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Environmental risk assessment and mitigation on Cultural Heritage assets in Central Asia

Funder: Croatian Science Foundation (CSF)Project code: DOK-2020-01-6812
Funder Contribution: 542,480 HRK

Environmental risk assessment and mitigation on Cultural Heritage assets in Central Asia

Description

The project "Environmental Risk Assessment and Mitigation on Cultural Heritage Assets in Central Asia (609574-EPP-1-2019-1-IT-EPPKA2-CBHE-JP)" (short name: ERAMCA) aims, by connecting the knowledge of partner universities in Europe, to propose solutions for assessing and mitigating multiple environmental impacts on historical structures and to develop a theoretical framework for advancing the education of researchers in Central Asia. This project’s research proposal seeks to enhance understanding of the effectiveness of historical masonry arch bridges as key heritage structures, to develop new and more reliable empirical procedures for their assessment, and to identify the most suitable measures for their restoration and monitoring through a comprehensive integrated, i.e., BIM approach. The developed empirical procedure will be open to enhancement with examples of environmental impacts from other regions and with different typologies of masonry arch bridges in Croatia and globally. The core hypothesis is that knowledge transfer regarding environmental impacts on the response of masonry arch bridges as part of Europe’s built heritage to Central Asia is feasible through research and educational methods and procedures. The primary goal of the research for the doctoral dissertation, tentatively titled "Effectiveness of Historical Masonry Arch Bridges under Multi-Hazard Environmental Exposure," is to develop methods and procedures for the assessment, rehabilitation (strengthening), and monitoring of bridge conditions. These methods aim to enhance the effectiveness of masonry arch bridges in response to multi-hazard environmental impacts, using fragility functionality curves, which are currently unavailable. The curves available within the SYNER-G project, which includes a review of methods available to date, primarily address damage classifications.

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