Using Neural Networks to Determine the Significance of Aggregate Characteristics Affecting the Mechanical Properties of Recycled Aggregate Concrete

Durability performance of high-performance concrete made with recycled aggregates, fly ash and densified silica fume

(2018) D. Pedro et al.   CEMENT & CONCRETE COMPOSITES

Understanding variability in recycled aggregate concrete mechanical properties through numerical simulation and statistical evaluation

(2018) Anuruddha Jayasuriya et al.   CONSTRUCTION AND BUILDING MATERIALS

Mechanical properties, durability, and life-cycle assessment of concrete building blocks incorporating recycled concrete aggregates

(2018) Zhanggen Guo et al.   JOURNAL OF CLEANER PRODUCTION

Five-phase modelling for effective diffusion coefficient of chlorides in recycled concrete

(2018) Zhi Hu et al.   MAGAZINE OF CONCRETE RESEARCH

Durability of crushed fine recycled aggregate concrete assessed by permeability-related properties

(2018) Luís Evangelista et al.   MAGAZINE OF CONCRETE RESEARCH

Life cycle assessment of recycled concretes: A case study in southern Italy

(2018) Francesco Colangelo et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Prediction of Compressive Strength of Concrete in Wet-Dry Environment by BP Artificial Neural Networks

(2018) Chengyao Liang et al.   Advances in Materials Science and Engineering

Life cycle assessment of concrete made with high volume of recycled concrete aggregates and fly ash

(2018) Rawaz Kurda et al.   RESOURCES CONSERVATION AND RECYCLING

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

Prediction of Concrete Compressive Strength by Evolutionary Artificial Neural Networks

(2015) Mehdi Nikoo et al.   Advances in Materials Science and Engineering

Effects of the old cement mortar attached to the recycled aggregate surface on the bond characteristics between aggregate and cement mortar

(2014) D.S. Seo 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

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

(2013) Z.H. Duan 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 self-compacting concrete containing bottom ash using artificial neural networks

(2011) Rafat Siddique et al.   ADVANCES IN ENGINEERING SOFTWARE

Recycled aggregate concrete (RAC) – comparative analysis of existing specifications

(2010) P. Gonçalves et al.   MAGAZINE OF CONCRETE RESEARCH

Parameters for assessing recycled aggregate and their correlation

(2009) Vivian W. Y. Tam et al.   WASTE MANAGEMENT & RESEARCH

Analysis of durability of high performance concrete using artificial neural networks

(2008) R. Parichatprecha et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of long-term effects of GGBFS on compressive strength of concrete by artificial neural networks and fuzzy logic

(2008) Mustafa Sarıdemir et al.   CONSTRUCTION AND BUILDING MATERIALS

Modeling and Analysis of Concrete Slump Using Artificial Neural Networks

(2008) Ashu Jain et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Mechanical properties of 5-year-old concrete prepared with recycled aggregates obtained from three different sources

(2008) S.-C. Kou et al.   MAGAZINE OF CONCRETE RESEARCH