US-Colombia Planning Visit: Application of Stochastically Generated Material Properties in Numerical Simulations of Advanced Performance Testing

该奖项支持主要研究者前往哥伦比亚，与哥伦比亚波哥大的Universidad de Los安第斯山脉的Silvia Caro博士和加利福尼亚州洛杉矶的Road Sciences Corporation的Sara Alzate女士开展合作。 合作的主题是在沥青混凝土先进实验室测试的数值模拟中使用随机生成的材料特性。 数值模拟将解决材料特性的可变性。 使用随机建模将允许考虑微观结构的实际特性及其对材料响应的影响。会议还将为学生从事国际研究和交流制定一个框架。 除了学术研究外，预计还会给工业带来好处。

This award supports travel by the Principal Investigator to Colombia to initiate a collaboration with Dr. Silvia Caro of the Universidad de Los Andes in Bogota, Colombia, and Ms. Sara Alzate of Road Sciences Corporation in Los Angeles, CA. The topic of the collaboration is to use stochastically generated material properties in numerical simulations of advanced lab tests of asphalt concrete. The numerical simulations will address the variability of material properties. The use of stochastic modeling will allow consideration of the actual characteristics of the microstructure and its impact on the response of the material. The meeting will also develop a framework for students to engage in international research and exchanges. In addition to the academic studies, benefits to industry are anticipated.