Author
Daniel Honfi
Other affiliations: SP Technical Research Institute of Sweden, Lund University
Bio: 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.
Papers
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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.
124 citations
04 Jul 2021
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...
Abstract: An overabundance of evidence, both observational and from model projections, indicate that changes to the climate system are taking place at unprecedented rates. Although the magnitudes of these ch...
50 citations
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.
Abstract: Climate change may have multifaceted impacts on the safety and performance of infrastructure. Accounting for the different ways in which potential climate change scenarios can affect our infrastruc...
47 citations
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.
39 citations
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.
38 citations
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2,730 citations
TL;DR: An in-depth review of the collapse typologies is proposed, with emphasis on the current techniques to study collapse propagation, i.e., numerical, experimental and analytical.
124 citations
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.
124 citations
TL;DR: In this paper, the authors proposed that the increasing transport demand increases the congestion in railway networks and critical infrastructure networks, such as transport and power networks, are essential for the functioning of a society and economy.
97 citations
01 May 2008
TL;DR: In this article, the authors propose to use the output of a single climate model as an input for infrastructure design, instead of optimizing based on the climate conditions projected by models, therefore, future infrastructure should be made more robust to possible changes in climate conditions.
Abstract: Many decisions concerning long-lived investments already need to take into account climate change. But doing so is not easy for at least two reasons. First, due to the rate of climate change, new infrastructure will have to be able to cope with a large range of changing climate conditions, which will make design more difficult and construction more expensive. Second, uncertainty in future climate makes it impossible to directly use the output of a single climate model as an input for infrastructure design, and there are good reasons to think that the needed climate information will not be available soon. Instead of optimizing based on the climate conditions projected by models, therefore, future infrastructure should be made more robust to possible changes in climate conditions. This aim implies that users of climate information must also change their practices and decision-making frameworks, for instance by adapting the uncertainty-management methods they currently apply to exchange rates or RD (ii) favouring reversible and flexible options; (iii) buying “safety margins” in new investments; (iv) promoting soft adaptation strategies, including long-term prospective; and (v) reducing decision time horizons. Moreover, it is essential to consider both negative and positive side-effects and externalities of adaptation measures. Adaptation–mitigation interactions also call for integrated design and assessment of adaptation and mitigation policies, which are often developed by distinct communities.
96 citations