Optimization of hybrid thermoplastic composite structures using surrogate models and genetic algorithms

2007 ◽  
Vol 80 (1) ◽  
pp. 21-31 ◽  
Author(s):  
N. Jansson ◽  
W.D. Wakeman ◽  
J.-A.E. Månson
Keyword(s):  
Genetic Algorithms ◽  
Composite Structures ◽  
Surrogate Models ◽  
Thermoplastic Composite

Numerical Simulation of Thermoplastic Composite Material by ANSYS

2011 ◽  
Vol 279 ◽  
pp. 181-185 ◽  
Author(s):  
Guo Hua Zhao ◽  
Qing Lian Shu ◽  
Bo Sheng Huang
Keyword(s):  
Numerical Simulation ◽  
Composite Material ◽  
Composite Structures ◽  
Material Model ◽  
General Purpose ◽  
Thermoplastic Composite ◽  
Finite Element Code ◽  
Peek Composite ◽  
Test Result ◽  
Good Agreement

This paper proposes a material model of AS4/PEEK, a typical thermoplastic composite material, for the general purpose finite element code—ANSYS, which can be used to predict the mechanical behavior of AS4/PEEK composite structures. The computational result using this model has a good agreement with the test result. This investigation can lay the foundation for the numerical simulation of thermoplastic composite structures.

Integrating Genetic Algorithms and the Finite Element Analysis for Structural Inverse Problems

2011 ◽  
pp. 136-146
Author(s):  
D. C. Panni ◽  
A. D. Nurse
Keyword(s):  
Finite Element ◽  
Genetic Algorithms ◽  
Inverse Problems ◽  
Static Loading ◽  
Composite Structures ◽  
Specific Reference ◽  
Element Analysis ◽  
The Third ◽  
The Finite Element Analysis ◽  
Physical Response

A general method for integrating genetic algorithms within a commercially available finite element (FE) package to solve a range of structural inverse problems is presented. The described method exploits a user-programmable interface to control the genetic algorithm from within the FE package. This general approach is presented with specific reference to three illustrative system identification problems. In two of these the aim is to deduce the damaged state of composite structures from a known physical response to a given static loading. In the third the manufactured lay-up of a composite component is designed using the proposed methodology.

Industrial Constraints Handling With a GA Approach in Multiobjective Optimization of a Composite Material

2008 ◽  
Author(s):  
David H. Bassir ◽  
WeiHong Zhang ◽  
Jose´ L. Zapico
Keyword(s):  
Genetic Algorithms ◽  
Composite Material ◽  
Multiobjective Optimization ◽  
Composite Structures ◽  
Laminated Composite ◽  
Constraints Handling ◽  
Laminated Composite Structures ◽  
Technological Constraints

In this article, complexities related to the multicriteria (multiobjective) optimization of laminated composite structures subjected to technological constraints we will be presented. So, various technological constraints will be presented and a strategy of handling each constraint (in order to use the multiobjective optimization tools based on genetic algorithms) will be also introduced.

Linear Two-Port Model of an Active Thermoplastic Composite Structure

2013 ◽  
Author(s):  
Anja Winkler ◽  
Uwe Marschner ◽  
Eric Starke ◽  
Niels Modler ◽  
Wolf-Joachim Fischer ◽  
...  
Keyword(s):  
Composite Structure ◽  
Manufacturing Process ◽  
Composite Structures ◽  
Matrix Material ◽  
Manufacturing Technology ◽  
Experimental Results ◽  
Thermoplastic Composite ◽  
Starting Point ◽  
Modal Behavior ◽  
Active Composite

This paper describes new active composite structures based on thermoplastic matrices which contain material homogeneous embedded piezoceramic modules. Starting point is the development of novel thermoplastic compatible piezoceramic modules, so called TPMs. By the utilization of the same matrix material for the composite structure and for the TPM carrier films, these modules afford an opportunity to become directly embedded into the component during its manufacturing process. In this context, the manufacturing technology of the TPMs and of the active composite structure is presented. Furthermore, selected test samples are investigated concerning their modal behavior. Based on the determined characteristics a linear two-port model is used for the reproduction of the experimental results.

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