Advanced Materials Research
ISSN / EISSN : 1022-6680 / 1662-8985
Published by: Trans Tech Publications, Ltd. (10.4028)
Total articles ≅ 142,195
Latest articles in this journal
Advanced Materials Research, Volume 1166, pp 113-123; https://doi.org/10.4028/www.scientific.net/amr.1166.113
This paper is a short review of green concrete as claimed per latest related available literature. Green concrete refers to concrete mixture with lower carbon footprint, during its total life cycle, as compared to ordinary concrete mixture. This may be due to its composition of one or more green component (s) such as silica fume or fly ash, or to its capacity, as a building material, to reduce one or more pollutant (s) and/or to any other sustainable concrete procedure such as reduced raw materials depletion. A leading Italian concrete production group claims the provision of a new air scrubbing green concrete combining all of the above techniques. The claimed air scrubbing is based on a photocatalytic principle whereby natural or artificial light activates an oxidation process converting noxious pollutants into harmless compounds. Green concrete promotes sustainability in a creative way; thus, improving global human health.
Advanced Materials Research, Volume 1166, pp 13-24; https://doi.org/10.4028/www.scientific.net/amr.1166.13
Carbon Fiber Reinforced Polymer (CFRP) is an anisotropic material with outstanding tensile strength in the direction of axial but low compressive strength in the direction of radial, so the radial compressive failure and sliding failure are easy to occur in the practical application of compression and hanging wires. In this paper, the influence of different parameters on radial compressive failure and sliding failure is studied. The finite element method is used to simulate and analyze the CFRP and wedge clamp to find optimum condition parameters to make the CFRP neither sliding failure nor radial compressive failure. The parameters are as follows: interference between the CFRP and the inner wedge, friction coefficient between the CFRP and the inner wedge, angle of the wedge, inner wedge material elastic modulus. The results show that the most appropriate parameter is: the interference between 0.0236mm and 0.0252mm, the friction coefficient between 0.194 and 0.206, the wedge angle is greater than 1.75° and the elastic modulus of wedge material has little influence on the compressive failure and slippage failure of the CFRP.
Advanced Materials Research, Volume 1166, pp 81-94; https://doi.org/10.4028/www.scientific.net/amr.1166.81
Demolish existing structures for better economic gains, functional and structural performance, and non-availability of land or disposal sites in nearby areas of all major cities worldwide turned as a significant reason for the crushing demolished concrete instead of using it as landfill. Research work aimed at arriving Recycled Concrete (RC) with the help of two materials, i.e. Steel Fibers (SF) and Styrene-Butadiene Rubber (SBR) latex, as additives to improve strength parameters of it. SF and SBR added in RC to examine & strengthen and termed as Steel Fiber Reinforced Polymer Modified Recycled Aggregate Concrete (SFRPMRAC). For this purpose, 198 cubes each of M20 (trial-1) and M25 (trial-2) cast separately to check compressive strength and its stress-strain behaviour for Natural Concrete (NC), RC & SFRPMRAC. The volume fractions of SF added 0.5%, 1% & 1.5% m3 of concrete and dosages of SBR latex varied from 2.5%, 5% and 7.5% by cement weight for preparation of cubes made of RC. From experimental results, SFRPMRAC with SF volume fraction of 1% m3 of concrete and 5% by cement weight provides an improvement in compressive strength by 8.62 % & 10.73 % for trial -1 and 11.51 % & 12.57 % for trial - 2 at 28 & 90 days when compared with NC. Compression stress-strain behaviour for SFRPMRAC with SF 1% m3 of concrete and 5% by weight of cement shows higher strain values at the peak stress. SFRPMRAC arrests the sudden drop of load due to co-matrix bond formation between SF and SBR in a linear direction compared to a similar NC & RC mix for both trials. It reflects significant improvement and approval of compressive strength for the desired purpose.
Advanced Materials Research, Volume 1166, pp 65-79; https://doi.org/10.4028/www.scientific.net/amr.1166.65
This work aims to study the prediction of bearing capacity of prestressed concrete beams subjected to accelerated corrosion process using Machine Learning (ML) techniques. After data collection, the results were used to model the behavior of flexural stress, and predict their final load capacity, considering position, length, and width of the cracks generated by corrosion as well as loss of bearing capacity. The study presents an analysis of 363 days old beams damaged by corrosion, connected to a galvanostat for 62, and 121 days to make faster the process. Six beams were analyzed; five of them were used to train the model, the other works as a basis to compare the results thrown by the model with the real data. After the treat, the results showed that Bagged Trees Model fits better to real data, it was seen that removing atypical data improves the correlation of predicted and real data. The actual data were compared with two different prediction analyzes; for the first one, the atypical data were not removed; in the second one, the atypical data were eliminated with a statistical analysis. Obtaining relative error percentages of 15.18%, 14.59%, presenting two predictions: final load of 1444 kg and 1126 kg. Which means a resistant moment of 650 T-m, and 506.7 T-m respectively, taking as a prediction the second value in the safe side.
Advanced Materials Research, Volume 1166, pp 33-40; https://doi.org/10.4028/www.scientific.net/amr.1166.33
Focusing 3-axis diffractometer set-up equipped with bent perfect crystal (BPC) monochromator and analyzer offers the sensitivity in determination of strains Dd/d < 10-4 in polycrystalline materials which is about one order of magnitude higher with respect to that of conventional 2-axis neutron scanners. It also offers possibility of line profile analysis for reasonable sample volumes and counting times. In this paper, the feasibility of using the 3-axis set-up even for measurements of rather large bulk polycrystalline samples with an acceptable resolution is presented. As the 3-axis set-up exploits focusing in real and momentum space, by a proper adjustment of the curvature of the analyzer, a high-resolution determination of the lattice changes can also be achieved even on large irradiated gauge volumes, though with a slightly relaxed resolution. It can be successfully exploited namely, in the strain/stress measurements on samples exposed to an external load, e.g. in tension/compression rig, in aging machine etc. In addition to the original performance where the analysis is carried out by rocking the BPC analyzer and the neutron signal registered by a point detector, a new alternative is offered which uses a fixed rocking angle position of the analyzer and the detector signal is registered by a one-dimensional position sensitive detector (PSD). This trick makes possible in some cases the elastic strain/stress measurements considerably faster and thus reduces the drawback of the time consuming step-by-step analysis.
Advanced Materials Research, Volume 1166, pp 41-55; https://doi.org/10.4028/www.scientific.net/amr.1166.41
The sudden emergence of novel coronavirus CoVID-19 in China during the end of last year and its outburst all around the globe thereafter have raised serious questions about their instant management and diagnostic measures as it is infecting humans around in an exponential manner. The implementation of nanotechnology could perhaps ingenerate the rising distress due to the spread of the disease as the conventional antiviral drugs just control the symptoms. Nanoparticles drug delivery systems are engineered technologies that use nanoparticles for targeted drug delivery and controlled release of therapeutic agents. Nanoparticles based approach can replace the treatment with a more promising one that could meet these challenges. Understanding molecular pathogenesis of CoVID-19 infection is very important to exploit the nanoparticles to fight against it. A lot of nanostructures have been developed with antiviral and antibacterial properties for a variety of drug delivery and biomedical applications. The need of the hour is to exploit nano research to develop effective diagnostics tools, drugs, vaccines to treat and prohibit infection. In this paper an attempt has been made to understand the role and potential of various nanoparticles to inhibit CoVID-19 infection and its toxicity effects.
Advanced Materials Research, Volume 1166, pp 57-64; https://doi.org/10.4028/www.scientific.net/amr.1166.57
The impact resistance improvement is important for window glass to protect people from injury. Although it has been proved that the impact resistance of a glass plate can be improved easily by fitting a thin polymeric film, its mechanism has not been clarified yet. The purpose of this study is to clarify the reinforcing mechanism of the impact resistance of a glass plate by fitting a polymeric film. To clarify it, a numerical simulation model was built using ANSYS Autodyn to simulate the dynamic fracture of a glass plate fitted with a polymeric film. The simulation model and results were examined by comparing them to the experimental result in the previous study. The Johnson-Holmquist (JH2) damage model was used for the constitutive law of the glass plate. A polymeric film with 0.2 mm thickness (3% with the glass plate) was modeled at the non-impact surface of the glass plate. The nodes of the glass plate at the interface with the film connected the nodes of the film by perfect bonding. By comparing the simulation results to the experiment, it was indicated the importance of modeling the remaining fragments of the glass plate and the adhesive layer of the film in simulating the dynamic fracture of the glass plate fitted with polymeric film.
Advanced Materials Research, Volume 1165, pp 39-46; https://doi.org/10.4028/www.scientific.net/amr.1165.39
The key focus of this work was to examine the effect of hybrid fiber reinforcement on thethermal properties of particulate based natural fiber-reinforced hybrid composites. Banana and sisal fiberswere selected as natural fiber reinforcements for the polyester matrix based composites, which wereproduced by mechanical stir mix technique. Thermo-Gravimetric Analysis (TGA) and Fourier-TransformInfrared Spectroscopy (FTIS) were conducted in accordance with American Society for Testing andMaterials (ASTM) standards for the characterization of the hybrid composites. The FTIS result shows thedisappearance of 1735 cm-1 peak, a notable evidence of NaOH treatment. The thermal analysis showedthat the hybridization significantly affected the high temperature stability of the composite, with 70%Sisal/30%Banana found to have the lowest high temperature mass loss at a temperature of 300–520oC, thushighest high temperature stability. Derivative Thermogravimetry (DTG) results shows a minor mass lossrate at a temperature range of 50–150oC as well as a major mass loss rate due to pyrolysis of key fiberconstituents such as cellulose, hemicellulose and lignin between 260 and 350oC. Also it was observed thatas the percentage of banana in the hybrid fiber increases the speed of high temperature mass loss reduces.
Advanced Materials Research, Volume 1165, pp 31-38; https://doi.org/10.4028/www.scientific.net/amr.1165.31
Thermosetting systems based on epoxy resin (RE) with the dispersion of carbon nanotubes (CNT), have been extensively studied by the development of high-performance materials with interesting mechanical, thermal and electrical properties that the thermo-rigid system achieves with the addition of CNT, and thus contribute to obtain composites with excellent performance in low amounts of this filler. However, ensuring a good dispersion of these systems is not easy, as CNTs have a great tendency to cluster due to Van der Waals interactions. To assist in the dispersion of the systems, a phosphonium-based ionic liquid, tributyl (ethyl) -phosphonium diethyl phosphate, acted with a double role, as a dispersion agent and catalyst in systems hardened with MCDEA (4,4’-methylenebis (3 - chloro-2,6-diethylaniline), which is a solid compound giving the systems high viscosity, and with the addition of LI improved the dispersion of the systems, as well as the processability in the preparation of the nanocomposites.
Advanced Materials Research, Volume 1165, pp 87-97; https://doi.org/10.4028/www.scientific.net/amr.1165.87
The present work investigate the microwave absorption properties of reduced graphene oxide (RGO)-Silicon carbide (SiC)-Linear low-density polyethylene (LLDPE) composites prepared in different concentration of fillers(10, 20, 30, 40 wt. %) with LLDPE matrix. Synthesis of RGO is confirmed from XRD analysis and SiC is used as received from supplier. Complex permittivity of the composites is measured using Nicolson Ross method showing an increasing trend with increasing filler concentrations with maximum and for 40 wt. % composite sample. Based on transmission line theory and using measured value of complex permittivity, conductor backed single and double layer absorber is designed by thickness optimization. The calculated reflection loss (RLc) value of ~-71 dB at 11.23 GHz is observed for 40 wt. % composite sample of 7 mm thickness with -10 dB absorption bandwidth of 1.48 GHz and -20 dB bandwidth of 0.64 GHz.