This paper investigated the interregional correlation changed by sport training through electroencephalography (EEG) signals using the techniques of classification and feature selection. The EEG data are obtained from students with long-time professional sport training and normal students without sport training as baseline. Every channel of the 19-channel EEG signals is considered as a node in the brain network and Pearson Correlation Coefficients are calculated between every two nodes as the new features of EEG signals. Then, the Partial Least Square (PLS) is used to select the top 10 most varied features and Pearson Correlation Coefficients of selected features are compared to show the difference of two groups. Result shows that the classification accuracy of two groups is improved from 88.13% by the method using measurement of EEG overall energy to 97.19% by the method using EEG correlation measurement. Furthermore, the features selected reveal that the most important interregional EEG correlation changed by training is the correlation between left inferior frontal and left middle temporal with a decreased value.

Mortar using seawater and sand was the material studied here. The mortar specimens, in particular, were cured in natural seawater. The foci development in the mortar was the principal interest in this study. The on-line damage detection experiment art, including dynamically global MSHCT (Multi-Slices Helical Computer Tomography) scan and the local detection of EDS (Energy Dispersive Spectrometer), SEM (Scanning Electron Microscopy), and XRD (X-ray Diffraction) was designed to research the foci development in the mortar specimen. The mortar specimens with 70-day age were produced and investigated by the on-line damage detection experiments. The experiment results indicated that the mortar using seawater and sand offered appreciable strength at the early age, at least, although some saline minerals were generated during the preparation. The residual strength of the mortar was above 13 MPa, which helped to prevent the sharp damage of engineering bodies. The micro-interfacial behavior and the parental foci development controlled the damage evolution in the mortar using seawater and sand, the performance of which was still the adjustable one by composition optimization.

This paper concentrates on the simulating methodology for the reliability analyses of the groyne erosion stability with the randomness, including the probabilistic turbulences of the mean value, the variation, and the correlation of the pertinent parameters. On the basis of the interpretation for the mechanism of the groyne erosion, the backslope gradient of the local eroded pit is adopted as the major factor for the establishment of the reliability function. Created for the reliability analyses in this paper is the systematic algorithm that can solve the complicated reliability function of the groyne erosion stability and compute the corresponding failure probability. The reliability function here incorporates the random parameters that are non-Gaussian and statistically correlated. These complicated parameters exist in most coastal engineering cases. The comprehensive sensitivity of the groyne erosion stability is investigated based on the measured data of the random parameters and their designed randomness that includes the designed variation and the designed correlative coefficients. Results show that the probabilistic turbulences of the velocity of the natural main stream flow and the mouth radius of the crateriform shape of the local eroded pit affect significantly the groyne erosion stability; the optimal conformation interval of the assembly average diameter of the particles in the local river bed sediments is 0.62, 0.68 mm, where the value of the failure probability is the minimal one; the statistic correlation between the behaviors of the natural main stream and other random parameters deteriorates certainly the performance of the coastal engineering structures. According to the sensitivity analyses, the suggested values of the random parameters are offered in this paper. The methodology developed here is a generalized approach to the reliability simulation for the pertinent structures of coastal engineering and can be applied directly in the n-dimensional independently standardized Gaussian space. On the basis of the comparison with the Monte Carlo simulation, the methodology developed here shows the super efficiency.

Three-dimensional stochastic simulation was performed to investigate the complexity of the seepage field of an embankment. Three-dimensional anisotropic heterogeneous steady state random seepage finite element model was developed. The material input data were derived from a statistical analysis of strata soil characteristics and geological columns. The Kolmogorov-Smirnov test was used to validate the hypothesis that the Gaussian probability distribution is applicable to the random permeability tensors. A stochastic boundary condition, the random variation of upstream and downstream water level, was taken into account in the three-dimensional finite element modelling. Furthermore, the functions of sheet-pile breakwater and catchwater were also incorporated as turbulent sources. This case, together with the variability of soil permeability, has been analyzed to investigate their influence on the hydraulic potential distributed and the random evolution of stochastic seepage field. Results from stochastic analyses have also been compared against those of deterministic analyses. The insights gained in this study suggest it is necessary, feasible, and practical to employ stochastic studies in seepage field problems. The method provides a more comprehensive stochastic algorithm than conventional ones to characterize and analyze three-dimensional random seepage field problems.

The merit of this study is logically bridging the microfractures and the macrodefects by establishing the nonlinear fuzzy functionals. The rational verification of the probabilistic distribution of the generalized damage that has produced the microfractures was provided in this study. The triaxial computed tomography tests were also implemented for the rock specimens. Consequently, the hybrid uncertain models of the generalized damage were created by the expansion criterion. The definition of the certain damage variable derived from the secant modulus degeneration has been compared with the definition of the generalized damage in this study, by which the effectiveness of the hybrid uncertain models was highlighted. The ultimate status function with the nonlinearity was founded in order to realize the simulation of the generalized reliability of the target engineering case. Based on the numerical approach, the generally updated fields were computed. The discreteness and the correlation of the generally updated fields were analyzed as well. The results show that this study has the confidence for engineering application.

Generalised Reliability On Hydro-Geo Objects