Luo, Q., Zhang, X., Bai, Y., Yang, J. & Geng, G. (2023).
Reduce the cost and embodied carbon of ultrahigh performance concrete using waste clay.
Case Studies in Construction Materials,
19, Artikel e02670.
https://doi.org/10.1016/j.cscm.2023.e02670
Yao, Y., Wang, L., Li, J., De Belie, N.
, Shi, X., Van Den Heede, P., Zhang, C., Liu, Z., Talakokula, V., Jin, Z., Xiong, C., Lu, J., Kamali-Bernard, S., Bansal, T., Li, B., Wang, Z. & Huang, Y. (2023).
Recommendation of RILEM TC 281-CCC: Test method to determine the effect of uniaxial compression load and uniaxial tension load on concrete carbonation depth.
Materials and Structures/Materiaux et Constructions,
56(7), Artikel 121.
https://doi.org/10.1617/s11527-023-02203-y
Zhang, W., Yang, R., Choi, C. Y.
, Rong, L., Zhang, G., Wang, K. & Wang, X. (2024).
Recent research and development of individual precision cooling systems for dairy cows – A review.
Computers and Electronics in Agriculture,
225, Artikel 109248.
https://doi.org/10.1016/j.compag.2024.109248
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., 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.
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.
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
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
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
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
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
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
Alibrandi, U. & M. Mosalam, K. (2023).
OpenAIUQ: a platform for risk-informed digital twins of cities. I J. Li, K. K. Phoon & P. D. Spanos (red.),
Safety, Reliability, Risk and Resilience of Structures and Infrastructures: Proceedings of the 13th International Conference on Structural Safety and Reliability (ICOSSAR 2021 - 2022) (s. 0735-0742). Shanghai Scientific and Technological Publishing House.
Skov, J. F.
, Ulriksen, M. D., Dickow, K. A.
, Kirkegaard, P. H. & Damkilde, L. (2013).
On Structural Health Monitoring of Wind Turbine Blades.
Key Engineering Materials,
569-570, 628-635.
https://doi.org/10.4028/www.scientific.net/KEM.569-570.628