<rss version="2.0" xmlns:atom="https://www.w3.org/2005/Atom">
  <channel>
    <title>Transport Research International Documentation (TRID)</title>
    <link>https://trid.trb.org/</link>
    <atom:link href="https://trid.trb.org/Record/RSS?s=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" rel="self" type="application/rss+xml" />
    <description></description>
    <language>en-us</language>
    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
    <docs>http://blogs.law.harvard.edu/tech/rss</docs>
    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
    <image>
      <title>Transport Research International Documentation (TRID)</title>
      <url>https://trid.trb.org/Images/PageHeader-wTitle.jpg</url>
      <link>https://trid.trb.org/</link>
    </image>
    <item>
      <title>A Feasibility Study for Quantum Computing Methodologies in Automotive Advanced Material Investigation</title>
      <link>https://trid.trb.org/View/2384482</link>
      <description><![CDATA[Recently, as the upcoming limitation of operational speed enhancement in conventional silicon device technologies, quantum computing methodologies are realized one of the promising candidates that could potentially instead conventional multi-core supercomputer platforms with GPUs. The functional material optimization problem, that idealize high performance electric vehicle powertrain systems, would be a suitable target for benchmarking the efficiency of this novel high performance computing technologies. Regarding this direction, for the purpose of elucidating latent powerfulness of quantum annealing algorithms in functional material design, the authors performed quantum inspired study for the optimization of compound compositional design with substituting heterogeneous elements. (Quantum inspired computing is as the simulation technology for solving specific Ising Hamiltonian that reproduce energetic behavior of systems under the latest GPU platforms.) Carbon material design, in relation to fuel cell catalyst or electrode material for Li ion battery in automotive application, was studied as the representative case in functional material investigation. Notable optimization performance improvement was observed.]]></description>
      <pubDate>Mon, 24 Jun 2024 09:26:55 GMT</pubDate>
      <guid>https://trid.trb.org/View/2384482</guid>
    </item>
    <item>
      <title>Determination of Grouping Factors for Bridge Deterioration Analysis</title>
      <link>https://trid.trb.org/View/2353255</link>
      <description><![CDATA[Evaluating the deterioration process of bridges is a fundamental part of a good bridge management program by providing cost-effective maintenance strategies, given agency-defined goals and constraints. The deterioration of bridge structures over their lifetimes depends on various factors, such as material types, design types, geographic locations, and operational and environmental conditions. Grouping bridges at the level of components or elements is necessary to reduce data dimensionality in data analysis and formalize deterioration models through a statistical analysis while producing the same analytical results (i.e., homogeneous deterioration characteristics). However, grouping factors by which bridge structures are believed to show similar deterioration characteristics over time are determined based on the improvised, heuristic classification of bridges. This study conducted a data-driven similarity analysis to statistically determine grouping factors for bridge components. The results of this study demonstrated the effectiveness of the similarity analysis approach used in this paper. This research makes noteworthy contributions by introducing a novel data-driven methodology for identifying factors that facilitate the grouping of bridges, an approach that has not been explored before. Additionally, it enhances homogeneity within bridge groups, improving the reliability and robustness of bridge deterioration models.]]></description>
      <pubDate>Wed, 17 Apr 2024 11:29:44 GMT</pubDate>
      <guid>https://trid.trb.org/View/2353255</guid>
    </item>
    <item>
      <title>R&amp;D Activities and Future Perspectives in Material Technology</title>
      <link>https://trid.trb.org/View/2231976</link>
      <description><![CDATA[Various kinds of materials are used as components of systems not only in railways but also in other industrial fields. So far, advances in material technology for structural and functional materials have contributed greatly to the development of railways. Current R&D activities mostly focus on materials with longer service life, the clarification of material deterioration mechanisms and so on. However, the pandemic of COVID-19 and rapid changes in the environment with climate change will have a significant impact on future railways. It is necessary that material technology will adapt to this drastic transition in order to keep contributing to the sustainable development of railways.]]></description>
      <pubDate>Fri, 22 Sep 2023 09:08:17 GMT</pubDate>
      <guid>https://trid.trb.org/View/2231976</guid>
    </item>
    <item>
      <title>Cultivating Materials Science Research to Benefit Surface Transportation 2022 Update</title>
      <link>https://trid.trb.org/View/1924924</link>
      <description><![CDATA[Many of the recent Federal Highway Administration (FHWA) Exploratory Advanced Research (EAR) Program-sponsored research initiatives fulfill a key FHWA goal of building better highway bridges, structures, and pavements. By combining techniques developed within chemistry and physics, these projects have focused on developing new materials that improve the durability, longevity, and resistance to adverse conditions (such as extreme temperatures and sustained load bearing) of infrastructure. This document looks at EAR Program research related to: traditional cement, supplementary materials, alternative cementitious materials, asphalt pavements and binders, and coatings.]]></description>
      <pubDate>Thu, 24 Mar 2022 15:22:58 GMT</pubDate>
      <guid>https://trid.trb.org/View/1924924</guid>
    </item>
    <item>
      <title>Gene-editable materials for future transportation infrastructure: a review for polyurethane-based pavement</title>
      <link>https://trid.trb.org/View/1886960</link>
      <description><![CDATA[With the rapid development of society and industry, novel technologies and materials related to pavement engineering are constantly emerging. However, with the continuous improvement of people’s demands, pavement engineering also faces more and more enormous challenges that the pavement materials must have excellent engineering properties and environmental benefits. Meanwhile, the intelligence is the mainstream development direction of modern society, and the development trend of future transportation infrastructure. Materials Genome Initiative, a program for the development of new materials that materials design is conducted by up-front simulations and predictions, followed by key validation experiments, the rapid development of science and technology and AI toolset (big data and machine learning) provide new opportunities and strong technical supports for pavement materials development that shorten the development-application cycle of new material, reduce cost and promote the application of new carriers such as intelligent sensing components in transportation engineering, to achieve the intelligence of transportation engineering. However, traditional pavement materials possess several unavoidable shortcomings, indicating that it is exceedingly difficult for them to meet the above requirements for future pavement materials. Therefore, the development of future new pavement materials, which can be designed on-demand as well as possessing enough mechanical properties, high durability, practical functionality, and high environmental protection, is urgent. In recent years, as a “designable” polymer material with various excellent engineering performances, polyurethane (PU) has been widely applied in pavement practices by changing the chemical structures of raw materials and their mix proportions, for instance pavement repairing material, permeable pavement material, tunnel paving material and bridge deck paving materials, etc. Although PU material has been widely applied in practices, a systematically summarization is still quite necessary for further understanding the working mechanism of PU materials and optimization it’s engineering applications. To fill the gap, this article puts forward the special requirements for future transportation infrastructure materials, and introduces the basic properties and working mechanism of PU materials in order to make up for the defects of conventional road materials. Based on this, this article also summarizes the engineering performances and environmental benefits of applying PU as the binder for different road infrastructure materials in recent years. Considering the gene-editable nature of polyurethane, further research of the on-demand design principles of PU pavement materials is recommended. The establishment of raw material gene database, material terminal performance database and their structure-activity relationship are highlighted. The current research is essential to the practice guidance and further optimization of the PU materials for road infrastructures, which in line with the future Carbon neutral policy.]]></description>
      <pubDate>Fri, 12 Nov 2021 09:46:22 GMT</pubDate>
      <guid>https://trid.trb.org/View/1886960</guid>
    </item>
    <item>
      <title>Cultivating Materials Science Research to Benefit Surface Transportation Initiatives</title>
      <link>https://trid.trb.org/View/1579144</link>
      <description><![CDATA[One of the ongoing problems in the construction of bridge structures and highway pavements is that engineers must always grapple with the inevitable deterioration of these structures. Bridges and pavements must bear heavy cars and trucks over a sustained period of time. They also face weather conditions, such as rain and snow or extreme heat and cold, that threaten to wear down materials over time.  To combat the wear and tear that bridges and highways face, researchers are keen to explore how to build structures that are more durable and longer lasting. One way to approach this problem is through materials science. Materials science is a multidisciplinary approach to the scientific study of the production and use of materials through the lenses of chemistry, physics, and engineering.  Breakthrough research in materials science can benefit surface transportation because the innovations developed from this research can be used in construction and repair so that highway bridges and pavements are longer lasting. The Federal Highway Administration’s (FHWA’s) Exploratory Advanced Research (EAR) Program actively supports research in materials science as a way to address the health of U.S. highway structures and pavements. This report discusses recent EAR research initiatives. Topics include: Traditional cement, supplementary materials, alternative cementitious materials, asphalt pavements and binders, coatings, and real-life applications.]]></description>
      <pubDate>Wed, 30 Jan 2019 10:14:38 GMT</pubDate>
      <guid>https://trid.trb.org/View/1579144</guid>
    </item>
    <item>
      <title>Predictive Theoretical and Computational Approaches for Additive Manufacturing: Proceedings of a Workshop</title>
      <link>https://trid.trb.org/View/1427372</link>
      <description><![CDATA[Additive manufacturing (AM) methods have great potential for promoting transformative research in many fields across the vast spectrum of engineering and materials science. AM is one of the leading forms of advanced manufacturing which enables direct computer-aided design (CAD) to part production without part-specific tooling. In October 2015 the National Academies of Sciences, Engineering, and Medicine convened a workshop of experts from diverse communities to examine predictive theoretical and computational approaches for various AM technologies. While experimental workshops in AM have been held in the past, this workshop uniquely focused on theoretical and computational approaches and involved areas such as simulation-based engineering and science, integrated computational materials engineering, mechanics, materials science, manufacturing processes, and other specialized areas.  The four focus areas of the workshop were: (1)  Theoretical understanding of materials science and mechanics; (2) Computational and analytical methods in AM; (3) Monitoring and advanced diagnostics to enable AM fundamental understandings; and (4) Scalability, implementation, readiness, and transition. This publication summarizes the presentations and discussions from the workshop.]]></description>
      <pubDate>Mon, 21 Nov 2016 13:26:08 GMT</pubDate>
      <guid>https://trid.trb.org/View/1427372</guid>
    </item>
    <item>
      <title>X-Ray Line Profile Analysis in Materials Science</title>
      <link>https://trid.trb.org/View/1308490</link>
      <description><![CDATA[Crystalline materials are never ideal, perfectly ordered single crystals because they contain lattice defects such as grain boundaries, planar faults, dislocations, disclination, vacancies, and intersticial atoms. The deviation from the perfect single crystalline state is referred to as microstructure of materials. The microstructure is important in determining the physical, chemical, and mechanical properties of materials.  X-ray line profile analysis (XLPA) is an effective and non-destructive method for the characterization of the microstructure in crystalline materials. This book presents both the theoretical background and practical implementation of x-ray line profile analysis.]]></description>
      <pubDate>Wed, 28 May 2014 15:20:56 GMT</pubDate>
      <guid>https://trid.trb.org/View/1308490</guid>
    </item>
    <item>
      <title>Multiscale Materials Modeling Workshop Summary Report</title>
      <link>https://trid.trb.org/View/1302795</link>
      <description><![CDATA[This report summarizes a 2-day workshop held to share information on multiscale material modeling. The aim was to gain expert feedback on the state of the art and identify Exploratory Advanced Research (EAR) Program opportunities for multiscale material modeling as it applies to the optimization of properties, durability, and construction of asphalt and cementitious pavement and construction materials. The workshop provided an opportunity for researchers who develop material models and engineers who use the results of material models to discuss multiscale modeling of cementitious and asphaltic materials. Discussion topics included the purposes and audiences for current and future models, the state of the art in approaches to model degradation mechanisms across length scales, and technical and programmatic approaches to advance multiscale modeling methods. These discussions will form the basis for transition of results from research on multiscale material modeling and new plans for EAR program activities.]]></description>
      <pubDate>Sat, 29 Mar 2014 11:15:12 GMT</pubDate>
      <guid>https://trid.trb.org/View/1302795</guid>
    </item>
    <item>
      <title>Structural Materials and Processes in Transportation</title>
      <link>https://trid.trb.org/View/1286040</link>
      <description><![CDATA[In the transportation industry today, materials are required to be durable, efficient, light, and ecologically and economically viable. The use of structural materials throughout the transportation industry, especially in the air, rail, and road sectors, is covered in this handbook. The latest development in materials engineering are a strong focus, as well as new insights and trends, from the perspective of independent research institutes, automotive and aerospace suppliers and companies, and universities. The book is arranged into the following sections: Metals, Polymers, Composites, Cellular Materials, Modeling and Simulation, and Higher Level Trends.]]></description>
      <pubDate>Wed, 26 Mar 2014 10:07:22 GMT</pubDate>
      <guid>https://trid.trb.org/View/1286040</guid>
    </item>
    <item>
      <title>Fine-tuning Nonlinear Finite Element Analysis Methodology for Aircraft Seat Certification using Component Level Testing and Validation</title>
      <link>https://trid.trb.org/View/1100700</link>
      <description><![CDATA[Finite element analysis (FEA) has become a part of new development in automotive as well as in aircraft seating industries. The goal of FEA in product development is not only to design but to substantiate the certification tests or possibly replace the certification tests. The case of a certification by substantiation tests increases the necessity of validation of the Finite Element (FE) model. In the aircraft industry, the seating Advisory Circular (AC) 20-146 specifies a methodology for the dynamic seat “Certification By Analysis” for use in the Parts 23, 25, 27, and 29 airplanes and rotorcraft. In FE modeling of typically nonlinear environments such as the aircraft dynamic seat simulations, input parameters such as material model, element type, time step scale factor, element length, material model etc. play a vital role in the accuracy of the results. Selecting appropriate material models and other parameters leads to improved accuracy in the FE model and hence to validation with the experimental test results. The aim of this study is to fine-tune non-linear FEA methodology for aircraft seat certification using component level testing and validation. For this purpose, the effects of input parameters such as the material model, element length, and time step scale factor are evaluated using component test-FE simulation on static tension test on aluminum, high speed load-deflection test on seat cushion and belt pull test. Verification of FE input parameters is determined in each case. Appropriate input variables are selected and provided to an aircraft seat FEA case study and validated against sled test results to demonstrate the validity of the finite element models.]]></description>
      <pubDate>Fri, 29 Apr 2011 07:36:26 GMT</pubDate>
      <guid>https://trid.trb.org/View/1100700</guid>
    </item>
    <item>
      <title>Road Science: M-E PDG Improves the Art of Road Design by Adding Material Science to the Mix</title>
      <link>https://trid.trb.org/View/898822</link>
      <description><![CDATA[The American Association of State Highway and Transportation Officials' (AASHTO's) Interim Mechanistic-Empirical Pavement Design Guide (MEPDG) and its implications for state and local road design are discussed by the author. AASHTO's traditional road design concept was developed in the 1950s and has undergone changes since. The MEPDG, which replaces arbitrary extrapolation with science and makes roadway design more realistic, was approved by AASHTO in 2008 as an official interim design procedure. Adoption of the Interim MEPDG by the Missouri Department of Transportation is used to illustrate MEPDG applications.]]></description>
      <pubDate>Mon, 31 Aug 2009 09:27:17 GMT</pubDate>
      <guid>https://trid.trb.org/View/898822</guid>
    </item>
    <item>
      <title>Materials of Cement Science Primer: The Science of Concrete</title>
      <link>https://trid.trb.org/View/894280</link>
      <description><![CDATA[This primer on the science of concrete is presented in the following chapters:  (1) Introduction - introduces a web site on the scientific aspects of concrete for the non-expert and provides a quick overview of the materials science of cement; (2) Concrete Basics; (3) The Concrete Construction Process; (4) Manufacture and Composition of Portland Cement; (5) Hydration and Microstructure of Portland Cement Paste; and (6) The Pore Structure and Surface Area of Cement Paste.]]></description>
      <pubDate>Tue, 14 Jul 2009 14:23:21 GMT</pubDate>
      <guid>https://trid.trb.org/View/894280</guid>
    </item>
    <item>
      <title>Image Analysis of Interparticle Contact Modeling</title>
      <link>https://trid.trb.org/View/815029</link>
      <description><![CDATA[Two dimensional photoelastic elements (disks or ellipses) are used as models for studying granular material behavior. The required observations include accurate continuous measurements of the interparticle forces (magnitude and orientation) during motion. Different methods of analyses were developed based on the isochromatic fringe pattern around the contact point. An image processing and analysis system was set to enable the measurements of the required isochromatic fringes. The system and technique used for the measurements are described and evaluated in this paper.]]></description>
      <pubDate>Mon, 27 Aug 2007 07:42:24 GMT</pubDate>
      <guid>https://trid.trb.org/View/815029</guid>
    </item>
    <item>
      <title>Digital Image Processing: Techniques and Applications in Civil Engineering</title>
      <link>https://trid.trb.org/View/814875</link>
      <description><![CDATA[These proceedings, Digital Image Processing: Techniques and Applications in Civil Engineering, consists of the invited and submitted papers for the Engineering Foundation – National Science Foundation sponsored conference held in Kona, Hawaii February 28 – March 5, 1993. The conference format was configured around four tracks: (1) digitizing and digital information management; (2) morphologic operations and analysis; (3) image interpretation and recognition; and (4) applications. While image processing and analysis methods have been used extensively in other disciplines for some time, it is only in the past few years that the potential impact in civil engineering has been recognized. A range of topics including engineering document scanning, pavement distress assessment, site evaluation using satellite imagery, studies of crack propagation and microstructure in cement based materials, and evaluations of soil fabric are all benefiting from capabilities afforded by this technology. Summaries prepared by the track chairman are included in the proceedings. This document provides the civil engineer with a compressive and up-to-date perspective for the use of digital image processing and analysis techniques in solving civil engineering problems.]]></description>
      <pubDate>Mon, 27 Aug 2007 07:42:24 GMT</pubDate>
      <guid>https://trid.trb.org/View/814875</guid>
    </item>
  </channel>
</rss>