Substructure Coupling for Dynamic Analysis and Testing
Author: Roy R. Craig
Publisher:
Published: 1977
Total Pages: 100
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author: Roy R. Craig
Publisher:
Published: 1977
Total Pages: 100
ISBN-13:
DOWNLOAD EBOOKAuthor: Roy R. Craig
Publisher:
Published: 1977
Total Pages: 104
ISBN-13:
DOWNLOAD EBOOKAuthor: Hector Jensen
Publisher: Springer
Published: 2019-03-26
Total Pages: 231
ISBN-13: 3030128199
DOWNLOAD EBOOKThis 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.
Author: Roy R. Craig
Publisher:
Published: 1977
Total Pages: 100
ISBN-13:
DOWNLOAD EBOOKAuthor: Roy R. Craig
Publisher:
Published: 1977
Total Pages: 89
ISBN-13:
DOWNLOAD EBOOKAuthor: Hector Jensen
Publisher:
Published: 2019
Total Pages:
ISBN-13: 9783030128203
DOWNLOAD EBOOKThis 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.
Author: Ching-Jone Chang
Publisher:
Published: 1975
Total Pages: 88
ISBN-13:
DOWNLOAD EBOOKAuthor: Ching-Jone Chang
Publisher:
Published: 1977
Total Pages: 258
ISBN-13:
DOWNLOAD EBOOKAuthor: Matthew S. Allen
Publisher: Springer
Published: 2019-08-01
Total Pages: 284
ISBN-13: 3030255328
DOWNLOAD EBOOKThis book reviews the most common state-of-the art methods for substructuring and model reduction and presents a framework that encompasses most method, highlighting their similarities and differences. For example, popular methods such as Component Mode Synthesis, Hurty/Craig-Bampton, and the Rubin methods, which are popular within finite element software, are reviewed. Similarly, experimental-to-analytical substructuring methods such as impedance/frequency response based substructuring, modal substructuring and the transmission simulator method are presented. The overarching mathematical concepts are reviewed, as well as practical details needed to implement the methods. Various examples are presented to elucidate the methods, ranging from academic examples such as spring-mass systems, which serve to clarify the concepts, to real industrial case studies involving automotive and aerospace structures. The wealth of examples presented reveal both the potential and limitations of the methods.
Author: Matt Allen
Publisher: Springer Science & Business
Published: 2014-04-16
Total Pages: 466
ISBN-13: 3319045016
DOWNLOAD EBOOKThis first volume of eight from the IMAC-XXXII Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on: Linear Systems Substructure Modelling Adaptive Structures Experimental Techniques Analytical Methods Damage Detection Damping of Materials & Members Modal Parameter Identification Modal Testing Methods System Identification Active Control Modal Parameter Estimation Processing Modal Data