The Experts below are selected from a list of 27657 Experts worldwide ranked by ideXlab platform
D Zangani - One of the best experts on this subject based on the ideXlab platform.
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combining genetic algorithms with a meso scale approach for system identification of a smart polymeric textile
Computer-aided Civil and Infrastructure Engineering, 2013Co-Authors: C Fuggini, Eleni Chatzi, D ZanganiAbstract:: This article describes a structural system identification approach for the characterization of a novel retrofitting textile, the “Composite Seismic Wallpaper.” This polymeric textile was developed within the EU co-funded project Polytect as a full coverage method for increasing the Seismic resistance of masonry structures. Recently, the wallpaper has been full-scale tested, on a two storey building, at the Eucentre (Pavia) as part of the Seismic Engineering Research Infrastructures for European Synergies (SERIES) program. In this article, an advanced multistage identification methodology is proposed for the successful simulation of this novel material based on the results of the extensive experimental campaign. The identification is essentially formulated as an inverse problem that combines a Genetic Algorithm (GA) as the optimizer and a finite element (FE) model as the physical model of the structure. The aim is material characterization and modeling of the dynamic response of the structure; an issue which is nontrivial due to the intrinsic complexities associated with both masonry and polymers. The process outlined herein is successful in yielding a calibrated model that can more accurately capture the experimentally observed behavior of this three-dimensional full-scale test case.
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combining genetic algorithms with a meso scale approach for system identification of a smart polymeric textile
Computer-aided Civil and Infrastructure Engineering, 2013Co-Authors: C Fuggini, Eleni Chatzi, D ZanganiAbstract:: This article describes a structural system identification approach for the characterization of a novel retrofitting textile, the “Composite Seismic Wallpaper.” This polymeric textile was developed within the EU co-funded project Polytect as a full coverage method for increasing the Seismic resistance of masonry structures. Recently, the wallpaper has been full-scale tested, on a two storey building, at the Eucentre (Pavia) as part of the Seismic Engineering Research Infrastructures for European Synergies (SERIES) program. In this article, an advanced multistage identification methodology is proposed for the successful simulation of this novel material based on the results of the extensive experimental campaign. The identification is essentially formulated as an inverse problem that combines a Genetic Algorithm (GA) as the optimizer and a finite element (FE) model as the physical model of the structure. The aim is material characterization and modeling of the dynamic response of the structure; an issue which is nontrivial due to the intrinsic complexities associated with both masonry and polymers. The process outlined herein is successful in yielding a calibrated model that can more accurately capture the experimentally observed behavior of this three-dimensional full-scale test case.
Ron Hamburger - One of the best experts on this subject based on the ideXlab platform.
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proposed updates to the asce 41 nonlinear modeling parameters for wide flange steel columns in support of performance based Seismic Engineering
Journal of Structural Engineering-asce, 2019Co-Authors: Dimitrios G Lignos, Alexander Riley Hartloper, Ahmed Elkady, Gregory G Deierlein, Ron HamburgerAbstract:AbstractNonlinear static and dynamic analyses are utilized by engineers for performance-based Seismic risk evaluation of new and existing structures. In this context, nonlinear component modeling c...
C Fuggini - One of the best experts on this subject based on the ideXlab platform.
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combining genetic algorithms with a meso scale approach for system identification of a smart polymeric textile
Computer-aided Civil and Infrastructure Engineering, 2013Co-Authors: C Fuggini, Eleni Chatzi, D ZanganiAbstract:: This article describes a structural system identification approach for the characterization of a novel retrofitting textile, the “Composite Seismic Wallpaper.” This polymeric textile was developed within the EU co-funded project Polytect as a full coverage method for increasing the Seismic resistance of masonry structures. Recently, the wallpaper has been full-scale tested, on a two storey building, at the Eucentre (Pavia) as part of the Seismic Engineering Research Infrastructures for European Synergies (SERIES) program. In this article, an advanced multistage identification methodology is proposed for the successful simulation of this novel material based on the results of the extensive experimental campaign. The identification is essentially formulated as an inverse problem that combines a Genetic Algorithm (GA) as the optimizer and a finite element (FE) model as the physical model of the structure. The aim is material characterization and modeling of the dynamic response of the structure; an issue which is nontrivial due to the intrinsic complexities associated with both masonry and polymers. The process outlined herein is successful in yielding a calibrated model that can more accurately capture the experimentally observed behavior of this three-dimensional full-scale test case.
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combining genetic algorithms with a meso scale approach for system identification of a smart polymeric textile
Computer-aided Civil and Infrastructure Engineering, 2013Co-Authors: C Fuggini, Eleni Chatzi, D ZanganiAbstract:: This article describes a structural system identification approach for the characterization of a novel retrofitting textile, the “Composite Seismic Wallpaper.” This polymeric textile was developed within the EU co-funded project Polytect as a full coverage method for increasing the Seismic resistance of masonry structures. Recently, the wallpaper has been full-scale tested, on a two storey building, at the Eucentre (Pavia) as part of the Seismic Engineering Research Infrastructures for European Synergies (SERIES) program. In this article, an advanced multistage identification methodology is proposed for the successful simulation of this novel material based on the results of the extensive experimental campaign. The identification is essentially formulated as an inverse problem that combines a Genetic Algorithm (GA) as the optimizer and a finite element (FE) model as the physical model of the structure. The aim is material characterization and modeling of the dynamic response of the structure; an issue which is nontrivial due to the intrinsic complexities associated with both masonry and polymers. The process outlined herein is successful in yielding a calibrated model that can more accurately capture the experimentally observed behavior of this three-dimensional full-scale test case.
Dimitrios G Lignos - One of the best experts on this subject based on the ideXlab platform.
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proposed updates to the asce 41 nonlinear modeling parameters for wide flange steel columns in support of performance based Seismic Engineering
Journal of Structural Engineering-asce, 2019Co-Authors: Dimitrios G Lignos, Alexander Riley Hartloper, Ahmed Elkady, Gregory G Deierlein, Ron HamburgerAbstract:AbstractNonlinear static and dynamic analyses are utilized by engineers for performance-based Seismic risk evaluation of new and existing structures. In this context, nonlinear component modeling c...
Oreste S Bursi - One of the best experts on this subject based on the ideXlab platform.
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bouc wen type models with stiffness degradation thermodynamic analysis and applications
Journal of Engineering Mechanics-asce, 2008Co-Authors: Silvano Erlicher, Oreste S BursiAbstract:In this paper, a thermodynamic analysis of Bouc–Wen models endowed with both strength and stiffness degradation is provided. This analysis is based on the relationship between the flow rules of these models and those of the endochronic plasticity theory with damage, discussed in a companion paper. Using the theoretical framework of that extended endochronic theory, it is shown that an elastic Bouc–Wen model with damage, i.e., without plastic strains, can be formulated. Moreover, a proper definition of the dissipated energy of these Bouc–Wen models with degradation is given and some thermodynamic constraints on the parameters defining the models behavior are emphasized and discussed. In particular, some properties of the energetic linear stiffness degradation rule as well as the so-called pivot rule, well known in the Seismic Engineering field, are illustrated and commented upon. An improved energetic stiffness degradation rule and a new stiffness degradation rule are proposed.
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Bouc-Wen-type models with stiffness degradation: thermodynamic analysis and applications
Journal of Engineering Mechanics, 2008Co-Authors: Silvano Erlicher, Oreste S BursiAbstract:In this paper, a thermodynamic analysis of Bouc-Wen models endowed with both strength and stiffness degradation is provided. It is based on the relationship between the flow rules of these models and those of the endochronic plasticity theory with damage, discussed in a companion paper (Erlicher and Point, 2008). Using the theoretical framework of that extended endochronic theory, it is shown that an elastic Bouc-Wen model with damage, i.e. without plastic strains, can be formulated. Moreover, a proper definition of the dissipated energy of these Bouc-Wen models with degradation is given and some thermodynamic constraints on the parameters defining the models behavior are emphasized and discussed. In particular, some properties of the energetic linear stiffness degradation rule as well as the so-called pivot rule, well-known in the Seismic Engineering field, are illustrated and commented upon. An improved energetic stiffness degradation rule and a new stiffness degradation rule are proposed.
