Skip to Main content Skip to Navigation
Theses

Bioinspired materials : Optimization of the mechanical behavior using Discrete Element Method

Abstract : Natural materials such as bone and the nacre of some seashells are made of relatively weak building blocks and yet often exhibit remarkable combinations of stiffness, strength, and toughness. Such performances are due in large part to their brick and mortar architectures. Many efforts are devoted to translate these design principles into synthetic materials. However, much of the progress is based on trial-and-error approaches, which are time consuming and do not guarantee that an optimum is achieved.Modeling is an appealing alternative to guide the design and processing routes of such materials. In this work, we develop a numerical model based on Discrete Element Method (DEM) to understand the reinforcement mechanisms and optimize the mechanical properties of nacre-like materials based on their microstructural parameters. The model follows the crack propagation, accounts for different reinforcement mechanisms, and quantitatively assess stiffness, strength, and toughness. An interesting approach, based on EBSD imaging, is presented to model the real material and its different microstructural variations. Results are then combined to provide design guidelines for synthetic brick-and-mortar composites comprising with only brittle constituents.
Complete list of metadatas

Cited literature [151 references]  Display  Hide  Download

https://tel.archives-ouvertes.fr/tel-02446727
Contributor : Abes Star :  Contact
Submitted on : Tuesday, January 21, 2020 - 10:09:09 AM
Last modification on : Wednesday, October 7, 2020 - 1:16:03 PM
Long-term archiving on: : Wednesday, April 22, 2020 - 4:38:42 PM

File

RADI_2019_archivage.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-02446727, version 1

Collections

Citation

Kaoutar Radi. Bioinspired materials : Optimization of the mechanical behavior using Discrete Element Method. Mechanics of the solides [physics.class-ph]. Université Grenoble Alpes, 2019. English. ⟨NNT : 2019GREAI066⟩. ⟨tel-02446727⟩

Share

Metrics

Record views

212

Files downloads

79