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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
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    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
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      <title>The Effect of Pressurized Hydrogen Gas on the Fatigue Properties of the Heat-Affected Zones in X52 and X70 Pipelines
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      <link>https://rip.trb.org/View/1371558</link>
      <description><![CDATA[The National Institute of Standards and Technology (NIST) and Pipeline and Hazardous Materials Safety Administration (PHMSA) seek to address concerns over heat-affected zones voiced by American Society of Mechanical Engineers (ASME) B31.12 committee on Hydrogen Piping and Pipelines.
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      <pubDate>Mon, 12 Oct 2015 11:40:01 GMT</pubDate>
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      <title>Improved Performance of Concrete in Rigid Pavements and Other Transportation Structures Through Modeling of Cement Hydration
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      <link>https://rip.trb.org/View/1369873</link>
      <description><![CDATA[The purpose of this interagency research project with the National Institute of Standards and Technology (NIST) is to work cooperatively with the Federal Highway Administration (FHWA) on cement hydration kinetics modeling research. The focus will be on clearly defining the causes of the onset and end of the induction period of alite, which controls set, strength, and subsequent microstructural development. The researchers will simulate the presence of mineral and chemical admixtures by introducing aluminate and sulfate ions and organic retarders at ratios known to perturb normal hydration. The researchers will also use new experimental methods capable of measuring chemical and microstructural changes on the nanometer to micron scale during hydration; the goal is to use this insight to improve the ability of NIST’s HydratiCA model to predict hydration kinetics and microstructure in the presence of supplementary cementing materials (SCMs), such as fly ash, slag and metakaolin, as well as in organic admixtures. This detailed understanding will also lead to the improvement of the boundary nucleation and growth (BNG) model to permit prediction of hydration kinetics and setting behavior, using a software tool that is powerful but simple enough to be used in the field.
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      <pubDate>Mon, 21 Sep 2015 15:59:50 GMT</pubDate>
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