Publications

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Liu, Q., Andersen, L. V., Zhang, M. & Wu, M. (2024). Abrasion damage of concrete for hydraulic structures and mitigation measures: A comprehensive review. Construction and Building Materials, 422, Article 135754. https://doi.org/10.1016/j.conbuildmat.2024.135754

Nordtorp, F., Baş, E. E., Gomes, C. & Abbiati, G. (2024). A Hybrid Testing Framework for Wind Turbine Mechanical Components. Journal of Physics: Conference Series, 2767(5), Article 052046. https://doi.org/10.1088/1742-6596/2767/5/052046

Li, J., Hudert, M. M. & Andersen, L. V. (2024). A study of internal stiffeners in wooden slab panels obtained by topology optimisation. In Proceedings of the IASS 2024 Symposium: Redefining the Art of Structural Design International Association for Shell and Spatial Structures (IASS).

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, Article 111905. https://doi.org/10.1016/j.jss.2023.111905

Stamenov, D., Abbiati, G. & Sauder, T. (2024). Data-driven modeling of low-frequency hydrodynamic loads. Journal of Physics: Conference Series (Online), 2875(1), Article 012043. https://doi.org/10.1088/1742-6596/2875/1/012043

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), Article 042033. https://doi.org/10.1088/1742-6596/2767/4/042033

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. In W. Desmet, B. Pluymers, D. Moens & J. del Fresno Zarza (Eds.), Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (pp. 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. In W. Desmet, B. Pluymers, D. Moens & J. del Fresno Zarza (Eds.), Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (pp. 1908-1922). KU Leuven, Departement Werktuigkunde.

Abbiati, G., Gomes, C., Sandberg, M., Kazemi, Z., Hansen, S. T. & Larsen, P. G. (2024). Modelling for Digital Twins. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.), The Engineering of Digital Twins (pp. 89-127). Springer. https://doi.org/10.1007/978-3-031-66719-0_5

Stamenov, D., Abbiati, G. & Sauder, T. (2024). Optimal experimental design for identification of hydrodynamic loading models. Journal of Physics: Conference Series, 2875(1), Article 012044. https://doi.org/10.1088/1742-6596/2875/1/012044

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

Liu, Q., Andersen, L. V. & Wu, M. (2024). Prediction of concrete abrasion depth and computational design optimization of concrete mixtures. Cement and Concrete Composites, 148, Article 105431. https://doi.org/10.1016/j.cemconcomp.2024.105431

Jędrzejczyk, A., Firek, K., Rusek, J. & Alibrandi, U. (2024). Prediction of damage intensity to masonry residential buildings with convolutional neural network and support vector machine. Scientific Reports, 14(1), Article 16256. https://doi.org/10.1038/s41598-024-66466-3

Alibrandi, U., zio, E. & Mosalam, K. M. (2024). Quantum imprecise Bayesian Networks (QIBN) for modelling socio-ecological-technical systems under uncertainty. In 2023 7th International Conference on System Reliability and Safety, ICSRS 2023 (pp. 43-52). IEEE. https://doi.org/10.1109/ICSRS59833.2023.10381339

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.), Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management 4–7 September 2022, Hannover, Germany (pp. 667-676). Research Publishing Services. https://doi.org/10.3850/978-981-18-5184-1_MS-20-171-cd

Gao, Y., Alibrandi, U. & mosalam, K. M. (2024). Sustainable and Resilient Engineering for Facade Design under Uncertainty in the Tropics. Journal of Risk and Uncertainty in Engineering Systems - Part A : Civil Engineering, 10(2), Article 04024015. https://doi.org/10.1061/AJRUA6.RUENG-1132

Oakes, B., Gomes, C., Abbiati, G., Kamburjan, E., Bas, E. E. & Engelsgaard, S. (2024). Towards Ontological Service-Driven Engineering of Digital Twins. In Proceedings: MODELS 2024 - ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings (pp. 464-469). Association for Computing Machinery, Inc.. https://doi.org/10.1145/3652620.3688261

Alibrandi, U., Du, G., Amador, S. & Brincker, R. (2024). Utility of Information (UoI) for probabilistic fatigue monitoring. In M. Beer, E. Zio, K.-K. Phoon, B. M. Ayyub & J. Behrensdorf (Eds.), Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 (pp. 662-666). Research Publishing Services. https://doi.org/10.3850/978-981-18-5184-1_MS-20-170-cd

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. In L. Zdravkovic, S. Kontoe, D. Taborda & K. Tsiampous (Eds.), 10th European Conference on Numerical Methods in Geotechnical Engineering https://doi.org/10.53243/NUMGE2023-104

Rusek, J., Alibrandi, U., Słowik, L. & Chomacki, L. (2023). BNSL GOBNILP algorithm in application to damage intensity prognostic system to RC multistorey residential buildings subjected to negative impacts of the industrial environment of mines. Journal of Building Engineering , 80, Article 107885. https://doi.org/10.1016/j.jobe.2023.107885

Afarini Fard, M., Farhad, D., Georgakis, C. T. & Andersen, L. V. (2023). Capacity assessment of segment-to-segment joints in precast unbonded segmental bridge decks under vertical seismic mainshock and aftershocks. Structures, 55, 2358-2369. https://doi.org/10.1016/j.istruc.2023.06.011

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, Article e02614. https://doi.org/10.1016/j.cscm.2023.e02614

Stamenov, D., Abbiati, G. & Sauder, T. (2023). Data-driven modeling of hydrodynamic loading using NARX and harmonic probing. Journal of Physics: Conference Series, 2626(1), Article 012065. https://doi.org/10.1088/1742-6596/2626/1/012065

Andersen, L. V., Mangliar, L., Hudert, M. M., Flodén, O. & Persson, P. (2023). Early assessment of the vibroacoustic performance of large lightweight buildings. In A. Zingoni (Ed.), 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 (Vol. 1, pp. 49-55). CRC Press. https://doi.org/10.1201/9781003348443-8

Clausen, J. C. S. (2023). Finite element implementation of the Christensen failure criterion with zero tensile strength. In L. Zdravkovic, S. Kontoe, A. Tsiampousi & D. M. G. Taborda (Eds.), NUMGE 2023 Proceedings https://doi.org/10.53243/NUMGE2023-352

Abbiati, G., Baş, E. E., Gomes, C. & Larsen, P. G. (2023). Hybrid fire testing using FMI-based co-simulation. Fire Safety Journal, 139, Article 103832. https://doi.org/10.1016/j.firesaf.2023.103832

Alibrandi, U. & M. Mosalam, K. (2023). OpenAIUQ: a platform for risk-informed digital twins of cities. In J. Li, K. K. Phoon & P. D. Spanos (Eds.), Safety, Reliability, Risk and Resilience of Structures and Infrastructures: Proceedings of the 13th International Conference on Structural Safety and Reliability (ICOSSAR 2021 - 2022) (pp. 0735-0742). Shanghai Scientific and Technological Publishing House.

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.

Alibrandi, U., ruggieri, A., Amador, S. D. R. & Brincker, R. (2023). Quantum-inspired Bayesian Networks (QBN) for lifecycle integrity of offshore platforn in the North Sea.

Harichandran, A., Wandahl, S. & Andersen, L. V. (2023). State of the art Technologies that Facilitate Transition of Built Environment into Circular Economy. In B. Garcia de Soto, V. Gonzalez & I. Brilakis (Eds.), Proceedings of the 40th International Symposium on Automation and Robotics in Construction (pp. 730-737). International Association on Automation and Robotics in Construction (IAARC). https://doi.org/10.22260/ISARC2023/0101

Alibrandi, U., Muscolino, G. & Sofi, A. (2023). Stochastic Sustainable and Resilient Based Engineering (SRBE) for Seismic Analysis Under Interval-Based Imprecise Ground Motion. In J. Li, K. K. Phoon & P. D. Spanos (Eds.), Safety, Reliability, Risk and Resilience of Structures and Infrastructures: Proceedings of the 13th International Conference on Structural Safety and Reliability (ICOSSAR 2021 - 2022) (pp. 0754-0761). Shanghai Scientific and Technological Publishing House.

Liu, Q., Li, L., Andersen, L. V. & Wu, M. (2023). Studying the abrasion damage of concrete for hydraulic structures under various flow conditions. Cement and Concrete Composites, 135, Article 104849. https://doi.org/10.1016/j.cemconcomp.2022.104849

Li, J., Andersen, L. V. & Hudert, M. M. (2023). The Potential Contribution of Modular Volumetric Timber Buildings to Circular Construction: A State-of-the-Art Review Based on Literature and 60 Case Studies. Sustainability, 15(23), Article 16203. https://doi.org/10.3390/su152316203

Stamenov, D., Abbiati, G. & Sauder, T. (2023). Transfer Function Estimation with a Numerical Harmonic Probing Algorithm. Paper presented at X International Conference on Computational Methods in Marine Engineering, Madrid, Spain. https://doi.org/10.23967/marine.2023.028

Lim, H. U., Manuel, L., Persson, P. & Andersen, L. V. (2023). Uncertainty quantification of wood floor system modal frequencies resulting from variable densities in members. Structures, 53, 1425-1434. https://doi.org/10.1016/j.istruc.2023.04.111

Abbiati, G., Zhang, Z., Franza, A., Andersen, L. V. & Stutz, H. H. (2022). A computational framework for integrated analysis and hybrid testing of mooring line foundations. In Offshore Geotechnics Article OMAE2022-79853, V009T10A001 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/OMAE2022-79853

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. In A. Zingoni (Ed.), 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 (pp. 115-120). CRC Press. https://doi.org/10.1201_9781003348450-18

Ogrizovic, J., Abbiati, G., Stojadinović, B. & Frangi, A. (2022). Hybrid simulation of a post-tensioned timber frame and validation of numerical models for seismic design. Engineering Structures, 265, Article 114415. https://doi.org/10.1016/j.engstruct.2022.114415

Alibrandi, U., Andersen, L. V. & Zio, E. (2022). Informational probabilistic sensitivity analysis and active learning surrogate modelling. Probabilistic Engineering Mechanics, 70, Article 103359. https://doi.org/10.1016/j.probengmech.2022.103359

Alibrandi, U. (2022). Risk-Informed Digital Twin of Buildings and Infrastructures for Sustainable and Resilient urban communities. Journal of Risk and Uncertainty in Engineering Systems - Part A : Civil Engineering, 12(1), Article 10. https://doi.org/10.1061/AJRUA6.000123

Rahbek, L. W., Carsten R. Terp, C., Alibrandi, U. & Kirkegaard, P. H. (2022). Stock optimization of naturally curved wood logs on freeform truss structures. In Proceedings of the IASS 2022 Symposia International Association for Shell and Spatial Structures (IASS). https://www.ingentaconnect.com/contentone/iass/piass/2022/00002022/00000007/art00019?crawler=true&mimetype=application/pdf

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., 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), Article 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. In A. Zingoni (Ed.), 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 (pp. 108-114). CRC Press. https://doi.org/10.1201_9781003348450-17

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. 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, Article 106997. https://doi.org/10.1016/j.ymssp.2020.106997

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, Article 778716. https://doi.org/10.3389/fbuil.2021.778716

Abbiati, G. & Sauder, T. (2021). Bayesian experimental design of cyber-physical tests for hydrodynamic model calibration. In Ocean Engineering Article V006t06a032 American Society of Mechanical Engineers. https://doi.org/10.1115/OMAE2021-60490

Clausen, J. C. S. (2021). Consistent evaluation of slope safety factors between different strength criteria. In R. Hammah, T. Yacoub, A. McQuillan & J. Curran (Eds.), The Evolution of Geotech: 25 Years of Innovation (pp. 429-435). CRC Press. https://www.rocscience.com/assets/resources/products/Rocscience-International-Conference-2021-Proceedings.pdf

Sauca, A., Mortensen, N., Drustrup, A. & Abbiati, G. (2021). Development of a Thermomechanical Hybrid Testing Platform for Fire Following Earthquake Simulation. In 2021 17WCEE Proceedings Article C001475

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Revised 18.09.2024

Lars Vabbersgaard Andersen