Multifidelity multiscale modeling of nanocomposites for microstructure and macroscale analysis
| Autor: | Ashwin Rai, Aditi Chattopadhyay |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
chemistry.chemical_classification
business.product_category Nanocomposite Materials science 02 engineering and technology Polymer Carbon nanotube 021001 nanoscience & nanotechnology Orthotropic material Microstructure Multiscale modeling law.invention 020303 mechanical engineering & transports 0203 mechanical engineering chemistry law Microfiber Ceramics and Composites Composite material 0210 nano-technology business Microscale chemistry Civil and Structural Engineering |
| Zdroj: | Composite Structures. 200:204-216 |
| ISSN: | 0263-8223 |
| DOI: | 10.1016/j.compstruct.2018.05.075 |
| Popis: | A high-fidelity multiscale modeling framework that integrates information from atomistic simulations pertaining to polymer chain sliding and bond dissociation is utilized to study damage evolution and failure in carbon nanotube (CNT)-reinforced nanocomposites. The nanocomposite constituents (microfiber, polymer, and CNTs) are explicitly modeled at the microscale using representative unit cells (RUCs). The modeled constituents are subsequently employed in a multiscale framework to describe damage initiation and propagation in these systems under transverse loading. Two CNT architectures, randomly dispersed and radially grown, are investigated. Damage initiation sites and damage evolution trends are studied, with results indicating that the presence of CNTs causes a unique stress state at the sub-microscale. This can lead to accelerated damage progression, which can be mitigated by architectural reconfiguration of the CNTs. Additionally, the Schapery potential theory is extended to develop an orthotropic nonlinear damage model that captures global behavior of the nanocomposite RUCs in a computationally efficient manner, and can be utilized as a numerical surrogate for structural scale nanocomposite analysis. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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