Numerical-Informational methodology for characterising steel bolted components coupling finite element simulations and soft computing techniques

Numerical-Informational methodology for characterising steel bolted components coupling finite element simulations and soft computing techniques

Over the last few decades, the characterisation of steel joints has been a highly active research topic thanks to its inherent complexity and utmost importance in the behaviour of a whole structure. The emergence of the semi-rigid concept provided significant benefits from both the structural and ec...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Fernández Ceniceros, Julio
Otros Autores: Martínez de Pisón Ascacíbar, Francisco Javier (Universidad de La Rioja)
Formato: text (thesis)
Lenguaje:eng
Publicado: Universidad de La Rioja (España) 2015
Acceso en línea:https://dialnet.unirioja.es/servlet/oaites?codigo=45992
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai-TES0000008559
record_format dspace
institution DialNet
collection DialNet
language eng
description Over the last few decades, the characterisation of steel joints has been a highly active research topic thanks to its inherent complexity and utmost importance in the behaviour of a whole structure. The emergence of the semi-rigid concept provided significant benefits from both the structural and economic perspectives, in exchange for more advanced and sophisticated calculation procedures. An approach that has gained popularity is the component-based method, in which the overall behaviour of the joint can be determined from the force-displacement responses of its individual components. Although this method is very versatile for modelling any joint configuration, a detailed characterisation of components is necessary to ensure accuracy. In this context, this thesis presents a hybrid methodology to determine the comprehensive force-displacement curve of bolted components: from initial stiffness up to the fracture point. This methodology couples numerical and informational models to predict key parameters of curves, such as initial stiffness, maximum resistance and displacement at failure. To this end, numerical models based on the finite element method (FEM) are first developed to reproduce the real response of bolted components. These models incorporate progressive damage mechanisms and failure criteria to accurately estimate the displacement at fracture. In order to minimise the computational burden of the FEM, the results of a set of simulations are then utilised to train informational models based on soft computing (SC). A genetic algorithm (GA) optimisation is included to set up model parameters and select the most relevant input variables for predicting the force-displacement response. Taken together, the proposed methodology is capable of providing accurate and parsimonious informational models. The applicability of the hybrid methodology is demonstrated for the characterisation of two fundamental bolted components: the lap and the T-stub. The results obtained highlight the superior accuracy of this methodology as compared to current regulatory codes and traditional analytical models. Once trained and validated, the informational models are able to replace costly FE simulations without a significant decrease in accuracy, and at a negligible computational cost. Therefore, the hybrid methodology could represent an effective tool to be implemented in structural analysis software for designers and practitioners. Overall, the contributions presented in this thesis provide evidence of the great potential of combining FEM and SC to predict the behaviour of structural components.
author2 Martínez de Pisón Ascacíbar, Francisco Javier (Universidad de La Rioja)
author_facet Martínez de Pisón Ascacíbar, Francisco Javier (Universidad de La Rioja)
Fernández Ceniceros, Julio
format text (thesis)
author Fernández Ceniceros, Julio
spellingShingle Fernández Ceniceros, Julio
Numerical-Informational methodology for characterising steel bolted components coupling finite element simulations and soft computing techniques
author_sort Fernández Ceniceros, Julio
title Numerical-Informational methodology for characterising steel bolted components coupling finite element simulations and soft computing techniques
title_short Numerical-Informational methodology for characterising steel bolted components coupling finite element simulations and soft computing techniques
title_full Numerical-Informational methodology for characterising steel bolted components coupling finite element simulations and soft computing techniques
title_fullStr Numerical-Informational methodology for characterising steel bolted components coupling finite element simulations and soft computing techniques
title_full_unstemmed Numerical-Informational methodology for characterising steel bolted components coupling finite element simulations and soft computing techniques
title_sort numerical-informational methodology for characterising steel bolted components coupling finite element simulations and soft computing techniques
publisher Universidad de La Rioja (España)
publishDate 2015
url https://dialnet.unirioja.es/servlet/oaites?codigo=45992
work_keys_str_mv AT fernandezcenicerosjulio numericalinformationalmethodologyforcharacterisingsteelboltedcomponentscouplingfiniteelementsimulationsandsoftcomputingtechniques
_version_ 1718346629337055232
spelling oai-TES00000085592019-07-14Numerical-Informational methodology for characterising steel bolted components coupling finite element simulations and soft computing techniquesFernández Ceniceros, JulioOver the last few decades, the characterisation of steel joints has been a highly active research topic thanks to its inherent complexity and utmost importance in the behaviour of a whole structure. The emergence of the semi-rigid concept provided significant benefits from both the structural and economic perspectives, in exchange for more advanced and sophisticated calculation procedures. An approach that has gained popularity is the component-based method, in which the overall behaviour of the joint can be determined from the force-displacement responses of its individual components. Although this method is very versatile for modelling any joint configuration, a detailed characterisation of components is necessary to ensure accuracy. In this context, this thesis presents a hybrid methodology to determine the comprehensive force-displacement curve of bolted components: from initial stiffness up to the fracture point. This methodology couples numerical and informational models to predict key parameters of curves, such as initial stiffness, maximum resistance and displacement at failure. To this end, numerical models based on the finite element method (FEM) are first developed to reproduce the real response of bolted components. These models incorporate progressive damage mechanisms and failure criteria to accurately estimate the displacement at fracture. In order to minimise the computational burden of the FEM, the results of a set of simulations are then utilised to train informational models based on soft computing (SC). A genetic algorithm (GA) optimisation is included to set up model parameters and select the most relevant input variables for predicting the force-displacement response. Taken together, the proposed methodology is capable of providing accurate and parsimonious informational models. The applicability of the hybrid methodology is demonstrated for the characterisation of two fundamental bolted components: the lap and the T-stub. The results obtained highlight the superior accuracy of this methodology as compared to current regulatory codes and traditional analytical models. Once trained and validated, the informational models are able to replace costly FE simulations without a significant decrease in accuracy, and at a negligible computational cost. Therefore, the hybrid methodology could represent an effective tool to be implemented in structural analysis software for designers and practitioners. Overall, the contributions presented in this thesis provide evidence of the great potential of combining FEM and SC to predict the behaviour of structural components.La caracterización de uniones de acero ha sido un tema de investigación muy activo en las últimas décadas debido a su complejidad y vital importancia en el comportamiento de una estructura. La aparición del concepto semirrígido proporcionó destacados beneficios tanto desde el punto de vista estructural como de la perspectiva económica pero, a su vez, exigió procedimientos de cálculo más sofisticados y avanzados. Un enfoque que ha ganado popularidad entre investigadores y calculistas es el método basado en componentes, capaz de estimar el comportamiento de una unión estructural a partir de las curvas características fuerza-desplazamiento de cada uno de los componentes de la unión. Aunque el método es muy versátil y permite modelar cualquier configuración de unión, es necesaria una detallada caracterización de cada uno de los componentes para conseguir una buena precisión en el cálculo. En este contexto, esta tesis presenta una metodología híbrida para determinar la curva completa fuerza-desplazamiento en componentes atornillados. La metodología combina modelos numéricos y modelos de predicción para estimar parámetros de las curvas, tales como la rigidez inicial, la resistencia máxima o el desplazamiento en la fractura. En primer lugar se desarrollan modelos numéricos basados en el método de los elementos finitos (FEM) para reproducir la respuesta real del componente atornillado. Estos modelos incorporan mecanismos de daño progresivo y criterios de fallo para estimar el desplazamiento en la fractura. Con el objetivo de minimizar el gran coste computacional del FEM, se genera un conjunto de simulaciones para entrenar modelos de predicción basados en soft computing (SC). Estos modelos de predicción incluyen una optimización con algoritmos genéticos (GA) para ajustar los parámetros del modelo y, al mismo tiempo, seleccionar las variables de entrada más importantes en la predicción de la respuesta fuerza-desplazamiento. En su conjunto, la metodología propuesta es capaz de proporcionar modelos de predicción precisos y parsimoniosos. La aplicación de la metodología híbrida queda demostrada en la caracterización de dos componentes atornillados fundamentales: la unión a solape y la unión en 'T'. Los resultados obtenidos en la caracterización de ambos componentes resaltan la mayor precisión de la metodología propuesta en comparación con las actuales normativas de cálculo y con modelos analíticos tradicionales. Una vez entrenados y validados, los modelos de predicción son capaces de reemplazar a las costosas simulaciones FE sin una pérdida de precisión significativa y con un coste computacional despreciable. Por tanto, la metodología híbrida podría representar una herramienta efectiva para ser implementada en programas de análisis estructural para diseñadores y calculistas. Finalmente, las contribuciones presentadas en estas tesis evidencian el gran potencial de combinar FEM y SC para predecir el comportamiento de componentes estructurales.Universidad de La Rioja (España)Martínez de Pisón Ascacíbar, Francisco Javier (Universidad de La Rioja)Sanz García, Andrés (Universidad de La Rioja)2015text (thesis)application/pdfhttps://dialnet.unirioja.es/servlet/oaites?codigo=45992engLICENCIA DE USO: Los documentos a texto completo incluidos en Dialnet son de acceso libre y propiedad de sus autores y/o editores. Por tanto, cualquier acto de reproducción, distribución, comunicación pública y/o transformación total o parcial requiere el consentimiento expreso y escrito de aquéllos. Cualquier enlace al texto completo de estos documentos deberá hacerse a través de la URL oficial de éstos en Dialnet. Más información: https://dialnet.unirioja.es/info/derechosOAI | INTELLECTUAL PROPERTY RIGHTS STATEMENT: Full text documents hosted by Dialnet are protected by copyright and/or related rights. This digital object is accessible without charge, but its use is subject to the licensing conditions set by its authors or editors. Unless expressly stated otherwise in the licensing conditions, you are free to linking, browsing, printing and making a copy for your own personal purposes. All other acts of reproduction and communication to the public are subject to the licensing conditions expressed by editors and authors and require consent from them. Any link to this document should be made using its official URL in Dialnet. More info: https://dialnet.unirioja.es/info/derechosOAI

Ejemplares similares