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

该奖项将支持研究生和教师参加为期一周的实验工作和材料评估、降解机制和预测模型的计算建模课程。该研讨会将于2017年7月9日至14日在俄勒冈州科瓦利斯的俄勒冈州立大学举行。随着现有基础设施的不断老化，可靠地评估和预测现有资产剩余使用寿命的性能至关重要。基于基础物理理论的计算建模可以成为实现这些目标的有力工具，同时它也可以适用于新结构，以优化材料选择和配方，以达到理想的设计寿命。目前，土木工程专业研究生课程中材料劣化分析和使用寿命预测建模的相关课程很少或仅局限于少数院校。这个工作坊提供了一个可以克服这一挑战的教学模式。该课程将由具有相关研究专长的一组教师（国内和国际）教授。本课程的成果将使土木工程研究生获得与服务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注入基础科学和理论来模拟和预测具体性能，从而加强研究生的学习和研究工作。向学生介绍混凝土中多物种和多机制运输的反应运输模型；嵌入钢筋的腐蚀扩展耦合模型和耦合反应过程的最新进展，这些过程使用热力学模型进行量化，并采用扩展的多组分输运的Nernst-Plank方程的数值解。基本的热力学建模原理，吉布斯自由能最小化过程和引入开源算法（如GEMS框架）和热力学数据库（如CEMDATA），使用这种方法也将进行探索。此外，学生将有不同的分析设备的实践经验，以评估实验室和现场老化的水泥和混凝土样品。指导员将使用来自这些测试数据的分析结果对预测模型进行验证。有效的技术沟通，包括提案写作技巧也将介绍给研究生。

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.