. Technische Mechanik - European Journal of Engineering Mechanics, 2023. DOI: 10.24352/UB.OVGU-2023-063
Seis, R. and de Payrebrune, K.: A practicable approach for stability analysis in soft robotics: A workspace analysis for a real soft robot. Proceedings in Applied Mathematics and Mechanics, 23, e202300179, 2023. DOI: 10.1002/pamm.202300179
Raff, M; Remy, C. D.: Hard vs. Soft Contacts in Trajectory Optimization of Legged Robots: An Example with a Compliant Rubber Foot. ICRA 2023 Workshop on Embracing Contacts. 2023. URL: https://openreview.net/forum?id=k3O1RL0v_x
2022
Raff, M.; Rosa, N.; Remy, C. D.: Generating Families of Optimally Actuated Gaits from a Legged System's Energetically Conservative Dynamics. International Conference on Intelligent Robots and Systems (IROS), p. 8866-8872, Kyoto, Japan, 2022. DOI: 10.1109/IROS47612.2022.9981693