Banca de DEFESA: Melissa Lorrane Frazao Lopes

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : Melissa Lorrane Frazao Lopes
DATE: 06/07/2023
TIME: 09:00
LOCAL: Plataforma Teams
TITLE:

DAMAGE MAPPING SYSTEMATIZATION FOR THE STUDY OF FAÇADE DEGRADATION

KEY WORDS:

Degradation, Façade, Anomaly, Inspection, Damage mapping, Drone.

PAGES: 138
BIG AREA: Engenharias
AREA: Engenharia Civil
SUBÁREA: Construção Civil
SPECIALTY: Materiais e Componentes de Construção
SUMMARY:

Façades are directly exposed to external degradation agents, in particular, climatic agents. The action of degradation agents, through degradation mechanisms, leads to the deterioration of the façade throughout its useful life. Inspection and damage mapping are essential tools for obtaining data for the study of façade degradation, allowing the identification, location, and quantification of existing anomalies. Anomaly identification is not simple, especially when the only means used is the analysis of images or orthomosaics of the façade, requiring the existence of procedures that help in the detection. Understanding and improving inspection and damage mapping techniques are essential to facilitate and increase the reliability of these processes. The purpose of this study is to present a systematization for anomaly identification and damage mapping of mortar coating façades in the Federal District, including the use of Remotely Piloted Aircraft (RPA) in the inspection. The photographic survey of the façades studied is carried out using RPA and orthomosaics are obtained using orthogonalization and digital image processing methodologies, for comparison. For anomaly identification through the analysis of orthomosaics, a categorization by typology is proposed, in which the criteria position, configuration, grouping, occurrence, origin, and close elements are used to characterize different types of anomalies and help in their identification. A damage mapping standardization is also presented, indicating a level of approximation to be used for anomaly identification. The RPA use allows the capture of close and perpendicular images along the entire façade, making it possible to obtain orthomosaics of satisfactory quality for anomaly identification, using both methodologies used. The defined criteria are efficient for the characterization of the anomalies and the categorization by typology proposed is efficient for the precise damage identification in the orthomosaics of the investigated façades samples. The standardization of damage mapping uniforms the process, helping to obtain more consistent results. The proposed systematization leads to greater accuracy and reliability for mapping, which collaborates with the study of façade degradation.

COMMITTEE MEMBERS:
Presidente - 404321 - ELTON BAUER
Interna - 1573495 - VALDIRENE MARIA SILVA CAPUZZO
Externa ao Programa - 1851456 - VANDA ALICE GARCIA ZANONI - UnBExterno à Instituição - Francisco Gabriel Santos Silva - UFBA