Neural Network Aided Homogenization Approach for Predicting Effective Thermal Conductivity of Composite Construction Materials. [PDF]
Materials (Basel), 2023 Shi Z, Peng W, Xiang C, Li L, Xie Q.
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Fuzzy-Modulus-Based Layered Elastic Analysis of Asphalt Pavements for Enhanced Fatigue Life Prediction. [PDF]
Materials (Basel)Zbiciak A +4 more
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Prediction Models Based on Regression and Artificial Neural Network for Moduli of Layers Constituted by Open-Graded Aggregates. [PDF]
Materials (Basel), 2021 Lee Y, Choi Y, Ahn D, Ahn J.
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, 2008 National audienceDans ce papier, nous proposons un algorithme de recherche locale stochastique (SLS) pour résoudre le problème de la détermination du gagnant (PDG) dans les enchères combinatoires.
Benhamou, Belaïd +2 more
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Evaluation of Low Volume Roads Surfaced with 100% RAP Millings. [PDF]
Materials (Basel), 2022 Hand AJT +4 more
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Pavement Properties and Predictive Durability Analysis of Asphalt Mixtures. [PDF]
Polymers (Basel), 2022 Zhang G, Wu H, Li P, Qiu J, Nian T.
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Advances in Permanent Deformation Modeling of Asphalt Concrete-A Review. [PDF]
Materials (Basel), 2022 Alamnie MM, Taddesse E, Hoff I.
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Fast-Acquiring High-Quality Prony Series Parameters of Asphalt Concrete through Viscoelastic Continuous Spectral Models. [PDF]
Materials (Basel), 2022 Zhang Y, Sun Y.
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Energy-Based Approach to Predict Fatigue Life of Asphalt Mixture Using Three-Point Bending Fatigue Test. [PDF]
Materials (Basel), 2018 Sun Y, Fang C, Wang J, Ma Z, Ye Y.
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