Efficient intensity measures and machine learning classification algorithms for collapse prediction informed by physics-based ground motion simulations

Nenad Bijelić; Ting Lin; Greg G. Deierlein

Efficient intensity measures and machine learning classification algorithms for collapse prediction informed by physics-based ground motion simulations

Nenad Bijelić, Ting Lin, Greg G. Deierlein

Civil Environ Construct Engineering

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1188-1207
Journal	Earthquake Spectra
State	Published - Aug 11 2020

Cite this

@article{16921fa879b54060b3582dfd1832ea1e,

title = "Efficient intensity measures and machine learning classification algorithms for collapse prediction informed by physics-based ground motion simulations",

author = "Nenad Bijeli{\'c} and Ting Lin and Deierlein, {Greg G.}",

year = "2020",

month = aug,

day = "11",

language = "English",

pages = "1188--1207",

journal = "Earthquake Spectra",

issn = "8755-2930",

}

Efficient intensity measures and machine learning classification algorithms for collapse prediction informed by physics-based ground motion simulations

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