Banca de QUALIFICAÇÃO: JOÃO ANTÔNIO TEIXEIRA SOARES

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : JOÃO ANTÔNIO TEIXEIRA SOARES
DATE: 19/11/2021
TIME: 09:00
LOCAL: Araxá
TITLE:

MULTIPLE LINEAR REGRESSION APPLIED TO DEFINITE EARTH DAM MONITORING CONTROL LEVELS

KEY WORDS:

Automated instrumentation, real-time monitoring, multiple linear regression, statistical operational control, dams.

PAGES: 26
BIG AREA: Engenharias
AREA: Engenharia de Minas
SUBÁREA: Pesquisa Mineral
SPECIALTY: Caracterização do Minério
SUMMARY:

The operation phase of dams can extend for decades and, therefore, monitoring and inspection activities are essential. Auscultation of dams aims the safety conditions assessment and checking of design assumptions. This system generates a huge database that needs to be processed to obtain information about the behavior of the structure. The representative database should be used to statistical analyses that enables the identification of standards about the soil behavior, seasonality and, mainly, the rapid identification of behavior changing of the structure based on statistical operational controls. To understand the complex performance and behavior of dams, the monitoring should integrate the monitoring technologies, automated instrumentation, friendly and intuitive platform to results visualization and the implantation of deterministic and statistical operational control. Therefore, was observed the potential of development of a statistical operational control using the Multiple Linear Regression (MLR), that is the one of most techniques used to model the linear correlation between a dependent variable and one, or more, independent variables. The utilization of MLR to identification of water table or piezometric line (dependent variable) in relation of independent variables: reservoir water level, rainfall and v-notch data. After implantation of statistical control level, the automated monitoring system will issue, in a traceable way and according to the level of responsibility of the team, a notification of triggered statistical thresholds with the respective orientations of operationalization. So, the representative database used on the development of statistical control levels provides a team interaction to the structure, reflecting on the ability to predict eventual operational scenarios, under the perspective of failure modes.

BANKING MEMBERS:
Presidente - THIAGO BOMJARDIM PORTO
Externo à Instituição - RONDERSON QUEIROZ HILÁRIO - UFMG
Externo à Instituição - JOÃO FRANCISCO ALVES SILVEIRA
Externo à Instituição - ROMERO CESAR GOMES - UFOP
Externo à Instituição - THIAGO HENRIQUE BARBOSA DE CARVALHO TAVARES - IFMG