Predictive models for dynamic modulus using weighted least square nonlinear multiple regression model

The objectives of this paper are (1) to evaluate the dynamic modulus prediction models and (2) to develop an alternative prediction model using the nonlinear multiple regression method. A total of 14 field produced mixture types (in a total of 1314 measurements) with various designed traffic levels...

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Veröffentlicht in:	Canadian journal of civil engineering 2012-05, Vol.39 (5), p.589-597
Hauptverfasser:	You, Zhanping, Goh, Shu Wei, Dong, Jianping
Format:	Artikel
Sprache:	eng
Schlagworte:	Aggregates Applied sciences asphalt mixes Bitumen. Tars. Bituminous binders and bituminous concretes Buildings. Public works Computation methods. Tables. Charts conception mécanistique-empirique Design and construction dynamic modulus Dynamic tests Exact sciences and technology Least squares method Materials Mathematical analysis Mathematical models Mechanical properties mechanistic-empirical design Methods module dynamique modèle de régression multiple non linéaire moindres carrés pondérés mélanges bitumineux Nonlinear dynamics Nonlinear equations nonlinear multiple regression model Nonlinearity Pavements, Asphalt Prediction models Prediction theory Predictions Regression Regression analysis Road construction. Pavements. Maintenance Strength of materials (elasticity, plasticity, buckling, etc.) Structural analysis. Stresses Studies Surfacing Transportation infrastructure weighted least square
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