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Appendix A - Case Study on Cementitious Materials
Pages 43-48

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From page 43...
... Underlying these research thrusts is the need for a more complete understanding of the fundamental chemical processes that give cement its physical properties. A.2  CM Research: Initiation and Evolution Reflecting the overall research approach for the EAR Program, the projects in CM research reflect two broad thrusts.
From page 44...
... A.2.2  CM Project Selection Given the range of subtopics within CM research, the EAR Program recruited a wide variety of experts to serve on the proposal review panels for these topics. For the initial EAR Program BAA in 2007, topics were broadly defined, requiring over 60 reviewers drawn from FHWA, TRB, several state departments of transportation (DOTs)
From page 45...
... A.2.3  CM Project Oversight and Management The Agreement Officer's Technical Representatives (AOTRs) who provided project oversight on behalf of FHWA played a significant role in CM research projects.
From page 46...
... The EAR Program has developed a draft logic model for its CM research investments, shown in Figure A-1. Although some CM research produces traditional scientific journal articles, the focus on both materials and modeling generates other types of research products: • Software and software toolkits for computational modeling of materials • Sample materials for further experimentation • Data on the performance of materials tested in research • Inputs to materials and construction standards • Recommendations on materials suitable for deployment PIs responding to the survey offered a wide array of examples of their research results, includ ing code for modeling contributed to the open-source community, new applications of testing methods, new standards or research protocols, and potential new materials.
From page 47...
... Figure A-1.   Logic model for EAR CM research.
From page 48...
... These two projects seem fairly fundamental in nature. A researcher with the Princeton project readily admitted that the work with NIST on developing a new computational model for cement hydration has not yet produced a new model that can be used in the field, but it has developed other insights into the topic that are being applied in research.


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