Transport Research International Documentation (TRID) https://trid.trb.org/ en-us Copyright © 2026. National Academy of Sciences. All rights reserved. http://blogs.law.harvard.edu/tech/rss tris-trb@nas.edu (Bill McLeod) tris-trb@nas.edu (Bill McLeod) Transport Research International Documentation (TRID) https://trid.trb.org/Images/PageHeader-wTitle.jpg https://trid.trb.org/ Magnesium chloride deicer and asphalt: a multiscale approach to adhesion and damage characterisation https://trid.trb.org/View/2618000 Mon, 09 Feb 2026 13:55:11 GMT https://trid.trb.org/View/2618000 Unlocking the potential of mine overburden materials and coconut coir geotextile: a full-scale study on reinforcing low-volume roads in India https://trid.trb.org/View/2618021 Mon, 09 Feb 2026 13:55:11 GMT https://trid.trb.org/View/2618021 Analytical Solution of Displacement and Stress Induced by the Sequential Excavation of Shallow Twin Noncircular Tunnels in Viscoelastic Rock https://trid.trb.org/View/2636051 Wed, 04 Feb 2026 16:28:52 GMT https://trid.trb.org/View/2636051 Investigation of the impact of mineral adsorption on asphalt binder aging through rheological and chemical analyses https://trid.trb.org/View/2643547 Sun, 01 Feb 2026 16:32:19 GMT https://trid.trb.org/View/2643547 Effect of the geometrical and physical nature of filler on the rheological properties of mastics https://trid.trb.org/View/2643661 Thu, 29 Jan 2026 17:02:24 GMT https://trid.trb.org/View/2643661 The Suitability of Periwinkle Shell Dust as Mineral Filler in Asphalt Mixtures https://trid.trb.org/View/2561963 Tue, 27 Jan 2026 16:16:15 GMT https://trid.trb.org/View/2561963 A logistic threshold model for asphalt-aggregate adhesion based on mineral composition https://trid.trb.org/View/2636353 65 % SiO₂) with severe damage. For natural aggregates, the combined SiO₂+Al₂O₃ content provided a similar logistic relationship, with zones at < 60 %, 60–85 %, and > 85 %, respectively. Asphalt properties (e.g., softening point, viscosity) significantly influenced these thresholds. These findings provide quantitative, practical criteria for aggregate selection and optimization of asphalt mixtures, especially when incorporating non-traditional or acidic aggregates.]]> Wed, 31 Dec 2025 10:58:24 GMT https://trid.trb.org/View/2636353 Implementation of hydrated lime derived from scallop shell waste as mineral filler in Stone Mastic Asphalt (SMA) mixtures https://trid.trb.org/View/2616467 Mon, 22 Dec 2025 16:41:22 GMT https://trid.trb.org/View/2616467 Dynamic Analysis of Displacement of Asphalt Pavement Considering Viscoelastic Properties Under Thermal Coupling https://trid.trb.org/View/2643109 Mon, 22 Dec 2025 16:07:48 GMT https://trid.trb.org/View/2643109 Synergistic enhancement of bituminous concrete mixture performance with polypropylene granule modified binder and rice husk ash as mineral filler substitute https://trid.trb.org/View/2636877 Mon, 22 Dec 2025 10:59:50 GMT https://trid.trb.org/View/2636877 Taconite as a Lower-Cost, Alternative High Friction Surface Treatment to Calcined Bauxite for Low Volume Roads in Minnesota https://trid.trb.org/View/2636124 Mon, 15 Dec 2025 10:32:25 GMT https://trid.trb.org/View/2636124 Monitoring Method and System of Pre-Convergence Deformation of Soft Surrounding Rock Tunnel https://trid.trb.org/View/2633027 Wed, 03 Dec 2025 10:27:28 GMT https://trid.trb.org/View/2633027 Study of effective asphalt film (EAF) structures with U-Net-based fully supervised learning https://trid.trb.org/View/2603213 2360 μm, serving as the dominant structural constituent for the asphalt film) and surrounding particles (with diameters <2360 μm, forming the primary constituents of the film). It was observed that the density of surrounding particles increases with distance from the surface of the central particles, and this distribution trend is significantly influenced by the type of mixture. Moreover, it was found that the distribution of surrounding particles within the EAF exhibits uniformity that transcends the physical morphology of the central particle. Additionally, the observed distribution pattern does not conform to classical mathematical functions, this shows its probabilistic characterization. These findings further validate the Cherry Model as an effective framework for describing the probabilistic, image-based stratification characteristics of the EAF, providing both visual and statistical support for its internal structure.]]> Wed, 12 Nov 2025 09:35:16 GMT https://trid.trb.org/View/2603213 Influence of Physicochemical Characteristics of Mineral Fillers on the Rheological Performance of Bituminous Mastic https://trid.trb.org/View/2620628 Sat, 08 Nov 2025 12:03:19 GMT https://trid.trb.org/View/2620628 Multiple targets displacement response identification in bridges via an enhanced monocular vision-based method https://trid.trb.org/View/2576705 Thu, 16 Oct 2025 17:02:35 GMT https://trid.trb.org/View/2576705