A study on the fragility and recovery time and repair cost probability curves of nonstructural components in school buildings

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Abstract

This study constructs a nonstructural component database of school buildings from the Taitung earthquake on April 1st and the Heng-Chun earthquake on December 26th, 2006. In addition to the probability of nonstructure damage, this study also offers a prediction to the recovery cost and time which could be used as a reference to assess future earthquake loss. This study shows that exterior wall is the most expensive one in recovery cost and time. Using the fragility curves from this study, the damage prediction for nonstructural components in the school buildings can be practiced. The probability curves of recovery time and cost could be a reference to increase the rebuild efficiency after an earthquake.

Original languageEnglish
Pages (from-to)409-426
Number of pages18
JournalJournal of the Chinese Institute of Civil and Hydraulic Engineering
Volume21
Issue number4
Publication statusPublished - 2009 Dec 1

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School buildings
Earthquakes
Repair
Recovery
Costs

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering

Cite this

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abstract = "This study constructs a nonstructural component database of school buildings from the Taitung earthquake on April 1st and the Heng-Chun earthquake on December 26th, 2006. In addition to the probability of nonstructure damage, this study also offers a prediction to the recovery cost and time which could be used as a reference to assess future earthquake loss. This study shows that exterior wall is the most expensive one in recovery cost and time. Using the fragility curves from this study, the damage prediction for nonstructural components in the school buildings can be practiced. The probability curves of recovery time and cost could be a reference to increase the rebuild efficiency after an earthquake.",
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AB - This study constructs a nonstructural component database of school buildings from the Taitung earthquake on April 1st and the Heng-Chun earthquake on December 26th, 2006. In addition to the probability of nonstructure damage, this study also offers a prediction to the recovery cost and time which could be used as a reference to assess future earthquake loss. This study shows that exterior wall is the most expensive one in recovery cost and time. Using the fragility curves from this study, the damage prediction for nonstructural components in the school buildings can be practiced. The probability curves of recovery time and cost could be a reference to increase the rebuild efficiency after an earthquake.

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