The current research demonstrates the application of artificial neural network (ANN) in
predicting the fracture under mixed-mode I/II loadings. To this end, based on the analysis of …

To improve the resource level of agricultural and forestry waste straws and fallen leaves,
straw and fallen leaves fibres were used as organic thermal insulation components (TICs) …

This study investigated the single and hybrid effects of nanosilica and basalt fiber on
mechanical properties and durability of mortar. Results showed that basalt fiber could …

In this research, a new type of flexible cushioning material was fabricated from silicone
rubber reinforced with different lengths and contents of flax short fibres and warp-knitted …

Prediction on the crack propagation process of brittle rock under Thermo-Hydro-Mechanical
(THM) loading conditions is very important for crack-arrest design and disaster prevention in …

Most semi-circular bend (SCB) tests on concrete have been conducted with a pre-crack with
a straight-through tip, thereby undermining the determination of the tensile fracture …

The purpose of this study is to create a useful and easy-to-understand machine learning-
based model for predicting mixed-mode I/II fracture load. To this end, a database composed …

In order to improve the performance of concrete, this paper proposes a modeling method for
the influence of the amount of cementing material in fly ash mortar doped with nano-SiO2 on …

The kinetic behavior of SiO 2 dissolving in molten steel slag at 1773–1923 K was studied
using a combination of high-temperature confocal scanning laser microscopy and a …

In order to improve the performance of concrete, this paper proposes a modeling method for
the influence of the amount of cementing material in fly ash mortar doped with nano-SiO 2 …