Publications

Below you can find a complete list of the publications that are written by employees at the Publications at Department of Mechanical and Production Engineering for example journal articles, books, reports etc.

Publication list

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Schmiegel, J. & Pons, F. (2021). Stochastic Intermittency Fields in a von Karman Experiment. Symmetry, 13(9), Article 1752. https://doi.org/10.3390/sym13091752

Bell, S., Boese, N., Bosma, R., Buzoianu, M., Carroll, P., Fernicola, V., Georgin, E., Heinonen, M., Kentved, A., Melvad, C. & Nielsen, J. (2015). Status and Strategy for Moisture Metrology in European Metrology Institutes. International Journal of Thermophysics, 36(8), 2185-2198. https://doi.org/10.1007/s10765-015-1859-6

Tabassian, R. & Rezaeepazhand, J. (2011). Stability analysis of smart sandwich beam with cross-ply faces and ER core subjected to axial loads. Journal of Reinforced Plastics and Composites , 31(1), 55-64. https://doi.org/10.1177/0731684411431122

Victoria, M., Zeyen, E. & Brown, T. (2022). Speed of technological transformations required in Europe to achieve different climate goals. Joule, 6(5), 1066-1086. https://doi.org/10.1016/j.joule.2022.04.016

Victoria, M., Haegel, N., Peters, I. M., Sinton, R., Jäger-Waldau, A., del Canizo, C., Breyer, C., Stocks, M., Blakers, A., Kaizuka, I., Komoto, K. & Smets, A. (2021). Solar photovoltaics is ready to power a sustainable future. Joule, 5(5), 1041-1056. https://doi.org/10.1016/j.joule.2021.03.005

Karupppasamy, S., Singh, S., Ćuković, S., Sandhu, K., Meixner, G. & Petruse, R. E. (Eds.) (2024). Smart VR/AR/MR Systems for Professionals. CRC Press.

Barbalić , J., Rajčić, V., Bedon, C. & Budzik, M. K. (2021). Short-Term Analysis of Adhesive Types and Bonding Mistakes on Bonded-in-Rod (BiR) Connections for Timber Structures. Applied Sciences, 11(6), Article 2665. https://doi.org/10.3390/app11062665

Sugiyama, Y., Langthjem, M. A. & Katayama, K. (2021). Shape‐optimized Cantilevered Columns under a Rocket‐based Follower Force. In N. Challamel, J. Kaplunov & I. Takewaki (Eds.), Modern Trends in Structural and Solid Mechanics 1: Statics and Stability (pp. 201-228). Wiley.

Sugiyama, Y., Langthjem, M. A., Iwama, T., Kobayashi, M., Katayama, K. & Yutani, H. (2012). Shape optimization of cantilevered columns subjected to a rocket-based follower force and its experimental verification. Structural and Multidisciplinary Optimization, 46, 829-838.

Paraskevoulakos, C., Ghosh, S., Andriollo, T. & Michel, A. (2024). Sensitivity Study Using Synthetic 3D Image Datasets to Investigate the Effect of Noise Artefacts on Digital Volume Correlation. Experimental Mechanics, 64(5), 595-624. https://doi.org/10.1007/s11340-024-01046-0

Migliorini, M., Zachos, P. K., Macmanus, D. G., Doll, U., Dues, M., Steinbock, J., Dues, F., Siswanto, A., Melnikov, S. M. & Röhle, I. (2024). Seeding-free inlet flow distortion measurements using filtered Rayleigh scattering: integration in a complex intake test facility. Paper presented at AIAA SciTech Forum and Exposition, 2024, Orlando, United States. https://doi.org/10.2514/6.2024-2831

Zehtabiyan-Rezaie, N., Amarloo, A. & Abkar, M. (2024). Secondary flows in the actuator-disk simulation of wind-turbine wakes. Physics of Fluids, 36(4), Article 045142 . https://doi.org/10.1063/5.0203068

Amarloo, A., Forooghi, P. & Abkar, M. (2022). Secondary flows in statistically unstable turbulent boundary layers with spanwise heterogeneous roughness. Theoretical and Applied Mechanics Letters, 12(2), Article 100317. https://doi.org/10.1016/j.taml.2021.100317

Rincón, M. J. (2024). Robust Optimisation of Ultrasonic Flow Meters by Computational Fluid Dynamics and Enhanced Turbulence Modelling. Aarhus University.

Gautam, K. R., Bruun Andresen, G. & Victoria, M. (2022). Review and Techno-Economic Analysis of Emerging Thermo-Mechanical Energy Storage Technologies. Energies, 15(17), Article 6328. https://doi.org/10.3390/en15176328

Rajabi-Abhari, A., Yoo, H., Kim, J.-S., Yoon, H. Y., Park, J. Y., Yan, N., Tabassian, R. & Oh, I.-K. (2024). Reversibly Compressible Silanated Cellulose Nanofibril Aerogel for Triboelectric Taekwondo Scoring Sensors. Small, 20(50), Article 2405664. https://doi.org/10.1002/smll.202405664

Abkar, M., Zehtabiyan-Rezaie, N. & Iosifidis, A. (2023). Reinforcement learning for wind-farm flow control: Current state and future actions. Theoretical and Applied Mechanics Letters, 13(6), Article 100475. https://doi.org/10.1016/j.taml.2023.100475

Efeoǧlu, A. & Moller, C. (2023). Redesigning design thinking for codesign with nondesigners: a method efficiency perspective. Design Science, 9, Article e14. https://doi.org/10.1017/dsj.2023.11

Asghari, M., Ivetich, S. D., Aslan, M. K., Aramesh, M., Melkonyan, O., Meng, Y., Xu, R., Colombo, M., Weiss, T., Balabanov, S., Stavrakis, S. & deMello, A. J. (2024). Real-time viscoelastic deformability cytometry: High-throughput mechanical phenotyping of liquid and solid biopsies. Science Advances, 10(49), Article eabj1133. https://doi.org/10.1126/sciadv.abj1133

Majidi, S. S., Su, Y., Jørgensen, M. L., Müller, C., Forooghi, P., Nie, G. & Chen, M. (2021). Rayleigh Instability-Driven Coaxial Spinning of Knotted Cell-Laden Alginate Fibers as Artificial Lymph Vessels. ACS applied materials & interfaces, 13(19), 22142-22149. https://doi.org/10.1021/acsami.1c00798

Baungaard, M., van der Laan, M. P., Wallin, S. & Abkar, M. (2023). RANS simulation of a wind turbine wake in the neutral atmospheric pressure-driven boundary layer. Journal of Physics: Conference Series (Online), 2505, Article 012028. https://doi.org/10.1088/1742-6596/2505/1/012028

Zhang, Z., Chai, X., Si, G. & Zhang, X. (2024). Quantifying Variability in Zebrafish Larvae Locomotor Behavior across Experimental Conditions: A Learning-Based Tracker. Fishes, 9(6), Article 193. https://doi.org/10.3390/fishes9060193

Hornshøj-Møller, S., Nielsen, P., Forooghi, P. & Abkar, M. (2021). Quantifying structural uncertainties in Reynolds-averaged Navier–Stokes simulations of wind turbine wakes. Renewable Energy, 164, 1550-1558. https://doi.org/10.1016/j.renene.2020.10.148

Bernal, D. & Ulriksen, M. D. (2024). Quadratic basis pursuit in model updating of underconstrained problems. Journal of Physics: Conference Series (Online), 2647(25), Article 252001. https://doi.org/10.1088/1742-6596/2647/25/252001

Jensen, H. M. (2024). Propagating instabilities in solids. In ICTAM2024: Abstract Book (pp. 48-51). International Congress of Theoretical and Applied Mechanics.

Langthjem, M. A. & Jensen, H. M. (2022). Propagating buckles in undersea pipelines – A model problem. International Journal of Solids and Structures, 257, Article 111555. https://doi.org/10.1016/j.ijsolstr.2022.111555

Amarloo, A., Rincón, M. J., Reclari, M. & Abkar, M. (2023). Progressive augmentation of turbulence models for flow separation by multi-case computational fluid dynamics driven surrogate optimization. Physics of Fluids, 35(12), Article 125154 . https://doi.org/10.1063/5.0174470

Rincón, M. J., Amarloo, A., Reclari, M., I.A. Yang, X. & Abkar, M. (2023). Progressive augmentation of Reynolds stress tensor models for secondary flow prediction by computational fluid dynamics driven surrogate optimisation. International Journal of Heat and Fluid Flow, 104, Article 109242. https://doi.org/10.1016/j.ijheatfluidflow.2023.109242

Schwenk-Nebbe, L. J., Vind, J. E., Backhaus, A. J., Victoria, M. & Greiner, M. (2022). Principal spatiotemporal mismatch and electricity price patterns in a highly decarbonized networked European power system. iScience, 25(6), Article 104380. https://doi.org/10.1016/j.isci.2022.104380

Kirikova, M., Forbrig, P. & Møller, C. (2024). Preface: 9thWorkshop on Managed Complexity (ManComp). In Joint Proceedings of the BIR 2024 Workshops and Doctoral Consortium co-located with 23rd International Conference on Perspectives in Business Informatics Research (BIR 2024) (Vol. 3804). CEUR-WS.org.

Yang, J., Stroh, A., Lee, S., Bagheri, S., Frohnapfel, B. & Forooghi, P. (2023). Prediction of equivalent sand-grain size and identification of drag-relevant scales of roughness - a data-driven approach. Journal of Fluid Mechanics, 975, Article A34. https://doi.org/10.1017/jfm.2023.881

Alzweighi, M., Mansour, R., Maass, A., Hirn, U. & Kulachenko, A. (2024). Predicting moisture penetration dynamics in paper with machine learning approach. International Journal of Solids and Structures, 288, Article 112602. https://doi.org/10.1016/j.ijsolstr.2023.112602

Lee, S., Yang, J., Forooghi, P., Stroh, A. & Bagheri, S. (2022). Predicting drag on rough surfaces by transfer learning of empirical correlations. Journal of Fluid Mechanics, 933, Article A18. https://doi.org/10.1017/jfm.2021.1041

Alamia, A. & Bruun Andresen, G. (2023). Power-to-X integration in biogas plants: industrial symbiosis and cost-optimal production of hydrogen and e-methanol: won a best poster award. Poster session presented at Retrospect: GreenLab Summit 2023, Skive, Denmark.

Won, J., Bae, J., Kim, H., Kim, T., Nemati, N., Choi, S., Jung, M. C., Kim, S., Choi, H., Kim, B., Jin, D., Kim, M., Han, M. J., Kim, J. Y. & Shim, W. (2023). Polytypic Two-Dimensional FeAs with High Anisotropy. Nano Letters, 23(23), 11057-11065. https://doi.org/10.1021/acs.nanolett.3c03324

Mahato, M., Garai, M., Nguyen, V. H., Oh, S., Nam, S., Zeng, X., Yoo, H., Tabassian, R. & Oh, I. K. (2023). Polysulfonated covalent organic framework as active electrode host for mobile cation guests in electrochemical soft actuator. Science Advances, 9(50), Article eadk9752. https://doi.org/10.1126/sciadv.adk9752

Darki, A. A., Madsen, S. P. & Dantan, A. R. (2022). Polarization-independent optical spatial differentiation with a doubly-resonant one-dimensional guided-mode grating. Optics Express, 30(3), 3962-3972. https://doi.org/10.1364/OE.450981

Movassagh-Alanagh, F., Abdollah-zadeh, A., Alizadeh Zolbin, M., Nemati, N. & Aghababaei, R. (2023). Plasma-enhanced chemical vapor deposition of TiB₂ and TiBN hard coatings using BBr₃. Tribology International, 179, Article 108137. https://doi.org/10.1016/j.triboint.2022.108137

Yang, X., Du, Y., Li, L., Zhou, Z. & Zhang, X. (2023). Physics-Informed Neural Network for Model Prediction and Dynamics Parameter Identification of Collaborative Robot Joints. IEEE Robotics and Automation Letters, 8(12), 8462-8469. https://doi.org/10.1109/LRA.2023.3329620

Calafà, M., Hovad, E., Engsig-Karup, A. P. & Andriollo, T. (2024). Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving 2D linear elasticity problems. Computer Methods in Applied Mechanics and Engineering, 432, Article 117406. https://doi.org/10.1016/j.cma.2024.117406

Zehtabiyan-Rezaie, N., Iosifidis, A. & Abkar, M. (2023). Physics-Guided Machine Learning for Wind-Farm Power Prediction: Toward Interpretability and Generalizability. PRX Energy, 2(1), Article 013009. https://doi.org/10.1103/PRXEnergy.2.013009

Foldager, F. (2021). Physics-based modeling and simulation of agricultural machine-soil interaction. Århus Universitet.

Haegel, N. M., Verlinden, P., Victoria, M., Altermatt, P., Atwater, H., Barnes, T., Breyer, C., Case, C., De Wolf, S., Deline, C., Dharmrin, M., Dimmler, B., Gloeckler, M., Goldschmidt, J. C., Hallam, B., Haussener, S., Holder, B., Jaeger, U., Jaeger-Waldau, A. ... W. Bett, A. (2023). Photovoltaics at multi-terawatt scale: Waiting is not an option: 25% annual PV growth is possible over the next decade. Science, 380(6640), 39-42. https://doi.org/10.1126/science.adf6957

Ulriksen, M. D., Greś, S. & Bernal, D. (2024). Perturbation-invariant eigenvalue assignment for statistical damage localization. Journal of Physics: Conference Series, 2647, Article 192017. https://doi.org/10.1088/1742-6596/2647/19/192017

Aliana, A., Chang, M., Østergaard, P. A., Victoria, M. & Andersen, A. N. (2022). Performance assessment of using various solar radiation data in modelling large-scale solar thermal systems integrated in district heating networks. Renewable Energy, 190, 699-712. https://doi.org/10.1016/j.renene.2022.03.163

Søgaard Kristensen, A., Kruse Sørensen, E., Madsen, C., Kristofersson, J. & Forooghi, P. (2023). Performance analysis of heat pumps with zeotropic mixtures at different load conditions. International Journal of Refrigeration, 145, 264-275. https://doi.org/10.1016/j.ijrefrig.2022.09.028

Garg, H., Ledda, P. G., Skov Pedersen, J. & Pezzulla, M. (2024). Passive Viscous Flow Selection via Fluid-Induced Buckling. Physical Review Letters, 133(8), Article 084001. https://doi.org/10.1103/PhysRevLett.133.084001

Blanco, B., Errandonea, I., Beltrán, S., Arrizabalaga, S. & Alvarado, U. (2022). Panhead accelerations-based methodology for monitoring the stagger in overhead contact line systems. Mechanism and Machine Theory, 171, Article 104742. https://doi.org/10.1016/j.mechmachtheory.2022.104742

Langthjem, M. A. & Sugiyama, Y. (1999). Optimum design of Beck's column with a constraint on the static buckling load. Structural and Multidisciplinary Optimization, 18(4), 228-235.

Traistaru, O. T. L., Shyam, P., Christensen, M. & Madsen, S. P. (2022). Optimizing the energy product of exchange-coupled soft/hard Zn_0.2Fe_2.8O₄/SrFe₁₂O₁₉magnets. Journal of Applied Physics, 132(16), Article 163904. https://doi.org/10.1063/5.0103242

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