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

A new method for exploring gene–gene and gene–environment interactions in GWAS with tree ensemble methods and SHAP values

(2021) Pål V. Johnsen et al.   BMC BIOINFORMATICS

Corrosion rate prediction and influencing factors evaluation of low-alloy steels in marine atmosphere using machine learning approach

(2020) Luchun Yan et al.   SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS

Toward intelligent construction: Prediction of mechanical properties of manufactured-sand concrete using tree-based models

(2020) Junfei Zhang et al.   JOURNAL OF CLEANER PRODUCTION

Explainable artificial intelligence model to predict acute critical illness from electronic health records

(2020) Simon Meyer Lauritsen et al.   Nature Communications

Elucidating the Behavior of Nanophotonic Structures through Explainable Machine Learning Algorithms

(2020) Christopher Yeung et al.   ACS Photonics

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

Role of Limestone Powder in Early-Age Cement Paste Considering Fineness Effects

(2020) Qiang Ren et al.   JOURNAL OF MATERIALS IN CIVIL ENGINEERING

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

Efficient machine learning models for prediction of concrete strengths

(2020) Hoang Nguyen et al.   CONSTRUCTION AND BUILDING MATERIALS

Machine learning-guided synthesis of advanced inorganic materials

(2020) Bijun Tang et al.   Materials Today

Elucidating the constitutive relationship of calcium–silicate–hydrate gel using high throughput reactive molecular simulations and machine learning

(2020) Gideon A. Lyngdoh et al.   Scientific Reports

Multi-level diffusion model for manufactured sand mortar considering particle shape and limestone powder effects

(2019) Qiang Ren et al.   CONSTRUCTION AND BUILDING MATERIALS

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

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

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

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

Can the compressive strength of concrete be estimated from knowledge of the mixture proportions?: New insights from statistical analysis and machine learning methods

(2018) Benjamin A. Young et al.   CEMENT AND CONCRETE RESEARCH

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

(2018) Scott M. Lundberg et al.   Nature Biomedical Engineering

Cements in the 21st century: Challenges, perspectives, and opportunities

(2017) Joseph J. Biernacki et al.   JOURNAL OF THE AMERICAN CERAMIC SOCIETY

Experimental study on long-term compressive strength of concrete with manufactured sand

(2016) Xinxin Ding et al.   CONSTRUCTION AND BUILDING MATERIALS

Direct Carbonation of Ca(OH)2 Using Liquid and Supercritical CO2: Implications for Carbon-Neutral Cementation

(2015) Kirk Vance et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Assessment of concrete compressive strength prediction models

(2015) Fayez Moutassem et al.   KSCE Journal of Civil Engineering

Grand Challenges in Structural Materials

(2015) John L. Provis   Frontiers in Materials

Effect of partial and total replacement of siliceous river sand with limestone crushed sand on the durability of mortars exposed to chemical solutions

(2013) M. Bederina et al.   CONSTRUCTION AND BUILDING MATERIALS

Properties of self-compacting mortar made with various types of sand

(2012) Benchaa Benabed et al.   CEMENT & CONCRETE COMPOSITES

Embodied carbon dioxide in concrete: Variation with common mix design parameters

(2012) Phil Purnell et al.   CEMENT AND CONCRETE RESEARCH

Influence of porosity on compressive and tensile strength of cement mortar

(2012) Xudong Chen et al.   CONSTRUCTION AND BUILDING MATERIALS

Influence of aggregates grading and water/cement ratio in workability and hardened properties of mortars

(2011) Vladimir G. Haach et al.   CONSTRUCTION AND BUILDING MATERIALS

Influence of manufactured sand characteristics on strength and abrasion resistance of pavement cement concrete

(2011) Beixing Li et al.   CONSTRUCTION AND BUILDING MATERIALS

A comparison of model selection methods for compressive strength prediction of high-performance concrete using neural networks

(2010) Marek Słoński   COMPUTERS & STRUCTURES

Rheological and mechanical properties of mortars prepared with natural and manufactured sands

(2008) D.D. Cortes et al.   CEMENT AND CONCRETE RESEARCH

Strength and durability of concrete incorporating crushed limestone sand

(2008) B. Menadi et al.   CONSTRUCTION AND BUILDING MATERIALS