Thus far, the effect of the several key factors on SSCF was investigated, including temperature, inoculation size, pre-hydrolysis and pH.
Although NSM strengthening systems has been used extensively, still further experimental, analytical, and numerical research is warranted to understand the effect of the several strengthening parameters on the flexural performance of RC members.
To show the effect of the several parameters on the experimental data, the results are referred to the turbulence intensity of the bridge without any parapet by defining a reduced turbulence intensity.
Also, surface micro-profilometry, nano/micro-indentation hardness testing, scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX), X-ray diffraction (XRD), and glow-discharge optical emission spectroscopy (GDOES) data are presented to corroborate the effect of the several plasma diffusion processes and duplex diffusion/coating combinations discussed here.
The detailed mathematical derivations are presented and numerical investigations are performed while the emphasis is placed on investigating the effect of the several parameters such as small scale effects, different material compositions, mode number and thickness ratio on the normalized natural frequencies of the FG nanobeams in detail.
The detailed mathematical derivations are presented and numerical investigations are performed while the emphasis is placed on investigating the effect of the several parameters such as thermal effect, material distribution profile, small scale effects, mode number and boundary conditions on the normalized natural frequencies of the temperature-dependent FG nanobeams in detail.
In a multivariate framework, we will estimate the effects of the several factors (e.g., home country) on adaptation simultaneously.
The molecular mechanism of periosteum GBR probably resulted from the combined effects of the several factors mentioned earlier.
Our study design helped to reduce the effect of several of the problems described above.
The sensitivity analysis indicates the effect of several changes in the key parameters of the model.
In addition, we investigate the effect of several iterations on the validity of the simulation.
