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    <title>Research in Progress (RIP)</title>
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    <atom:link href="https://rip.trb.org/Record/RSS?s=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" rel="self" type="application/rss+xml" />
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    <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>
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      <title>Research in Progress (RIP)</title>
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      <link>https://rip.trb.org/</link>
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    <item>
      <title> Evaluate the Implementation of Hot Mix Asphalt Thick-Lift Paving</title>
      <link>https://rip.trb.org/View/2772116</link>
      <description><![CDATA[The research team will explore the feasibility and benefits of using thick lift hot mix asphalt (HMA) paving to improve the efficiency of Texas Department of Transportation's (TxDOT’s) construction operations. Researchers will also explore if standard vibratory pavers can produce thick lifts that meet current quality and ride specifications and identify the best practices for durable, smooth pavements.]]></description>
      <pubDate>Fri, 28 Aug 2026 17:25:08 GMT</pubDate>
      <guid>https://rip.trb.org/View/2772116</guid>
    </item>
    <item>
      <title>Develop Repeatability and Acceptance Criteria of Balanced Mix Design Performance Tests</title>
      <link>https://rip.trb.org/View/2772335</link>
      <description><![CDATA[Balanced mix design (BMD) relies more on laboratory performance tests rather than traditional volumetric criteria to ensure asphalt mixtures with adequate resistance to rutting, cracking, and moisture damage resistance. Texas Department of Transportation (TxDOT) has advanced BMD development and implementation for many years; however, one of the major challenges is the repeatability (or variability) of the key performance tests, including Hamburg wheel tracking test (HWTT), overlay test (OT), ideal cracking test (IDEAL-CT) and ideal rutting test (IDEAL-RT). Variability in these tests can arise from numerous factors, such as equipment differences and operator training. High variability reduces a test’s ability to statistically distinguish changes in mix components (e.g., a 0.5% change in asphalt content), which directly influences mix design, production quality control (QC), quality assurance (QA), and ultimately, pavement field performance. If variability is too large, performance tests based BMD loses its effectiveness; therefore, it is essential to evaluate the variability of these four performance tests and establish rational acceptance criteria for each.]]></description>
      <pubDate>Fri, 28 Aug 2026 17:24:56 GMT</pubDate>
      <guid>https://rip.trb.org/View/2772335</guid>
    </item>
    <item>
      <title>Evaluation of Asphalt Rejuvenators on Asphalt Mixtures with High RAP</title>
      <link>https://rip.trb.org/View/2768413</link>
      <description><![CDATA[The Kentucky Transportation Cabinet (KYTC) has examined whether increasing the amount of reclaimed asphalt pavement (RAP) in surface mixtures can lower costs. One downside of higher RAP content is that the use of aged binder negatively affects cracking resistance. While asphalt rejuvenators may restore binder properties and improve the durability of high-content RAP mixtures, Kentucky has limited field experience applying them on state-maintained routes. As such, KYTC lacks sufficient performance data to determine if rejuvenated surface mixtures with high RAP content exhibit long-term performance similar to conventional surface mixtures.]]></description>
      <pubDate>Wed, 26 Aug 2026 17:04:22 GMT</pubDate>
      <guid>https://rip.trb.org/View/2768413</guid>
    </item>
    <item>
      <title>Continuous and Rapid Detection Methods for Segregation in Asphalt Mixture Paving</title>
      <link>https://rip.trb.org/View/2734857</link>
      <description><![CDATA[Segregation in asphalt mixtures, where coarse aggregates become separated from fine aggregates, leads to non-uniform pavement surfaces with reduced density and durability. This deficiency significantly impacts the performance of asphalt pavements, often resulting in premature failures such as raveling, cracking, and potholes. Identification of segregation during or immediately after asphalt paving operations is crucial for mitigating these potential issues, ensuring higher-quality, longer lasting, and more durable pavements while minimizing future repair needs.

Historically, segregation detection has relied on visual inspection methods or density measurements, which are both time-consuming and susceptible to errors. Recent advances in real-time monitoring and continuous inspection technologies, such as infrared imaging, Ground Penetrating Radar (GPR), continuous density and macrotexture measurement, and machine learning-driven analysis present opportunities for detecting segregation as it occurs. These innovations promise to improve the detection process, allowing for more immediate interventions that preserve pavement quality and minimize costs.

Segregation is a leading cause of premature asphalt pavement failure. Thermal, density, and gradation inconsistencies create weak areas in pavements that deteriorate faster and cost more to maintain. The purpose of this study is to explore, identify, and validate advanced technologies for detecting and quantifying segregation in asphalt pavements both during and immediately following paving operations. The focus will be on the development and implementation of continuous, real-time detection methods that facilitate immediate corrective actions and improve the overall quality and longevity of pavements.
]]></description>
      <pubDate>Thu, 23 Jul 2026 07:25:06 GMT</pubDate>
      <guid>https://rip.trb.org/View/2734857</guid>
    </item>
    <item>
      <title>Enhanced Understanding of Hot Mix Asphalt (HMA)</title>
      <link>https://rip.trb.org/View/2731920</link>
      <description><![CDATA[Michigan Department of Transportation (MDOT) interest is to have the Michigan State University (MSU) Center provide specialized technical expertise and examinations related to further development of its pavement design program, specifically as it relates to Pavement Mechanistic-Empirical Design (PMED).]]></description>
      <pubDate>Fri, 17 Jul 2026 13:08:30 GMT</pubDate>
      <guid>https://rip.trb.org/View/2731920</guid>
    </item>
    <item>
      <title>Developing a Balanced Mix Design (BMD) Framework for Low-Volume Surface Mixtures</title>
      <link>https://rip.trb.org/View/2730683</link>
      <description><![CDATA[Full implementation of balanced mix design (BMD) for dense-graded non-polymer-modified maintenance surface mixtures was achieved by the Virginia Department of Transportation (VDOT) in 2024. Most of the mixtures used to develop the BMD criteria incorporated 30% RAP and PG 64S-22 binder, a common combination in Virginia. The criteria developed from these mixtures were based on desired performance characteristics for primary or high-volume secondary routes, which have greater traffic levels and typically thicker pavement structures than low-volume routes. However, as low-volume routes comprise over 90,000 lane-mi of VDOT-maintained roads, there is a need to develop performance criteria to address their specific needs.  
OBJECTIVE: The primary purpose of this study is to develop a BMD framework specifically designed for dense-graded non-polymer-modified asphalt surface mixtures applied to low-volume roads. The performance needs of low volume roads along with mixture properties and performance will be evaluated to determine initial BMD threshold values to ensure adequate mixture performance. Historical information for a variety of routes and mixtures will be assessed to determine common properties indicative of their performance. Benchmark testing will be performed for current mixtures used on low volume routes. Modelling of low-volume routes will be performed to evaluate mixture properties necessary for acceptable performance. A strategy for the adoption of BMD criteria for these mixtures will be developed.  
]]></description>
      <pubDate>Thu, 16 Jul 2026 07:52:26 GMT</pubDate>
      <guid>https://rip.trb.org/View/2730683</guid>
    </item>
    <item>
      <title>Effectiveness of IDEAL-RT Test in Assessing Rutting Resistance of NC Asphalt Mixtures</title>
      <link>https://rip.trb.org/View/2726545</link>
      <description><![CDATA[To limit rutting in asphalt pavements, North Carolina Department of Transportation (NCDOT) requires that surface asphalt mixtures meet the Asphalt Pavement Analyzer (APA) test criteria. Mixtures with rut depths below the specified threshold under APA loading are accepted. However, the APA test has several limitations: (1) it requires six hours of temperature conditioning and over two hours of testing, making its long turnaround time suitable only for mix design and acceptance; (2) the device is expensive, heavy, and requires significant laboratory space, limiting accessibility for contractors; and (3) state highway agencies (SHAs) have reported high variability in test results and insufficient correlation with field performance. To ensure pavement performance while reducing testing costs, it is imperative to identify a practical alternative method for evaluating the rutting resistance of asphalt mixtures in North Carolina.

The IDEAL-RT test has recently gained prominence due to its simplicity, rapid execution, and strong predictive capability. Multiple SHAs have adopted it for mix design, acceptance, and quality assurance. As a promising alternative to the APA, it is essential to evaluate the effectiveness of the IDEAL-RT test for North Carolina mixtures.

Correspondingly, the objectives of the proposed research project are to: (1) evaluate the effectiveness of the IDEAL-RT test using NC mixtures, (2) determine the optimum testing condition of the IDEAL-RT test, (3) determine preliminary performance criteria for NC mixtures, and (4) draft testing specifications for its implementation in NC. These objectives will be accomplished by executing the following six tasks: (1) Literature Review: Conduct a comprehensive review to collect information on procedures, testing conditions, acceptance limits, and validation methods for rutting performance tests used by other SHAs. Identify NC mixtures with documented rutting performance. (2) Material Acquisition and Testing: Acquire twelve NC surface mixtures and perform APA, IDEAL-RT, and Stress Sweep Rutting (SSR) tests. (3) Evaluation of IDEAL-RT Effectiveness: Compare IDEAL-RT results with APA rut depths and RSI indices from the SSR test at the material level. At the structural level, compare rankings of mixtures from the IDEAL-RT with both field performance and predicted performance from FlexPAVE (using SSR results as inputs). (4)  Testing Conditions and Thresholds: Recommend the appropriate air void level for IDEAL-RT samples and establish preliminary threshold limits based on findings from Task 3.
(5) Specification Development: Develop a draft testing specification for IDEAL-RT within the framework of NCDOT standards. The specification will consider applications in both mix design and quality assurance (QA). (6) Final Report: Prepare a comprehensive final report summarizing all tasks, findings, and recommendations.

The research will produce an improved testing specification to ensure asphalt mixture quality and performance in both mix design and QA. Implementation of the specification will also reduce the cost and turnaround time of rutting susceptibility testing for asphalt mixtures in North Carolina.

]]></description>
      <pubDate>Thu, 09 Jul 2026 08:35:20 GMT</pubDate>
      <guid>https://rip.trb.org/View/2726545</guid>
    </item>
    <item>
      <title>Verification and Implementation of Production-Level Long-Term Durability Assessment for Asphalt Mixtures</title>
      <link>https://rip.trb.org/View/2726544</link>
      <description><![CDATA[The primary purpose of this study is to verify the suitability, practicality, and implementation viability of the recommended production-level long-term oven-aging (LTOA) protocols and associated cracking tolerance (CT) index threshold within Virginia Department of Transportation's (VDOT's) Balanced Mix Design framework. While the previous research established a practical design-stage LTOA protocol and recommended production-level aging procedures, additional evaluation is needed to confirm that the proposed production protocols and CT index threshold provide a reliable basis for future implementation into statewide production acceptance and quality assurance practices.]]></description>
      <pubDate>Thu, 09 Jul 2026 08:06:36 GMT</pubDate>
      <guid>https://rip.trb.org/View/2726544</guid>
    </item>
    <item>
      <title>Evaluation of Thick Lift Surface Asphalt Pavement Mixtures</title>
      <link>https://rip.trb.org/View/2721743</link>
      <description><![CDATA[When paving asphalt mixtures in a deep patching and rehabilitation application the Virginia Department of Transportation (VDOT) currently limits lift thickness to approximately three to four times the nominal maximum aggregate size (NMAS) of the mixture (VDOT, 2018). For a typical asphalt surface mixture having an NMAS of 9.5 mm, the practice generally limits lift thickness to approximately 1.5 inches. Where deeper distresses must be repaired multiple lifts will be required which increases construction time, prolongs traffic disruption, and introduces additional interfaces between lifts that may affect construction efficiency and field performance.

Therefore, there is a need to evaluate whether asphalt surface mixtures can be placed in a single thick lift without compromising construction quality or long term performance. The study addresses this need by investigating 1) the performance of a 9.5 mm NMAS asphalt mixture in a single 4 inch lift and (2) evaluating the performance of that layer using a combination of laboratory testing, controlled construction, and accelerated pavement testing to assess compaction behavior, material properties, and structural performance.]]></description>
      <pubDate>Thu, 02 Jul 2026 10:54:08 GMT</pubDate>
      <guid>https://rip.trb.org/View/2721743</guid>
    </item>
    <item>
      <title>SPR 784 Calibration of APA values to Hamburg values for SC Asphalt Mixes</title>
      <link>https://rip.trb.org/View/2719305</link>
      <description><![CDATA[The proposed research has several key objectives: (1) Correlate APA and Hamburg Results: Determine the quantitative relationship between APA results and Hamburg Wheel Tracking Test results for a representative set of South Carolina asphalt mixes. This includes assessing correlation in terms of rut depth measurements, ranking of mixture performance, and any conversion formula or trend that links the two test outputs. The goal is to establish what Hamburg test outcome (e.g. rut depth after a certain number of passes, or number of passes to reach a failure rut depth) corresponds to the current APA rut depth criteria after 8,000 cycles. (2) Define Equivalent Hamburg Criteria: Based on the above correlation, develop recommended Hamburg test specification limits for South Carolina Department of Transportation (SCDOT) mix designs. For example, the research should propose a criterion such as “Maximum X mm rut depth at Y passes in the Hamburg test at 50°C” or “Minimum Z passes to reach 12.5 mm rut depth” that would ensure mixes meet or exceed the performance of those that pass the APA requirements. These criteria may vary by mix type or binder grade if appropriate (like the practice of other DOTs requiring more Hamburg passes for higher graded PG binders). (3) Compare Moisture Damage Indication: Evaluate the degree to which the Hamburg test (which has a water component) detects moisture-susceptible mixtures as compared to APA. One objective is to confirm that mixes exhibiting minimal rutting in the APA but containing moisture sensitivity (stripping potential) are properly identified by the Hamburg test. This will demonstrate the added value of Hamburg in preventing moisture-related failures. (4) Incorporate Cracking Performance (IDEAL-CT): Investigate any correlations or patterns between the rutting test results (APA and Hamburg) and cracking test results (IDEAL-CT) for the same mixes. While rutting and cracking are generally independent performance areas, this objective will reveal if a mix that is very resistant to rutting (especially under Hamburg’s rigorous conditions) tends to have any consistent relationship to its cracking resistance (IDEAL-CT index). If strong correlations or trade-offs are observed, SCDOT can use that knowledge to refine its balanced mix design procedure (for instance, ensuring that improving one aspect does not inadvertently degrade the other). (5) Develop Implementation Guidance: Formulate practical recommendations for SCDOT to implement Hamburg Wheel Tracking in the mix design phase. This includes outlining the test protocol to be used (sample preparation, test temperature, pass/fail criteria), any changes to other required tests (e.g. whether APA can be phased out or retained for certain cases, or how IDEAL-CT will be used in tandem), and steps for industry adoption. The end objective is to provide SCDOT’s Asphalt Materials Engineer and Office of Materials and Research (OMR) with the data and tools needed to update the official mix design specification and guidance.

Documentation and Knowledge Transfer: Produce clear deliverables (report, specification draft, recommendations for any changes to other currently-required tests) that document the APA-to-Hamburg calibration and the rationale for any new criteria. A further objective is to engage industry stakeholders throughout the project so that the findings are understood and accepted by asphalt contractors and material suppliers, smoothing the path for real-world implementation.

This project will provide a newly developed specification for the SCDOT to optimize various mixtures utilized around SC. The specific objectives of this project would include the following: (1) Literature review of current mix design procedures used by other states utilizing the Hamburg test; (2) Survey of other State DOT’s current mix design processes;
(3) Compilation and laboratory evaluation of various SCDOT surface, intermediate, and base type mixtures utilizing different aggregate sources; (4) Recommendations for newly developed testing procedures to be used by the SCDOT; (5) Establish a correlation between the APA and Hamburg test results; (6) Evaluation of other current SCDOT test procedures (e.g., IDEAL-CT and ITS) to determine if a correlation exists between those test results and Hamburg results; and (7) Based on the evaluations of several test procedures (e.g., APA, Hamburg, and IDEAL-CT), either updating the current mix design methodology or creating a new model for the system based on the data obtained and evaluated in this study.
]]></description>
      <pubDate>Thu, 25 Jun 2026 09:03:22 GMT</pubDate>
      <guid>https://rip.trb.org/View/2719305</guid>
    </item>
    <item>
      <title>Development of an AI-Powered IDEAL Fatigue Test with a Low-Cost Loading Frame</title>
      <link>https://rip.trb.org/View/2717328</link>
      <description><![CDATA[Fatigue is a fundamental property of asphalt mixes and a key input to pavement mechanistic-empirical (ME) designs. Fatigue failure of asphalt pavements makes state departments of transportation (DOTs) spend a hefty sum annually in their rehabilitation and reconstruction. Such failure is affected by asphalt mixes, but it is essentially a pavement structural design issue. Currently, more and more state DOTs are designing their pavements using ME design programs that require input of fatigue properties of asphalt mixes determined by a fatigue test. However, bending beam fatigue (BBF) test (AASHTO T321) is seldom performed by state DOTs, asphalt industry, or academia because of at least three limitations: (1) expensive compaction and test equipment (> $100,000), (2) tedious specimen preparation and cutting time, and (3) long testing time (weeks). 

Without fatigue testing, default fatigue property values (or model parameters) are generally used, making the resulting pavement designs questionable. For example, reclaimed asphalt pavement (RAP) often stiffens asphalt mixes. The increased modulus leads to a thinner pavement structure from the ME design programs if the actual fatigue property of asphalt mixes containing RAP is not used in the design process. With emphasis on sustainability and use of more recycled materials in asphalt mixes, it becomes rather urgent to have a simple and expensive fatigue test for routine use by state DOTs and the asphalt industry. 

For NCHRP 20-30/IDEA 265, the research team will develop an artificial intelligence (AI)-powered IDEAL fatigue test to make it simple and easy for state DOTs to determine fatigue of their asphalt mixes and optimize their pavement structural designs more accurately. The test will use a low-cost loading frame that most DOTs or contractors already have for balanced mix design. An AI-powered learning algorithm will be developed that will take the measured displacement-force data to determine the fatigue model parameters. The algorithm will be trained with historical Flexural BBF test datasets and validated by comparing the fatigue model parameters of at least 10 asphalt mixes determined by the BBF test with those using the AI-powered algorithm. Using test results, the system’s hardware and software will be refined and finalized. A test procedure will be drafted for evaluation by partner state DOTs. Eight state DOTs (Texas, California, Michigan, Minnesota, Mississippi, Massachusetts, South Carolina, and Virginia) are collaborating on this effort. These partner states will also help develop a plan to demonstrate the new AI-powered fatigue test to other state DOTs.]]></description>
      <pubDate>Tue, 23 Jun 2026 13:37:52 GMT</pubDate>
      <guid>https://rip.trb.org/View/2717328</guid>
    </item>
    <item>
      <title>A Novel Method to Optimize N-design for Balanced Performance and Compactability</title>
      <link>https://rip.trb.org/View/2717326</link>
      <description><![CDATA[The Superpave gyratory compaction number, N-design, represents the number of gyrations a hot mix asphalt is subjected to in a gyratory compactor to simulate field compaction and achieve desired volumetric properties. However, currently specified gyration levels have recently come into question as being rather excessive. High N-design values can reduce voids in mineral aggregates, lower the design asphalt binder content, and ultimately compromise the compactibility and durability of the asphalt mixture. Quite a few state departments of transportation (DOTs) have resorted to modifying their design specifications to lower N-design values, but these adjustments mostly rely on a trial-and-error approach and lack a strong correlation with field compaction behavior and long-term performance. A method with scientific basis would be more appropriate for optimizing N-design, particularly in alignment with the Balanced Mixed Design concept to ensure an optimal trade-off between rutting resistance and cracking performance. 

For NCHRP 20-30/IDEA 267, the research team will conduct research based on the theory that particle rotation under compacting effort serves as a fundamental parameter linking laboratory and field compaction. The method employs the rotation parameter and wireless sensors along with artificial intelligence to bridge the gap between laboratory and field compaction and establishes a scientifically sound approach to determine N-design criterion for balanced performance and improved field compactibility. It also enables laboratory compaction to serve as an effective tool for mix design optimization, specimen preparation for field performance evaluation, and field compaction guidance. 

With a focus on optimizing N-design criteria and evaluating performance, Superpave gyratory compaction tests with wireless sensors will be conducted along with performance tests for rutting and cracking. Laboratory and field compactibility will be evaluated along with volumetric properties and performance. Using the obtained results, N-design for balanced performance and compactibility will be optimized. Next, the optimized N-design and compaction will be validated. Designed mixtures with reduced N-design numbers will be verified and their field compactibility analyzed. Field pavement performance will be monitored, and the reasonableness of the reduced N-design numbers will be confirmed. To facilitate transfer to practice, an implementation plan will be developed, including an Excel-based tool and a training module with a video.]]></description>
      <pubDate>Tue, 23 Jun 2026 13:22:57 GMT</pubDate>
      <guid>https://rip.trb.org/View/2717326</guid>
    </item>
    <item>
      <title>Refining Volumetric Boundaries for Balanced Mix Design (BMD) Approaches</title>
      <link>https://rip.trb.org/View/2712200</link>
      <description><![CDATA[Volumetric parameters have played a foundational role in asphalt mix design, acceptance, and quality assurance (QA). In both the Marshall and the Superpave mix design methods, volumetric criteria guide the selection of materials, aggregate gradation, and binder content. In more recent balanced mix design (BMD) approaches, particularly Approaches A and B, the initial mix design still relies on traditional volumetric properties.

However, the integration of performance-related testing in BMD has raised questions about the continued relevance and appropriate limits of volumetric criteria. Modern asphalt mixtures increasingly incorporate modified binders, additives, reclaimed asphalt pavement (RAP), and other recycled or innovative materials that may result in volumetric properties that differ from conventional hot mix asphalt. Strictly enforcing conventional volumetric criteria may unnecessarily restrict the design flexibility that BMD seeks to promote. At the same time, volumetric properties are relatively easy to measure, monitor, and adjust during mix design, production, and QA, and they provide an additional layer of assurance in mix consistency and constructability.

There is currently no consensus on how volumetric boundaries should be defined to appropriately reflect mixture performance and support effective mix design within the BMD framework. As transportation agencies transition toward performance-related mix design specifications, there is a need to revise current volumetric boundaries to better align with modern materials, performance objectives, and QA practices.

The objective of this research is to investigate the impact of variations in volumetric parameters on modern asphalt mixtures and determine the volumetric boundaries that are suitable for BMD approaches and QA.]]></description>
      <pubDate>Wed, 10 Jun 2026 11:05:18 GMT</pubDate>
      <guid>https://rip.trb.org/View/2712200</guid>
    </item>
    <item>
      <title>The Use of Recycled Plastic in Asphalt Pavements - Phase II</title>
      <link>https://rip.trb.org/View/2689392</link>
      <description><![CDATA[The Nebraska Department of Transportation (NDOT) is exploring sustainable alternatives for roadway construction. Among these, recycled plastics represent a particularly promising pathway, as both the United States and Nebraska face pressing environmental challenges, with more than 75% of waste plastics currently landfilled. In 2023, NDOT partnered with the University of Nebraska–Lincoln (UNL) asphalt research team to launch the first Nebraska feasibility project on this topic, "The Use of Recycled Plastic in Asphalt Pavements: Feasibility Study". Initial findings from Phase 1 demonstrated that, when melted and potentially coating the aggregates, the WP can improve both rutting and moisture damage resistance to a greater extent compared to solid (not melted) WP particles within the mixture. The Phase 1 project could demonstrate the feasibility of producing plastic-modified reclaimed asphalt pavement (RAP) recycled asphalt mixtures (NDOT SPR) mixtures in actual asphalt plants, leading to the construction of the first Nebraska plastic road in South Sioux City (SSC), in collaboration with South Sioux City administration and funding support from the Nebraska Environmental Trust. Based on initial findings of the NDOT funded research, 1% low-density polyethylene (LDPE) dosage (by aggregate mass) was selected for the SSC project. Despite these successes, the feasibility work was limited in scope. Laboratory-produced mixtures were not fully validated against the variability of plant production, long-term field performance remains unknown, and the recyclability of plastic-modified mixtures was not addressed. The findings of this research will demonstrate the feasibility of modifying asphaltic materials through the use of recycled plastics which can potentially improve the durability of asphalt pavements, resulting in significant cost savings and more sustainable asphalt pavements.]]></description>
      <pubDate>Tue, 02 Jun 2026 12:25:00 GMT</pubDate>
      <guid>https://rip.trb.org/View/2689392</guid>
    </item>
    <item>
      <title>Feasibility Study of Zinc Diethyldithiocarbamate (ZDC) Modified Asphalt Mixture for Enhanced Safety through Improved Aging Resistance in Asphalt Pavement</title>
      <link>https://rip.trb.org/View/2703922</link>
      <description><![CDATA[Pavement surface distresses directly affect ride comfort and indirectly cause distraction to the driver resulting in loss of control of the vehicle, which may lead to injuries or deaths. Thermo-oxidative aging of asphalt binder is a key driver of asphalt pavement performance deterioration and distress development, which directly affect ride quality. As a result, mitigating asphalt aging is essential for maintaining pavement performance and ensuring roadway safety. Zinc diethyldithiocarbamate (ZDC), an emerging antioxidant, has shown stronger anti-aging effectiveness than many conventional antioxidants. However, existing studies have primarily focused on binder-level and mixture-level, while its impact on pavement structural performance remains unclear. This leads to a gap in that the effectiveness of ZDC has not yet been validated in terms of its ultimate objective — improving pavement structural performance and safety. The objective of this proposed study is to address this gap by linking laboratory aging characterization of ZDC-modified materials with pavement performance prediction. Comprehensive laboratory testing will be conducted to characterize the aging resistance and mechanical properties of ZDC-modified materials and to provide the required inputs for pavement performance prediction. The pavement structural analysis tool, FlexPAVE, which integrates the recently developed pavement aging model (PAM) and distress prediction models, will be used to predict pavement performance while explicitly incorporating aging mechanisms. ZDC-modified pavement structures will be simulated under representative U.S. climate zones to evaluate the effectiveness of ZDC under diverse environmental conditions, considering that aging rates and dominant distress modes may change with climate patterns. The results will offer insight into the practical use of ZDC for improving pavement performance and safety.]]></description>
      <pubDate>Tue, 19 May 2026 13:37:20 GMT</pubDate>
      <guid>https://rip.trb.org/View/2703922</guid>
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