Rui Yang^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.010698

Abstract This study employs molecular dynamics (MD) simulations to comparatively investigate the mechanical enhancement mechanisms of glass fiber-reinforced concrete (GFRC) and basalt fiber-reinforced concrete (BFRC). Amorphous models of glass fiber (GF) and basalt fiber (BF), along with calcium silicate hydrate (C-S-H), were constructed using the ClayFF force field in LAMMPS. The interfacial transition zone (ITZ), atomic bonding characteristics, stress distribution, and tensile failure processes were systematically analyzed. Key findings reveal that BF exhibits a denser atomic network structure with higher coordination numbers, driven by the bridging role of Fe and Mg atoms. BFRC demonstrates significantly stronger More >

Qi Feng^1,2, Weijie Hu¹, Lu Liu^3,*, Junhui Luo⁴

Structural Durability & Health Monitoring, Vol.19, No.6, pp. 1589-1605, 2025, DOI:10.32604/sdhm.2025.072955 - 17 November 2025

Abstract Ultra-high performance fiber-reinforced concrete (UHPFRC) has received extensive attention from scholars and engineers due to its excellent mechanical properties and durability. However, there is a mutually restrictive relationship between the workability and mechanical properties of UHPFRC. Specifically, the addition of fibers will affect the workability of fresh UHPFRC, and the workability of fresh UHPFRC will also affect the dispersion and arrangement of fibers, thus significantly influencing the mechanical properties of hardened UHPFRC. This paper first analyzes the research status of UHPFRC and the relationship between its workability and mechanical properties. Subsequently, it outlines the test… More >

Ala’a R. Al-Shamasneh¹, Faten Khalid Karim², Arsalan Mahmoodzadeh^3,*, Abdulaziz Alghamdi⁴, Abdullah Alqahtani⁵, Shtwai Alsubai⁵, Abed Alanazi⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 1573-1606, 2025, DOI:10.32604/cmes.2025.068887 - 31 August 2025

Abstract The fracture energy of fiber-reinforced concrete (FRC) affects the durability and structural performance of concrete elements. Advancements in experimental studies have yet to overcome the challenges of estimating fracture energy, as the process remains time-intensive and costly. Therefore, machine learning techniques have emerged as powerful alternatives. This study aims to investigate the performance of machine learning techniques to predict the fracture energy of FRC. For this purpose, 500 data points, including 8 input parameters that affect the fracture energy of FRC, are collected from three-point bending tests and employed to train and evaluate the machine… More >

Zhuang Chen¹, Xihua Chu^1,2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.127, No.1, pp. 241-272, 2021, DOI:10.32604/cmes.2021.015120 - 30 March 2021

Abstract In this study, a peridynamic fiber-reinforced concrete model is developed based on the bond-based peridynamic model with rotation effect (BBPDR). The fibers are modelled by a semi-discrete method and distributed with random locations and angles in the concrete specimen, since the fiber content is low, and its scale is smaller than the concrete matrix. The interactions between fibers and concrete matrix are investigated by the improvement of the bond’s strength and stiffness. Also, the frictional effect between the fibers and the concrete matrix is considered, which is divided into static friction and slip friction. To More >