A digital twin framework for rapid performance-based post-earthquake assessment using computer vision and building information models

Levine, Nathaniel Moses

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University of Illinois at Urbana-Champaign

A digital twin framework for rapid performance-based post-earthquake assessment using computer vision and building information models

dc:creator Levine, Nathaniel Moses

thesis:degree_name Ph.D.

dc:date2022

Abstract

dc:description

Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01

Degree

thesis:*

Name thesis:degree_name: Ph.D.
Level thesis:degree_level: Dissertation
Discipline thesis:degree_discipline: Civil Engineering
Grantor: University of Illinois at Urbana-Champaign
Year dc:date: 2022

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Levine, Nathaniel Moses
Contributors dc:contributor: Spencer, Billie F
Popovics, John S
Golparvar-Fard, Mani
Ramirez, Julio A.

Subjects

dc:subject × 7

Rights

dc:rights

Language dc:language: en, eng

Identifiers

dc:identifier.*

Handle dc:identifier: https://hdl.handle.net/2142/116032
OAI identifier oai:identifier: oai:www.ideals.illinois.edu:2142/116032

Chain of custody

source

Harvested from: University of Illinois - Urbana-Champaign
Base URL: www.ideals.illinois.edu/oai-pmh
Last updated: 2026-07-22
Source record: OAI-PMH GetRecord

related terms

citation

Levine, Nathaniel Moses. A digital twin framework for rapid performance-based post-earthquake assessment using computer vision and building information models. Dissertation thesis, University of Illinois at Urbana-Champaign, 2022. https://hdl.handle.net/2142/116032

A digital twin framework for rapid performance-based post-earthquake assessment using computer vision and building information models

Abstract

Degree

Author and committee

Subjects

Rights

Identifiers

Chain of custody

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