This paper used machine learning to model the prediction of creep and the analysis of
characteristic factors for concrete containing supplementary cementitious materials (SCM) …

The meso‐structure of pervious concrete significantly influences its overall performance.
Accurately identifying the meso‐structure of pervious concrete is imperative for optimizing …

Due to the remarkable influence of aggregate characteristics on the mechanical behaviors of
concrete materials, and in particular the microcracking development, complex aggregates …

The concrete biological shield of light water reactors is exposed to neutron and gamma
irradiation throughout its lifetime, which results in the long-term degradation of the concrete's …

As the nuclear fleet in the United States ages and subsequent license renewal applications
grow, the prediction of concrete durability at extended operation becomes more important …

The need for long-term predictions of the performance of old nuclear power plants concrete
shielding all around the world has recently relaunched the issue of predictive modeling of …

This paper describes the development of a micromechanical-based constitutive model
accounting for the effect of internal expansion on the residual elasticity of a Hashin …

In physical sciences such as chemistry and earth sciences, specifically for characterization
of minerals in a rock, automated, objective mapping methods based on elemental analysis …

Concrete aggregate identified as “meta-chert” was irradiated with gamma-rays and
neutrons. To identify the volume expansion of the aggregate under neutron irradiation, the …

High-speed railways have become a critical component of modern transportation, and
ensuring the stability and durability of high-speed railway concrete under environmental and …