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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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., Teizer, J., Wandahl, S. & Brilakis, I. (2024). Probabilistic forecasting of construction labor productivity metrics. Journal of Information Technology in Construction, 29, 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.

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

Herskin, M. S., Kobek-Kjeldager, C., Kaiser, M. Ø., Thodberg, K., Jensen, L. D., Chen, G., Zhang, G., Rong, L. & Foldager, L., (2022). Krav til indvendig højde ved transport af smågrise, No. 2020-0096886, 15 p., Jul 05, 2022.

Henriksen, T., Lo, S., Knaack, U. & Kirkegaard, P. H. (2023). Developing and testing a novel manufacturing method for complex geometry thin-walled GFRC panels by fabricating a 10m high, self-supporting GFRC hyperbolic shell. Architectural Engineering and Design Management, 19(5), 480-510. Article 2096557. https://doi.org/10.1080/17452007.2022.2096557

Hearps, A., Zhang, Z. & Alexandersen, S. (2002). Evaluation of the portable Cepheid SmartCycler real-time PCR machine for the rapid diagnosis of foot-and-mouth disease. Veterinary Record, 150(20), 625-628. https://doi.org/10.1136/vr.150.20.625

Hauge Broholt, T. (2023). Towards Model Predictive Control of Residential Space Heating in Practice. Århus Universitet.

Hauge Broholt, T., Dahl Knudsen, M. & Petersen, S. (2022). The robustness of black and grey-box models of thermal building behaviour against weather changes. Energy and Buildings, 275, Article 112460. https://doi.org/10.1016/j.enbuild.2022.112460

Hauge Broholt, T., Christensen, L. & Petersen, S. (2022). Effect of measurement resolution on data-based models of thermodynamic behaviour of buildings. Paper presented at CLIMA 2022: the 14th REHVA HVAC World Congress, Rotterdam, Netherlands. https://doi.org/0.34641/clima.2022.196

Hasan, N. M. S., Shaurdho, N. M. N., Sobuz, M. H. R., Meraz, M. M., Islam, M. S. & Miah, M. J. (2023). Utilization of Waste Glass Cullet as Partial Substitutions of Coarse Aggregate to Produce Eco-Friendly Concrete: Role of Metakaolin as Cement Replacement. Sustainability, 15(14), Article 11254. https://doi.org/10.3390/su151411254

Hasan, N. M. S., Shaurdho, N. M. N., Sobuz, M. H. R., Meraz, M. M., Basit, M. A., Paul, S. C. & Miah, M. J. (2023). Rheological, Mechanical, and Micro-Structural Property Assessment of Eco-Friendly Concrete Reinforced with Waste Areca Nut Husk Fiber. Sustainability (Switzerland), 15(19), Article 14131. https://doi.org/10.3390/su151914131

Hasan, N. M. S., Shaurdho, N. M. N., Basit, M. A., Paul, S. C., Sobuz, M. H. R. & Miah, M. J. (2023). Assessment of the rheological and mechanical properties of palmyra fruit mesocarp fibre reinforced eco-friendly concrete. Construction and Building Materials, 407, Article 133530. https://doi.org/10.1016/j.conbuildmat.2023.133530

Harichandran, A., Johansen, K. W., Jacobsen, E. L. & Teizer, J. (2021). A Conceptual Framework for Construction Safety Training using Dynamic Virtual Reality Games and Digital Twins. In C. Feng, T. Linner & I. Brilakis (Eds.), Proceedings of the 38th International Symposium on Automation and Robotics in Construction, ISARC 2021 (pp. 621-628) https://doi.org/10.22260/ISARC2021/0084

Harichandran, A. (2019). Determination of Automated Construction Operations from Sensor Data Using Machine Learning. In 4th International Conference on Civil and Building Engineering Informatics (ICCBEI 2019) https://www.academia.edu/41057396/Determination_of_Automated_Construction_Operations_from_Sensor_Data_Using_Machine_Learning

Harichandran, A. (2019). Automated Top-down Construction. Abstract from Smart Materials, Smart Construction, Smart Structures Workshop, Perth, Australia.

Harichandran, A. & Teizer, J. (2022). Automated Recognition of Hand Gestures for Crane Rigging using Data Gloves in Virtual Reality. In Proceedings of the 39th International Symposium on Automation and Robotics in Construction, ISARC 2022 (pp. 304-311). International Association for Automation and Robotics in Construction (IAARC). https://doi.org/10.22260/ISARC2022/0043

Harichandran, A. & Teizer, J. (2022). A Critical Review on Methods for the Assessment of Trainees' Performance in Virtual Reality-based Construction Safety Training. In Proceedings of the 29^th EG-ICE International Workshop on Intelligent Computing in Engineering (pp. 439-448) https://doi.org/10.7146/aul.455.c234

Harichandran, A., Wandahl, S. & Andersen, L. V. (2023). State of the art Technologies that Facilitate Transition of Built Environment into Circular Economy. In B. Garcia de Soto, V. Gonzalez & I. Brilakis (Eds.), Proceedings of the 40th International Symposium on Automation and Robotics in Construction (pp. 730-737). International Association on Automation and Robotics in Construction (IAARC). https://doi.org/10.22260/ISARC2023/0101

Harichandran, A., Raphael, B. & Mukherjee, A. (2023). Relevance of deep sequence models for recognising automated construction activities: a case study on a low-rise construction system. Journal of Information Technology in Construction, 28, 458-481. https://doi.org/10.36680/j.itcon.2023.023

Hansen, J. F., Juul, M. Ø. Ø. & Orlowitz, E. (2022). Towards an automated OMA testing approach for modal feature extraction for wind turbine blades. 4619-4628.

Hansen, S. T., Thule, C., Gomes, C., Lausdahl, K. G., Madsen, F. P., Abbiati, G. & Larsen, P. G. (2024). Co-simulation at different levels of expertise with Maestro2. Journal of Systems and Software, 209, Article 111905. https://doi.org/10.1016/j.jss.2023.111905

Hamdan, M., Mirzaei, P. & Gillott, M. (2023). Life Cycle Cost Assessment and Retrofit in Community Scale: A Case Study of Jordan. E3S Web of Conferences, 396, Article 04012. https://doi.org/10.1051/e3sconf/202339604012

Hagsten, L. G. & Fisker, J. (2021). Capacity assessment of the Örnsköldsvik Bridge on the basis of plastic analysis. Bygningsstatiske Meddelelser, 91(1), 11-19. https://www.dsby.dk/media/dsbypdf/2021/BSM%2088%20-%20May%202021.pdf

Hagsten, L. G. & Fisker, J. (2021). Evaluering af eksisterende broers bæreevne. Trafik & Veje, 98(4), 4-6. http://moreinfo.addi.dk/2.11/more_info_get.php?lokalid=39064022&attachment_type=856_a&bibliotek=870971&source_id=870970&key=062adfd2b44aba3b2791

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.

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).

Displaying results 351 to 400 out of 569

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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