Technical Papers
Dec 20, 2018

Structural Degradation Assessment of RC Buildings: Calibration and Comparison of Semeiotic-Based Methodology for Decision Support System

Publication: Journal of Performance of Constructed Facilities
Volume 33, Issue 2

Abstract

The condition assessment of existing buildings with special reference to the analysis of degradation level has been extensively and fruitfully applied in the field of maintenance and monitoring. This paper presents a methodology for detecting structural degradation of the building that can be implemented in a decision support system consisting in a platform connected with smart devices. The proposed procedure is suitable for calculating the degradation of the building through a set of key performance indices and an optimized analytic hierarchy process. In addition, the methodology is calibrated through the well-known Tuutti model to consider the damage evolution of reinforcements’ corrosion. The results show that this calibration increases the accuracy of the assessment but reduces the robustness of the method. Moreover, an optimal calibration point is identified by exploiting the results of a set of case studies performed in Italy, Portugal, and Brazil. Finally, the method is compared with a similar approach for the degradation analysis developed in the University of Brasilia.

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Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 33Issue 2April 2019

History

Received: May 18, 2018
Accepted: Jul 23, 2018
Published online: Dec 20, 2018
Published in print: Apr 1, 2019
Discussion open until: May 20, 2019

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Authors

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Valentino Sangiorgio [email protected]
Ph.D. Candidate, Dipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica, Polytechnic of Bari, Bari 70126, Italy (corresponding author). Email: [email protected]
João Costa Pantoja joã[email protected]
Professor, Dept. of Technology in Architecture and Urban Planning, Univ. of Brasília, Brasília-DF 70910-900, Brazil. Email: joã[email protected]
Humberto Varum [email protected]
Professor, Faculty of Engineering, Univ. of Porto, Porto 4200-465, Portugal. Email: [email protected]
Giuseppina Uva [email protected]
Professor, Dipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica, Polytechnic of Bari, Bari 70126, Italy. Email: [email protected]
Fabio Fatiguso [email protected]
Professor, Dipartimento di Ingegneria Civile, Ambientale, del Territorio, Edile e di Chimica, Polytechnic of Bari, Bari 70126, Italy. Email: [email protected]

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