Engineering properties of concrete with waste recycled plastic: A review

AJ Babafemi, B Šavija, SC Paul, V Anggraini - Sustainability, 2018 - mdpi.com
The abundance of waste plastic is a major issue for the sustainability of the environment as
plastic pollutes rivers, land, and oceans. However, the versatile behavior of plastic (it is …

Research progress in advanced nanomechanical characterization of cement-based materials

Z Luo, W Li, K Wang, SP Shah - Cement and Concrete Composites, 2018 - Elsevier
Advanced characterization techniques have provided powerful tools for characterizations of
materials at micro-and nano-scales worldwide. Although some overviews on …

[HTML][HTML] Size effect on compressive strength of foamed concrete: experimental and numerical studies

N Jiang, Z Ge, Z Wang, T Gao, H Zhang, Y Ling… - Materials & Design, 2024 - Elsevier
This study investigates the size effect on the compressive strength of foamed concrete at the
mesoscale level combining X-ray computed tomography (X-CT) and a discrete lattice model …

Effect of printing parameters on interlayer bond strength of 3D printed limestone-calcined clay-based cementitious materials: An experimental and numerical study

Y Chen, K Jansen, H Zhang, CR Rodriguez… - … and Building Materials, 2020 - Elsevier
For a single batch material, time intervals and nozzle standoff distances between two
subsequent layers are two critical printing parameters that influence the mechanical …

Numerical study on microscale and macroscale strength behaviors of hardening cemented paste backfill

B Yan, H Jia, E Yilmaz, X Lai, P Shan, C Hou - Construction and Building …, 2022 - Elsevier
Computer aided optimization of cement-based materials proportion can accurately quantify
the accompanying microstructure evolution, material composition, and the mechanical …

Machine learning-based accelerated property prediction of two-phase materials using microstructural descriptors and finite element analysis

E Ford, K Maneparambil, S Rajan… - Computational Materials …, 2021 - Elsevier
This study explores the use of supervised machine learning (ML) to predict the mechanical
properties of a family of two-phase materials using their microstructural images. Random two …

[HTML][HTML] Mesoscale model and X-ray computed micro-tomographic imaging of damage progression in ultra-high-performance concrete

MA Homel, J Iyer, SJ Semnani, EB Herbold - Cement and Concrete …, 2022 - Elsevier
Predicting the mechanical performance of concrete from composition and processing
remains a grand challenge. Our work focuses on predicting damage evolution in ultrahigh …

[HTML][HTML] Numerical simulation of elastic buckling in 3D concrete printing using the lattice model with geometric nonlinearity

Z Chang, H Zhang, M Liang, E Schlangen… - Automation in …, 2022 - Elsevier
This paper explores buildability quantification of randomly meshed 3D printed concrete
objects by considering structural failure by elastic buckling. The newly proposed model …

[HTML][HTML] Prediction of the autogenous shrinkage and microcracking of alkali-activated slag and fly ash concrete

Z Li, T Lu, Y Chen, B Wu, G Ye - Cement and Concrete Composites, 2021 - Elsevier
This study aims to predict the autogenous shrinkage of alkali-activated concrete (AAC)
based on slag and fly ash. A variety of analytical and numerical models are available for the …

A robust peridynamic computational framework for predicting mechanical properties of porous quasi-brittle materials

X Gu, X Li, X **a, E Madenci, Q Zhang - Composite Structures, 2023 - Elsevier
Prediction of the macroscopic mechanical properties and damage evolution of cement paste
is significant; however, it poses challenges due to the complex multiphase heterogeneity …