Using artificial neural networks to predict the 28-day compressive strength of roller-compacted concrete pavements containing RAP aggregates

Development of an artificial neural network (ANN)-based model to predict permanent deformation of base course containing reclaimed asphalt pavement (RAP)

(2020) Saad Ullah et al.   Road Materials and Pavement Design

Effect of long-term ageing on properties of RAP inclusive WMA mixes

(2019) Kumari Monu et al.   CONSTRUCTION AND BUILDING MATERIALS

Laboratory Investigation on the Fresh, Mechanical, and Durability Properties of Roller Compacted Concrete Pavement Containing Reclaimed Asphalt Pavement Aggregates

(2019) Solomon Debbarma et al.   TRANSPORTATION RESEARCH RECORD

Laboratory investigation of RAP aggregates for dry lean concrete mixes

(2018) Surender Singh et al.   CONSTRUCTION AND BUILDING MATERIALS

Utilization of reclaimed asphalt pavement aggregates containing waste from Sugarcane Mill for production of concrete mixes

(2018) Surender Singh et al.   JOURNAL OF CLEANER PRODUCTION

Sustainability assessment for portland cement concrete pavement containing reclaimed asphalt pavement aggregates

(2018) Xijun Shi et al.   JOURNAL OF CLEANER PRODUCTION

Using Artificial Neural Networks to Predict the Dynamic Modulus of Asphalt Mixtures Containing Recycled Asphalt Shingles

(2018) Jun Liu et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Experimental Investigation of PCC Incorporating RAP

(2018) Sawssen El Euch Ben Said et al.   International Journal of Concrete Structures and Materials

A laboratory investigation on Dense Bituminous Macadam containing different fractions of coarse and fine RAP

(2018) Monu Kumari et al.   CONSTRUCTION AND BUILDING MATERIALS

Feasibility of roller compacted concrete pavement containing different fractions of reclaimed asphalt pavement

(2018) Solomon Debbarma et al.   CONSTRUCTION AND BUILDING MATERIALS

Feasibility study of RAP aggregates in cement concrete pavements

(2017) Surender Singh et al.   Road Materials and Pavement Design

Expansive and Concrete Properties of SFS–FRAP Aggregates

(2016) Alexander S. Brand et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Ternary Concrete with Fractionated Reclaimed Asphalt Pavement

(2015) Alexander S. Brand et al.   ACI MATERIALS JOURNAL

Assessing the effects of recycled asphalt pavement materials on the performance of roller compacted concrete

(2015) Chafika Settari et al.   CONSTRUCTION AND BUILDING MATERIALS

Mechanical properties of roller compacted concrete containing rice husk ash with original and recycled asphalt pavement material

(2014) Amir Modarres et al.   MATERIALS & DESIGN

Using artificial neural networks for predicting the elastic modulus of recycled aggregate concrete

(2013) Z.H. Duan et al.   CONSTRUCTION AND BUILDING MATERIALS

Fresh, Mechanical, and Durability Characteristics of Self-Consolidating Concrete Incorporating Recycled Asphalt Pavements

(2013) Ahmed Ibrahim et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Using ANN and ANFIS to predict the mechanical and chloride permeability properties of concrete containing GGBFS and CNI

(2012) Ahmet Raif Boğa et al.   COMPOSITES PART B-ENGINEERING

Prediction of compressive strength of recycled aggregate concrete using artificial neural networks

(2012) Z.H. Duan et al.   CONSTRUCTION AND BUILDING MATERIALS

Landslide susceptibility assessment in the Hoa Binh province of Vietnam: A comparison of the Levenberg–Marquardt and Bayesian regularized neural networks

(2012) Dieu Tien Bui et al.   GEOMORPHOLOGY

Use of concrete road recycled aggregates for Roller Compacted Concrete

(2009) Luc Courard et al.   CONSTRUCTION AND BUILDING MATERIALS

Speeding up the scaled conjugate gradient algorithm and its application in neuro-fuzzy classifier training

(2009) Bayram Cetişli et al.   SOFT COMPUTING

Peak load forecasting using Bayesian regularization, Resilient and adaptive backpropagation learning based artificial neural networks

(2008) Lalit Mohan Saini   ELECTRIC POWER SYSTEMS RESEARCH

Predicting the strength development of cements produced with different pozzolans by neural network and fuzzy logic

(2008) İlker Bekir Topçu et al.   MATERIALS & DESIGN

Prediction of mechanical properties of recycled aggregate concretes containing silica fume using artificial neural networks and fuzzy logic

(2007) İlker Bekir Topçu et al.   COMPUTATIONAL MATERIALS SCIENCE