The prediction analysis of properties of recycled aggregate permeable concrete based on back-propagation neural network

Study on the Permeability of Recycled Aggregate Pervious Concrete with Fibers

(2020) Haitang Zhu et al.   Materials

Properties of high strength polypropylene fiber concrete containing recycled aggregate

(2020) Tuqa Waleed Ahmed et al.   CONSTRUCTION AND BUILDING MATERIALS

Estimating the compressive strength of eco-friendly concrete incorporating recycled coarse aggregate using neuro-fuzzy approach

(2020) Hosein Naderpour et al.   JOURNAL OF CLEANER PRODUCTION

Mechanical performance study of pervious concrete using steel slag aggregate through laboratory tests and numerical simulation

(2020) Guotong Wang et al.   JOURNAL OF CLEANER PRODUCTION

Development of relationships between permeability coefficient and electrical and thermal conductivity of recycled aggregates permeable cement concrete

(2020) Hui Wang et al.   CONSTRUCTION AND BUILDING MATERIALS

Experimental investigation and comparative machine-learning prediction of strength behavior of optimized recycled rubber concrete

(2020) Mostafa Jalal et al.   CONSTRUCTION AND BUILDING MATERIALS

Comparison of artificial neural network (ANN) and response surface methodology (RSM) prediction in compressive strength of recycled concrete aggregates

(2019) Abdelkader Hammoudi et al.   CONSTRUCTION AND BUILDING MATERIALS

Parametric sensitivity analysis and modelling of mechanical properties of normal- and high-strength recycled aggregate concrete using grey theory, multiple nonlinear regression and artificial neural networks

(2019) Jinjun Xu et al.   CONSTRUCTION AND BUILDING MATERIALS

Shear behavior of three types of recycled aggregate concrete

(2019) Bing Liu et al.   CONSTRUCTION AND BUILDING MATERIALS

Sustainable design of pervious concrete using waste glass and recycled concrete aggregate

(2019) Jian-Xin Lu et al.   JOURNAL OF CLEANER PRODUCTION

Alleviating urban heat island effect using high-conductivity permeable concrete pavement

(2019) Jiaqi Chen et al.   JOURNAL OF CLEANER PRODUCTION

Use of recycled aggregates arising from construction and demolition waste in new construction applications

(2019) R.V. Silva et al.   JOURNAL OF CLEANER PRODUCTION

Studying the mix design and investigating the photocatalytic performance of pervious concrete containing TiO2-Soaked recycled aggregates

(2019) Yidong Xu et al.   JOURNAL OF CLEANER PRODUCTION

A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete

(2018) Dac-Khuong Bui et al.   CONSTRUCTION AND BUILDING MATERIALS

Characterization of pervious concrete with blended natural aggregate and recycled concrete aggregates

(2018) Soon Poh Yap et al.   JOURNAL OF CLEANER PRODUCTION

Application of soft computing methods for predicting the elastic modulus of recycled aggregate concrete

(2018) Emadaldin Mohammadi Golafshani et al.   JOURNAL OF CLEANER PRODUCTION

Experimental investigation on permeability indices and strength of modified pervious concrete with recycled concrete aggregate

(2018) Ali A. Aliabdo et al.   CONSTRUCTION AND BUILDING MATERIALS

Implementation of a specific urban water management - Sponge City

(2018) Thu Thuy Nguyen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Prediction of the mechanical properties of structural recycled concrete using multivariable regression and genetic programming

(2016) Iris González-Taboada et al.   CONSTRUCTION AND BUILDING MATERIALS

A comparative study on the compressive strength prediction models for High Performance Concrete containing nano silica and copper slag using regression analysis and Artificial Neural Networks

(2016) S. Chithra et al.   CONSTRUCTION AND BUILDING MATERIALS

Properties and composition of recycled aggregates from construction and demolition waste suitable for concrete production

(2014) R.V. Silva et al.   CONSTRUCTION AND BUILDING MATERIALS

Effect of different substitution of natural aggregate by recycled aggregate on performance characteristics of pervious concrete

(2014) Erhan Güneyisi et al.   MATERIALS AND STRUCTURES

Enhanced artificial intelligence for ensemble approach to predicting high performance concrete compressive strength

(2013) Jui-Sheng Chou et al.   CONSTRUCTION AND BUILDING MATERIALS

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

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

Prediction of compressive strength of concrete containing construction and demolition waste using artificial neural networks

(2012) Adriana Trocoli Abdon Dantas et al.   CONSTRUCTION AND BUILDING MATERIALS

Estimation of compressive strength of self compacting concrete containing polypropylene fiber and mineral additives exposed to high temperature using artificial neural network

(2011) Mucteba Uysal et al.   CONSTRUCTION AND BUILDING MATERIALS

A study on the seawater purification characteristics of water-permeable concrete using recycled aggregate

(2009) Seung Bum Park et al.   RESOURCES CONSERVATION AND RECYCLING

Influence of recycled aggregate quality and proportioning criteria on recycled concrete properties

(2009) F. López-Gayarre et al.   WASTE MANAGEMENT