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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>Clay and Shale LRFD Design Criteria for Drilled Shaft Foundations</title>
      <link>https://rip.trb.org/View/2604567</link>
      <description><![CDATA[The Texas Department of Transportation's (TxDOT) geotechnical design guidance has transitioned from using Texas Cone Penetrometer (TCP) boring logs and capacity correlations to design drilled shaft foundation elements with American Association of State Highway and Transportation Officials' Load and Resistance Factor Design (AASHTO LRFD) investigations and resistance-based design methods. The research team will optimize TxDOT's drilled shaft design methods and resistance factors for clay and shale in accordance with TxDOT's specific soil and construction conditions. The research team will develop a likelihood map of shale for a district selected by TxDOT.]]></description>
      <pubDate>Mon, 29 Sep 2025 16:35:38 GMT</pubDate>
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      <title>Improve Utility Investigations through AI Data Fusion and Reliable Quality Assessments</title>
      <link>https://rip.trb.org/View/2437689</link>
      <description><![CDATA[Identifying and documenting existing utility facilities within the proposed right-of-way (ROW) is crucial for successful project delivery. There is a need to leverage data collection technology’s strengths and minimize weaknesses for a more robust and reliable determination of utility locations and develop and test metrics to assess the utility investigation quality levels in ways that make sense to project design teams. Improvements will lead to a better stakeholder understanding to communicate the quality levels commonly used by the SUE industry (D, C, B, and A), the basis for assessing utility investigation deliverable quality, and would be able to tie quality levels to quantifiable performance metrics such as positional accuracy, error, and completeness, which are common in engineering and surveying when collecting field data for a project.]]></description>
      <pubDate>Thu, 03 Oct 2024 10:31:18 GMT</pubDate>
      <guid>https://rip.trb.org/View/2437689</guid>
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      <title>Statewide StreamStats Web Tool for Estimating Streamflow Statistics - Regression Equation Update</title>
      <link>https://rip.trb.org/View/1942650</link>
      <description><![CDATA[Knowledge and understanding of streamflow paths, expected flows and predicted extreme flows during droughts and floods for drainageways in our state is fundamental to habitat and wildlife preservation, and water supply and wastewater discharge. Nebraska's water resources are crucial to the livelihood and survival of its citizens and wildlife, therefore combined effmis of Nebraska's residents, agricultural community, private enterprise and local, state and federal government agencies are essential to the preservation and protection of these water resources. This project focuses on the implementation of StreamStats, a nationwide effort by USGS to use streamgage data, topography and regression equations to provide flow data to the general public for user-selected drainageways. The web-based platform will delineate drainage basins and compute watershed characteristics at user-selected gaged or ungaged stream locations. This web tool will be used by local, state and federal government agencies and private consultants for floodplain management, wetland restoration and mitigation projects, and in the analysis and design of culverts, bridges, stormwater treatment facilities, detention ponds, aquatic organism passage structures and other water resources projects. To implement StreamStats in Nebraska, the geographic information system framework for the web-implementation needs to be built and gage information will be analyzed. .   

]]></description>
      <pubDate>Tue, 21 Jun 2022 13:02:31 GMT</pubDate>
      <guid>https://rip.trb.org/View/1942650</guid>
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      <title>Geoarchaeological Survey Methods for Enhanced Decision-Making in ODOT's Project Development Process (PDP)</title>
      <link>https://rip.trb.org/View/1752405</link>
      <description><![CDATA[Geophysical survey methods such as ground penetrating radar, magnetic gradient (magnetometer), and electrical resistivity are the three most commonly used types of geophysical survey equipment that archaeologists use to investigate areas less invasively and less labor-intensively. Geophysical surveys are often cheaper, faster, and less destructive than standard archaeological surveying techniques (i.e. surface collecting and shovel testing).

The goal of this project is to become independent in conducting non-invasive geophysical surveys. This research project will include a comparison of three methods of geophysical survey equipment and associated software to determine what instrument or combination of instruments works best in different scenarios. ODOT currently hires consultants on a project-by-project basis to conduct geophysical surveys when needed. Over the past several years, ODOT and the Ohio History Connection (OHC) have spent hundreds of thousands of dollars on contracts to conduct these surveys. Being able to conduct these surveys in-house will save money on projects, expedite project reviews, and better manage impacts to resources. Furthermore, by having the equipment and trained staff readily available, ODOT and OHC will be able to conduct these types of investigations more frequently and fully realize the benefits of this technology.            ]]></description>
      <pubDate>Thu, 19 Nov 2020 09:27:44 GMT</pubDate>
      <guid>https://rip.trb.org/View/1752405</guid>
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      <title>New Hydrologic Fixed Region Regression Equations for the MD Coastal Plains</title>
      <link>https://rip.trb.org/View/1592828</link>
      <description><![CDATA[The present (est. 2006) hydrologic equations are outdated due to (1) updates in the SSURGO (soil survey geographic database) implemented by National Resources Conservation Services (NRCS), and (2) 12 additional years of flow data. As a result, MDOT SHA hydrology models cannot be reliably calibrated, and may be producing incorrect design flows for bridge and culvert crossings in Maryland which potentially may result in either oversized or undersized structures. The purpose of this research is to update the hydrologic equations.  In addition to updates in the SSURGO Soil Data Set, POLARIS Soil Data sets should be investigated to determine their accuracy and appropriateness for usage in the equations.]]></description>
      <pubDate>Fri, 15 Mar 2019 14:42:50 GMT</pubDate>
      <guid>https://rip.trb.org/View/1592828</guid>
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    <item>
      <title>Adaptive, predictive 3D geologic modeling for hard rock tunneling (UTI-UTC 01)</title>
      <link>https://rip.trb.org/View/1500822</link>
      <description><![CDATA[This project aims to make use of borehole and monitoring data collected along the excavated portion of the tunnel to reduce uncertainty in our geologic model and predict ground conditions along the unexcavated portion.  ]]></description>
      <pubDate>Fri, 16 Feb 2018 16:19:35 GMT</pubDate>
      <guid>https://rip.trb.org/View/1500822</guid>
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      <title>Nano-Engineered Smart Tarmacs for Detecting Distributed Surface and Subsurface Pavement Damage</title>
      <link>https://rip.trb.org/View/1361228</link>
      <description><![CDATA[No summary provided.]]></description>
      <pubDate>Fri, 17 Jul 2015 01:00:07 GMT</pubDate>
      <guid>https://rip.trb.org/View/1361228</guid>
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