Publikationer

Under publikationsliste finder du en samlet liste over de publikationer, som er lavet af medarbejdere ved Institut for Byggeri og Bygningsdesign for eksempel tidsskriftsartikler, bøger, rapporter m.v.

Instituttet udgiver også tekniske rapporter, som du kan læse mere om under Tekniske rapporter.

Under ph.d.-afhandlinger finder du instituttets publicerede ph.d.-afhandlinger.

Publikationsliste

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Knudsen, M. D., Georges, L., Skeie, K. S. & Petersen, S. (2021). Experimental test of a black-box economic model predictive control for residential space heating. Applied Energy, 298, [117227]. https://doi.org/10.1016/j.apenergy.2021.117227

Kania, J. G., Sørensen, K. K. & Fellenius, B. H. (2020). Driven piles installed in soft soils subjected to vertical and lateral soil movement. Paper præsenteret ved GeoVirtual 2020, Canada.

Kania, J. G., Sørensen, K. K. & Fellenius, B. H. (2021). Shear stress between a soft soil and various pile materials. Paper præsenteret ved 74th Canadian Geotechnical Conference, Niagara, Canada.

Kan, L., Wang, F., Yafeng, Z., Wei, Y. & Wu, M. (2022). An exploratory study on using red mud waste as a replacement for fly ash to prepare Engineered Cementitious Composites. Construction and Building Materials, 342(Part A), [127900]. https://doi.org/10.1016/j.conbuildmat.2022.127900

Kamari, A., Jensen, S. R., Petersen, S. & Kirkegaard, P. H. (2021). Sustainability Key Performance Indicators’ (KPIs) assessment and visualization aimed at architects in (early) renovation design processes. Nordic Journal of Architectural Research, 33(2), 41-80. [2]. http://arkitekturforskning.net/na/article/view/1237

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. I Proceedings of the 38th International Conference of CIB W78, Luxembourg, 13-15 October: Joint Conference CIB W78 - LDAC 2021 (s. 638-649). [64]. http://itc.scix.net/paper/w78-2021-paper-064

Kamari, A. & Schultz, C. P. L. (2022). A combined principal component analysis and clustering approach for exploring enormous renovation design spaces. Journal of Building Engineering , 48, [103971]. https://doi.org/10.1016/j.jobe.2021.103971

Kamari, A., Kotula, B. M. & Schultz, C. P. L. (2022). A BIM-based LCA tool for sustainable building design during the early design stage. Smart and Sustainable Built Environment, 11(2), 217-244. https://doi.org/10.1108/SASBE-09-2021-0157

Kamari, A. & Jensen, S. R. (red.) (2022). Special Issue "Bioclimatic Architecture for Building Renovation". Buildings https://www.mdpi.com/journal/buildings/special_issues/bioclimatic_renovation

Kamari, A. (2023). Systems-Oriented Building Design (S.O.B.D.): A new way of storytelling on the design of high-performance buildings for sustainable tomorrow. I PLEA 2022: Proceedings of the International Conference on Passive and Low Energy Architecture (Bind 2, s. 872-877)

Kamari, A., Schultz, C. P. L. & Petersen, S. (red.) (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. I E. Hjelseth, S. F. Sujan & R. J Scherer (red.), 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. (Bind 1, s. 27-34). CRC Press. https://doi.org/10.1201/9781003354222-427, https://doi.org/10.1201/9781003354222-4

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. [1]. https://www.dsby.dk/bsm

Johansen, K. W., Nielsen, R. O., Schultz, C. P. L. & Teizer, J. (2020). Non-monotonic Reasoning For Automated Progress Analysis Of Construction Operations. I N. Dawood , F. Pour Rahimian, S. Seyedzadeh & M. Sheikhkhoshkar (red.), Enabling the Development and Implementation of Digital Twins: Proceedings of the 20th International Conference on Construction Applications of Virtual Reality (s. 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. I C. Feng, T. Linner & I. Brilakis (red.), Proceedings of the 38th ISARC (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://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. 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, S. R. (2022). Architectural strategies for promoting well-being in sustainable renovation of social housing. Aarhus Universitet.

Jacobsen, E. L., Strange, N. S. & Teizer, J. (2021). Lean Construction in a Serious Game Using a Multiplayer Virtual Reality Environment. 55. Paper præsenteret ved 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 (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), [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://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, [104932]. https://doi.org/10.1016/j.autcon.2023.104932

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, [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, [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. Aarhus Universitet.

Hundborg Koss, H., Kim, T., Vestergaard Larsen, S. & Georgakis, C. T. (2021). 10 Years of Research and Applications in the Climatic Wind Tunnel. (2 udg.) 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. I C. Fivet, P. DÁcunto, M. Fernandez Ruiz & P. O. Ohlbrock (red.), The proceedings of the International fib Symposium on 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 ved 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)

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, [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. Aarhus Universitet.

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, Nr. 2020-0096886, 15 s., jul. 05, 2022.

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, [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 præsenteret ved CLIMA 2022: the 14th REHVA HVAC World Congress, Rotterdam, Holland. https://doi.org/0.34641/clima.2022.196

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. I C. Feng, T. Linner & I. Brilakis (red.), 2021 Proceedings of the 38th ISARC (s. 621-628) https://doi.org/10.22260/ISARC2021/0084

Harichandran, A. (2019). Determination of Automated Construction Operations from Sensor Data Using Machine Learning. I 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 fra Smart Materials, Smart Construction, Smart Structures Workshop, Perth, Australien.

Harichandran, A. & Teizer, J. (2022). Automated Recognition of Hand Gestures for Crane Rigging using Data Gloves in Virtual Reality. I Proceedings of the 39th International Symposium on Automation and Robotics in Construction, ISARC 2022 (s. 304-311). International Association for Automation and Robotics in Construction (IAARC). Proceedings of the International Symposium on Automation and Robotics in Construction Bind 2022 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. I Proceedings of the 29^th EG-ICE International Workshop on Intelligent Computing in Engineering (s. 439-448) https://doi.org/10.7146/aul.455.c234

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Revideret 06.09.2022

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