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Modelling for Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.),
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Alibrandi, U., Zio, E. & Mosalam, K. M. (2024).
Quantum-like Uncertainty Quantification (QUQ) for urban sustainability and resilience. In M. Beer, E. Zio, K.-K. Phoon, B. M. Ayyub & J. Behrensdorf (Eds.),
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Utility of Information (UoI) for probabilistic fatigue monitoring. In M. Beer, E. Zio, K.-K. Phoon, B. M. Ayyub & J. Behrensdorf (Eds.),
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Baş, E. E.
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Digitalization of Large-Scale Testing Facilities for the Wind Industry: DIGIT-BENCH Digital Twin.
Journal of Physics: Conference Series,
2767(4), Article 042033.
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Co-simulation at different levels of expertise with Maestro2.
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Digital twin as a service for damage prognosis of offshore wind turbine foundations. In W. Desmet, B. Pluymers, D. Moens & J. del Fresno Zarza (Eds.),
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Input-state estimation for multi-body dynamic systems with Bayesian filters. In W. Desmet, B. Pluymers, D. Moens & J. del Fresno Zarza (Eds.),
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Towards Ontological Service-Driven Engineering of Digital Twins. In
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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. Paper presented at 19th Nordic Geotechnical Meeting, Gothenburg, Sweden.
https://www.ngm2024.se/Papers/ngm2024_machine%20learning_final%20version.pdf
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OpenAIUQ: a platform for risk-informed digital twins of cities. In J. Li, K. K. Phoon & P. D. Spanos (Eds.),
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Alibrandi, U., ruggeri, A., zio, E., amador, S. & Brincker, R. (2023).
Quantum-inspired Bayesian Networks (QBN) for lifecycle integrity of offshore platforms in the North Sea. Radical Innovation Sprint, RIS 2022, 12 January 2023.
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Early assessment of the vibroacoustic performance of large lightweight buildings. In A. Zingoni (Ed.),
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Centrifuge modelling on the stability of emergency flood control riverbank reinforced by deep mixed column: Case Study of Baishan Junction, China.
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A simplified approach to numerical modelling of an underground pumped hydroelectric energy storage system. In L. Zdravkovic, S. Kontoe, D. Taborda & K. Tsiampous (Eds.),
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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,
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Vibroacoustic performance of multi-storey buildings: A comparison of lightweight and heavy structures in the early design phase. In A. Zingoni (Ed.),
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Effect of modelling the air in rooms on the prediction of vibration transmission in cross-laminated timber buildings. In A. Zingoni (Ed.),
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mallikarjuna, B. K., Chockalingam, S.
, Alibrandi, U., Asmone, A. S. & Manthapuri, S. (2022).
Toward Responsible Design of Low-Carbon Buildings: From Concept to Engineering.
Journal of Risk and Uncertainty in Engineering Systems - Part A : Civil Engineering,
8(2), Article 02522001.
https://doi.org/10.1061/AJRUA6.0001216
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), Article e2652.
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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, Article 106997.
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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,
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