From rapid visual survey to multi-hazard risk prioritisation and numerical fragility of school buildings

Gentile, Roberto; Galasso, Carmine; Idris, Yunita; Rusydy, Ibnu; Meilianda, Ella

doi:https://doi.org/10.5194/nhess-19-1365-2019

Articles | Volume 19, issue 7

https://doi.org/10.5194/nhess-19-1365-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-19-1365-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 7

Research article

|

11 Jul 2019

Research article |

| 11 Jul 2019

From rapid visual survey to multi-hazard risk prioritisation and numerical fragility of school buildings

Roberto Gentile, Carmine Galasso, Yunita Idris, Ibnu Rusydy, and Ella Meilianda

Download

Final revised paper (published on 11 Jul 2019)
Preprint (discussion started on 15 Jan 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: 'Comments', Anonymous Referee #1, 23 Jan 2019
- AC1: 'Responses to reviewer 1', Roberto Gentile, 04 Apr 2019
RC2: 'Review', Anonymous Referee #2, 23 Feb 2019
- AC2: 'Response to reviewer 2', Roberto Gentile, 04 Apr 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Reconsider after major revisions (further review by editor and referees) (15 Apr 2019) by Maria Ana Baptista

AR by Roberto Gentile on behalf of the Authors (09 May 2019) Author's response Manuscript

ED: Referee Nomination & Report Request started (19 May 2019) by Maria Ana Baptista

RR by Anonymous Referee #1 (20 May 2019)

ED: Publish as is (21 May 2019) by Maria Ana Baptista

Short summary

This paper introduces the INSPIRE index, which quantifies the relative seismic risk of reinforced concrete buildings. A rapid visual survey form is proposed, which allows us to (1) calculate the INSPIRE index, (2) calculate a tsunami risk index, and (3) define archetype buildings to be analysed in more detail. The effectiveness of such tools is demonstrated with an application to 85 school buildings in Indonesia, also providing detailed numerical simulations for an archetype building.