Pub Date : 2021-09-09DOI: 10.23967/composites.2021.125
E. Ghane, M. Fagerström, M. Mirkhalaf
The composite design industry has a central demand to predict the elastic behavior of composites from their constituent properties and micromechanical information. In this case, the complex architecture of interlaced yarns in woven composites brings about challenges to accurately predict their mechanical behavior. Multiscale computational methods, often based on computational homogenization, have therefore been established to address the complexity in modeling woven composites. But for computational homogenization of woven composites, one needs to consider the microscale mechanical properties at every point inside a mesoscale unit cell. Based on the possible range of microstructural features, a plethora of research exists to generate random distributions of fibers in a microscopic representative volume element (RVE) and predict elastic properties using numerical methods, such as the finite element method [1,2]. But there is still a requirement to observe the whole possible microstructural design space based on any possible loading case and architecture in order to reach a generic model. Recently,
{"title":"On the use of artificial neural networks and micromechanical analysis for prediciting elastic properties of unidirectional composites","authors":"E. Ghane, M. Fagerström, M. Mirkhalaf","doi":"10.23967/composites.2021.125","DOIUrl":"https://doi.org/10.23967/composites.2021.125","url":null,"abstract":"The composite design industry has a central demand to predict the elastic behavior of composites from their constituent properties and micromechanical information. In this case, the complex architecture of interlaced yarns in woven composites brings about challenges to accurately predict their mechanical behavior. Multiscale computational methods, often based on computational homogenization, have therefore been established to address the complexity in modeling woven composites. But for computational homogenization of woven composites, one needs to consider the microscale mechanical properties at every point inside a mesoscale unit cell. Based on the possible range of microstructural features, a plethora of research exists to generate random distributions of fibers in a microscopic representative volume element (RVE) and predict elastic properties using numerical methods, such as the finite element method [1,2]. But there is still a requirement to observe the whole possible microstructural design space based on any possible loading case and architecture in order to reach a generic model. Recently,","PeriodicalId":392595,"journal":{"name":"VIII Conference on Mechanical Response of Composites","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114766476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.23967/composites.2021.033
I. Topalidis, B. E. Said, A. Thompson, S. Hallett
The multi-scale nature of woven composites can be clearly revealed by the strong dependency of the mechanical behaviour on morphological features of lower length scales. Geometrical irregularities in the yarn architecture, induced during the manufacturing stages, alter the mesoscopic material stress field, often dominating the overall material response. To adequately describe major internal geometrical features, common discretisation techniques require to dramatically increase the dimensionality of the problem leading to prohibitive computational demands. On the other hand, the applicability of multi-scale homogenisation techniques, developed to satisfy the need for model order reduction can be limited, due to the large unit cell size of certain weave styles and the loss of periodicity due to local material deformations. To address this, a computationally efficient macroscale modelling approach is proposed, employing a three-dimensional tessellation scheme to obtain a reduced order model that preserves important information about the internal material weave architecture and features. As an initial step, a kinematic, multi-chain beam model is used to acquire a realistic “as - woven” material internal yarn geometry, from which a surface model of the yarn segments is extracted. The yarn section surfaces feed a spatial tessellation algorithm to generate a set of collectively exhaustive and mutually exclusive polyhedral cells. To exploit the reduced complexity of the tessellated geometry, a mesh of n-faced polyhedral elements [1] is assembled to perform the numerical solution of the problem domain. The material model follows a multi-scale, bi-material homogenisation approach based on the local meso-structure and the mechanical properties of the two constituents; the fibre and the matrix. Inaccuracies in predicted results from conventional homogenisation techniques typically arise
{"title":"Multi-Scale Modelling of Heterogenous Textile Composite Structures over Polytopal Tessellated Domains","authors":"I. Topalidis, B. E. Said, A. Thompson, S. Hallett","doi":"10.23967/composites.2021.033","DOIUrl":"https://doi.org/10.23967/composites.2021.033","url":null,"abstract":"The multi-scale nature of woven composites can be clearly revealed by the strong dependency of the mechanical behaviour on morphological features of lower length scales. Geometrical irregularities in the yarn architecture, induced during the manufacturing stages, alter the mesoscopic material stress field, often dominating the overall material response. To adequately describe major internal geometrical features, common discretisation techniques require to dramatically increase the dimensionality of the problem leading to prohibitive computational demands. On the other hand, the applicability of multi-scale homogenisation techniques, developed to satisfy the need for model order reduction can be limited, due to the large unit cell size of certain weave styles and the loss of periodicity due to local material deformations. To address this, a computationally efficient macroscale modelling approach is proposed, employing a three-dimensional tessellation scheme to obtain a reduced order model that preserves important information about the internal material weave architecture and features. As an initial step, a kinematic, multi-chain beam model is used to acquire a realistic “as - woven” material internal yarn geometry, from which a surface model of the yarn segments is extracted. The yarn section surfaces feed a spatial tessellation algorithm to generate a set of collectively exhaustive and mutually exclusive polyhedral cells. To exploit the reduced complexity of the tessellated geometry, a mesh of n-faced polyhedral elements [1] is assembled to perform the numerical solution of the problem domain. The material model follows a multi-scale, bi-material homogenisation approach based on the local meso-structure and the mechanical properties of the two constituents; the fibre and the matrix. Inaccuracies in predicted results from conventional homogenisation techniques typically arise","PeriodicalId":392595,"journal":{"name":"VIII Conference on Mechanical Response of Composites","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123586837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.23967/composites.2021.038
B. Arash, R. Rolfes
The computational modeling of fracture in the nanocomposites requires an accurate prediction of crack initiation and propagation in the materials. For this, generalizing Griffith’s theory, phase-field fracture models (PFMs) provide variational fracture models by minimizing potential energy that consists of stored bulk energy, the work of external forces, and the surface energy [1, 2]. This work presents the development of a finite deformation PFM to analyze the viscoelastic behavior of boehmite nanoparticle/epoxy nanocomposites. To characterize the rate-dependent fracture evolution, the free energy is additively decomposed into an equilibrium, a non-equilibrium, and a volumetric part with a varying definition under tensile and compressive deformation. Furthermore, the Guth–Gold and modified Kitagawa models are adopted to consider the effect of the nanoparticle contents and temperature on the nanocomposites’ fracture behavior. The applicability of the proposed model is evaluated by comparing the numerical results of compact-tension tests with experimental data. The experimental–numerical validation justifies the predictive capability of the model. Numerical simulations are also performed to study the effect of temperature and loading rate on the force-displacement response of boehmite nanoparticle/epoxy samples in the compacttension tests.
{"title":"A Finite Deformation Phase-Field Fracture Model for Nanoparticle/Polymer Composites","authors":"B. Arash, R. Rolfes","doi":"10.23967/composites.2021.038","DOIUrl":"https://doi.org/10.23967/composites.2021.038","url":null,"abstract":"The computational modeling of fracture in the nanocomposites requires an accurate prediction of crack initiation and propagation in the materials. For this, generalizing Griffith’s theory, phase-field fracture models (PFMs) provide variational fracture models by minimizing potential energy that consists of stored bulk energy, the work of external forces, and the surface energy [1, 2]. This work presents the development of a finite deformation PFM to analyze the viscoelastic behavior of boehmite nanoparticle/epoxy nanocomposites. To characterize the rate-dependent fracture evolution, the free energy is additively decomposed into an equilibrium, a non-equilibrium, and a volumetric part with a varying definition under tensile and compressive deformation. Furthermore, the Guth–Gold and modified Kitagawa models are adopted to consider the effect of the nanoparticle contents and temperature on the nanocomposites’ fracture behavior. The applicability of the proposed model is evaluated by comparing the numerical results of compact-tension tests with experimental data. The experimental–numerical validation justifies the predictive capability of the model. Numerical simulations are also performed to study the effect of temperature and loading rate on the force-displacement response of boehmite nanoparticle/epoxy samples in the compacttension tests.","PeriodicalId":392595,"journal":{"name":"VIII Conference on Mechanical Response of Composites","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129753266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.23967/composites.2021.041
T. Genco, M. Linke, R. Lammering
The mechanical and electrical properties of epoxy resin-based composites can be remarkably improved by adding carbon nanotubes (CNTs). Due to the fact that CNTs are mechanically very stable, light and electrically conductive, a variation of their filling level in a composite matrix could significantly influence the above mentioned properties [1]. For this reason, CNT-enriched composites might offer great potential for the development of structurally integrated electronics used in structural health monitoring (SHM). This allows timely detection of structural damage, seen as an important issue in many fields such as aerospace, automotive, marine and sports equipment [2].
{"title":"On the Optimization of Carbon Nanotube-Enriched Multifunctional Composites: Mechanical and Electrical Approach","authors":"T. Genco, M. Linke, R. Lammering","doi":"10.23967/composites.2021.041","DOIUrl":"https://doi.org/10.23967/composites.2021.041","url":null,"abstract":"The mechanical and electrical properties of epoxy resin-based composites can be remarkably improved by adding carbon nanotubes (CNTs). Due to the fact that CNTs are mechanically very stable, light and electrically conductive, a variation of their filling level in a composite matrix could significantly influence the above mentioned properties [1]. For this reason, CNT-enriched composites might offer great potential for the development of structurally integrated electronics used in structural health monitoring (SHM). This allows timely detection of structural damage, seen as an important issue in many fields such as aerospace, automotive, marine and sports equipment [2].","PeriodicalId":392595,"journal":{"name":"VIII Conference on Mechanical Response of Composites","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125702204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.23967/composites.2021.079
M. Schasching, R. Duy, T. Ceglar, M. Todt, H. Pettermann
Wrinkling of thin stretched laminated strips made of fiber reinforced elastomers is studied by means of the finite element method. The constitutive behavior of the individual plies is modeled using the Holzapfel-Gasser-Ogden (HGO) model [1] for which the material parameters are calibrated from experiments by employing a micromechanics based approach. Linear eigenvalue analyses under consideration of a pre-loading are used to evaluate the critical tensile loads of the laminated strips as well as the mode shapes, i.e., the wrinkling patterns at the onset of buckling. Furthermore, a load-displacement analysis employing a moderately imperfect strip is used to study the influence of the layup on the evolution of the wrinkling pattern in the post-buckling regime in terms of wrinkling amplitude and the orientation of the wrinkles with respect to the material principal axes as exemplified in Figure 1. The obtained results can, e.g., serve as basis for designing structures with tunable surface behavior [2].
{"title":"Simulation of The Wrinkling of Thin Hyperelastic Composite Strips under Global Tensile Loading","authors":"M. Schasching, R. Duy, T. Ceglar, M. Todt, H. Pettermann","doi":"10.23967/composites.2021.079","DOIUrl":"https://doi.org/10.23967/composites.2021.079","url":null,"abstract":"Wrinkling of thin stretched laminated strips made of fiber reinforced elastomers is studied by means of the finite element method. The constitutive behavior of the individual plies is modeled using the Holzapfel-Gasser-Ogden (HGO) model [1] for which the material parameters are calibrated from experiments by employing a micromechanics based approach. Linear eigenvalue analyses under consideration of a pre-loading are used to evaluate the critical tensile loads of the laminated strips as well as the mode shapes, i.e., the wrinkling patterns at the onset of buckling. Furthermore, a load-displacement analysis employing a moderately imperfect strip is used to study the influence of the layup on the evolution of the wrinkling pattern in the post-buckling regime in terms of wrinkling amplitude and the orientation of the wrinkles with respect to the material principal axes as exemplified in Figure 1. The obtained results can, e.g., serve as basis for designing structures with tunable surface behavior [2].","PeriodicalId":392595,"journal":{"name":"VIII Conference on Mechanical Response of Composites","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130451674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.23967/composites.2021.098
A. Sasikumar, I. Cózar, O. Vallmajó, S. Abdel-Monsef, M. Delozzo, A. Turón
{"title":"Estimation of Sensitive Material Properties of an Open Hole Tension Test of Composite Laminates","authors":"A. Sasikumar, I. Cózar, O. Vallmajó, S. Abdel-Monsef, M. Delozzo, A. Turón","doi":"10.23967/composites.2021.098","DOIUrl":"https://doi.org/10.23967/composites.2021.098","url":null,"abstract":"","PeriodicalId":392595,"journal":{"name":"VIII Conference on Mechanical Response of Composites","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131765794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.23967/composites.2021.061
R. Richstein, T. Reichartz, A. Janetzko-Preisler, K. Schroeder
{"title":"Methodical Development of a Structural Health Monitoring System for COPV Supported by a Digital Shadow.","authors":"R. Richstein, T. Reichartz, A. Janetzko-Preisler, K. Schroeder","doi":"10.23967/composites.2021.061","DOIUrl":"https://doi.org/10.23967/composites.2021.061","url":null,"abstract":"","PeriodicalId":392595,"journal":{"name":"VIII Conference on Mechanical Response of Composites","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133300951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.23967/composites.2021.029
R. Auenhammer, Lars Pilgaard Mikkelsen, C. Oddy, R. Larsson, L. Asp
{"title":"Local Fibre Orientation and Fibre Volume Fraction Mapped Numerical Models Based on X-ray Computer Tomography Scans","authors":"R. Auenhammer, Lars Pilgaard Mikkelsen, C. Oddy, R. Larsson, L. Asp","doi":"10.23967/composites.2021.029","DOIUrl":"https://doi.org/10.23967/composites.2021.029","url":null,"abstract":"","PeriodicalId":392595,"journal":{"name":"VIII Conference on Mechanical Response of Composites","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127457591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.23967/composites.2021.113
I. Zaafouri, M. Zrida, H. Laurent, A. Hamzaoui
{"title":"PolyHydroxyAlkanoates/ Alfa Fibers Bio-Composites: Elaboration and Mechanical Testing","authors":"I. Zaafouri, M. Zrida, H. Laurent, A. Hamzaoui","doi":"10.23967/composites.2021.113","DOIUrl":"https://doi.org/10.23967/composites.2021.113","url":null,"abstract":"","PeriodicalId":392595,"journal":{"name":"VIII Conference on Mechanical Response of Composites","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122371963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-01DOI: 10.23967/composites.2021.031
T. Ceglar, H. Pettermann
{"title":"Homogenization of Fiber Reinforced Elastomer Laminates","authors":"T. Ceglar, H. Pettermann","doi":"10.23967/composites.2021.031","DOIUrl":"https://doi.org/10.23967/composites.2021.031","url":null,"abstract":"","PeriodicalId":392595,"journal":{"name":"VIII Conference on Mechanical Response of Composites","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128855611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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