Earthquakes kill, but their aftershocks can cause the rapid collapse of
buildings left standing in the aftermath of the initial quake. Research
offers a new approach to predicting which buildings might be most
susceptible to potentially devastating collapse due to the
ground-shaking aftershock tremors.
Negar Nazari and John W. van de Lindt of the Department of Civil and
Environmental Engineering, at Colorado State University in Fort Collins
and Yue Li of Michigan Technological University, in Houghton, USA, point
out that it is relatively obvious that buildings that survive a main
shock will be at varying degrees of risk of collapse as aftershocks
travel through the earthquake zone. Aftershocks are usually several
orders of magnitude less intense than the primary earthquake, but can
nevertheless have high ground motion intensity, last longer and occur at
different vibration frequencies. In addition, changes in the structure
of a building and its foundations, whether crippling or not, mean that
the different energy content of the ground acceleration can during an
aftershock further complicates any analysis. This adds up to a very
difficult risk assessment for surviving buildings.
In order to compute the risk of collapse, the probability, for building damaged by a main shock, the team has introduced a logical method based on two key earthquake variables: magnitude and site-to-source distance. They have carried out tests using different site-to-source distances with an incremental dynamic analysis based on simulated ground motions caused by the main shock and aftershocks and applied this to a computer modeled, two-storey, timber-frame building in a hypothetical town in California relatively close to a geological fault line, as a proof of principle. Full-scale structural data was available from an actual building.
The team found that collapse probability increased if there were a sequence of aftershocks following a main shock just 10 kilometers distant from the building. Stronger aftershocks mean greater risk that correlates with the actual magnitude of the shock. As one might also expect if the site-to-source distance is greater, risk is lower. Overall, however, the analysis allows the team to quantify this risk based on the two variables, distance and aftershock magnitude.
In order to compute the risk of collapse, the probability, for building damaged by a main shock, the team has introduced a logical method based on two key earthquake variables: magnitude and site-to-source distance. They have carried out tests using different site-to-source distances with an incremental dynamic analysis based on simulated ground motions caused by the main shock and aftershocks and applied this to a computer modeled, two-storey, timber-frame building in a hypothetical town in California relatively close to a geological fault line, as a proof of principle. Full-scale structural data was available from an actual building.
The team found that collapse probability increased if there were a sequence of aftershocks following a main shock just 10 kilometers distant from the building. Stronger aftershocks mean greater risk that correlates with the actual magnitude of the shock. As one might also expect if the site-to-source distance is greater, risk is lower. Overall, however, the analysis allows the team to quantify this risk based on the two variables, distance and aftershock magnitude.
This story is taken from Science Daily
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