Advances material characterization pavement (4 Ergebnisse)

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Zustand: New.

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Reprint, titled 'Advances in Material Characterization and Pavement Modeling', showcases cutting-edge research driving the future of resilient and sustainable transportation infrastructure. As global road networks face increasing demands from heavy traffic and extreme climates, this collection provides essential insights into material innovation, advanced structural evaluation, and predictive modeling. A major focus of this Reprint is the integration of theoretical and empirical modeling to predict long-term pavement performance. Readers will find sophisticated predictive models for estimating the service life of hydraulic asphalt concrete under extended water immersion, nonlinear dynamic models for analyzing thermal stability and slope flow, and fatigue life prediction equations for large-particle-size mixtures under coupled stress and temperature effects. In addition, the Reprint also highlights comprehensive material characterization. It explores the microstructural and rheological enhancement of asphalt using high-modulus additives, alongside the tailored rheology of ultra-high-performance concrete for pavement overlays. Emphasizing the circular economy, studies validate the use of mine tailings and high-content reclaimed asphalt pavement as sustainable alternatives. Innovative construction techniques, such as double-layer one-time paving for superior low-temperature crack resistance, are also detailed. This Reprint serves as a vital resource for researchers and pavement engineers striving to optimize infrastructure design through advanced characterization and reliable predictive modeling.…

Buch. Zustand: Neu. Advances in Material Characterization and Pavement Modeling | Buch | Englisch | 2026 | MDPI AG | EAN 9783725882151 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.