The interface between self-compacting concrete (SCC) and rock has significant effects on the strength, damage, and crack growth of rock-filled concrete (RFC). In this paper, the strength, failure characteristics, and damage mechanism of SCC-rock composite specimens with different interface inclination angles under uniaxial compression are studied by physical tests and numerical simulations. The 3D finite element solver is developed by using CPU-GPU heterogeneous computing, which greatly improves computing efficiency and can be applied to large-scale mesh model calculation with tens of millions of degrees of freedom. The GPU-accelerated solver and the Realistic Failure Process Analysis (RFPA) theory are utilized to simulate the uniaxial compression of 3D mesoscopic stochastic mechanical models of three-phase SCC-rock composite specimens at different interface inclination angles. The results show that the compressive strength, peak strain, and accumulated acoustic emission (AE) energy of the composites decrease first and then increase with the increase of interface inclination angle, and the composites with different interface inclination angles show different failure characteristics. The progressive failure process of the composite specimen and its mechanical behavior are reproduced by numerical simulation. The research results provide an important reference for RFC engineering design and research.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11880320 | PMC |
| http://dx.doi.org/10.1038/s41598-025-92443-5 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Deformation and energy damage characteristics of granite-concrete composite under uniaxial compression.
PLoS One
March 2025
School of Civil Engineering, Shandong Jianzhu University, Jinan, 250101, Shandong, China.
To investigate the influence of the fractured rock-concrete interface on the mechanical response of the rock mass and engineering, the mechanical properties and energy evolution of granite-concrete composite specimens with 16 different fracture inclinations were examined through uniaxial compression particle flow simulation. The results show that when the relative area is constant, the larger the fracture dip angle is, the compressive strength of the composite body presents a similar "peak" type change; the dip angle appears to have the maximum value at 60 o and 90o and the minimum value at 0 o and 30 o, while the peak elastic modulus presents a "waterfall" type change, and the maximum value appears at 90o. The crack types were classified as shear cracks, tensile cracks, secondary shear cracks, secondary tensile cracks, shear-dominated mixed cracks, and tension-dominated mixed cracks.
View Article and Find Full Text PDFSensing ceramides by CYSLTR2 and P2RY6 to aggravate atherosclerosis.
Nature
March 2025
Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, P. R. China.
Recent evidence shows elevated circulating long-chain ceramide levels predict atherosclerotic cardiovascular disease (ASCVD) independently of cholesterol. Although targeting ceramide signaling may provide therapeutic benefits beyond the treatment of hypercholesterolemia, the underlying mechanism by which circulating ceramides aggravate ASCVD remains elusive. We examined whether circulating long-chain ceramides activate membrane G protein-coupled receptors (GPCRs) to exacerbate atherosclerosis.
View Article and Find Full Text PDFResearch on damage characterization of SCC and rock composite specimens based on CPU and GPU heterogeneous code acceleration.
Sci Rep
March 2025
College of Civil Engineering, Guizhou University, Guiyang, 550025, China.
The interface between self-compacting concrete (SCC) and rock has significant effects on the strength, damage, and crack growth of rock-filled concrete (RFC). In this paper, the strength, failure characteristics, and damage mechanism of SCC-rock composite specimens with different interface inclination angles under uniaxial compression are studied by physical tests and numerical simulations. The 3D finite element solver is developed by using CPU-GPU heterogeneous computing, which greatly improves computing efficiency and can be applied to large-scale mesh model calculation with tens of millions of degrees of freedom.
View Article and Find Full Text PDFBoosting selective CO reduction via strong spin-spin coupling on dual-atom spin-catalysts.
J Colloid Interface Sci
February 2025
State Key Lab of Urban Water Resource and Environment, School of Science, Harbin Institute of Technology, Shenzhen 518055, China; School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, China. Electronic address:
Achieving high selectivity in electrochemical conversion of carbon dioxide (CO) into valuable products remains a significant challenge. This study investigates the influence of spin states on dual-atom catalysts within two-dimensional metal-organic frameworks (2D-MOFs) and zero-dimensional molecular metal complexes (0D-MMCs), emphasizing their role in the selective electrocatalytic reduction of CO. Utilizing first-principles calculations, we systematically evaluate dual-atom spin-catalysts (DASCs) TMS(NH)(CH) 0D-MMC and TMS(NH)C 2D-MOF for CO reduction reactions (CORR) across various spin states: antiferromagnetic (AFM), ferromagnetic (FM), and non-magnetic (NM).
View Article and Find Full Text PDFGecko-Inspired Intelligent Adhesive Structures for Rough Surfaces.
Research (Wash D C)
February 2025
State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China.
Biomimetic dry adhesive structures, inspired by geckos' climbing abilities, have attracted research attention in recent years. However, achieving superior adhesion on a rough surface remains an important challenge, which limits practical applications. Conventional bionic adhesion methods perform well on smooth surfaces, but adhesion strength drastically decreases on rough surfaces due to the reduced contact area.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!