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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Johansen, K. W., Nielsen, R., Schultz, C. & Teizer, J. (2021). Automated activity and progress analysis based on non-monotonic reasoning of construction operations. Smart and Sustainable Built Environment, 10(3), 457-486. https://doi.org/10.1108/SASBE-03-2021-0044

Johansen, K. W., Pimentel de Figueiredo, R., Golovina, O. & Teizer, J. (2021). Autonomous Safety Barrier Inspection in Construction: An Approach Using Unmanned Aerial Vehicles and SafeBIM. I C. Feng, T. Linner & I. Brilakis (red.), Proceedings of the 38th International Symposium on Automation and Robotics in Construction, ISARC 2021 (s. 629-636) https://doi.org/10.22260/ISARC2021/0085

Johansen, K. W., Schultz, C. P. L. & Teizer, J. (2022). BIM-based fall hazard ontology and benchmark model for comparison of automated prevention through design approaches in construction safety. I J. Teizer & C. P. Leslie Schultz (red.), Proceedings of the 29thEG-ICE International Workshop on Intelligent Computing in Engineering (s. 408-417) https://doi.org/10.7146/aul.455.c231

Johansen, K. W., Schultz, C. & Teizer, J. (2025). Knowledge graph exploitation to enhance the usability of risk assessment in construction safety planning. Advanced Engineering Informatics, 65, Artikel 103305. https://doi.org/10.1016/j.aei.2025.103305

Johansen, P., Christensen, S., Neve, H. H. & Wandahl, S. (2021). Lean Renovation – a Case Study of Productivity, Flow, and Time Improvements. I L. F. Alarcon, V. A. Gonzalez, D. Murguia & X. Brioso (red.), IGLC 2021 - 29th Annual Conference of the International Group for Lean Construction - Lean Construction in Crisis Times: Responding to the Post-Pandemic AEC Industry Challenges (s. 839–848). Pontificia Universidad Católica del Perú. https://doi.org/10.24928/2021/0150

Jensen, S. R., Kirkegaard, P. H., Postiglione, G. & Strange, A. (2019). A tectonic aproach to energy renovation of dwellings: the case of Gellerup. I P. J. S. Cruz (red.), Structures and architecture: bridging the gap and crossing borders (s. 99-108). CRC Press. https://books.google.dk/books?id=mQSiDwAAQBAJ&pg=PA99&dq=%22A+tectonic+approach+to+energy+renovation+of+dwellings+-+The+case+of+Gellerup%22&hl=da&sa=X&ved=0ahUKEwiV5sToye7mAhVRLFAKHaE5CzgQ6AEIJzAA#v=onepage&q=%22A%20tectonic%20approach%20to%20energy%20renovation%20of%20dwellings%20-%20The%20case%20of%20Gellerup%22&f=false

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

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. I W. Desmet, B. Pluymers, D. Moens & J. del Fresno Zarza (red.), Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics (s. 4127-4141). KU Leuven, Departement Werktuigkunde.

Jensen, S. R. (2022). Architectural strategies for promoting well-being in sustainable renovation of social housing. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet. https://doi.org/10.7146/aulsps-e.484

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

Jahangir, M. F., Schultz, C. P. L. & Kamari, A. (2024). A review of drivers and barriers of Digital Twin adoption in building project development processes. Journal of Information Technology in Construction, 29, 141-178. https://doi.org/10.36680/j.itcon.2024.008

Jahangir, M. F., Kamari, A. & Schultz, C. P. L. (2024). Developing A Building Simulation Identity Card for Enhanced Safety and Collaboration in Emergency Evacuation Simulations. I M. Srećković, M. Kassem, R. Soman & A. Chassiakos (red.), Proceedings of the 2024 European Conference on Computing in Construction (s. 128-135) https://doi.org/10.35490/EC3.2024.199, https://doi.org/10.35490/EC3.2024.199

Jahangir, M. F., Kamari, A. & Schultz, C. P. L. (2025). Unified and interoperable digital twin models for emergency evacuation using building simulation identity cards. Automation in Construction, 175, Artikel 106225. https://doi.org/10.1016/j.autcon.2025.106225

Jahangir, M. F., Kamari, A. & Schultz, C. P. L. (2025). Integrating Building Simulation Identity Card and Dynamic Data Modelling for Non-Structural Components within a BIM-based Digital Twin Framework for Enhanced Emergency Evacuation in Complex Buildings. I Proceedings of Smart and Sustainable Built Environment 2025 (s. 176-185) https://isasbec.abc2.net/index.php/sasbe/article/view/2627

Jacobsen, E. L., Strange, N. S. & Teizer, J. (2021). Lean Construction in a Serious Game Using a Multiplayer Virtual Reality Environment. 55-64. Afhandling præsenteret på 29th Annual Conference of the International Group for Lean Construction (IGLC) - Lima, Peru - 2021, Lima, Peru. https://doi.org/10.24928/2021/0160

Jacobsen, E. L. & Teizer, J. (2021). Real-time LiDAR for Monitoring Construction Worker Presence Near Hazards and in Work Areas in a Virtual Reality Environment. I J. Abualdenien, A. Borrmann, L.-C. Ungureanu & T. Hartmann (red.), EG-ICE 2021 Workshop on Intelligent Computing in Engineering, Proceedings: Proceedings (s. 592-602). Universitätsverlag der TU Berlin. https://doi.org/10.14279/depositonce-12021

Jacobsen, E. L., Solberg, A., Golovina, O. & Teizer, J. (2022). Active personalized construction safety training using run-time data collection in physical and virtual reality work environments. Construction Innovation, 22(3), 531-553. https://doi.org/10.1108/CI-06-2021-0113

Jacobsen, E. L. & Teizer, J. (2022). Deep Learning in Construction: Review of Applications and Potential Avenues. Journal of Computing in Civil Engineering, 36(2), Artikel 03121001. https://doi.org/10.1061/(ASCE)CP.1943-5487.0001010

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

Jacobsen, E. L. & Teizer, J. (2022). Automating the Estimation of Productivity Metrics for Construction Workers Using Deep Learning and Kinematics. I J. Teizer & C. P. Leslie Schultz (red.), Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering (s. 418-427) https://doi.org/10.7146/aul.455.c232

Jacobsen, E. L., Teizer, J. & Wandahl, S. (2023). Work estimation of construction workers for productivity monitoring using kinematic data and deep learning. Automation in Construction, 152, Artikel 104932. https://doi.org/10.1016/j.autcon.2023.104932

Jacobsen, E. L., Teizer, J. & Wandahl, S. (2023). An On-body Sensor-based Visual Management Tool for Work Task Progress Monitoring. I The 30th EG-ICE: International Conference on Intelligent Computing in Engineering (s. 959-968) https://www.ucl.ac.uk/bartlett/construction/sites/bartlett_construction/files/an_on-body_sensor-based_visual_management_tool_for_work_task_progress_monitoring_0.pdf

Jacobsen, E. L., Wandahl, S. & Teizer, J. (2024). Forecasting Construction Labor Productivity Metrics. I Y. Turkan, J. Louis, F. Leite & S. Ergan (red.), Computing in Civil Engineering 2023: : Resilience, Safety, and Sustainability - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023 (s. 1022 - 1029). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784485248.122

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

Jacobsen, E. L. (2024). Automating the Monitoring of Construction Labor Operations Using Wearable Sensors and Machine Learning. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Irani, N., Tafili, M., Prada-Sarmiento, L. F. & Wichtmann, T. (2024). Breakage Indices for Constitutive Models to Track the Evolution of Particle Crushing Under Continuous Shearing. Geotechnical and Geological Engineering, 42(6), 5363-5373. https://doi.org/10.1007/s10706-024-02804-6

Irani, N., Prada-Sarmiento, L. F., Tafili, M., Salimi, M., Wichtmann, T. & Triantafyllidis, T. (2025). Assessment of Free Energy Functions for Sand. International Journal for Numerical and Analytical Methods in Geomechanics, 49(1), 132-150. https://doi.org/10.1002/nag.3852

Ioakim, A., Greś, S., Döhler, M., Prendergast, L. J. & Chatzi, E. (2025). An indirect data-driven model-updating framework to estimate soil–pile interaction parameters using output-only data. Engineering Structures, 328, Artikel 119699. https://doi.org/10.1016/j.engstruct.2025.119699

Hundborg Koss, H., Kim, T., Vestergaard Larsen, S. & Georgakis, C. T. (2021). 10 Years of Research and Applications in the Climatic Wind Tunnel. Danish Society for Structural Science and Engineering. Proceedings, 91(2).

Hudert, M. M. (2021). Connecting lines: Investigating the potential of ruled surface structures for circular construction. I C. Fivet, P. DÁcunto, M. Fernandez Ruiz & P. O. Ohlbrock (red.), Proceedings of the International fib Symposium on the Conceptual Design of Structures, 2021 (s. 469-476) https://doi.org/10.35789/fib.PROC.0055.2021.CDSymp.P057

Hudert, M. M., Aranha, C. A. & Fink, G. (2021). Experimental Investigation of Interlocking Birch Plywood Structures. Poster-session præsenteret på 2020 World Conference on Timber Engineering, Santiago, Chile.

Hudert, M. M., Elvebakken, M. F., Meagher, M., Mangliar, L., Zhang, X. & Esterle, L. (2022). Deep learning enhanced robotic fabrication of timber-to-timber connections with densified hardwood nails. I Proceedings of the IASS 2022 Symposium affiliated with APCS 2022 conference: Innovation - Sustainability - Legacy (s. 1740-1748)

Hudert, M. M. & Mangliar, L. (2023). A reconfigurable construction system based on hypar timber components. I IASS 2023 Melbourne Symposium: Design Competition (WG21) (s. 1-7). International Association for Shell and Spatial Structures (IASS).

Hudert, M., Lindemann, D., Mangliár, L. & Swann, A. (2024). Computing irregular hypar-based quad-mesh patterns for segmented timber shells. Computer-Aided Design, 177, Artikel 103772. https://doi.org/10.1016/j.cad.2024.103772

Huang, T., Rong, L., Zhang, G., Brandt, P., Bjerg, B. S., Pedersen, P. & Granath, S. W. L. (2021). A two-node mechanistic thermophysiological model for pigs reared in hot climates: Part 1: Physiological responses and model development. Biosystems Engineering, 212, 302-317. https://doi.org/10.1016/j.biosystemseng.2021.08.024

Huang, T., Rong, L., Zhang, G., Brandt, P., Bjerg, B. S., Pedersen, P. & Granath, S. W. L. (2021). A two-node mechanistic thermophysiological model for pigs reared in hot climates: Part 2: Model performance assessments. Biosystems Engineering, 212, 318-335. https://doi.org/10.1016/j.biosystemseng.2021.08.021

Huang, T., Rong, L. & Zhang, G. (2022). Investigating the feasibility of using computational fluid dynamics based response surface methodology and neural network to model the performance of the individualised ventilation in sow houses. Biosystems Engineering, 214, 138-151. https://doi.org/10.1016/j.biosystemseng.2021.12.015

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. I Proceedings of the 12nd International Symposium on Heating, Ventilation and Air Conditioning (ISHVAC 2021)

Huang, T., Zhang, G., Brandt, P., Bjerg, B., Pedersen, P. & Rong, L. (2022). An effective temperature derived from a mechanistic thermophysiological model for sows reared in hot climates. Biosystems Engineering, 220, 19-38. https://doi.org/10.1016/j.biosystemseng.2022.05.015

Huang, T., Zhang, G. & Rong, L. (2022). Conductive heat loss of sows in a ventilated environment identified by steady CFD-CHT modelling considering thermophysiological effects. Computers and Electronics in Agriculture, 199, Artikel 107142. https://doi.org/10.1016/j.compag.2022.107142

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

Hu, H., Ma, X., Zuo, J., She, A., Wei, Y., Yao, W. & Wu, M. (2025). High-volume fly ash mortar mixes containing waste dolomite powders: Early-age properties, hydration characteristics, microstructure, and sustainability assessment. Construction and Building Materials, 484, Artikel 141899. https://doi.org/10.1016/j.conbuildmat.2025.141899

Hu, H., Ma, X., Luo, L., Wei, Y., She, A., Yao, W. & Wu, M. (2025). Sustainable use of waste dolomite powder in mitigating alkali-silica reaction in cement mortars. Emergent Materials, 8(7), 5935-5959. https://doi.org/10.1007/s42247-025-01180-y

Hu, H., Ma, X., Zuo, J., Wei, Y., She, A., Yao, W. & Wu, M. (2026). Improvement of concrete performance through a ternary aggregate system: Microstructural insights into pore structure and ITZ characteristics. Cement and Concrete Composites, 166, Artikel 106388. https://doi.org/10.1016/j.cemconcomp.2025.106388

Hu, H., Ma, X., She, A., Wei, Y., Zuo, J., Yao, W. & Wu, M. (2026). Valorization of massive waste dolomite powders via a binary aggregate system in cement mortars: Multiscale analysis and sustainable insights. Sustainable Chemistry and Pharmacy, 51, Artikel 102417. https://doi.org/10.1016/j.scp.2026.102417

Hovmand, M., Andersen, L. V. & Abbiati, G. (2021). REAL-TIME HYBRID SIMULATION WITH NONLINEAR NUMERICAL SUBSTRUCTURES BASED ON STATE-SPACE MODELING. I The 17th World Conference on Earthquake Engineering Artikel 2b-0204 International Association for Earthquake Engineering. https://wcee.nicee.org/wcee/article/17WCEE/2b-0204.pdf

Holdt-Olesen, D. F., Holdt-Olesen, N. F., O. Jensen, C., Sørensen, K. K. & R. Lodahl, M. (2024). Strength Development And Shearing Behavior Of Cement Stabilized Gyttja. Afhandling præsenteret på 19th Nordic Geotechnical Meeting, Gothenburg, Sverige.

Højbjerg, K., Beatini, V. & Kirkegaard, P. H. (2021). Implementation of constructability in conceptual design. 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).

Høeg, C. E. & Zhang, Z. (2021). The influence of gyroscopic effects on dynamic responses of floating offshore wind turbines in idling and operational conditions. Ocean Engineering, 227, Artikel 108712. https://doi.org/10.1016/j.oceaneng.2021.108712

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

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