Publikationer

Under publikationsliste finder du en samlet liste over de publikationer, som er lavet af medarbejdere ved Institut for Byggeri og Bygningsdesign.

Publikationsliste

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Christensen, L. & Petersen, S. (2023). Realizing the load shifting potential of residential space heating: A field study on the control input for thermostatic control of indoor air temperature. Journal of Physics: Conference Series, 2654(1), Artikel 012102. https://doi.org/10.1088/1742-6596/2654/1/012102

Høeg, C. E. & Zhang, Z. (2022). Reaction loads analysis of floating offshore wind turbines: Methods and applications in the modal-based modeling framework. Ocean Engineering, 266, Artikel 112952. https://doi.org/10.1016/j.oceaneng.2022.112952

Demartino, C., Sun, Z., Matteoni, G. & Georgakis, C. T. (2023). Quasi-steady three-degrees-of-freedom aerodynamic model of inclined/yawed prisms: Formulation and instability for galloping and static divergence. Wind and Structures, 37(1), 57-78. https://doi.org/10.12989/was.2023.37.1.057

Alibrandi, U., Zio, E. & Mosalam, K. M. (2024). Quantum-like Uncertainty Quantification (QUQ) for urban sustainability and resilience. I M. Beer, E. Zio, K.-K. Phoon, B. M. Ayyub & J. Behrensdorf (red.), Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management 4–7 September 2022, Hannover, Germany (s. 667-676). Research Publishing Services. https://doi.org/10.3850/978-981-18-5184-1_MS-20-171-cd

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.

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

Pedersen, K. B., Stefankovics, G., Plamenov Nachev, S. & Wandahl, S. (2024). Quantifying and Planning Carbon Emissions in Construction With Location-Based Scheduling. I Proceedings of the 32nd Annual Conference of the International Group for Lean Construction (IGLC32) (Bind 32, s. 416–427) https://doi.org/10.24928/2024/0175

Terkildsen, E. S., Sørensen, A. & Kamari, A. (2025). Quantification of Biodiversity Loss in Building Life Cycle Assessment: Insights Towards Regenerative Design. Sustainability, 17(18), Artikel 8369. https://doi.org/10.3390/su17188369

Franza, A., Sørensen, K. K. & Stutz, H. H. (2025). Pumped underground hydroelectric energy storage system in sand: an overview of the field trials in Foulum, Denmark. Abstract fra 3rd International Conference on Energy Geotechnics 2025, Paris. https://hal.science/hal-05344040

Li, L., Liu, Q. & Wu, M. (2023). Properties of Cement Mortars Subject to Varied Carbonation Treatments at Early Ages. Journal of Materials in Civil Engineering, 35(12), Artikel 04023462. https://doi.org/10.1061/JMCEE7.MTENG-16222

Damsgaard, A., Piotrowski, J. A., Madden, I., Suckale, J. & Sørensen, K. K. (2021). Process-based modeling of glacial till advection. Abstract fra AGU Fall Meeting 2021, New Orleans, USA.

Wickrama Achchige, D., Chen, D., Kokogiannakis, G. & Fiorentini, M. (2023). Probabilistic modelling of occupants’ thermostat preferences for residential building energy simulation and rating. Journal of Building Performance Simulation, 16(4), 398-414. https://doi.org/10.1080/19401493.2022.2147674

Jacobsen, E. L., Teizer, J., Wandahl, S. & Brilakis, I. (2024). Probabilistic forecasting of construction labor productivity metrics. Journal of Information Technology in Construction, 24, 58-83. https://doi.org/10.36680/j.itcon.2024.004

Al-Khiami, M. L., Lindhard, S. & Wandahl, S. (2025). Prevalence of work-related musculoskeletal disorders and associated sociocultural reporting behaviors in Kuwait's construction industry. Work: A Journal of Prevention, Assessment & Rehabilitation, 81(3), 2937-2951. https://doi.org/10.1177/10519815251325780

Kristoffersen, J. C., Bredmose, H., Georgakis, C. T. & Tao, L. (2019). Preliminary Experimental Study on the Influence of the Local Wind Field on Forces From Breaking Waves on a Circular Cylinder. I Ocean Engineering: Volume 7B: Ocean Engineering Artikel OMAE2019-95179, V07BT06A017 American Society of Mechanical Engineers. https://doi.org/10.1115/OMAE2019-95179

Agkathidis, A., Hudert, M. & Medel-Vera, C. (2026). Preface. I A. Agkathidis, M. Hudert & C. Medel-Vera (red.), Architecture in the AI Era for Research, Practice, and Pedagogy (s. v). Springer.

Chen, G., Zhang, G. & Rong, L. (2024). Predictive models of air temperatures inside a naturally ventilated vehicle transporting weaner pigs. Computers and Electronics in Agriculture, 227, Artikel 109591. https://doi.org/10.1016/j.compag.2024.109591

Li, R., Meng, Q., Shi, Y., Zhang, N., Chen, G. & Xu, G. (2026). Predictive modelling of pedestrian‑level outdoor ventilation in urban residential areas with varied morphological parameters at comparable building densities. Sustainable Cities and Society, 144, Artikel 107424. https://doi.org/10.1016/j.scs.2026.107424

Liu, Y., Zhuang, Y., Ji, B., Zhang, G., Rong, L., Teng, G. & Wang, C. (2022). Prediction of laying hen house odor concentrations using machine learning models based on small sample data. Computers and Electronics in Agriculture, 195, Artikel 106849. https://doi.org/10.1016/j.compag.2022.106849

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), Artikel 16256. https://doi.org/10.1038/s41598-024-66466-3

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, Artikel 105431. https://doi.org/10.1016/j.cemconcomp.2024.105431

Wu, M. (2023). Prediction of concrete abrasion damage for hydraulic structures. Afhandling præsenteret på 16th International Conference on Durability of Building Materials and Components, Beijing, Kina.

Yildirim, H. C. (2025). Predicting fast crack propagation in welded steel plates with random flaws using Recurrent Neural Networks. Advanced Engineering Informatics, 68(Part C), Artikel 103671. https://doi.org/10.1016/j.aei.2025.103671

Pantilimonescu-Cioancă, F., Alibrandi, U. & Beatini, V. (2026). Predicting emotional impact of adaptive façades through Machine Learning, A VR-based study with PAD assessment. Building and Environment, 297, Artikel 114541. https://doi.org/10.1016/j.buildenv.2026.114541

Martinez Ribon, J. G. T., Giménez, Z., Salazar, L., Alva, L., F Alarcon, L., Yeung, T. & Sacks, R. (2025). Practices and Barriers to the Adoption of Digital Twin Construction in Latin America. I Proceedings of the 33 rd Annual Conference of the International Group for Lean Construction (IGLC33) (Bind 33, s. 598-609). IGLC. https://doi.org/10.24928/2025/0238

Amato, V. (2023). Practical realization of space heating demand response in residential buildings. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Jensen, S. R., Gabel, C. H., Petersen, S. & Kirkegaard, P. H. (2022). Potentials for increasing resident wellbeing in energy renovation of multi-family social housing. Indoor and Built Environment, 31(3), 624-644. https://doi.org/10.1177/1420326X211039883

Kamari, A., Petersen, J. H. & Schultz, C. P. L. (2021). Popularizing DGNB in the Danish construction industry: A field study of the industry via a qualitative comparative analysis. I Proceedings of the 38th International Conference of CIB W78, Luxembourg, 13-15 October: Joint Conference CIB W78 - LDAC 2021 (s. 638-649). Artikel 64. http://itc.scix.net/paper/w78-2021-paper-064

Hagsten, L. G., van Logtestijn, M. & Laustsen, H. H. (2022). Point foundation. Upper and lower bound solution for point load and upper bound solution for distributed load. Bygningsstatiske Meddelelser, 92(2), 1-13.

Hagsten, L. G. (2023). Point Foundation. Lower Bound Solution for Distributed Load. Bygningsstatiske Meddelelser, 93(1). https://www.dssse.dk/wp-content/uploads/2024/01/DSSSE-foundation-no-2a.pdf

Dahl, M. R., Petersen, C. K., Thomsen, T. & Johnsen, S. S. (2023). PIX pilotprojekt evaluering. Aarhus University. Centre for Educational Development - CED.

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

Kristoffersen, J. C., Kabel, T., Georgakis, C. T. & Desai, N. (2024). Performance Study of Cost-Effective LiDAR Instrument Measuring Surface Waves in a Laboratory. I Proceedings of the 34th International Ocean and Polar Engineering Conference, 2024 (s. 2213-2219)

Miah, M. J., Huaping, R., Paul, S. C., Babafemi, A. J., Sharma, R. & Jang, J. G. (2023). Performance of eco-friendly concrete made from recycled waste tire fine aggregate as a replacement for river sand. Structures, 58, Artikel 105463. https://doi.org/10.1016/j.istruc.2023.105463

Dandu, S. N., Kumar, V., Sengupta, J. & Bokde, N. D. (2022). Performance Analysis of Multilayer Coil Based MI Waveguide Communication System. Computers, Materials and Continua, 72(3), 5287-5300. https://doi.org/10.32604/cmc.2022.026390

Salling, S. T., Perez, C. T. & Wandahl, S. (2023). Perception of Project Management Among Construction Workers: A Survey in Denmark. I Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31) (Bind 31, s. 882-893) https://doi.org/10.24928/2023/0124

N. Sharma, A., R. Dongre, S., Gupta, R., Pandey, P. & Bokde, N. D. (2022). Partitioning of Water Distribution Network into District Metered Areas Using Existing Valves. Computer Modeling in Engineering & Sciences, 131(3), 1515-1537. https://doi.org/10.32604/cmes.2022.018867

Rahbek, L. W., Kirkegaard, P. H. & Alibrandi, U. (2021). Parametric grid mapping design tool for freeform surfaces using a genetic algorithm. I S. A. Behnejad, G. A. R. Parke & O. A. Samavati (red.), Proceedings of the IASS Annual Symposium 2020/21 and the 7th International Conference on Spatial Structures: Inspiring the Next Generation International Association for Shell and Spatial Structures (IASS).

Al-Khiami, M. I., Lindhard, S. M. & Wandahl, S. (2025). Paradox in Practice: Work-Related Musculoskeletal Disorder Prevalence and Reporting among Construction Workers in Kuwait and Denmark. Journal of Construction Engineering and Management, 151(7), Artikel 04025078. https://doi.org/10.1061/JCEMD4.COENG-15899

Bugenings, L. A. & Kamari, A. (2023). Overheating in existing and renovated Danish terraced houses. Building Simulation Conference Proceedings, 18, 508-515. https://doi.org/10.26868/25222708.2023.1199

Bugenings, L. A. & Kamari, A. (2022). Overheating in existing and renovated Danish single- and multi-family houses. Journal of Building Engineering , 57, Artikel 104835. https://doi.org/10.1016/j.jobe.2022.104835

Attia, S., Benzidane, C., Rahif, R., Amaripadath, D., Hamdy, M., Holzer, P., Koch, A., Maas, A., Moosberger, S., Petersen, S., Mavrogianni, A., Maria Hidalgo-Betanzos, J., Almeida, M., Akander, J., Khosravi Bakhtiari, H., Kinnane, O., Kosonen, R. & Carlucci, S. (2023). Overheating calculation methods, criteria, and indicators in European regulation for residential buildings. Energy and Buildings, 292, Artikel 113170. https://doi.org/10.1016/j.enbuild.2023.113170

Wei, R., Alfaro, E., Wang, T. & Wu, M. (2025). Optimizing In-Situ Strengthening of Low-Strength Porous Mortar Using a Definitive Screening Design Study. Afhandling præsenteret på The 2nd International Conference on Net-Zero Built Environment: Innovations in Materials, Structures, and Management, Cape Town, Sydafrika.

Vivian, J., Heer, P. & Fiorentini, M. (2023). Optimal sizing and operation of seasonal ice thermal storage systems. Energy and Buildings, 300, Artikel 113633. https://doi.org/10.1016/j.enbuild.2023.113633

Put, F., Sørensen, M. B., Abbiati, G., Lucherini, A., Merci, B. & Van Coile, R. (2026). Optimal experimental design for the calibration of a high-temperature thermal strain model for concrete during cooling. Construction and Building Materials, 518, Artikel 145731. https://doi.org/10.1016/j.conbuildmat.2026.145731

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

Sorge, E., Riascos, C., Caterino, N., Demartino, C. & Georgakis, C. T. (2024). Optimal design of a hinge-spring-friction device for enhancing wind induced structural response of onshore wind turbines. Engineering Structures, 314, Artikel 118305. https://doi.org/10.1016/j.engstruct.2024.118305

Yang, T., Gantenbein, P. & Fiorentini, M. (2026). Optimal Design and Operation of Seasonal Thermochemical Energy Storage for a Single-Family House. I C. Zilio, F. Busato, L. Mazzarella & M. Noro (red.), Proceedings of the 15th REHVA HVAC World Congress - CLIMA 2025 - Volume 3 (s. 649-659). Springer Science+Business Media. https://doi.org/10.1007/978-3-032-10546-2_61

Huang, T. (2022). Optimal cooling for high productive sows in hot climates: [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

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