Abbiati, G., Gomes, C., Sandberg, M., Kazemi, Z., Hansen, S. T.
& Larsen, P. G. (2024).
Modelling for Digital Twins. I J. Fitzgerald, C. Gomes & P. G. Larsen (red.),
The Engineering of Digital Twins (s. 89-127). Springer.
https://doi.org/10.1007/978-3-031-66719-0_5
Baş, E. E.
, Abbiati, G., Gonçalves Gomes, C. Â., Jassmann, U.
& Larsen, P. G. (2024).
Digitalization of Large-Scale Testing Facilities for the Wind Industry: DIGIT-BENCH Digital Twin.
Journal of Physics: Conference Series,
2767(4), Artikel 042033.
https://doi.org/10.1088/1742-6596/2767/4/042033
Hansen, S. T., Thule, C., Gomes, C., Lausdahl, K. G., Madsen, F. P., Abbiati, G. & Larsen, P. G. (2024).
Co-simulation at different levels of expertise with Maestro2.
Journal of Systems and Software,
209, Artikel 111905.
https://doi.org/10.1016/j.jss.2023.111905
Jensen, A. M. D., Schoerghofer-Queiroz, A.
, Ulriksen, M. D., Tcherniak, D.
, Damkilde, L., Talasila, P., Larsen, P. G. & Abbiati, G. (2024).
Digital twin as a service for damage prognosis of offshore wind turbine foundations. I W. Desmet, B. Pluymers, D. Moens & J. del Fresno Zarza (red.),
Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (s. 4127-4141). KU Leuven, Departement Werktuigkunde.
Malund Dammark Jensen, A., Lund Thing, M., Gres, S. & Abbiati, G. (2024).
Input-state estimation for multi-body dynamic systems with Bayesian filters. I W. Desmet, B. Pluymers, D. Moens & J. del Fresno Zarza (red.),
Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (s. 1908-1922). KU Leuven, Departement Werktuigkunde.
Oakes, B.
, Gomes, C., Abbiati, G., Kamburjan, E., Bas, E. E. & Engelsgaard, S. (2024).
Towards Ontological Service-Driven Engineering of Digital Twins. I
Proceedings: MODELS 2024 - ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings (s. 464-469). Association for Computing Machinery, Inc..
https://doi.org/10.1145/3652620.3688261
T. Udengaard, J., Skouboe, E.
, Sørensen, K. K., Alibrandi, U. & Andersen, L. V. (2024).
PILE CAPACITY PREDICTION BASED ON MACHINE LEARNING USING SUPPORT VECTOR REGRESSION. Afhandling præsenteret på 19th Nordic Geotechnical Meeting, Gothenburg, Sverige.
https://www.ngm2024.se/Papers/ngm2024_machine%20learning_final%20version.pdf
Andersen, L. V., Mangliar, L., Hudert, M. M., Flodén, O. & Persson, P. (2023).
Early assessment of the vibroacoustic performance of large lightweight buildings. I A. Zingoni (red.),
Current Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems - Proceedings of the 8th International Conference on Structural Engineering, Mechanics and Computation, 2022: Proceedings of The Eighth International Conference on Structural Engineering, Mechanics and Computation, 5-7 September 2022, Cape Town, South Africa (Bind 1, s. 49-55). CRC Press.
https://doi.org/10.1201/9781003348443-8
Shen, C., Zhang, D.
, Clausen, J., Song, T., Xu, J. & Yang, S. (2023).
Centrifuge modelling on the stability of emergency flood control riverbank reinforced by deep mixed column: Case Study of Baishan Junction, China.
Case Studies in Construction Materials,
19, Artikel e02614.
https://doi.org/10.1016/j.cscm.2023.e02614
Zamani, G., Franza, A., Sørensen, K. K., Andersen, L. V., Tourchi, S. & Stutz, H. H. (2023).
A simplified approach to numerical modelling of an underground pumped hydroelectric energy storage system. I L. Zdravkovic, S. Kontoe, D. Taborda & K. Tsiampous (red.),
10th European Conference on Numerical Methods in Geotechnical Engineering https://doi.org/10.53243/NUMGE2023-104
Abbiati, G., Marelli, S., Ligeikis, C., Christenson, R. & Stojadinović, B. (2022).
Training of a Classifier for Structural Component Failure Based on Hybrid Simulation and Kriging.
Journal of Engineering Mechanics,
148(1), Artikel 04021137.
https://doi.org/10.1061/(ASCE)EM.1943-7889.0002048
Andersen, L. V., Mangliar, L., Hudert, M. M., Flodén, O. & Persson, P. (2022).
Vibroacoustic performance of multi-storey buildings: A comparison of lightweight and heavy structures in the early design phase. I A. Zingoni (red.),
Current Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems: Proceedings of The Eighth International Conference on Structural Engineering, Mechanics and Computation, 5-7 September 2022, Cape Town, South Africa (s. 108-114). CRC Press.
https://doi.org/10.1201_9781003348450-17
Flodén, O., Peplow, A., Persson, P.
, Mangliar, L. & Andersen, L. V. (2022).
Effect of modelling the air in rooms on the prediction of vibration transmission in cross-laminated timber buildings. I A. Zingoni (red.),
Current Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems: Proceedings of The Eighth International Conference on Structural Engineering, Mechanics and Computation, 5-7 September 2022, Cape Town, South Africa (s. 115-120). CRC Press.
https://doi.org/10.1201_9781003348450-18
Gres, S., Anastasopoulos, D., Hansen, J. F.
, Abbiati, G. & Reynders, E. P. B. (2022).
Statistical sensitivity-based damage localization with optical strain-based features. I W. Desmet, B. Pluymers, D. Moens & S. Neeckx (red.),
Proceedings of ISMA 2022 - International Conference on Noise and Vibration Engineering and USD 2022 - International Conference on Uncertainty in Structural Dynamics (s. 2816-2825). KU Leuven, Departement Werktuigkunde.
Abbiati, G., Lanese, I., Eftekhar Azam, S., Bursi, O. S. & Pavese, A. (2021).
A framework for hybrid simulation with online model updating suitable for hard real-time computing.
Structural Control and Health Monitoring,
28(1), Artikel e2652.
https://doi.org/10.1002/stc.2652
Abbiati, G., Marelli, S., Tsokanas, N., Sudret, B. & Stojadinović, B. (2021).
A global sensitivity analysis framework for hybrid simulation.
Mechanical Systems and Signal Processing,
146, Artikel 106997.
https://doi.org/10.1016/j.ymssp.2020.106997
Abbiati, G., Broccardo, M., Abdallah, I., Marelli, S. & Paolacci, F. (2021).
Seismic fragility analysis based on artificial ground motions and surrogate modeling of validated structural simulators.
Earthquake Engineering and Structural Dynamics,
50(9), 2314-2333.
https://doi.org/10.1002/eqe.3448
Abbiati, G., Broccardo, M., di Filippo, R., Stojadinović, B. & Bursi, O. S. (2021).
Seismic fragility analysis of a coupled tank-piping system based on artificial ground motions and surrogate modeling.
Journal of Loss Prevention in the Process Industries,
72, Artikel 104575.
https://doi.org/10.1016/j.jlp.2021.104575
Gonçalves Gomes, C. Â., Abbiati, G. & Larsen, P. G. (2021).
Seismic Hybrid Testing using FMI-based Co-Simulation. I M. Sjölund, L. Buffoni, A. Pop & L. Ochel (red.),
Proceedings of 14th Modelica Conference 2021, Linköping, Sweden, September 20-24, 2021 (s. 287-295)
https://doi.org/10.3384/ecp21181287
Lamperti Tornaghi, M., Tsionis, G., Pegon, P., Molina, J., Peroni, M., Korzen, M., Tondini, N., Covi, P.
, Abbiati, G., Antonelli, M. & Gilardi, B. (2021).
Experimental study of braced steel frames subjected to fire after earthquake. I
2021 17WCEE Proceedings Artikel C001800
Persson, P., Flodén, O., Danielsson, H., Peplow, A.
& Andersen, L. V. (2021).
Improved low-frequency performance of cross-laminated timber floor panels by informed material selection.
Applied Acoustics,
179, Artikel 108017.
https://doi.org/10.1016/j.apacoust.2021.108017
Tsokanas, N., Zhu, X.
, Abbiati, G., Marelli, S., Sudret, B. & Stojadinović, B. (2021).
A Global Sensitivity Analysis Framework for Hybrid Simulation with Stochastic Substructures.
Frontiers in Built Environment,
7, Artikel 778716.
https://doi.org/10.3389/fbuil.2021.778716