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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>Cone Penetration Test Correlations for Missouri Soils </title>
      <link>https://rip.trb.org/View/2673279</link>
      <description><![CDATA[The objective of this research is to provide MoDOT with Missouri-specific guidance on the use of cone penetration test (CPT) measurements to estimate geotechnical parameters. This work will focus on two areas: (1) Development of Missouri-specific correlations to estimate undrained strengths of Missouri clays from CPT measurements. and (2) Investigation of inconsistencies between standard penetration test (SPT) and CPT derived values for granular soils in Missouri.]]></description>
      <pubDate>Tue, 24 Feb 2026 15:30:33 GMT</pubDate>
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      <title>Determine Hydroplaning Potential Using Existing Pavement Asset Data</title>
      <link>https://rip.trb.org/View/2420099</link>
      <description><![CDATA[To accurately assess hydroplaning potential at the network-level, the following pieces of information are essential: transverse profile and rutting, macro- and micro-texture, pavement width, radius of curvature, superelevation, cross slope, and grade. To date, 
Texas Department of Transportation (TxDOT) possesses all these pieces of information except for cross slope, which is one of the most important variables. Therefore, the research teams will gather those data elements and compile a comprehensive project database. The research teams will also identify critical data gaps and develop both a system and methodology for determining cross slope. The research teams will: (1) Develop a set of two alternative models to calculate hydroplaning potential: (i) a model to predict water film thickness (WFT), and (ii) a model to predict hydroplaning speed (HS); (2) Determine hydroplaning potential at the network level across all 25 TxDOT Districts for all PMIS sections; (3) Establish correlations between hydroplaning potential and wet-weather crashes; (4) Generate heatmaps that illustrate hydroplaning potential and wet-weather crash occurrences highlighting areas where hydroplaning potential and wet-weather crashes intersect; (5) Establish correlations between highway geometry and the occurrence of crashes under both wet and dry conditions; and (6) Develop recommendations to be incorporated into TxDOT's Wet Weather Accident Reduction Program.]]></description>
      <pubDate>Fri, 23 Aug 2024 12:14:03 GMT</pubDate>
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      <title>Improved Geotechnical Correlations for Lateral Pile Analysis</title>
      <link>https://rip.trb.org/View/2270164</link>
      <description><![CDATA[This research project scope includes the following: collect a database of lateral pile load tests and in-situ test results from available literature and in-house files; develop improved correlations between lateral soil resistance parameters and in-situ penetration resistance in cohesionless soils that quantify uncertainty; and develop improved correlations between lateral soil resistance parameters and undrained shear strength and CPT qc in cohesive soils.]]></description>
      <pubDate>Thu, 19 Oct 2023 14:12:12 GMT</pubDate>
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      <title>Enhancement to the Intelligent Construction Data Management System (Veta) and Implementation</title>
      <link>https://rip.trb.org/View/1372529</link>
      <description><![CDATA[Using Intelligent Construction Data Management (ICDM)-Veda as a tool/platform, the objectives of this effort are to incorporate features and enhancements such as the following: (1) Analysis platforms; (2) Filtering, computations, modeling, etc.; (3)  Management of database and project files; (4) Enhancements and additions to existing logic and coding to facilitate efficiency and added features; (5) Mapping; (6) Mapping performance, print feature; (7) Correlation analyses; (8) Correlations between different data sets (intelligent compaction, thermal profiling, ground penetrating radar (GPR), pavement smoothness, falling weight deflectometer (FWD), density, etc.); (9) Spot tests; (10) Management of conventional spot test data (import, filtering, mapping, correlations); (11) Data import and mapping; (12) Import data sets from ProVAL, ground penetrating radar, and delimited text data; (13) Contract administration; (14) Automated items needed to administer geo-spatial technologies during construction for quality control/quality assurance (QC/QA);  - Data import/mapping, acceptance, basis of measurement and documentation of quantities; (15) Asset management; and (16) Mapping of final project QC/QA data collection for use as a supplement Pavement Management Systems.]]></description>
      <pubDate>Thu, 22 Oct 2015 09:45:50 GMT</pubDate>
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