Hybrid machine learning model and Shapley additive explanations for compressive strength of sustainable concrete

Damage degree evaluation of masonry using optimized SVM-based acoustic emission monitoring and rate process theory

(2022) Yanqi Wu et al.   MEASUREMENT

Prediction of concrete strengths enabled by missing data imputation and interpretable machine learning

(2022) Gideon A. Lyngdoh et al.   CEMENT & CONCRETE COMPOSITES

Compressive strength prediction of basalt fiber reinforced concrete via random forest algorithm

(2022) Hong Li et al.   Materials Today Communications

Predictive modelling for sustainable high-performance concrete from industrial wastes: A comparison and optimization of models using ensemble learners

(2021) Furqan Farooq et al.   JOURNAL OF CLEANER PRODUCTION

Concrete compressive strength prediction modeling utilizing deep learning long short-term memory algorithm for a sustainable environment

(2021) Sarmad Dashti Latif   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Seismic fragility analysis of high concrete faced rockfill dams based on plastic failure with support vector machine

(2021) Yang Zhou et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Predicting the mechanical properties of cement mortar using the support vector machine approach

(2021) S. Jueyendah et al.   CONSTRUCTION AND BUILDING MATERIALS

Data-driven model for ternary-blend concrete compressive strength prediction using machine learning approach

(2021) Babatunde Abiodun Salami et al.   CONSTRUCTION AND BUILDING MATERIALS

Predicting the mechanical properties of sustainable concrete containing waste foundry sand using multi-objective ANN approach

(2021) Emadaldin Mohammadi Golafshani et al.   CONSTRUCTION AND BUILDING MATERIALS

Empirical-based support vector machine method for seismic assessment and simulation of reinforced concrete columns using historical cyclic tests

(2021) Zhenliang Liu et al.   ENGINEERING STRUCTURES

Uncertainty quantification of ultimate compressive strength of CCFST columns using hybrid machine learning model

(2021) Mai-Suong T. Nguyen et al.   ENGINEERING WITH COMPUTERS

Developing a boosted decision tree regression prediction model as a sustainable tool for compressive strength of environmentally friendly concrete

(2021) Sarmad Dashti Latif   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Predicting Marshall parameters of flexible pavement using support vector machine and genetic programming

(2021) Weiguang Zhang et al.   CONSTRUCTION AND BUILDING MATERIALS

Predicting the compressive strength of concrete with fly ash admixture using machine learning algorithms

(2021) Hongwei Song et al.   CONSTRUCTION AND BUILDING MATERIALS

A hybrid machine learning approach in prediction and uncertainty quantification of ultimate compressive strength of RCFST columns

(2021) Mai Suong T. Nguyen et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of seven-day compressive strength of field concrete

(2021) Xueqing Zhang et al.   CONSTRUCTION AND BUILDING MATERIALS

Predicting the compressive strength of concrete containing metakaolin with different properties using ANN

(2021) M.J. Moradi et al.   MEASUREMENT

Green concrete with ground granulated blast-furnace slag activated by desulfurization gypsum and electric arc furnace reducing slag

(2020) Ying Li et al.   JOURNAL OF CLEANER PRODUCTION

Experimental investigation and modelling the deformation properties of demolition wastes subjected to freeze–thaw cycles using ANN and SVR

(2020) Behnam Ghorbani et al.   CONSTRUCTION AND BUILDING MATERIALS

Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach

(2020) Sujith Mangalathu et al.   ENGINEERING STRUCTURES

influence of recycled aggregate replacement and fly ash content in performance of pervious concrete mixtures

(2020) Gabrieli Lazzari Vieira et al.   JOURNAL OF CLEANER PRODUCTION

A Comparative Study of Random Forest and Genetic Engineering Programming for the Prediction of Compressive Strength of High Strength Concrete (HSC)

(2020) Furqan Farooq et al.   Applied Sciences-Basel

Prediction of the splitting tensile strength of the bonding interface by combining the support vector machine with the particle swarm optimization algorithm

(2020) Wei Jiang et al.   ENGINEERING STRUCTURES

Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete

(2019) Dong Dao et al.   Materials

Combination of Support Vector Machine and K-Fold cross validation to predict compressive strength of concrete in marine environment

(2019) Hao Ling et al.   CONSTRUCTION AND BUILDING MATERIALS

Modeling the compressive strength of high-strength concrete: An extreme learning approach

(2019) Abobakr Khalil Al-Shamiri et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction Model of Compressive Strength Development in Concrete Containing Four Kinds of Gelled Materials with the Artificial Intelligence Method

(2019) Guohua Liu et al.   Applied Sciences-Basel

Modelling uniaxial compressive strength of lightweight self-compacting concrete using random forest regression

(2019) Junfei Zhang et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of fresh and hardened properties of self-compacting concrete using support vector regression approach

(2019) Prasenjit Saha et al.   NEURAL COMPUTING & APPLICATIONS

A generalized method to predict the compressive strength of high-performance concrete by improved random forest algorithm

(2019) Qinghua Han et al.   CONSTRUCTION AND BUILDING MATERIALS

Cyber-physical system-based real-time monitoring and visualization of greenhouse gas emissions of prefabricated construction

(2019) Guiwen Liu et al.   JOURNAL OF CLEANER PRODUCTION

Prediction of Compressive Strength of Concrete: Critical Comparison of Performance of a Hybrid Machine Learning Model with Standalone Models

(2019) Rachel Cook et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

Linear and non-linear SVM prediction for fresh properties and compressive strength of high volume fly ash self-compacting concrete

(2019) Mohammad Azimi-Pour et al.   CONSTRUCTION AND BUILDING MATERIALS

Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer

(2019) Emadaldin Mohammadi Golafshani et al.   CONSTRUCTION AND BUILDING MATERIALS

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

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

Computational design optimization of concrete mixtures: A review

(2018) M.A. DeRousseau et al.   CEMENT AND CONCRETE RESEARCH

Cleaner production of one-part white geopolymer cement using pre-treated wood biomass ash and diatomite

(2018) Hassan Soltan Hassan et al.   JOURNAL OF CLEANER PRODUCTION

Application of statistical analysis to evaluate the corrosion resistance of steel rebars embedded in concrete with marble and granite waste dust

(2018) Iman Taji et al.   JOURNAL OF CLEANER PRODUCTION

Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete

(2017) Faezehossadat Khademi et al.   Frontiers of Structural and Civil Engineering