Compressive strength prediction of hydrothermally solidified clay with different machine learning techniques

Implementation of multi-expression programming (MEP), artificial neural network (ANN), and M5P-tree to forecast the compression strength cement-based mortar modified by calcium hydroxide at different mix proportions and curing ages

(2022) Aso Abdalla et al.   Innovative Infrastructure Solutions

Theoretical models to evaluate the effect of SiO2 and CaO contents on the long-term compressive strength of cement mortar modified with cement kiln dust (CKD)

(2022) Aso A. Abdalla et al.   Archives of Civil and Mechanical Engineering

Hydrothermal solidification of alkali-activated clay-slaked lime mixtures

(2022) Minguo Lin et al.   CONSTRUCTION AND BUILDING MATERIALS

Preparation of hydrothermally solidified materials from waste cathode ray tube panel glass for construction applications

(2022) Jing Zhang et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Stabilization of heavy metals in municipal solid waste incineration fly ash via hydrothermal treatment with coal fly ash

(2022) Zhikun Zhang et al.   WASTE MANAGEMENT

Application of Machine Learning Approaches to Predict the Strength Property of Geopolymer Concrete

(2022) Rongchuan Cao et al.   Materials

Compressive Strength Estimation of Geopolymer Composites through Novel Computational Approaches

(2022) Muhammad Nasir Amin et al.   Polymers

Application of machine learning algorithm to assess the efficacy of varying industrial wastes and curing methods on strength development of geopolymer concrete

(2022) Ayana Ghosh et al.   CONSTRUCTION AND BUILDING MATERIALS

Multivariable models including artificial neural network and M5P-tree to forecast the stress at the failure of alkali-activated concrete at ambient curing condition and various mixture proportions

(2022) Hemn Unis Ahmed et al.   NEURAL COMPUTING & APPLICATIONS

Alkali-reinforced hydrothermal solidification of waste soil

(2022) Geng Chen et al.   MATERIALS CHEMISTRY AND PHYSICS

Support vector regression (SVR) and grey wolf optimization (GWO) to predict the compressive strength of GGBFS-based geopolymer concrete

(2022) Hemn Unis Ahmed et al.   NEURAL COMPUTING & APPLICATIONS

Coupled microwave hydrothermal dechlorination and geopolymer preparation for the solidification/stabilization of heavy metals and chlorine in municipal solid waste incineration fly ash

(2022) Weichen Yang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Experimental Study on Lime-Treated Waste Soil Based on Water Transfer Mechanism

(2021) Fanlu Min et al.   KSCE Journal of Civil Engineering

Detoxification, solidification and recycling of municipal solid waste incineration fly ash: A review

(2021) Yang Xue et al.   CHEMICAL ENGINEERING JOURNAL

Coupling machine learning with thermodynamic modelling to develop a composition-property model for alkali-activated materials

(2021) Xinyuan Ke et al.   COMPOSITES PART B-ENGINEERING

Constituent effect on mechanical performance of crushed demolished construction waste/silt mixture

(2021) Yongfeng Deng et al.   CONSTRUCTION AND BUILDING MATERIALS

Evaluation of tensile strength degradation of GFRP rebars in harsh alkaline conditions using non-linear genetic-based models

(2021) Mudassir Iqbal et al.   MATERIALS AND STRUCTURES

Computational AI prediction models for residual tensile strength of GFRP bars aged in the alkaline concrete environment

(2021) Mudassir Iqbal et al.   OCEAN ENGINEERING

Predicting the geopolymerization process of fly ash-based geopolymer using deep long short-term memory and machine learning

(2021) Harun Tanyildizi   CEMENT & CONCRETE COMPOSITES

Analyzing the mechanical performance of fly ash-based geopolymer concrete with different machine learning techniques

(2021) Yiming Peng et al.   CONSTRUCTION AND BUILDING MATERIALS

Optimized Support Vector Machines Combined with Evolutionary Random Forest for Prediction of Back-Break Caused by Blasting Operation

(2021) Qun Yu et al.   Sustainability

Machine-learning-based damage identification methods with features derived from moving principal component analysis

(2020) Ge Zhang et al.   MECHANICS OF ADVANCED MATERIALS AND STRUCTURES

Analyzing the compressive strength of green fly ash based geopolymer concrete using experiment and machine learning approaches

(2020) Khoa Tan Nguyen et al.   CONSTRUCTION AND BUILDING MATERIALS

Multi-objective optimization of concrete mixture proportions using machine learning and metaheuristic algorithms

(2020) Junfei Zhang et al.   CONSTRUCTION AND BUILDING MATERIALS

A novel humidity regulating material hydrothermally synthetized from concrete waste

(2020) Jiajun Miao et al.   Journal of Material Cycles and Waste Management

Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete

(2020) Fahid Aslam et al.   Advances in Civil Engineering

Compressive strength prediction of high-performance concrete using gradient tree boosting machine

(2020) Mosbeh R. Kaloop et al.   CONSTRUCTION AND BUILDING MATERIALS

Efficient machine learning models for prediction of concrete strengths

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

Proposal of demolished concrete recycling system based on performance evaluation of inorganic building materials manufactured from waste concrete powder

(2020) Dayoung Oh et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

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

Nonparametric Regression via Variance-Adjusted Gradient Boosting Gaussian Process Regression

(2019) Hsin-Min Lu et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A weighted heteroscedastic Gaussian Process Modelling via particle swarm optimization

(2018) Xiaodan Hong et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Hydrothermal synthesis of calcium sulfoaluminate–belite cement from industrial waste materials

(2016) A. Rungchet et al.   JOURNAL OF CLEANER PRODUCTION

Production of bricks from waste materials – A review

(2013) Lianyang Zhang   CONSTRUCTION AND BUILDING MATERIALS

Stability, hardening and porosity evolution during hydrothermal solidification of sepiolite clay

(2012) Lei Zhou et al.   APPLIED CLAY SCIENCE

Utilization of calcite and waste glass for preparing construction materials with a low environmental load

(2011) Hirotaka Maeda et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Hydrothermal solidification of municipal solid waste incineration bottom ash with slag addition

(2010) Zhenzi Jing et al.   WASTE MANAGEMENT

Potential utilization of riverbed sediments by hydrothermal solidification and its hardening mechanism

(2008) Zhenzi Jing et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Study on the characteristics of building bricks produced from reservoir sediment

(2008) Kung-Yuh Chiang et al.   JOURNAL OF HAZARDOUS MATERIALS