Development of hybrid machine learning-based carbonation models with weighting function

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

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

Machine learning prediction of carbonation depth in recycled aggregate concrete incorporating SCMs

(2021) Itzel Nunez et al.   CONSTRUCTION AND BUILDING MATERIALS

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

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

Investigation of the parameters influencing progress of concrete carbonation depth by using artificial neural networks

(2020) P. Akpinar et al.   MATERIALES DE CONSTRUCCION

Examining Hybrid and Single SVM Models with Different Kernels to Predict Rock Brittleness

(2020) Danial Jahed Armaghani et al.   Sustainability

A state-of-the-art review on the carbonation process in cementitious materials: Fundamentals and characterization techniques

(2020) Qiwen Qiu   CONSTRUCTION AND BUILDING MATERIALS

Prediction of surface chloride concentration of marine concrete using ensemble machine learning

(2020) Rong Cai et al.   CEMENT AND CONCRETE RESEARCH

A multi-level pore scale reactive transport model for the investigation of combined leaching and carbonation of cement paste

(2020) Ravi A. Patel et al.   CEMENT & CONCRETE COMPOSITES

Carbonation model for fly ash concrete based on artificial neural network: Development and parametric analysis

(2020) Emerson F. Felix et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction and validation of alternative fillers used in micro surfacing mix-design using machine learning techniques

(2019) Rajesh Gujar et al.   CONSTRUCTION AND BUILDING MATERIALS

Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models

(2019) Hui Chen et al.   Applied Sciences-Basel

Model for practical carbonation depth prediction for high volume fly ash concrete and recycled aggregate concrete

(2019) Vedran Carević et al.   CONSTRUCTION AND BUILDING MATERIALS

Concrete under fire: an assessment through intelligent pattern recognition

(2019) M. Z. Naser et al.   ENGINEERING WITH COMPUTERS

Numerical approximation of a concrete carbonation model: Study of the ‐law of propagation

(2019) Antoine Zurek   NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS

The role of relative humidity and cement type on carbonation resistance of concrete

(2019) Mona Elsalamawy et al.   Alexandria Engineering Journal

Compressive strength of Foamed Cellular Lightweight Concrete simulation: New development of hybrid artificial intelligence model

(2019) Ali Ashrafian et al.   CONSTRUCTION AND BUILDING MATERIALS

Invasive Weed Optimization Technique-Based ANN to the Prediction of Rock Tensile Strength

(2019) Lei Huang et al.   Applied Sciences-Basel

Prediction model of carbonation depth for recycled aggregate concrete

(2018) Kaijian Zhang et al.   CEMENT & CONCRETE COMPOSITES

Model for practical prediction of natural carbonation in reinforced concrete: Part 1-formulation

(2018) Stephen O. Ekolu   CEMENT & CONCRETE COMPOSITES

Optimizing asphalt mix design process using artificial neural network and genetic algorithm

(2018) Haissam Sebaaly et al.   CONSTRUCTION AND BUILDING MATERIALS

Carbonation resistance of cements containing supplementary cementitious materials and its relation to various parameters of concrete

(2018) Vineet Shah et al.   CONSTRUCTION AND BUILDING MATERIALS

An empirical model design for evaluation and estimation of carbonation depth in concrete

(2018) Suvash Chandra Paul et al.   MEASUREMENT

Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete

(2018) Sattar Dorafshan et al.   CONSTRUCTION AND BUILDING MATERIALS

Analysis of correlation between real degradation data and a carbonation model for concrete structures

(2018) Pablo Benítez et al.   CEMENT & CONCRETE COMPOSITES

Effects of Environmental Factors on Concrete Carbonation Depth and Compressive Strength

(2018) Ying Chen et al.   Materials

Exploring the major factors affecting fly-ash concrete carbonation using artificial neural network

(2017) Yasmina Kellouche et al.   NEURAL COMPUTING & APPLICATIONS

Carbonation resistance and microstructural analysis of Low and High Volume Fly Ash Self Compacting Concrete containing Recycled Concrete Aggregates

(2016) Navdeep Singh et al.   CONSTRUCTION AND BUILDING MATERIALS

Numerical modeling of supercritical carbonation process in cement-based materials

(2015) Xiaoxiong Zha et al.   CEMENT AND CONCRETE RESEARCH

Experimental study on effects of CO2 concentrations on concrete carbonation and diffusion mechanisms

(2015) Hongzhi Cui et al.   CONSTRUCTION AND BUILDING MATERIALS

Advances in the meta-analysis of heterogeneous clinical trials I: The inverse variance heterogeneity model

(2015) Suhail A.R. Doi et al.   Contemporary Clinical Trials

Analysis of an accelerated carbonation test with severe preconditioning

(2014) Ph. Turcry et al.   CEMENT AND CONCRETE RESEARCH

Ensemble Support Vector Machine Algorithm for Reliability Estimation of a Mining Machine

(2014) Snehamoy Chatterjee et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

Studies on forecasting of carbonation depth of slag high performance concrete considering gas permeability

(2013) Xiantang Zhang et al.   APPLIED CLAY SCIENCE

Comparison of carbonation depths measured on in-field exposed existing r.c. structures with predictions made using fib-Model Code 2010

(2013) Matteo Guiglia et al.   CEMENT & CONCRETE COMPOSITES

Statistical modelling of carbonation in reinforced concrete

(2013) A. Silva et al.   CEMENT & CONCRETE COMPOSITES

Accelerated carbonation of concrete with high content of mineral additions: Effect of interactions between hydration and drying

(2012) A. Younsi et al.   CEMENT AND CONCRETE RESEARCH

Effect of binder content on the performance of alkali-activated slag concretes

(2010) Susan A. Bernal et al.   CEMENT AND CONCRETE RESEARCH

The use of grey relational analysis in solving multiple attribute decision-making problems

(2008) Yiyo Kuo et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A model for predicting the carbonation depth of concrete containing low-calcium fly ash

(2008) Xiao-Yong Wang et al.   CONSTRUCTION AND BUILDING MATERIALS

A performance based approach for durability of concrete exposed to carbonation

(2008) Emmanuel Rozière et al.   CONSTRUCTION AND BUILDING MATERIALS