Scalable Room‐Temperature Terahertz Graphene Cameras
ABSTRACT Terahertz (THz) imaging has emerged as a powerful tool for non‐destructive, label‐free analysis across several scientific disciplines, ranging from materials science to biomedical research. By capturing the spatial‐dependent information in a broad range of frequencies, this technique enables the identification of chemical composition ...
Lili Shi +2 more
wiley +1 more source
Comparative evaluation of machine learning and deep learning approaches for compressive strength prediction of geopolymer concrete. [PDF]
Ezz H, Bakr SM.
europepmc +1 more source
Mechanical and Physical Properties of NaOH-Treated Rubberized Concrete Blocks. [PDF]
Pulgar VP +5 more
europepmc +1 more source
Research on pore characteristics and macroscopic performance quantitative prediction of desert sand recycled aggregate concrete based on NMR and grey theory. [PDF]
Zheng X +7 more
europepmc +1 more source
Development of eco-friendly HPC using advanced hybrid multi-scale basalt fibers and ground mining materials. [PDF]
Daghash MA +3 more
europepmc +1 more source
Multi-Scale Investigation of Carbonation Evolution and Microstructural Changes in Concrete Containing Fly Ash and Silica Fume. [PDF]
Zhan J +7 more
europepmc +1 more source
Cementitious Composites with Hybrid UHMWPE and CF/PP Fiber: A Study on Compressive, Tensile, Flexural and Impact Performance. [PDF]
Yang L, Yang Z, Xing X.
europepmc +1 more source
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Anisotropic Concrete Compressive Strength
IABSE Reports, 2017<p>When the load carrying capacity of existing concrete structures is (re-)assessed it is often based on compressive strength of cores drilled out from the structure. Existing studies show that the core compressive strength is anisotropic; i.e.
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AbstractThe results of axial compression tests on masonry prisms can be the basis for determining the design capacity of masonry elements since several building codes permit the compressive strengt...
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Compressive strength model for concrete
Magazine of Concrete Research, 2013A predictive compressive strength model accounting for the type of cement, cement degree of hydration, aggregates type and gradation, mixtures proportion and air content was developed. This paper presents the formulation, implementation, calibration and validation of the proposed strength model for normal concrete.
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