Browsing by Author "Samaniego Galindo, Víctor Hugo"

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Análisis de métodos OMA para la extracción de parámetros modales sobre edificios existentes
(2021) Samaniego Galindo, Víctor Hugo; Jiménez Pacheco, Juan Carlos; González Martínez, Santiago Renán; Muñoz Calle, Milton Rodrigo; Placencia León, José Sebastián; Palacios Serrano, Iván Santiago
This paper presents the application of Operational Modal Analysis (OMA) methods in order to characterize the modal parameters (i.e., frequencies and vibration modes) of a building. The study was carried out on a real scenario. In particular, the Frequency Domain Decomposition (FDD) method and its enhanced version (EFDD) were used. In a first stage, a preliminary structural evaluation of the building (using the rapid visual inspection method, RVS), a dimensional survey and field tests for the mechanical characterization of its components were carried out, for the purpose of obtaining a conventional modal analysis in terms of its modal parameters. Based on this modal analysis, an instrumentation plan was designed with triaxial MEMS accelerometers (microelectromechanical systems). The instrumentation process was comprised of three stages: acquisition, control and storage of information. The main contribution of this work consists of the evaluation of the application of the FDD and EFDD methods on an essential building, with the particularity of the use of microseismicity vibrations for the identification of modal parameters. Results obtained reveal a fundamental frequency of the building of 1.43 Hz, as well as a non-recommended modal behavior.
MQTT based event detection system for structural health monitoring of buildings
(Springer Science y Business Media Deutschland GmbH, 2022) Muñóz Calle, Milton Rodrigo; González Martínez, Santiago Renán; Samaniego Galindo, Víctor Hugo; Palacios Serrano, Iván Santiago; Placencia León, José Sebastián; Jiménez Pacheco, Juan Carlos
Structural Health Monitoring (SHM) consists in a fundamental research field which aim to evaluate the current status of an infrastructure with the main purpose to identify damages and prevent catastrophic events. This paper presents an SHM solution that implements an automatic system based on the MQTT protocol and IoT devices for detecting seismic events. In particular, the architecture consists of a set of accelerometer sensors which communicate by means of a decentralized network topology (i.e., an Ad hoc Network configuration). Moreover, the system has the capacity to transmit the information about the events detected in real-time using cloud services. In order to verify the proper operation, the system was deployed on an actual building and the information acquired by the sensors was registered along four months. In this context, a relevant event detected was selected for analyzing the dynamic response of the building during a seism. Results show that the acceleration values increase as a function of the building height. Regarding the seismic event analyzed, the RMS values of acceleration identified on the basement were 0.26, 0.22, and 0.22 cm/s2 and in the case of the eighth floor were 1.18, 1.33, and 0.59 cm/s2 for the longitudinal, transverse, and vertical axes, respectively. Additionally, a first assessment regarding the structural health status of the building was performed through the OMA methodology (Operational Modal Analysis). Specifically, the FDD (Frequency Domain Decomposition) mechanism was used to determine the first four frequencies and its respective vibration modes.
Redes inalámbricas ad hoc aplicadas a la monitorización de salud estructural en edificios
(Íñigo Cuiñas Gómez, 2021) Guevara Baculima, Remigio Clemente; Placencia León, José Sebastián; Samaniego Galindo, Víctor Hugo; González Martínez, Santiago Renán; Palacios Serrano, Iván Santiago; Palacios Serrano, Iván Santiago
This paper presents an architecture based on wireless ad hoc networks for the structural health monitoring of buildings. The solution consists of a set of ten sensor nodes (accelerograph stations) as well as a main node or gateway. The communication among the devices was configured through a multi-hop topology. Furthermore, the gateway node incorporates an automatic event detection system where the sensor nodes upload the information of the seismic events to the cloud (Google Drive). This proposal contributes in the design and implementation of resilient communications systems on real scenarios. Regarding the network performance, several experiments were carried out in order to evaluate the throughput, RTT, and the time to transmit the data of events. Finally, results of a seismic event detected are presented which evidence the proper operation of the architecture proposed.