Optimizing asphalt mix design process using artificial neural network and genetic algorithm
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[1] Sanford E. Thompson,et al. THE LAWS OF PROPORTIONING CONCRETE , 1907 .
[2] Halil Ceylan,et al. Development of Asphalt Dynamic Modulus Master Curve Using Falling Weight Deflectometer Measurements, TR-659 , 2014 .
[3] Sudhir Varma,et al. Development of predictive models for low-temperature indirect tensile strength of asphalt mixtures , 2016 .
[4] P. Toint,et al. A globally convergent augmented Lagrangian algorithm for optimization with general constraints and simple bounds , 1991 .
[5] Teresa M Adams,et al. Pavement Roughness Modeling Using Back‐Propagation Neural Networks , 2004 .
[6] N W Mcleod,et al. PARTICLE INDEX EVALUATION OF AGGREGATES FOR ASPHALT PAVING MIXTURES (WITH DISCUSSION) , 1981 .
[7] Byron E Ruth,et al. Development of Tentative Guidelines for the Selection of Aggregate Gra¬dations in Hot-Mix Asphalt , 2002 .
[8] G. Bosurgi,et al. A model based on artificial neural networks and genetic algorithms for pavement maintenance management , 2005 .
[9] Raymond K Moore,et al. Roughness Level Probability Prediction Using Artificial Neural Networks , 1997 .
[10] Linbing Wang,et al. Computer-aided procedure for determination of asphalt content in asphalt mixture using discrete element method , 2017 .
[11] Bernd Faust,et al. Hot Mix Asphalt Materials Mixture Design And Construction , 2016 .
[12] Karim Chatti,et al. Enhanced Analysis of Falling Weight Deflectometer Data for Use With Mechanistic-Empirical Flexible Pavement Design and Analysis and Recommendations for Improvements to Falling Weight Deflectometers , 2017 .
[13] Karim Chatti,et al. Data requirements from falling weight deflectometer tests for accurate backcalculation of dynamic modulus master curve of asphalt pavements , 2013 .
[14] Nicholas I. M. Gould,et al. A globally convergent Lagrangian barrier algorithm for optimization with general inequality constraints and simple bounds , 1997, Math. Comput..
[15] Jidong Yang,et al. Forecasting Overall Pavement Condition with Neural Networks: Application on Florida Highway Network , 2003 .
[16] Shihui Shen,et al. Analysis of Aggregate Gradation and Packing for Easy Estimation of Hot-Mix-Asphalt Voids in Mineral Aggregate , 2011 .
[17] Sudhir Varma,et al. Backcalculation of viscoelastic and nonlinear flexible pavement layer properties from falling weight deflections , 2016 .
[18] Kalyanmoy Deb,et al. Optimization for Engineering Design: Algorithms and Examples , 2004 .
[19] B. Birgisson,et al. Development of Mix Design Guidelines for Improved Performance of Asphalt Mixtures , 2006 .
[20] K. Deb. An Efficient Constraint Handling Method for Genetic Algorithms , 2000 .
[21] M. Emin Kutay,et al. An artificial neural network model for virtual Superpave asphalt mixture design , 2014 .
[22] Sesh Commuri,et al. Neural Network–Based Intelligent Compaction Analyzer for Estimating Compaction Quality of Hot Asphalt Mixes , 2011 .
[23] Athanasios P. Chassiakos,et al. Optimization Model for Pavement Maintenance Planning and Resource Allocation , 2012 .
[24] S. Ranji Ranjithan,et al. Application of Artificial Neural Networks for Estimating Dynamic Modulus of Asphalt Concrete , 2009 .
[25] Robert L. Lytton,et al. Models for Predicting Reflection Cracking of Hot-Mix Asphalt Overlays , 2010 .
[26] Hao Wang,et al. Development of ANN-GA program for backcalculation of pavement moduli under FWD testing with viscoelastic and nonlinear parameters , 2019 .