A preliminary approach of dynamic identification of slender buildings by neuronal networks
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Título: | A preliminary approach of dynamic identification of slender buildings by neuronal networks |
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Autor/es: | Ivorra, Salvador | Brotons, Vicente | Foti, Dora | Diaferio, Mariella |
Grupo/s de investigación o GITE: | Grupo de Ensayo, Simulación y Modelización de Estructuras (GRESMES) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ingeniería Civil |
Palabras clave: | Dynamic identification | Phreatic level | Masonry | Slender structures | Dynamic soil–structure interaction |
Área/s de conocimiento: | Mecánica de Medios Continuos y Teoría de Estructuras |
Fecha de publicación: | abr-2016 |
Editor: | Elsevier |
Cita bibliográfica: | International Journal of Non-Linear Mechanics. 2016, 80: 183-189. doi:10.1016/j.ijnonlinmec.2015.11.009 |
Resumen: | The study of the dynamic behavior of slender masonry structures is usually related to the preservation of the historic heritage. This study, for bell towers and industrial masonry chimneys, is particularly relevant in areas with an important seismic hazard. The analysis of the dynamic behavior of masonry structures is particularly complex due to the multiple effects that can affect the variation of its main frequencies along the seasons of the year: temperature and humidity. Moreover, these dynamic properties also vary considerably in structures built in areas where land subsidence due to the variation of the phreatic level along the year is particularly evident: the stiffness of the soil–structure interaction also varies. This paper presents a study to evaluate the possibility of detecting the variation of groundwater level based on the readings obtained using accelerometers in different positions on the structure. To do this a general case study was considered: a 3D numerical model of a bellower. The variation of the phreatic level was evaluated between 0 and −20 m, and 81 cases studies were developed modifying the rigidity of the soil–structure interaction associated to a position of the phreatic level. To simulate the dispositions of accelerometers on a real construction, 16 points of the numerical model were selected along the structure to obtain modal displacements in two orthogonal directions. Through an adjustment by using neural networks, a good correlation has been observed between the predicted position of the water table and acceleration readings obtained from the numerical model. It is possible to conclude that with a discrete register of accelerations on the tower it is possible to predict the water table depth. |
Patrocinador/es: | The authors express deep gratitude to Ministerio de Economia y Competitividad of the Spain׳s Government and the Generalitat Valenciana. This work was financed by them by means of the BIA2012-34316 and ACOMP/2014/289 research projects. |
URI: | http://hdl.handle.net/10045/63199 |
ISSN: | 0020-7462 (Print) | 1878-5638 (Online) |
DOI: | 10.1016/j.ijnonlinmec.2015.11.009 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2015 Elsevier Ltd. |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.1016/j.ijnonlinmec.2015.11.009 |
Aparece en las colecciones: | INV - GRESMES - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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2016_Ivorra_etal_IJNLM_final.pdf | Versión final (acceso restringido) | 3,05 MB | Adobe PDF | Abrir Solicitar una copia |
2016_Ivorra_etal_IJNLM_preprint.pdf | Preprint (acceso abierto) | 2,55 MB | Adobe PDF | Abrir Vista previa |
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