Author: Hector Jensen
Publisher: Springer
ISBN: 3030128199
Category : Science
Languages : en
Pages : 231
Book Description
This book combines a model reduction technique with an efficient parametrization scheme for the purpose of solving a class of complex and computationally expensive simulation-based problems involving finite element models. These problems, which have a wide range of important applications in several engineering fields, include reliability analysis, structural dynamic simulation, sensitivity analysis, reliability-based design optimization, Bayesian model validation, uncertainty quantification and propagation, etc. The solution of this type of problems requires a large number of dynamic re-analyses. To cope with this difficulty, a model reduction technique known as substructure coupling for dynamic analysis is considered. While the use of reduced order models alleviates part of the computational effort, their repetitive generation during the simulation processes can be computational expensive due to the substantial computational overhead that arises at the substructure level. In this regard, an efficient finite element model parametrization scheme is considered. When the division of the structural model is guided by such a parametrization scheme, the generation of a small number of reduced order models is sufficient to run the large number of dynamic re-analyses. Thus, a drastic reduction in computational effort is achieved without compromising the accuracy of the results. The capabilities of the developed procedures are demonstrated in a number of simulation-based problems involving uncertainty.
Sub-structure Coupling for Dynamic Analysis
Author: Hector Jensen
Publisher: Springer
ISBN: 3030128199
Category : Science
Languages : en
Pages : 231
Book Description
This book combines a model reduction technique with an efficient parametrization scheme for the purpose of solving a class of complex and computationally expensive simulation-based problems involving finite element models. These problems, which have a wide range of important applications in several engineering fields, include reliability analysis, structural dynamic simulation, sensitivity analysis, reliability-based design optimization, Bayesian model validation, uncertainty quantification and propagation, etc. The solution of this type of problems requires a large number of dynamic re-analyses. To cope with this difficulty, a model reduction technique known as substructure coupling for dynamic analysis is considered. While the use of reduced order models alleviates part of the computational effort, their repetitive generation during the simulation processes can be computational expensive due to the substantial computational overhead that arises at the substructure level. In this regard, an efficient finite element model parametrization scheme is considered. When the division of the structural model is guided by such a parametrization scheme, the generation of a small number of reduced order models is sufficient to run the large number of dynamic re-analyses. Thus, a drastic reduction in computational effort is achieved without compromising the accuracy of the results. The capabilities of the developed procedures are demonstrated in a number of simulation-based problems involving uncertainty.
Publisher: Springer
ISBN: 3030128199
Category : Science
Languages : en
Pages : 231
Book Description
This book combines a model reduction technique with an efficient parametrization scheme for the purpose of solving a class of complex and computationally expensive simulation-based problems involving finite element models. These problems, which have a wide range of important applications in several engineering fields, include reliability analysis, structural dynamic simulation, sensitivity analysis, reliability-based design optimization, Bayesian model validation, uncertainty quantification and propagation, etc. The solution of this type of problems requires a large number of dynamic re-analyses. To cope with this difficulty, a model reduction technique known as substructure coupling for dynamic analysis is considered. While the use of reduced order models alleviates part of the computational effort, their repetitive generation during the simulation processes can be computational expensive due to the substantial computational overhead that arises at the substructure level. In this regard, an efficient finite element model parametrization scheme is considered. When the division of the structural model is guided by such a parametrization scheme, the generation of a small number of reduced order models is sufficient to run the large number of dynamic re-analyses. Thus, a drastic reduction in computational effort is achieved without compromising the accuracy of the results. The capabilities of the developed procedures are demonstrated in a number of simulation-based problems involving uncertainty.
Sub-structure Coupling for Dynamic Analysis
Author: Hector Jensen
Publisher:
ISBN: 9783030128203
Category : Electronic books
Languages : en
Pages :
Book Description
This book combines a model reduction technique with an efficient parametrization scheme for the purpose of solving a class of complex and computationally expensive simulation-based problems involving finite element models. These problems, which have a wide range of important applications in several engineering fields, include reliability analysis, structural dynamic simulation, sensitivity analysis, reliability-based design optimization, Bayesian model validation, uncertainty quantification and propagation, etc. The solution of this type of problems requires a large number of dynamic re-analyses. To cope with this difficulty, a model reduction technique known as substructure coupling for dynamic analysis is considered. While the use of reduced order models alleviates part of the computational effort, their repetitive generation during the simulation processes can be computational expensive due to the substantial computational overhead that arises at the substructure level. In this regard, an efficient finite element model parametrization scheme is considered. When the division of the structural model is guided by such a parametrization scheme, the generation of a small number of reduced order models is sufficient to run the large number of dynamic re-analyses. Thus, a drastic reduction in computational effort is achieved without compromising the accuracy of the results. The capabilities of the developed procedures are demonstrated in a number of simulation-based problems involving uncertainty.
Publisher:
ISBN: 9783030128203
Category : Electronic books
Languages : en
Pages :
Book Description
This book combines a model reduction technique with an efficient parametrization scheme for the purpose of solving a class of complex and computationally expensive simulation-based problems involving finite element models. These problems, which have a wide range of important applications in several engineering fields, include reliability analysis, structural dynamic simulation, sensitivity analysis, reliability-based design optimization, Bayesian model validation, uncertainty quantification and propagation, etc. The solution of this type of problems requires a large number of dynamic re-analyses. To cope with this difficulty, a model reduction technique known as substructure coupling for dynamic analysis is considered. While the use of reduced order models alleviates part of the computational effort, their repetitive generation during the simulation processes can be computational expensive due to the substantial computational overhead that arises at the substructure level. In this regard, an efficient finite element model parametrization scheme is considered. When the division of the structural model is guided by such a parametrization scheme, the generation of a small number of reduced order models is sufficient to run the large number of dynamic re-analyses. Thus, a drastic reduction in computational effort is achieved without compromising the accuracy of the results. The capabilities of the developed procedures are demonstrated in a number of simulation-based problems involving uncertainty.
Substructure coupling for dynamic analysis
Author: Ching-Jone Chang
Publisher:
ISBN:
Category : Coupled mode theory
Languages : en
Pages : 88
Book Description
Publisher:
ISBN:
Category : Coupled mode theory
Languages : en
Pages : 88
Book Description
A General Procedure for Substructure Coupling in Dynamic Analysis
Author: Ching-Jone Chang
Publisher:
ISBN:
Category : Structural analysis (Engineering)
Languages : en
Pages : 258
Book Description
Publisher:
ISBN:
Category : Structural analysis (Engineering)
Languages : en
Pages : 258
Book Description
Substructure Coupling for Dynamic Analysis and Testing
Author: Roy R. Craig
Publisher:
ISBN:
Category : Structural dynamics
Languages : en
Pages : 100
Book Description
Publisher:
ISBN:
Category : Structural dynamics
Languages : en
Pages : 100
Book Description
Substructure coupling for dynamic analysis and testing
Author: Roy R. Craig
Publisher:
ISBN:
Category : Structural dynamics
Languages : en
Pages : 104
Book Description
Publisher:
ISBN:
Category : Structural dynamics
Languages : en
Pages : 104
Book Description
On the Use of Attachment Modes in Substructure Coupling for Dynamic Analysis
Author: Roy R. Craig
Publisher:
ISBN:
Category :
Languages : en
Pages : 11
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 11
Book Description
Substructure coupling for dynamic analysis and testing
Author: Roy R. Craig
Publisher:
ISBN:
Category : Structural dynamics
Languages : en
Pages : 100
Book Description
Publisher:
ISBN:
Category : Structural dynamics
Languages : en
Pages : 100
Book Description
Substructure Coupling for Dynamci Analysis and Testing
Author: Roy R. Craig
Publisher:
ISBN:
Category :
Languages : en
Pages : 89
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 89
Book Description
Dynamic Analysis of Coupled Substructures Using Experimentally-based Component Mode Synthesis
Author: Jeffrey Alan Morgan
Publisher:
ISBN:
Category : Coupled mode theory
Languages : en
Pages : 492
Book Description
Publisher:
ISBN:
Category : Coupled mode theory
Languages : en
Pages : 492
Book Description