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2 cards from this section. Quick, good the night before a test.
What does smoothening involve in the context of response spectra?
Think about how data can be cleansed for better quality.
Why are irregularities a problem when using response spectra?
Consider what affects design safety.
What is the purpose of smoothening the response spectrum?
Focus on the usability aspect.
True or False: Smoothening is unnecessary if the data is collected accurately.
Remember the nature of any collected data.
Explain how different statistical methods may produce different results for the same response spectrum data. What factors would you consider in choosing a method?
Think about how different methods highlight various aspects of the data.
You have raw response spectrum data from seismic recordings. Design a procedure to smooth this data effectively, including at least three steps.
Consider how data flows in your filter process.
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