报告题目：Modelling of Dynamic Behavior of Metals, Polymers and their Multilayered Structures
报告人：法国斯特拉斯堡大学Said Ahzi
报告时间：2019年11月7日（周四）上午9：00～9：40
地点：威廉希尔316报告厅
111引智基地邀请报告，欢迎广大师生参加！
主讲人简介：
Said Ahzi教授是法国斯特拉斯堡大学特聘教授;卡塔尔哈马德·本·哈利法大学教授;卡塔尔环境和能源研究所研究主任。Ahzi博士曾担任科学技术专业研究所副所长，工业工程项目主任。他还是流体和固体力学研究所/CNRS材料加工和微观结构研究小组的创始人。Ahzi博士曾在美国担任其他学术职位，包括:克莱姆森大学机械工程助理/副教授，圣地亚哥加利福尼亚大学应用力学和工程科学系的研究科学家和讲师。Ahzi博士在亚特兰大乔治亚理工学院和德州农工大学站担任兼职教授。Ahzi博士为大约30位博士、25位硕士提供咨询，并担任了6次habil的科学顾问/担保人。研究领域包括材料力学、增材制造、生物力学、计算力学、微纳米力学等。同时担任多个SCI期刊副主编、编委，合作出版5本专著，在JMPS、IJSS、IJP、AM等期刊发表科学论文300余篇，总被引频次约7500次，h指数43。
报告摘要：
The present work deals with the development of a theoretical and numerical model to evaluate the dynamic response of a metal/polymer multilayer structure. The metallic and polymeric materials are assembled using an epoxy resin. The mechanical behavior of these three materials has been studied over wide ranges of strain rates (from 0.0001 / s to 50,000 / s) and temperatures (from -70 °C to 500 °C) corresponding to the extreme conditions encountered during impacts at high velocities. For this, analytical approaches have been developed for the modeling of the metal and for the polymers. After the calibration of the models, these models were implemented in the finite element code ABAQUS®. We will also discuss the results from the developed approaches for the metallic materials as well as the results for the polymer materials. For the metallic materials, we developed a Crystallo-Calorific Hardening (CCH) approach for the yield behavior that accounts for the crystalline structure of the considered material. For the polymer materials, we used the cooperative model to predict the yield stress under a wide range of strain rates and temperature. The predicted results will be discussed in terms of the stress-strain response and failure analysis with comparison to experimental results.
报告题目：Reconstruction, Design and Homogenization of Heterogeneous materials
报告人：伊朗德黑兰大学Majid Baniassadi
报告时间：2019年11月7日（周四）上午9：40～10：30
地点：威廉希尔316报告厅
111引智基地邀请报告，欢迎广大师生参加！
主讲人简介：
Majid Baniassadi教授是伊朗德黑兰大学机械工程学院的副教授。他拥有斯特拉斯堡大学材料力学博士学位(2011年)。他在德黑兰大学获得硕士学位(2007年)，在伊斯法罕理工大学获得学士学位(2004年)，专业是机械工程。他的研究领域包括多尺度分析和非均质材料的微观力学。自2012年以来，他一直是《能源设备与系统杂志》(Journal of Energy Equipment and Systems)的代理编辑。迄今为止，他已经发表了100多篇科学期刊论文，并作为不同国际科学期刊的审稿人。此外，自2008年以来，他一直是伊朗国家精英基金会的成员。
报告摘要：
Statistical correlation functions are a well-known class of statistical descriptors that can be used to describe the morphology and the microstructure properties relationship. In this talk, we explain how to use these statistical functions for the reconstruction and design heterogenous materials. Correlation functions are measured from different techniques such as microscopy (SEM or TEM), small angle X-ray scattering (SAXS) and can be generated through Monte Carlo simulations. In this presentation, different experimental techniques such as SAXS and image processing are presented, which are used to measure statistical function correlation for multiphase polymer composites.
Finally, reconstructed microstructure is used to generate new design metamaterials with different applications.
报告题目：Modeling, Simulation and Structural Analysis of Shape Memory Polymers
报告人：伊朗德黑兰大学Mostafa Baghani
报告时间：2019年11月7日（周四）上午10：30～11：10
地点：威廉希尔316报告厅
111引智基地邀请报告，欢迎广大师生参加！
主讲人简介：
Mostafa Baghani教授是伊朗德黑兰大学机械工程学院的副教授。2012年在谢里夫理工大学获得机械工程博士学位。他在同一所大学获得了硕士学位(2008年)，在德黑兰大学获得了机械工程学士学位(2006年)。他的研究领域包括计算力学、软智能材料的本构模型开发和工程分析方法。到目前为止，他已经发表了120多篇科学期刊论文，并积极担任多家国际科学期刊的审稿人。2018年，他还获得了400名40岁以下教职工的最佳青年研究员奖。此外，自2008年以来，他一直是伊朗国家精英基金会的成员。
报告摘要：
In this presentation, after giving an introduction on Shape-memory-polymers, some examples of our researches are going to be discussed briefly. Most of these works deal with constitutive model developments and their numerical implementation in nonlinear finite element method.
-Shape-memory-polymers: a constitutive model based on phase transition approach
-Shape-memory-polymers: a constitutive model based on thermo-visco-hyperelastic approach
-An experimental investigation on structural design of Shape-memory-polymers
-Modeling and homogenization of Shape-memory-polymers nanocomposites
-Homogenization of coiled carbon nanotube reinforced Shape-memory-polymers
-Smart auxetic 3D meta-structures based on Shape-memory-polymers by topology optimization
-Shape-memory characterization of poly(ε-caprolactone) (PCL)/polyurethane (PU) in combined torsion-tension loading
Some other material models developed for other types of soft materials, such as time-dependent behavior of elastomer, self-healing polymer, and smart hydrogel are only mentioned for the sake of completeness.
