Your English writing platform
Discover LudwigSuggestions(2)
Exact(4)
If the vulnerability model is deterministic (no uncertainty) then the results are reproducible as the mean damage ratio is always evaluated.
This function provides a continuous, quantitative, and probabilistic relationship between different hazard intensities (for example, spectral acceleration, water depth, and ash fall thickness) with the mean damage ratio (MDR).
In this case, instead of a loss exceedance rate, what is directly obtained is the mean damage ratio (MDR) of each component of the network, which is approximately 3.5% of the total exposed value.
If the model incorporates uncertainty in the damage ratio then the user can evaluate the mean damage ratio, or sample from the uncertainty distribution (damage ratio as a function of intensity) using a Monte Carlo simulation method.
Similar(54)
Annual average damage ratio also drops.
An increase of the road slope caused an increment of the stress range and mean values; the damage ratio between mountain bike and road load spectra for an equivalent cycled distance resulted to range between 6 and 9, depending on the tester involved.
At load ratio R = 0.5, the mean damage sum is approximately 0.1 in the VHCF regime.
For load ratio R = 0.1, the mean damage sum decreases from 1.1 to 0.2 when lifetimes increase from HCF to VHCF.
For load ratio R = −1, the mean damage sum decreases from 0.5 to 0.3 when lifetimes increase from the HCF regime to 109 cycles, and increases at higher numbers of cycles.
The mean damage loss estimation of buildings based on the evaluated a g/a o ratios and on recently developed damage probability matrices DPMs and vulnerability curves for five discrete structural building types (Eleftheriadou and Karabinis 2011, 2013).
The mean damage loss estimation of buildings was based on the evaluated a g/a o ratios and on recently developed Damage Probability Matrices DPMs and vulnerability curves for five discrete structural building types.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com