Accurate prediction of concrete compressive strength based on explainable features using deep learning

Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models

(2021) Panagiotis G. Asteris et al.   CEMENT AND CONCRETE RESEARCH

Automated detection and segmentation of concrete air voids using zero-angle light source and deep learning

(2021) Yongqi Wei et al.   AUTOMATION IN CONSTRUCTION

Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests

(2021) Panagiotis G. Asteris et al.   CONSTRUCTION AND BUILDING MATERIALS

Soft computing-based models for the prediction of masonry compressive strength

(2021) Panagiotis G. Asteris et al.   ENGINEERING STRUCTURES

An evaluation of the recycled aggregate characteristics and the recycled aggregate concrete mechanical properties

(2020) Guoliang Bai et al.   CONSTRUCTION AND BUILDING MATERIALS

A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength

(2020) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

The past and future of sustainable concrete: A critical review and new strategies on cement-based materials

(2020) Jorge de Brito et al.   JOURNAL OF CLEANER PRODUCTION

Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach

(2019) De-Cheng Feng et al.   CONSTRUCTION AND BUILDING MATERIALS

Concrete compressive strength using artificial neural networks

(2019) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Compressive strength prediction of recycled concrete based on deep learning

(2018) Fangming Deng et al.   CONSTRUCTION AND BUILDING MATERIALS

Using Response Surface Methodology and providing a modified model using whale algorithm for estimating the compressive strength of columns confined with FRP sheets

(2018) Yaser Moodi et al.   CONSTRUCTION AND BUILDING MATERIALS

Properties of recycled concrete aggregate and their influence in new concrete production

(2018) Kho Pin Verian et al.   RESOURCES CONSERVATION AND RECYCLING

Effect of cement strength class on the generalization of Abrams' law

(2018) Amirhossein Kargari et al.   Structural Concrete

Effect of types of aggregate and sand-to-aggregate volume ratio on UPV in concrete

(2016) Tarek Uddin Mohammed et al.   CONSTRUCTION AND BUILDING MATERIALS

Evaluation of soil-concrete interface shear strength based on LS-SVM

(2016) Chunshun Zhang et al.   Geomechanics and Engineering

Deep learning

(2015) Yann LeCun et al.   NATURE

Prediction of shear strength of FRP-reinforced concrete flexural members without stirrups using artificial neural networks

(2014) S. Lee et al.   ENGINEERING STRUCTURES

Prediction of concrete compressive strength: Research on hybrid models genetic based algorithms and ANFIS

(2013) Zhe Yuan et al.   ADVANCES IN ENGINEERING SOFTWARE

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

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

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

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

Neural networks analysis of compressive strength of lightweight concrete after high temperatures

(2013) A. Ferhat Bingöl et al.   MATERIALS & DESIGN

Compressive strength of geopolymers produced by ordinary Portland cement: Application of genetic programming for design

(2012) Ali Nazari   MATERIALS & DESIGN

Predicting properties of High Performance Concrete containing composite cementitious materials using Artificial Neural Networks

(2011) Mohammad Iqbal Khan   AUTOMATION IN CONSTRUCTION

Effect of water–binder ratio on the mechanical properties of calcium hydroxide-based alkali-activated slag concrete

(2011) Keun-Hyeok Yang et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of FRP-confined compressive strength of concrete using artificial neural networks

(2010) H. Naderpour et al.   COMPOSITE STRUCTURES

Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete

(2009) Fatih Özcan et al.   ADVANCES IN ENGINEERING SOFTWARE

Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networks

(2008) Gregor Trtnik et al.   ULTRASONICS

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