Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Triaxial resilient modulus regression models for cold recycled asphalt mixtures
Cold recycled asphalt mixtures (CRAMs) may present a compressive resilient modulus dependent on the stress state. Currently, there is no widespread consensus on a triaxial resilient modulus (TxRM) model for CRAM analysis. A widely accepted TxRM model would favour the analysis of CRAM’s layered pavement systems. This paper assessed the adequacy of different TxRM models of CRAM’s specimens with different compositions, aggregate gradation and physical characteristics. Based on the literature, three different TxRM models were selected. The models’ non-linear estimation was performed through Levenberg–Marquardt algorithm. Model selection analysis was based on residuals square sum root (RSSR) assessment. Ni et al.’s model was found to be the most adequate for CRAM’s TxRM modelling based on RSSR analysis. The model selection was done regardless of aggregate gradation, binder type/content, air void content, RAP content, TxRM values range, active filler type and curing time of the tested specimens.
Triaxial resilient modulus regression models for cold recycled asphalt mixtures
Cold recycled asphalt mixtures (CRAMs) may present a compressive resilient modulus dependent on the stress state. Currently, there is no widespread consensus on a triaxial resilient modulus (TxRM) model for CRAM analysis. A widely accepted TxRM model would favour the analysis of CRAM’s layered pavement systems. This paper assessed the adequacy of different TxRM models of CRAM’s specimens with different compositions, aggregate gradation and physical characteristics. Based on the literature, three different TxRM models were selected. The models’ non-linear estimation was performed through Levenberg–Marquardt algorithm. Model selection analysis was based on residuals square sum root (RSSR) assessment. Ni et al.’s model was found to be the most adequate for CRAM’s TxRM modelling based on RSSR analysis. The model selection was done regardless of aggregate gradation, binder type/content, air void content, RAP content, TxRM values range, active filler type and curing time of the tested specimens.
Triaxial resilient modulus regression models for cold recycled asphalt mixtures
Meneses, João Paulo Costa (Autor:in) / Vasconcelos, Kamilla (Autor:in) / Ho, Linda Lee (Autor:in) / Bernucci, Liedi L. B. (Autor:in)
Road Materials and Pavement Design ; 25 ; 166-180
27.06.2024
15 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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