CAREER: Research and Education on Advanced Multiscale Modeling-Analysis of Roadway Materials, Mixtures, and Infrastructure Systems

职业生涯：高级多尺度建模的研究和教育-道路材料、混合料和基础设施系统的分析PI：Yong-Rak Kim(内布拉斯加州大学林肯分校)摘要这个职业项目整合了研究和教育项目，将重点放在道路材料和基础设施系统上，以开发一个多尺度计算模型和相关的实验程序，准确预测一般颗粒复合材料，特别是沥青复合材料和路面的损坏和失效。其总体目标是在各种土木工程土工材料和基础设施系统的建模、分析和设计方面寻求最先进的进展。这项工作的核心是提出的多尺度计算方法，该方法仅使用混合物成分的基本性质来预测整个结构的损伤相关行为和使用寿命。该方法最大限度地减少了建模工作量/成本，并比当前的现象学方法产生了更准确的模拟。通过成功地将微观结构响应与宏观性能联系起来，这项研究将为更好地理解和清楚地研究组成层次的材料现象及其对非弹性-非线性结构性能和损伤的相互作用。与这些研究工作相辅相成的是，通过一个教育项目培训新的工程师，该项目将新技术和实验室无缝地融入课堂，将实验与工程基础相结合，并让学生，特别是那些在STEM中传统上代表人数较少的群体参与土木工程。基于这项研究的基本结果，道路工程师和从业者可以改进传统的指导方针，以更合适的方式选择混合料成分，并能够改进当前的混合料设计概念、材料模型和性能预测模型，最终导致混合料/结构设计的改进。此外，这项研究还可能适用于其他具有损伤相关的非线性非弹性力学行为的情况，如地质介质、其他建筑材料和基础设施系统以及各种类型的复杂复合材料。

CAREER: Research and Education on Advanced Multiscale Modeling-Analysis of Roadway Materials, Mixtures, and Infrastructure SystemsPI: Yong-Rak Kim (University of Nebraska-Lincoln)AbstractThis CAREER project integrates research and educational programs and will focus on roadway materials and infrastructure systems to develop a multiscale computational model and associated experimental programs that accurately predict damage and failure of granular composites in general and asphaltic composites and pavements in particular. The broad goal is to seek state-of-the-art advances in the modeling, analysis, and design of various civil engineering geo-materials and infrastructure systems. Central to this effort is the proposed multiscale-computational approach that employs only the fundamental properties of the mixture constituents to predict damage-dependent behavior and service life of an entire structure. The approach minimizes modeling effort/cost and produces more accurate simulations than current phenomenological approaches. This study will provide better understanding and clear investigation of constituent-level material phenomena and their interactions on inelastic-nonlinear structural performance and distresses by successfully linking microstructural responses to macroscopic performance. Complementing these research efforts is the training of new engineers through an educational program that seamlessly incorporates new technologies and laboratories into the classroom, integrates experimentation with engineering fundamentals, and engages students especially those belonging to groups traditionally underrepresented in STEM in civil engineering. Based on fundamental findings from this study, roadway engineers and practitioners can improve traditional guidelines to select mixture constituents in a more appropriate way and are also capable of advancing current mix-design concepts, materials models, and performance prediction models that will eventually lead to improvements of mixture/structure designs. In addition, this study is potentially applicable in a broad range of other cases with damage-associated nonlinear inelastic mechanical behavior, such as geologic media, other construction materials and infrastructure systems, and various types of complex composites.