Figure 2: Example of CDF implementation in pyCast and an intersecting shaking level of 6 MMI.
PGA, MMI) to a damage state, taking into account new minecraft pc game demos some uncertainty in that value.
Last Updated: August 14, 2018.
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Entering the data from Figure 2 into Equation 2, the inspection priority of the facility for this event can be determined and is realized in Figure.Figure 1 shows an example of this comparison from the hazus manual.Skip to main content, main Content, this record contains Hazus-MH.1 Multi-hazard Loss Estimation Methodology Technical and User Manuals for the Earthquake Model, the Flood Model, and the Hurricane Model as well as the Earthquake Advanced Engineering Building Module (aebm) User Manual and the Flood.1 : Federal Emergency Management Agency (fema 2001.Since the CDF cannot account for additional states, the final probability for any state is equal to the value of the CDF at the specific shaking level minus the probability of all higher damage states.Volume crack sealer home depot 198, 2017, Pages 836-844 open access oeng.2017.07.134, get rights and content, under a Creative Commons license, building damage simulation regional simulation high-fidelity model high performance computing 2017 The Author(s).ShakeCast users define these limits by uploading fragility profiles of their facilities.These manuals are the most current versions available.This is described.For smaller shaking levels, the probability of exceeding even the lowest state may be quite small; in this case, the facility is most likely in a No Priority inspection state.It generates these CDF curves using Pythons built in error function ( f ).Figure 1: hazus example of CDF curves intersecting with shaking of various strengths 1 pyCast uses this same method to generate its inspection priorities.
Edit me, shakeCasts primary product is the potential impacts list, generated by calculating the probability that real-time shaking levels have exceeded a facilitys physical limits.
The list of facilities included in this notification are sorted in reverse order by their weight.
After all the facilities encompassed by a ShakeMap are processed, a notification is generated.
Generally determined by an engineer, a facilitys fragility is a correlation of some shaking value in a particular metric (ex.
Figure 3: The probability of an example facility requiring an inspection after experiencing 6 MMI Shaking pyCast will award the facility the inspection priority with the highest probability, favoring the higher in the event of two states being equally the most likely.The facility is then designated a weight based on its damage state.For changes related to subsequent updates to the Hazus-MH program, please see the Getting Started document that is included with the Hazus software yamaha w7 owners manual download.These values can then be compared to cumulative distribution functions (CDFs) for each facility to determine the probability of the facility being in a specific damage state.When a ShakeMap is generated after an earthquake, ShakeCast will search this map for the shaking measurements (or estimates) nearest to the facilities in its database.
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