Banca de DEFESA: JOÃO ANTÔNIO TEIXEIRA SOARES

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : JOÃO ANTÔNIO TEIXEIRA SOARES
DATE: 22/07/2022
TIME: 16:00
LOCAL: Araxá - MG
TITLE:

SAFETY OF DAMS BASED ON STATISTICAL OPERATIONAL CONTROLS

KEY WORDS:

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

PAGES: 70
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. The database used in the study consist of 20 water level indicators, 5 piezometers, 1 reservoir level indicator and 1 v-notch wier according to a period between 2017 and 2021. After the development phase, was possible to characterize scenarios of operation like the seasonality and even anomalous scenarios like rainwater infiltration inside the instrument. Among the 25 instruments, the MLR proved to be satisfactory to 16 of them, with a prediction potential up to 97%. After the conclusion of the research, was certified that Multiple Linear Regression applied to statistical control levels of dam’s safety complies with the best practices of monitoring of dams.

BANKING MEMBERS:
Presidente - THIAGO BOMJARDIM PORTO
Interno - NATAL JUNIO PIRES
Externo à Instituição - RONDERSON QUEIROZ HILÁRIO - UFMG
Externo à Instituição - MARCOS ANTÔNIO LEMOS JÚNIOR - UFOP
Externo à Instituição - JOÃO FRANCISCO ALVES SILVEIRA - USP