A small dam is of hydraulic structures, which is always exposed to risk by flood, and it’s very important to ensure structural safety. A probabilistic analysis, quantifying variable as a risk factor to ensure safety of small dam, identifying its coefficient of variation, which has become increasingly important. In this study, the risk of seepage failure of foundation within a small dam was estimated based on flood scenarios by rainfall quantile. The final compound risk was evaluated combining probabilities, related to seepage failure and flood level. The seepage failure probability was estimated by performing seepage analysis depending on the water level difference between upstream and downstream in small dam. The probable flood level was estimated by considering hydraulic uncertainty associated with channel geometry, and movable gate operation during the flooding season, applied a probable flood considering hydrologic uncertainty evaluated by Bayesian approach. The safety evaluation of small dam with probabilistic-based compound risk expect to use the index for hydraulic structure design in the future.

A filtration-tapingmethod was demonstrated to fabricate carbon nanotube (CNT) emitters. This method shows many good features, including high mechanical adhesion, good electrical contact, low temperature, organic-free, low cost, large size, and suitability for various CNT materials and substrates. These good features promise an advanced fieldemission performance with a turn-on fieldof 0.88 V/mm at a current density of 0.1 mA/cm2, a threshold fieldof 1.98 V/mm at a current density of 1 mA/cm2, and a good stability of over 20 h. The filtratio-taping technique is an effective way to realize low-cost, large-size, and high-performance CNT emitters.

Recently, the frequency of natural disasters in Korea is increasing due to the influence of global climate change, and the importance of quick and accurate monitoring and corresponding response is frequently and strongly stressed in terms of disaster management. In this regard, this study describes a development of realtime safety evaluation system (RSEE) which enables to carryout real-time measurement and safety evaluation of some important SOC water infrastructures (dams, weirs, cut slopes, retaining walls, levees and bridges) installed along the nation registered large scale rivers.

The Integrated Water Infrastructures Safety Management Platform(WINS+) provides safety information of water infrastructures such as dams, weirs, bridges, cut slopes, retaining walls and levees designated as the first class infrastructures to be maintained according to the nations’s safety law. The WINS+ is incorporated with a computerized Standard Operating Procedure (SOP) system that provides crisis warning level (green/blue/yellow/orange/red) to central and individual disaster response managers of waterside structures. Thus it is expected that by using the WINS+ we may strengthen disaster responsiveness and reduce the time for recovery and response at emergency.

It's effective further to use an easy modeling to reduce an numerical analysis cost. There are three kinds for the way to model a RC(Reinforced Concrete) pier by a FE(Finite Element) modeling, using a Solid element, Plane stress element and Beam element. Pushover analysis was executed to three kinds of modeling and a model was improved to raise the validity to the modeling.

This study employed a Bayesian Markov Chain Monte Carlo based HEC-1 rainfall-runoff model to generate the plausible flood scenarios. The proposed modeling scheme showed a promising result in terms of estimating a set of model parameters and deriving their uncertainties. In this regard, the proposed model can be applied to various hydrologic applications such as frequency curve derivation, and hydraulic structures risk analysis.

Waterside structures such as dams or levees are essential for flood protection, and flood induced failures of such structures can cause serious damages. Real-time safety prediction can prevent most of the damages to inland or the consequential economic damages induced by flood hazards. This study introduces a method of real-time safety prediction by evaluating the correlation between numerical simulation, real-time measurement, and geo-centrifuge data.

In the past, criteria and procedures for the design of concrete structures were primarily based on allowable stresses for structural components. However, it is now well recognized that the limit state approach is a better basis for design since it is difficult to determine the real safety margin of submerged structure.