Seismic Damage Evaluation and Decisions on Interventions Supported by UAV-Based Surveys

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21610%2F22%3A00352707" target="_blank" >RIV/68407700:21610/22:00352707 - isvavai.cz</a>

Výsledek na webu

<a href="https://hal.archives-ouvertes.fr/hal-03406144/document" target="_blank" >https://hal.archives-ouvertes.fr/hal-03406144/document</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-90788-4_20" target="_blank" >10.1007/978-3-030-90788-4_20</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Seismic Damage Evaluation and Decisions on Interventions Supported by UAV-Based Surveys

Popis výsledku v původním jazyce

The contribution demonstrates the benefits of Unmanned Aerial Vehicles (UAV)-based surveys for building damage evaluation and decisions on interventions after an earthquake. The case study focuses on the historic village of Castelluccio di Norcia (Italy), heavily damaged by the 2016 earthquake. By constructing a 3D model based on UAV flights, the damage levels are estimated for buildings in the village, and an optimal set of intervention measures is proposed. For the decision analysis, a preposterior Bayesian technique is utilized. The efficiency of the UAV-based survey is highlighted through a cost-benefit analysis and by considering parameters such as the time constraints, the quality of obtained data, and the risk of inspecting persons. The proposed method seems to be efficient in organizing rescuing activities, managing emergency measures, and specifying interventions, following the occurrence of an accidental situation.

Název v anglickém jazyce

Seismic Damage Evaluation and Decisions on Interventions Supported by UAV-Based Surveys

Popis výsledku anglicky

The contribution demonstrates the benefits of Unmanned Aerial Vehicles (UAV)-based surveys for building damage evaluation and decisions on interventions after an earthquake. The case study focuses on the historic village of Castelluccio di Norcia (Italy), heavily damaged by the 2016 earthquake. By constructing a 3D model based on UAV flights, the damage levels are estimated for buildings in the village, and an optimal set of intervention measures is proposed. For the decision analysis, a preposterior Bayesian technique is utilized. The efficiency of the UAV-based survey is highlighted through a cost-benefit analysis and by considering parameters such as the time constraints, the quality of obtained data, and the risk of inspecting persons. The proposed method seems to be efficient in organizing rescuing activities, managing emergency measures, and specifying interventions, following the occurrence of an accidental situation.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20102 - Construction engineering, Municipal and structural engineering

Projekt

<a href="/cs/project/LTT18003" target="_blank" >LTT18003: Pravděpodobnostní rozbor degradujících konstrukčních systémů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Protection of Historical Constructions. Proceedings of PROHITECH 2021

ISBN

9783030907907

ISSN

2366-2557

e-ISSN

2366-2565

Počet stran výsledku

16

Strana od-do

206-221

Název nakladatele

Springer International Publishing

Místo vydání

Cham

Místo konání akce

Athens

Datum konání akce

25. 10. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000922743500020