TY - GEN
T1 - User-Reporting Based Decision Support System for Reinforced Concrete Building Monitoring
AU - Uva, Giuseppina
AU - Fatiguso, Fabio
AU - Adam, Jose M.
AU - Iacobellis, Giorgio
AU - Sangiorgio, Valentino
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Monitoring existing reinforced concrete buildings at the large-scale is a complex issue for holders and administrators that are responsible for the user safety. Such operations can be simplified by using Decision Support Systems (DSSs) to evaluate the criticalities that can compromise human safety or building usability. This paper specifies a DSS devoted to evaluate the building safety performance level. The DSS includes an application software (APP) developed for mobile devices and a web service-based platform (Quality Detection Platform - QDP) that stores and processes data. The collected data are elaborated by a suitable procedure, which assigns automatically some Key Performance Indices to every report. The DSS allows monitoring buildings at the regional scale and provides a classification of the most damaged ones, useful for civil protection aims and for the prioritization of interventions. In order to assess the proposed methodology, a case study of a reinforced concrete residential building in El Perellonet, Valencia (Spain) is developed.
AB - Monitoring existing reinforced concrete buildings at the large-scale is a complex issue for holders and administrators that are responsible for the user safety. Such operations can be simplified by using Decision Support Systems (DSSs) to evaluate the criticalities that can compromise human safety or building usability. This paper specifies a DSS devoted to evaluate the building safety performance level. The DSS includes an application software (APP) developed for mobile devices and a web service-based platform (Quality Detection Platform - QDP) that stores and processes data. The collected data are elaborated by a suitable procedure, which assigns automatically some Key Performance Indices to every report. The DSS allows monitoring buildings at the regional scale and provides a classification of the most damaged ones, useful for civil protection aims and for the prioritization of interventions. In order to assess the proposed methodology, a case study of a reinforced concrete residential building in El Perellonet, Valencia (Spain) is developed.
KW - Building damages
KW - Decision Support System
KW - Monitoring
KW - Reinforced Concrete Building
UR - http://www.scopus.com/inward/record.url?scp=85062220517&partnerID=8YFLogxK
U2 - 10.1109/SMC.2018.00448
DO - 10.1109/SMC.2018.00448
M3 - Conference contribution
AN - SCOPUS:85062220517
T3 - Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
SP - 2620
EP - 2625
BT - Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Y2 - 7 October 2018 through 10 October 2018
ER -
