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Daniel Honfi

Researcher at Research Institutes of Sweden

Publications -  83
Citations -  752

Daniel Honfi is an academic researcher from Research Institutes of Sweden. The author has contributed to research in topics: Resilience (network) & Critical infrastructure. The author has an hindex of 11, co-authored 76 publications receiving 470 citations. Previous affiliations of Daniel Honfi include SP Technical Research Institute of Sweden & Lund University.

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Performance of structural glass facades under extreme loads – Design methods, existing research, current issues and trends

TL;DR: A review of the state of art on analysis and design methods in use for glass facades, with careful consideration for extreme loading configurations, including natural events, such as seismic events, extreme wind or other climatic exposures, and man-made threats, i.e. blast loads and fire.
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A review of the potential impacts of climate change on the safety and performance of bridges

TL;DR: An overabundance of evidence, both observational and from model projections, indicate that changes to the climate system are taking place at unprecedented rates as mentioned in this paper, although the magnitudes of these ch...
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Bridges in a changing climate: a study of the potential impacts of climate change on bridges and their possible adaptations

TL;DR: In this paper, the authors consider the different ways in which potential climate change scenarios can affect the safety and performance of infrastructures and propose a framework to account for the different effects of climate change on infrastructure.
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Behaviour of monolithic and laminated glass exposed to radiant heating

TL;DR: In this paper, a numerical heat transfer model was developed based on the experimental results and that is able to determine the evolution of the temperature profile as a result of a given incident heat flux.
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Assessment of road traffic resilience assuming stochastic user behaviour

TL;DR: A new approach to assess the resilience of a traffic network when suffering from a disruptive event is presented, considering the stochastic behaviour of the users, where their decisions will be biased by their perception of the traffic conditions rather than by the actual conditions.