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Third millennium engineering address new challenges in materials sciences and engineering. In particular, the advances in materials engineering combined with the advances in data acquisition, processing and mining as well as artificial intelligence allow for new ways of thinking in designing new materials and products. Additionally, this gives rise to new paradigms in bridging raw material data and processing to the induced properties and performance. This present topical issue is a compilation of contributions on novel ideas and concepts, addressing several key challenges using data and artificial intelligence, such as:- proposing new techniques for data generation and data mining;- proposing new techniques for visualizing, classifying, modeling, extracting knowledge, explaining and certifying data and data-driven models;- processing data to create data-driven models from scratch when other models are absent, too complex or too poor for making valuable predictions;- processing data to enhance existing physic-based models to improve the quality of the prediction capabilities and, at the same time, to enable data to be smarter; and- processing data to create data-driven enrichment of existing models when physics-based models exhibit limits within a hybrid paradigm.

plasticity --- machine learning --- constitutive modeling --- manifold learning --- topological data analysis --- GENERIC --- soft living tissues --- hyperelasticity --- computational modeling --- data-driven mechanics --- TDA --- Code2Vect --- nonlinear regression --- effective properties --- microstructures --- model calibration --- sensitivity analysis --- elasto-visco-plasticity --- Gaussian process --- high-throughput experimentation --- additive manufacturing --- Ti–Mn alloys --- spherical indentation --- statistical analysis --- Gaussian process regression --- nanoporous metals --- open-pore foams --- FE-beam model --- data mining --- mechanical properties --- hardness --- principal component analysis --- structure–property relationship --- microcompression --- nanoindentation --- analytical model --- finite element model --- artificial neural networks --- model correction --- feature engineering --- physics based --- data driven --- laser shock peening --- residual stresses --- data-driven --- multiscale --- nonlinear --- stochastics --- neural networks --- n/a --- Ti-Mn alloys --- structure-property relationship

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Concrete is one of the most widely used construction material in the word today. The research in concrete follows the environment impact, economy, population and advanced technology. This special issue presents the recent numerical study for research in concrete. The research topic includes the finite element analysis, digital concrete, reinforcement technique without rebars and 3D printing.

cementitious composite --- nano-SiO2 --- PVA fiber --- durability evaluation --- adaptive neuro-fuzzy inference system --- aggregate type --- specimen shape --- specimen size --- compressive strength --- concrete mechanical properties --- concrete composites --- waste metalised polypropylene fibres --- durability --- sulphate and acid attacks --- palm oil fuel ash --- fiber-reinforced concrete --- blast resistance --- lattice discrete particle model-fiber --- damage mode --- contact detonation --- concrete brick --- FGD gypsum --- construction and demolition waste --- oil palm trunks --- sugarcane bagasse ash --- sensitivity analysis --- gene expression programming --- multiple linear and non-linear regression --- green concrete --- concrete-filled steel tube (CFST) --- axial capacity --- genetic engineering programming (GEP) --- Euler’s buckling load --- GEP-based model --- calcium silicate hydrate --- simulation --- concrete --- corrosion inhibitor --- grand canonical Monte Carlo method --- molecular dynamics --- adsorption --- coupled RBSM and solid FEM model --- PBL shear connector --- shear strength --- lateral pressures --- failure mechanism --- bamboo-reinforced concrete (BRC) --- stiffness prediction --- artificial neural network (ANN) --- radioactive waste --- long-term performance --- degradation --- modeling --- finite element analysis --- mechanical properties --- mechanisms --- diffusion --- material properties --- sodium alginate --- basalt fiber --- temperature --- impact resistance --- pre-packed aggregate fibre-reinforced concrete --- strength --- long-term shrinkage --- microstructure --- waste polypropylene fibres --- cohesion --- angle of shear deformation --- Mohr–Coulomb model --- induced tensile strength --- concrete samples --- Brazilian test --- finite element method (FEM) --- artificial neural networks --- confined concrete --- strength model --- FRP --- strain model --- RMSE --- forta fibers --- synthetic fibers --- hybrid fiber reinforced concrete --- constitutive modeling --- uniaxial test --- slump test --- pore structure --- water absorption --- MIP --- fractal dimension --- pore connectivity --- T-shaped reinforced concrete beams --- CFRP --- numerical analysis --- non-destructive test (NDT) --- elastic wave --- air-entrained rubberized concrete --- stress-strain curve --- concrete failure --- damage of material --- effective modulus of elasticity --- effective stress --- hybrid-fiber-reinforced concrete --- shaft lining --- numerical simulation --- orthogonal test --- ultimate capacity --- n/a --- Euler's buckling load --- Mohr-Coulomb model