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This model shows that phenotypes with asymmetric distribution of damage always prevail over phenotypes that distribute damage symmetrically if the survival function s(d) is linear (Fig. 2B).
Figure 5 shows the resulting spatial distribution of damage for the scenarios considered.
a Distribution of damage ratio D R. b The average municipal OMI value.
Open image in new window Fig. 5 Distribution of damage in the roof strata.
(b) Result from iradina simulation showing the distribution of damage within the nanowire.
For each scenario, shelter allocation is based on the spatial distribution of damage and population.
In addition, the distribution of damage caused by the deformation is computed.
Fragility functions are inherently probabilistic and the user can calculate the most likely damage state or sample from the distribution of damage states using Monte Carlo simulation methods to generate a distribution of damage states.
Note also that, as mentioned in the first section, we do not consider buildings collapsing in the distribution of damage.
The distribution of damage indices in each ground motion intensity measure (Sa) are estimated by numerous inelastic incremental dynamic analysis.
b b -values obtained from the slope of the cumulative distribution of damage burst sizes for various e moduli.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com