Publications

Under publication list you can find a complete list of the publications that are written by employees at the Publications at Department of Civil and Architectural Engineering.

Publication list

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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. In Ocean Engineering: Volume 7B: Ocean Engineering Article OMAE2019-95179, V07BT06A017 American Society of Mechanical Engineers. https://doi.org/10.1115/OMAE2019-95179

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, Article 109591. https://doi.org/10.1016/j.compag.2024.109591

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

Wu, M. (2023). Prediction of concrete abrasion damage for hydraulic structures. Paper presented at 16th International Conference on Durability of Building Materials and Components, Beijing, China.

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), Article 103671. https://doi.org/10.1016/j.aei.2025.103671

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. In Proceedings of the 33 rd Annual Conference of the International Group for Lean Construction (IGLC33) (Vol. 33, pp. 598-609). IGLC. https://doi.org/10.24928/2025/0238

Amato, V. (2023). Practical realization of space heating demand response in residential buildings. [PhD thesis, Aarhus University]. Aarhus University.

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. In Proceedings of the 38th International Conference of CIB W78, Luxembourg, 13-15 October: Joint Conference CIB W78 - LDAC 2021 (pp. 638-649). Article 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. Paper presented at 19th Nordic Geotechnical Meeting, Gothenburg, Sweden. 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. In Proceedings of the 34th International Ocean and Polar Engineering Conference, 2024 (pp. 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, Article 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. In Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31) (Vol. 31, pp. 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. In S. A. Behnejad, G. A. R. Parke & O. A. Samavati (Eds.), 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), Article 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, Article 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, Article 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. Paper presented at The 2nd International Conference on Net-Zero Built Environment: Innovations in Materials, Structures, and Management, Cape Town, South Africa.

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

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

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, Article 118305. https://doi.org/10.1016/j.engstruct.2024.118305

Huang, T. (2022). Optimal cooling for high productive sows in hot climates: [PhD thesis, Aarhus University]. Aarhus Universitet.

Sun, T. & Zhang, Z. (2022). Optimal control and performance evaluation of an inerter-based point absorber wave energy converter. Ocean Engineering, 259, Article 111883. https://doi.org/10.1016/j.oceaneng.2022.111883

Geppetti, A., Facciorusso, J., Ciardi, G., Prada-Sarmiento, L. F. & Madiai, C. (2023). OpenSees Analysis of a Tailings Storage Facility in Southern Tuscany (Italy). In A. Ferrari, M. Rosone, M. Ziccarelli, A. Ferrari & G. Gottardi (Eds.), Geotechnical Engineering in the Digital and Technological Innovation Era (pp. 511-518). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-34761-0_62

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.

Mendler, A., Greś, S., Döhler, M. & Keßler, S. (2022). On the Probability of Localizing Damages Based on Mode Shape Changes. In P. Rizzo & A. Milazzo (Eds.), European Workshop on Structural Health Monitoring: EWSHM 2022 - Volume 1 (pp. 233-243). Springer. https://doi.org/10.1007/978-3-031-07254-3_23

Saadatjoo, P., Moradi, H., Hamdan, M., Farouq, M. M. & Mirzaei, P. A. (2025). On the oversimplification of neighborhood impact in urban microclimate and building energy models. Building and Environment, 283, Article 113301. https://doi.org/10.1016/j.buildenv.2025.113301

Hagsten, L. G., Fisker, J., Svarre, C. & Frandsen, T. (2022). On the influence of transverse reinforcement type and layout on the shear capacity of thin-weed concrete beams. Bygningsstatiske Meddelelser, 92(2), 15-29. Article 92-2.

Huang, T., Rong, L. & Zhang, G. (2021). On the feasibility of using Neural Networks to model the performance of the precision air distribution in sectioned sow houses. In Proceedings of the 12nd International Symposium on Heating, Ventilation and Air Conditioning (ISHVAC 2021)

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

Moustapha Doumbia, E., Janke, D., Yi, Q., Zhang, G., Amon, T., Kriegel, M. & Hempel, S. (2021). On finding the right sampling line height through a parametric study of gas dispersion in a NVB. Applied Sciences (Switzerland), 11(10), Article 4560. https://doi.org/10.3390/app11104560

Kristoffersen, J. C., Bredmose, H., Georgakis, C. T. & Pierella, F. (2022). Numerical study of the effect of wind above irregular waves on the wave-induced load statistics. Coastal Engineering, 176, Article 104145. https://doi.org/10.1016/j.coastaleng.2022.104145

Kania, J. G., de Sousa, L. L. C. G., Hededal, O. & Sørensen, K. K. (2024). Numerical modelling of soil-pile interaction in a subsiding soil. In N. Guerra, M. Matos Fernandes, C. Ferreira, A. Gomes Correia, A. Pinto & P. Sêco Pinto (Eds.), Geotechnical Engineering Challenges to Meet Current and Emerging Needs of Society (1. ed.). CRC Press. https://www.taylorfrancis.com/chapters/oa-edit/10.1201/9781003431749-86/numerical-modelling-soil-pile-interaction-subsiding-soil-kania-de-sousa-hededal-s%C3%B8rensen?context=ubx&refId=a3c3c516-f318-42d4-bb78-e4b03befcf8d

Liu, Q., Andersen, L. V., Wu, M., Zhang, M. & Snoeck, D. (2025). Numerical investigations of the abrasion behavior of concrete based on a coupled Eulerian–Lagrangian approach. Computers and Structures, 315, Article 107808. https://doi.org/10.1016/j.compstruc.2025.107808

Yang, R., Zhang, W., Choi, C. Y., Rong, L., Zhang, G., Liu, K. & Wang, X. (2025). Numerical evaluation on spray cooling to mitigate heat stress in cattle using computational fluid dynamics. Computers and Electronics in Agriculture, 229, Article 109775. https://doi.org/10.1016/j.compag.2024.109775

Wang, Z., Zhou, H., Franza, A. & Liu, H. (2022). Numerical evaluation of scour effects on lateral behavior of pile groups in clay. Computers and Geotechnics, 150, Article 104913. https://doi.org/10.1016/j.compgeo.2022.104913

Stamenov, D., Abbiati, G. & Sauder, T. (2025). Numerical estimation of generalized frequency response functions from time series data using NARX. Mechanical Systems and Signal Processing, 239, Article 113278. https://doi.org/10.1016/j.ymssp.2025.113278

Watford, M., Templeman, J., Orazalin, Z., Zhou, H., Franza, A. & Sheil, B. (2022). Numerical analysis of the deep soil failure mechanism for perimeter pile groups. Geotechnique Letters, 12(1), 27-34. https://doi.org/10.1680/jgele.21.00080

Johansen, K. W., Nielsen, R. O., Schultz, C. P. L. & Teizer, J. (2020). Non-monotonic Reasoning For Automated Progress Analysis Of Construction Operations. In N. Dawood , F. Pour Rahimian, S. Seyedzadeh & M. Sheikhkhoshkar (Eds.), Enabling the Development and Implementation of Digital Twins: Proceedings of the 20th International Conference on Construction Applications of Virtual Reality (pp. 292-303) https://www.researchgate.net/profile/Farzad-Pour-Rahimian/publication/344444905_Enabling_the_Development_and_Implementation_of_Digital_Twins_Proceedings_of_the_20th_International_Conference_on_Construction_Applications_of_Virtual_Reality/links/5fb3ec4445851518fdad5eab/Enabling-the-Development-and-Implementation-of-Digital-Twins-Proceedings-of-the-20th-International-Conference-on-Construction-Applications-of-Virtual-Reality.pdf

Jacobsen, E. L. & Teizer, J. (2022). Neural Networks in the Construction Industry: Knowledge Gaps and Possibilities. In F. Jazizadeh, T. Shealy & M. J. Garvin (Eds.), Construction Research Congress 2022: Computer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022 (pp. 1174-1183). American Society of Civil Engineers. https://doi.org/10.1061/9780784483961.123

Alibrandi, U., Andersen, L. V. & Zio, E. (2021). Mutual information for global sensitivity analysis and adaptive-learning surrogate modelling. In A. Sofi, G. Muscolino & R. L. Muhanna (Eds.), Proceedings of the 9th International Workshop on Reliable Engineering Computing: Risk and Uncertainty in Engineering Computations, May 17-20, 2021, Virtual Conference (pp. 164-177) http://ww2new.unime.it/REC2021/proceedings/REC2021_Proceedings.pdf

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