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 for example journal articles, books, reports etc.

Under PhD dissertations you will find the department's published PhD dissertations.

Publication list

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Kamari, A., Schultz, C. P. L. & Petersen, S. (Eds.) (2022). Digital Sustainability in Building Design: Special issue. Sustainability https://www.mdpi.com/journal/sustainability/special_issues/digital_building

Kamari, A. & Schultz, C. P. L. (2023). How can LCA inform early-stage design to meet Danish regulations? The sustainability opportunity metric. In E. Hjelseth, S. F. Sujan & R. J Scherer (Eds.), ECPPM 2022 - eWork and eBusiness in Architecture, Engineering and Construction 2022: Proceedings of the 14th European Conference on Product and Process Modelling (ECPPM 2022), September 14-16, 2022, Trondheim, Norway (pp. 27-34). CRC Press. https://doi.org/10.1201/9781003354222-4

Kamari, A. (2023). From Decision Theory to Informed Decision-Making in the Design of Sustainable High-Performance Buildings. Sustainability, 15(22), Article 15784. https://doi.org/10.3390/su152215784

Kamari, A. (2024, Oct 30). Reflections on the Integration of the New Generation of AI/GAI-powered Digital Tools in Architectural Design Practice. LinkedIn. https://www.linkedin.com/pulse/reflections-integration-new-generation-aigai-powered-digital-kamari-pfngf/?trackingId=hX0s%2BqMITDmktl616vquOg%3D%3D

Kamari, A. & Schultz, C. P. L. (2024). Streamlining BIM-integrated LCA for rapid-iterative-informed-early stage upfront carbon assessment by architects and engineers. Architecture, Structures and Construction, 5, Article 5. https://doi.org/10.1007/s44150-024-00122-2

Kabel, T., Kongsmark Andersen, M. & Hagsten, L. G. (2021). A Model Study of Column Stability Based on Residual Stress Theory. Bygningsstatiske Meddelelser, 89(1-2), 1-43. Article 1. https://www.dsby.dk/bsm

Kabel, T., Kristoffersen, J. C., Desai, N. & Georgakis, C. T. (2024). Comparison of Three Wave Sensors through a Full-Scale Experimental Campaign. In Proceedings of the Fourty-third (2024) International Ocean and Polar Engineering Conference: ISOPE2024 (pp. 2552-2558). Article ISOPE-I-24-362. https://onepetro.org/ISOPEIOPEC/proceedings/ISOPE24/All-ISOPE24/ISOPE-I-24-362/546751

Johansen, P., Christensen, S., Neve, H. H. & Wandahl, S. (2021). Lean Renovation – a Case Study of Productivity, Flow, and Time Improvements. In L. F. Alarcon, V. A. Gonzalez, D. Murguia & X. Brioso (Eds.), 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 (pp. 839–848). Pontificia Universidad Católica del Perú. https://doi.org/10.24928/2021/0150

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

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. In C. Feng, T. Linner & I. Brilakis (Eds.), Proceedings of the 38th International Symposium on Automation and Robotics in Construction, ISARC 2021 (pp. 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. In J. Teizer & C. P. Leslie Schultz (Eds.), Proceedings of the 29thEG-ICE International Workshop on Intelligent Computing in Engineering (pp. 408-417) https://ebooks.au.dk/aul/catalog/view/455/311/1837-3

Jensen, S. R., Kirkegaard, P. H., Postiglione, G. & Strange, A. (2019). A tectonic aproach to energy renovation of dwellings: the case of Gellerup. In P. J. S. Cruz (Ed.), Structures and architecture: bridging the gap and crossing borders (pp. 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, S. R. (2022). Architectural strategies for promoting well-being in sustainable renovation of social housing. Århus Universitet.

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.

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

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. In M. Srećković, M. Kassem, R. Soman & A. Chassiakos (Eds.), Proceedings of the 2024 European Conference on Computing in Construction (pp. 128-135) https://doi.org/10.35490/EC3.2024.199

Jacobsen, E. L., Strange, N. S. & Teizer, J. (2021). Lean Construction in a Serious Game Using a Multiplayer Virtual Reality Environment. 55-64. Paper presented at 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. In J. Abualdenien, A. Borrmann, L.-C. Ungureanu & T. Hartmann (Eds.), EG-ICE 2021 Workshop on Intelligent Computing in Engineering, Proceedings: Proceedings (pp. 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), Article 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. 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

Jacobsen, E. L. & Teizer, J. (2022). Automating the Estimation of Productivity Metrics for Construction Workers Using Deep Learning and Kinematics. In J. Teizer & C. P. Leslie Schultz (Eds.), Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering (pp. 418-427) https://ebooks.au.dk/aul/catalog/view/455/311/1837-3

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, Article 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. In The 30th EG-ICE: International Conference on Intelligent Computing in Engineering (pp. 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. (2024). Automating the Monitoring of Construction Labor Operations Using Wearable Sensors and Machine Learning. Aarhus University.

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

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

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

Hudert, M. M. (2021). Connecting lines: Investigating the potential of ruled surface structures for circular construction. In C. Fivet, P. DÁcunto, M. Fernandez Ruiz & P. O. Ohlbrock (Eds.), Proceedings of the International fib Symposium on the Conceptual Design of Structures, 2021 (pp. 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 presented at 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. In Proceedings of the IASS 2022 Symposium affiliated with APCS 2022 conference: Innovation - Sustainability - Legacy (pp. 1740-1748)

Hudert, M. M. & Mangliar, L. (2023). A reconfigurable construction system based on hypar timber components. In IASS 2023 Melbourne Symposium: Design Competition (WG21) (pp. 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, Article 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. In 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, Article 107142. https://doi.org/10.1016/j.compag.2022.107142

Huang, T. (2022). Optimal cooling for high productive sows in hot climates: Modelling of heat transfer processes from sows to ambient environment and mitigation techniques avoiding heat stress. Århus Universitet.

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. Paper presented at 19th Nordic Geotechnical Meeting, Gothenburg, Sweden.

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

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, Article 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, Article 112952. https://doi.org/10.1016/j.oceaneng.2022.112952

Høeg, C. E. (2023). Efficient time-domain modeling, load evaluation and control of floating offshore wind turbines. Århus Universitet.

Høeg, C. E. & Zhang, Z. (2023). A semi-analytical hydrodynamic model for floating offshore wind turbines (FOWT) with application to a FOWT heave plate tuned mass damper. Ocean Engineering, 287, Article 115756. https://doi.org/10.1016/j.oceaneng.2023.115756

Heydari, A., Mohammadi, A., Mohammadi, A. & Tosun, A. (2024). Flow Pattern Investigation of Savonius Cross-flow Hydrokinetic Turbine Using CFD URANS Turbulence Models. In H. El Naggar, J. Barros & P. Cachim (Eds.), 9th World Congress on Civil, Structural, and Environmental Engineering, CSEE 2024 Avestia Publishing. https://doi.org/10.11159/iceptp24.200

Displaying results 301 to 350 out of 536

PhD dissertations

At the Department of Civil and Architectural Engineering, PhD dissertations are published via Aarhus University Library's/State and University Library's online E-books platform that is open access. You can find the published dissertations by following the link below.

PhD dissertations at the Department of Civil and Architectural Engineering

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