Systematic error patterns in dynamic modulus predictive models of asphalt concrete
Author:
Affiliation:
1. Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, India
Publisher
Informa UK Limited
Subject
Mechanics of Materials,Civil and Structural Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/10298436.2021.1931193
Reference37 articles.
1. Sensitivity analysis of a new dynamic modulus (|E*|) model for asphalt mixtures
2. Comparison of Simple Performance Test |E*| of Accelerated Loading Facility Mixtures and Prediction |E*|
3. Bari, J., 2005. Development of a new revised version of the Witczak E* predictive models for hot mix asphalt mixtures. Doctoral dissertation, Arizona State University, Tempe, Ariz.
4. Evaluation of a Predicted Dynamic Modulus for Florida Mixtures
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1. Analysing Witczak 1-37A, Witczak 1-40D and Modified Hirsch Models for asphalt dynamic modulus prediction using global sensitivity analysis;International Journal of Pavement Engineering;2023-10-18
2. An evolutionary computing approach for reducing bias in the dynamic modulus predictive models of hot mix asphalt;Construction and Building Materials;2022-10
3. Performance evaluation of recycled asphalt mixtures with various percentages of RAP from the rotary decomposition process;Construction and Building Materials;2022-02
4. Research Trends in Materials and Design of Asphalt Pavements;Springer Transactions in Civil and Environmental Engineering;2022
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