Projects per year
Organisation profile
Organisation profile
Head of research group: John Dalsgaard Sørensen
Research focus
- Management and governance of risk, resilience, safety, and sustainability of systems in the context of the built environment
- Probabilistic modelling of structures and systems (fusion of physical understanding and data)
- Bayesian decision analysis and value of information analysis
- Reliability and risk-based design and integrity management of structures
- Probabilistic Digital Twins
- Wind energy, infrastructure systems, wave energy facilities, public spaces
Societal challenges
Population growth, urbanization and increasing demands for welfare at global scale, coupled with scarcity of resources, global climate change and derived consequences of this calls for radical and immediate changes of the present best practices for designing, constructing and maintaining structures and buildings. In the mid to long term, this challenge implies decoupling welfare and resource consumption; in the short term, the challenge is to immediately prepare to adapt to the effects of a changing climate and take adequate actions to mitigate further damages to the quality of the environment. The research group on Risk, Resilience, Safety, and Sustainability of Systems addresses societal challenges in which technical, social and environmental factors interact in shaping the built environment with the aim to provide a rational basis for choosing among competing decision alternatives and for formulating standards and codes that align best available knowledge to best practices.
The need for new knowledge
Because of the systemic character of the societal challenges, fundamental new knowledge is needed on understanding links among physical phenomena that in our knowledge tradition and practical applications have been studied and governed in the isolation of individual disciplines and sectors, often limiting systems understanding to simple direct cause-effect relations.
We also need new knowledge mapping indirect dependencies in systems and their representation in the context of decision making are needed. Such new understanding will account for not only the technical aspects of the performances of structures and buildings, but also human perception, cognition and behavior, as well as indirect consequences related to service provisions, environmental impacts and security.
It is also important to establish criteria for optimality and acceptability of decisions involving trade-offs between safety, resilience and sustainability. The same goes for enhancing rationales (including standardization) for design, maintenance and protection of structures and buildings – in their context of climate change mitigation and adaptation efforts;
We must also further develop both basic and applied research with respect to methods and technologies that contribute to a seamless information and context consistent fusion of physical knowledge and Big Data as well as efficiency of probabilistic modeling and analysis of complex structures and systems.
Research efforts
In pursuit of establishing the required new knowledge we take basis in normative Bayesian decision analysis - a structured decision making approach - in conjunction with information theory, Bayesian probability theory and statistics, systems sciences, and cognitive sciences. We combine this theoretical basis with deep knowledge on systems involving structures, including aspects of safety, risk, reliability, resilience, and sustainability as well as state-of-the-art knowledge on structural mechanics, material performances and the exposure environment of structures and buildings.
Cooperation
The research group collaborates with internationally leading universities, research institutes, pre-normative and normative committees, engineering associations, industry, public authorities, and NGOs.
Fingerprint
Collaborations from the last five years
Profiles
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Akinyemi Olugbenga Akinsanya
- The Faculty of Engineering and Science - PhD Student
- Department of the Built Environment - PhD Student
- Division of Structures, Geotechnics and Risk - PhD Student
- Risk, Resilience, Safety, and Sustainability of Systems Research Group - PhD Student
Person: External
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Juan Gonzalo Sepúlveda Astudillo
- The Faculty of Engineering and Science - Research assistant
- Department of the Built Environment - Research assistant
- Division of Structures, Geotechnics and Risk - Research assistant
- Risk, Resilience, Safety, and Sustainability of Systems Research Group - Research assistant
Person: VIP
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Thomas Serup Bull
- The Faculty of Engineering and Science - Business PhD
- Department of the Built Environment - Business PhD
- Division of Structures, Geotechnics and Risk - Business PhD
- Risk, Resilience, Safety, and Sustainability of Systems Research Group - Business PhD
Person: External
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PRO-SLIDE: Probabilistic decision framework for Resilience assessment of Offshore energy infrastructures subjected to seismic Submarine landsLIDE hazard
Lashgari, A., Nielsen, J. S., Barari, A. & Leung, A. K.
01/12/2023 → …
Project: Research
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Sustainable upgrading of the load carrying capacity of concrete structures
Dahl Schiøttz Damsgaard, K., Schmidt, J. W., Engelund, S., Sørensen, J. D. & Linneberg, P.
01/02/2023 → 31/01/2026
Project: PhD Project
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Erhvervsph.d.: Risk and Resilience lnformed lntegrity Management for Wind Turbine Farms
01/01/2022 → 31/12/2024
Project: PhD Project
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Assessment of a Technique for Faster Time Integration in Application to Seismic Wave Propagation Analysis
Lashgari, A., Soroushian, A. & Zafarani, H., Mar 2024, (E-pub ahead of print) In: Wave Motion. 103320.Research output: Contribution to journal › Journal article › Research › peer-review
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Displacement and damage analysis of earth dams during the 2023 Turkiye earthquake sequence
Lashgari, A. & Moss, R. E. S., 2024, (E-pub ahead of print) In: Earthquake Spectra.Research output: Contribution to journal › Journal article › Research › peer-review
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Optimizing utilization strategy of real-time SHM information for structural integrity management based on preposterior decision analysis
Zhang, W. H., Qin, J., Lu, D. G., Liu, M. & Faber, M. H., 1 Apr 2024, In: Ocean Engineering. 297, 14 p., 117044.Research output: Contribution to journal › Journal article › Research › peer-review
Datasets
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Consistent and Coherent Treatment of Uncertainties and Dependencies in Fatigue Crack Growth Calculations Using Multi-Level Bayesian Models
Di Francesco, D. (Creator), Chryssanthoplous, M. (Creator), Faber, M. H. (Creator) & Bharadwaj, U. (Creator), Mendeley Data, 1 Jun 2020
DOI: 10.17632/5c5979pwkr.1, https://data.mendeley.com/datasets/5c5979pwkr
Dataset
Prizes
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Teacher of the Year 2023 at the Faculty of Engineering and Science
Nielsen, Jannie Sønderkær (Recipient), 6 Oct 2023
Prize: Educational prizes
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Teacher of the Year 2023 at the Study Committee of Civil Engineering
Nielsen, Jannie Sønderkær (Recipient), 23 Jun 2023
Prize: Educational prizes
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Activities
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Soil Dynamics and Earthquake Engineering (Journal)
Ali Lashgari (Peer reviewer)
2024Activity: Editorial work and peer review › Peer review of manuscripts › Research
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Earthquake Engineering and Structural Dynamics (Journal)
Ali Lashgari (Peer reviewer)
2024Activity: Editorial work and peer review › Peer review of manuscripts › Research
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Engineering Geology (Journal)
Ali Lashgari (Peer reviewer)
2024Activity: Editorial work and peer review › Peer review of manuscripts › Research
Press/Media
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Det er vigtigere at renovere end at bygge nyt
25/09/2023
1 item of Media coverage
Press/Media: Press / Media
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De "reddede" et hus fra nedrivning - men tendensen går den modsatte vej
19/08/2023 → 20/08/2023
2 items of Media coverage
Press/Media: Press / Media