Evaluation of structural health monitoring at the Edgardo Rebagliati Martins hospital with a limited number of accelerometers in the city of Lima
Descripción del Articulo
        Structural Health Monitoring (SHM) allows assessing the structural damage in observed buildings through different methodologies, which observe changes in the structural behavior immediately after an earthquake. Some methodologies assess the structural damage by observing its global capacity curve ob...
              
            
    
                        | Autores: | , , , | 
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| Formato: | artículo | 
| Fecha de Publicación: | 2022 | 
| Institución: | Universidad Nacional de Ingeniería | 
| Repositorio: | Revistas - Universidad Nacional de Ingeniería | 
| Lenguaje: | español | 
| OAI Identifier: | oai:oai:revistas.uni.edu.pe:article/1422 | 
| Enlace del recurso: | https://revistas.uni.edu.pe/index.php/tecnia/article/view/1422 | 
| Nivel de acceso: | acceso abierto | 
| Materia: | Monitoreo de la salud estructural curva de capacidad Transformada de ondículas arreglo de sensores Interpolación Structural Health Monitoring Capacity curve Wavelet transform Arrangements of sensors Interpolation | 
| Sumario: | Structural Health Monitoring (SHM) allows assessing the structural damage in observed buildings through different methodologies, which observe changes in the structural behavior immediately after an earthquake. Some methodologies assess the structural damage by observing its global capacity curve obtained through the displacement and acceleration in all stories, calculated using wavelet transform and double integration process. Due to limited resources, some floors are instrumented, and non-instrumented stories response could be estimated by additional procedures, for instance the spline shape function. In this paper, different arrangements of sensors in the Edgardo Rebagliati Martins Hospital (HERM) are evaluated to find the best possible configuration to estimate the global capacity curve and the interstories capacity curves. A 14-story building in the HERM is analyzed, and the optimal arrangement to estimate the capacity curve for each interstory capacity curve was using 7 sensors, and 4 sensors were sufficient to estimate the global capacity curve of this building. | 
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 Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
    La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
 
   
   
             
            