Graduate Student Workshop on Service Life Prediction of Concrete; Oregon State University; July 9-14, 2017

该奖项将支持为研究生和教师举办一个研讨会，参加为期一周的课程，内容涉及材料评估、降解机制和预测模型的实验工作和计算建模。该研讨会将于 2017 年 7 月 9 日至 14 日在俄勒冈州科瓦利斯市的俄勒冈州立大学举行。随着我们现有的基础设施不断老化，可靠地评估和预测现有资产剩余使用寿命的表现至关重要。基于基础物理理论的计算模型可以成为实现这些目标的强大工具，同时它也可以应用于新结构，以优化材料选择和配方，以获得理想的设计寿命。目前，土木工程研究生课程中与材料劣化分析和使用寿命预测建模相关的课程很少或仅限于少数机构。本次研讨会提供了一种可以克服这一挑战的教学模式。该课程将由一组具有相关研究专业知识的教师（国内和国际）教授。本课程的成果将使土木工程研究生能够获得与使用寿命预测相关的基础知识，并将课程材料整合到他们当前的研究中。本次研讨会的目的是通过融入基础科学和理论来建模和预测具体表现，从而加强研究生的学习和研究工作。将向学生介绍混凝土中多物种和多机械传输的反应传输模型；嵌入式钢筋腐蚀扩展的耦合建模以及耦合反应过程的最新发展，这些过程使用热力学模型进行量化，并使用多物质传输的扩展能斯特-普朗克方程的数值解。还将探讨基本热力学建模原理、吉布斯自由能最小化过程以及引入使用这种方法的开源算法（例如 GEMS 框架）和热力学数据库（例如 CEMDATA）。此外，学生还将获得使用不同分析设备来评估实验室和现场老化水泥和混凝土样品的实践经验。讲师将使用这些测试数据的分析结果来验证预测模型。还将向研究生介绍有效的技术沟通，包括提案写作技巧。

This award will support a workshop for graduate students and faculty to participate a one-week course on experimental work and computational modeling on material evaluation, degradation mechanisms and prediction models. The workshop will be held at the Oregon State University in Corvallis, Oregon, July 9-14, 2017. As our existing infrastructure continues to age, it is of utmost importance to reliably assess and predict the performance of the remaining service life of existing assets. Computational modeling based on fundamental physics theories can be a powerful tool in achieving these goals while it can also be applicable to new constructions to optimize the materials selection and formulation for a desirable design life. Currently, courses related to material deterioration analysis and service life prediction modeling in the graduate civil engineering curriculum are scarce or limited to few institutions. This workshop offers a teaching model that can overcome this challenge. The course will be taught by a group of faculty members (national and international) with relevant research expertise. The outcomes of this course will enable civil engineering graduate students to gain fundamental knowledge related to service-life prediction and to integrate course materials into their current research. The objective of this workshop is to enhance graduate student learning and research efforts by infusing the basic science and theory to model and predict concrete performance. Students will be introduced to reactive-transport modeling of multi-species and multi-mechanistic transport in concrete; coupled modeling of corrosion propagation of embedded reinforcement and recent developments in coupling reactive processes, which are quantified using thermodynamic modeling, with numerical solutions of extended Nernst-Plank equation for multi-species transport. Basic thermodynamic modeling principles, Gibbs Free Energy Minimization processes and introduce open-source algorithms (e.g. GEMS framework) and thermodynamic databases (e.g. CEMDATA) that use this approach will also be explored. In addition, students will have hands on experience with different analytical equipment to evaluate laboratory and field aged cement and concrete samples. The instructors will incorporate the verification of prediction models using analytical results from those test data. Effective technical communication including proposal writing skills will also be introduced to the graduate students.