Recently the route connecting the Trans-Korean railway and the Trans-Siberian railway becomes of critical interest for many academicians and policy-makers of East Asian countries. So in this study, we'd like to study whether TKR-TSR will be the best way for Korea. To analyze its efficiency, we will compare TKR-TSR with maritime shipment, shipment-railway and hope our conclusion can provide some reference for later study.

All over the world, concrete gravity dams have to withstand lots of environmental hazards and time-varying external loading during an earthquake. Therefore, the risk assessment of this structure with time may become an important study for the dam structure, which is related to the chemo-mechanical effect on the aging concrete. The focusing point of this study is to propose an earthquake assessment procedure to determine the failure probability with time of any concrete gravity dam for the future if we consider the material deterioration. This material decay is mainly associated with the modulus of elasticity of the concrete and it is explained briefly in the manuscript.

The earthquake risk prediction for dam structure has been considered as an important analysis. The dam has to interact with water in its lifetime, which maybe induces the chemo-mechanical phenomenon on the aging concrete and damage the capacity of the structure. The main aim of this research is to suggest a procedure to predict the operant condition of the dam based on Cumulative Absolute Velocity (CAV) values after some decades. CAV is a method ordinarily used in Nuclear Power Plant (NPP) fields, but in case of a concrete gravity dam, it will be the new addition along with the aging effect of concrete material.

An approach is presented for evaluating the vulnerability of electric cabinet in nuclear power plants. The method is based on the lognormal approach, including the maximum likelihood estimation and linear regression to establish the fragility curves. These procedures are applied for a cabinet considering various boundary conditions, which are expressed by restrained and anchored models at the base. The cabinet models have been built and verified by using the system identification technique. The results show that the fragility curves obtained for the anchored model are found to be closer to each other, compared to the fragility curves for the restrained model.

Deterministic seismic analysis of cabinet facility does not reflect the real behavior of the system with the uncertainties of material parameters. This paper investigates the effects of uncertain properties in the context of random field theory for the stochastic dynamic response of cabinet. The influences of different decomposition methods (i.e. Cholesky, Eigen, and modified Cholesky) with various correlation lengths of the spatial material distribution are explored. The responses are compared to the case where no variation is applied in the properties of the model.

Planetary global localization is necessary for long-range rover missions in which communication with command center operator is throttled due to the long distance. There has been number of researches that address this problem by exploiting and matching rover surroundings with global digital elevation maps (DEM). Using conventional methods for matching, however, is challenging due to artifacts in both DEM rendered images, and/or rover 2D images caused by DEM low resolution, rover image illumination variations and small terrain features. In this work, we use train CNN discriminator to match rover 2D image with DEM rendered images using conditional Generative Adversarial Network architecture (cGAN). We then use this discriminator to search an uncertainty bound given by visual odometry (VO) error bound to estimate rover optimal location and orientation. We demonstrate our network capability to learn to translate rover image into DEM simulated image and match them using Devon Island dataset. The experimental results show that our proposed approach achieves ~74% mean average precision.

This study is to evaluate the seismic demand of reinforced concrete structure considering the incident angle of the ground motions. For this purpose, a three-story structure is numerically analyzed under the three ground motion records through a multi-component incremental dynamic analysis (MIDA). The MIDA, an implementation of Incremental dynamic analysis, investigates two components of seismic excitation in which all accelerations are scaled to spectral accelerations at the fundamental natural periods of the buildings. The obtained results indicate the influence of the incident angle should be considered in the assessment response of structures. Maximum inter-story drift of structure will behave in the elastic or inelastic range depending on the variable incident angle