Research Brief: Prioritizing Resilient Retrofits
2017 was one of the most devastating U.S. hurricane seasons ever recorded. State Departments of Public Safety across the country list tens of thousands of destroyed homes and hundreds of thousands more damaged. Although the total economic impact is still being measured, estimates from NOAA’s Nationa...
| Main Authors: | , , |
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2021
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| Online Access: | https://hdl.handle.net/1721.1/130037 |
| _version_ | 1826205295067529216 |
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| author | Roxon, Jake Pellenq, Roland Ulm, Franz-Josef |
| author_facet | Roxon, Jake Pellenq, Roland Ulm, Franz-Josef |
| author_sort | Roxon, Jake |
| collection | MIT |
| description | 2017 was one of the most devastating U.S. hurricane seasons ever recorded. State Departments of Public Safety across the country list tens of thousands of destroyed homes and hundreds of thousands more damaged. Although the total economic impact is still being measured, estimates from NOAA’s National Centers for Environmental Information place damage costs for weather and climate related disaster events at over $300B, with hurricane-related costs accounting for more than $200B of that total. While it’s true that rebuilding infrastructure to be more resilient will reduce the risk of future damage, it is not feasible to rebuild entire cities. It is possible, however, to identify the specific buildings in cities that are most vulnerable to failure as a result of intensified wind loads and to make those buildings much more resistant to hurricane damage through already well-known hurricane-proof retrofitting techniques. In this brief we examine how additional long-range city texture parameters can be used to create urban models that enhance our previously established computational fluid dynamics (CFD) methods. |
| first_indexed | 2024-09-23T13:10:45Z |
| id | mit-1721.1/130037 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T13:10:45Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | mit-1721.1/1300372021-03-03T03:16:59Z Research Brief: Prioritizing Resilient Retrofits Roxon, Jake Pellenq, Roland Ulm, Franz-Josef Retrofits Hazards Resilience Hurricanes Buildings 2017 was one of the most devastating U.S. hurricane seasons ever recorded. State Departments of Public Safety across the country list tens of thousands of destroyed homes and hundreds of thousands more damaged. Although the total economic impact is still being measured, estimates from NOAA’s National Centers for Environmental Information place damage costs for weather and climate related disaster events at over $300B, with hurricane-related costs accounting for more than $200B of that total. While it’s true that rebuilding infrastructure to be more resilient will reduce the risk of future damage, it is not feasible to rebuild entire cities. It is possible, however, to identify the specific buildings in cities that are most vulnerable to failure as a result of intensified wind loads and to make those buildings much more resistant to hurricane damage through already well-known hurricane-proof retrofitting techniques. In this brief we examine how additional long-range city texture parameters can be used to create urban models that enhance our previously established computational fluid dynamics (CFD) methods. 2021-03-02T15:08:59Z 2021-03-02T15:08:59Z 2018-02 https://hdl.handle.net/1721.1/130037 MIT CSHub Research Brief; Volume 2018, Issue 2 application/pdf |
| spellingShingle | Retrofits Hazards Resilience Hurricanes Buildings Roxon, Jake Pellenq, Roland Ulm, Franz-Josef Research Brief: Prioritizing Resilient Retrofits |
| title | Research Brief: Prioritizing Resilient Retrofits |
| title_full | Research Brief: Prioritizing Resilient Retrofits |
| title_fullStr | Research Brief: Prioritizing Resilient Retrofits |
| title_full_unstemmed | Research Brief: Prioritizing Resilient Retrofits |
| title_short | Research Brief: Prioritizing Resilient Retrofits |
| title_sort | research brief prioritizing resilient retrofits |
| topic | Retrofits Hazards Resilience Hurricanes Buildings |
| url | https://hdl.handle.net/1721.1/130037 |
| work_keys_str_mv | AT roxonjake researchbriefprioritizingresilientretrofits AT pellenqroland researchbriefprioritizingresilientretrofits AT ulmfranzjosef researchbriefprioritizingresilientretrofits |