• Journal of Korea Planning Association
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• v.54 no.4
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• pp.122-130
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• 2019

The purpose of this study is to analyze effect of climate and urban factors on energy resilience, and to explore policy alternatives to strengthen resilience of energy system. For this purpose, this study used extensive literature review on resilience studies and multiple regression analysis. In this study, blackout time was set as a dependent variable. And the independent variables were divided into climate and urban (robustness, countermeasure capacity) characteristics. As a result of the analysis, in terms of climate characteristics, maximum wind speed and cooling/heating degree-day have statistically significant impact on blackout time. With regard to urban characteristics, number of consumer, ratio of deteriorated housing and coast dummy variables have statistically significant impact on blackout time. And the ratio of government employees and road ratio were found to be the most influencing factors to shorten time taken to restore original level of electricity supply. Based on the study results, several policy suggestions to improve energy resilience were made such as continuous management of vulnerable areas and strengthening disaster response services. This study only considered engineering dimension of resilience. Further studies need to be approached on ecological & social-ecological dimension.

• Nuclear Engineering and Technology
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• v.51 no.6
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• pp.1540-1553
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• 2019

A nuclear power plant (NPP) is a highly complex system-of-systems as manifested through its internal systems interdependence. The negative impact of such interdependence was demonstrated through the 2011 Fukushima Daiichi nuclear disaster. As such, there is a critical need for new strategies to overcome the limitations of current risk assessment techniques (e.g. the use of static event and fault tree schemes), particularly through simulation of the nonlinear dynamic feedback mechanisms between the different NPP systems/components. As the first and key step towards developing an integrated NPP dynamic probabilistic risk assessment platform that can account for such feedback mechanisms, the current study adopts a system dynamics simulation approach to model the thermal dynamic processes in: the reactor core; the secondary coolant system; and the pressurized water reactor. The reactor core and secondary coolant system parameters used to develop system dynamics models are based on those of the Palo Verde Nuclear Generating Station. These three system dynamics models are subsequently validated, using results from published work, under different system perturbations including the change in reactivity, the steam valve coefficient, the primary coolant flow, and others. Moving forward, the developed system dynamics models can be integrated with other interacting processes within a NPP to form the basis of a dynamic system-level (systemic) risk assessment tool.

• Journal of Korea Water Resources Association
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• v.51 no.11
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• pp.989-998
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• 2018

Connectivity between water source and demand node can be served as a critical system performance indicator of the degree of water distribution network (WDN)' failure severity under abnormal conditions. Graph theory-based approaches have been widely applied to quantify the connectivity due to WDN's graph-like topological feature. However, most previous studies used undirected-unweighted graph theory which is not proper to WDN. In this study, the directed-weighted graph theory was applied for WDN connectivity analyses. We also proposed novel connectivity indicators, Source-to-Node Shortest Pathway (SNSP) and SNSP-Degree (SNSP-D) which is an inverse of the SNSP value, that does not require complicate hydraulic simulation of a WDN of interest. The proposed SNSP-D index was demonstrated in total 42 networks in J City, South Korea in which Pearson Correlation Coefficient (PCC) between the proposed SNSP-D and four other system performance indicators was computed: three resilience indexes and an energy efficiency metric. It was confirmed that a system representative value of the SNSP-D has strong correlation with all resilience and energy efficiency indexes (PCC = 0.87 on average). Especially, PCC was higher than 0.93 with modified resilience index (MRI) and energy efficiency indicator. In addition, a multiple linear regression analysis was performed to identify the system hydraulic characteristic factors that affect the correlation between SNSP-D and other system performance indicators. The proposed SNSP is expected to be served as a useful surrogate measure of resilience and/or energy efficiency indexes in practice.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.159-159
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• 2015

상수관망시스템의 신뢰도를 정량화하기 위한 연구가 최근 활발히 진행되고 있다. 대부분의 연구는 절점의 공급가능수요량, 절점의 수두, 그리고 유량과 수두를 동시에 고려한 에너지(energy)를 이용하여 신뢰도 지수를 개발하였다. 이 중, Energy를 기반으로 하는 신뢰도지수로써 Resilience index(Todini, 2000), Network Resilience index(Prasad, 2004), Modified Resilience index(Jayaram, 2008)와 Entropy Resilience index(Raad, 2010) 등의 연구가 대표적이다. 상수관망시스템에 정상적인 상황을 넘어서는 부담이 가해졌을 때, 이를 완충하거나, 정상적인 용수공급 상황으로 빠르게 회복하는 능력인 복원력(Resilience)을 판단하기 위한 지표로써 제시된 Todini의 Resilience index를 기점으로, 상수관망의 신뢰도(Reliability)을 Energy 측면에서 판단할 수 있는 관련 지표에 대한 연구가 진행되어왔다. 특히, 상수관망의 최적설계 시, 상수관망의 기능적 요소로써 관련 지표들을 비용(Cost)과 함께 다중목적함수로 고려하는 연구까지 다수 진행되고 있으나, 이러한 지표들이 상수관망에서 핵심적인 몇 가지 요소들의 변화에 대하여 어떻게 반응하는지에 대한 분석은 제대로 이루어지지 않고 있다. 본 연구에서는 동일한 상수관망시스템에서 용수의 흐름상황을 크게 좌우할 수 있을 것으로 판단되는 몇 가지 변동상황을 고려하여 이러한 지표들이 각각의 변동상황에 어느정도 민감하게 반영하는지 분석하였다. 여기서, 상수관망시스템의 중요 변화요소로써 1) 수요량의 변화, 2) Loop 개수의 변화, 3) 수원지(Source) 개수의 변화, 4) 해당시스템의 최소 요구수압 변화 등을 고려하였다. 본 연구를 통해, 상수관망시스템의 신뢰도 산정에 활용되고 있는 기존의 지수들이 다양한 변동 상황을 얼마나 잘 반영할 수 있는지를 파악하고, 기존의 지수들을 보완한 개선된 신뢰도 지수의 개발가능성을 모색하도록 한다.

• Nuclear Engineering and Technology
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• v.48 no.1
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• pp.114-128
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• 2016

The development of operational performance indicators is of utmost importance for nuclear power plants, since they measure, track, and trend plant operation. Leading indicators are ideal for reducing the likelihood of consequential events. This paper describes the operational data analysis of the information contained in the Corrective Action Program. The methodology considers human error and organizational factors because of their large contribution to consequential events. The results include a tool developed from the data to be used for the identification, prediction, and reduction of the likelihood of significant consequential events. This tool is based on the resilience curve that was built from the plant's operational data. The stress is described by the number of unresolved condition reports. The strain is represented by the number of preventive maintenance tasks and other periodic work activities (i.e., baseline activities), as well as, closing open corrective actions assigned to different departments to resolve the condition reports (i.e., corrective action workload). Beyond the identified resilience threshold, the stress exceeds the station's ability to operate successfully and there is an increased likelihood that a consequential event will occur. A performance indicator is proposed to reduce the likelihood of consequential events at nuclear power plants.

• Journal of Convergence for Information Technology
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• v.10 no.4
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• pp.81-88
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• 2020

The purpose of this study is to investigate the effects of the job stress and ego-resilience of kindergarten teachers life satisfaction, and to explore ways to improve life satisfaction. 198 public and private kindergarten teachers and childcare center teachers in Gangwon-do were asked to respond by using job stress, ego-resilience, and life satisfaction questionnaires. Based on the collected data, Pearson's correlation coefficient analysis and hierarchical multiple regression analysis are as follows. First, the higher the job stress of the kindergarten teacher, the lower the life satisfaction, and the higher the ego-resilience, the higher the life satisfaction. In particular, the reward, a sub-variable of job stress, had a significant negative correlation with the kindergarten teacher's ego-resilience and life satisfaction. Second, the predictors of relationship resilience, energy, and reward significantly influenced the life satisfaction of kindergarten teachers, and the relationship resilience was relatively explanatory about life satisfaction. This study suggests that an educational plan to be explored to improve ego-resilience for kindergarten teacher's life satisfaction.

• Journal of the Korean Society of Safety
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• v.38 no.1
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• pp.18-24
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• 2023

Severe natural disasters and man-made attacks such as terrorism are causing unprecedented disruptions in power systems. Due to rapid climate change and the aging of energy infrastructure, both the frequency of failure and the level of damage are expected to increase. Resilience is a concept proposed to respond to extreme disaster events that have a low probability of occurrence but cause enormous damage and is defined as the ability of a system to recover to its original function after a disaster. Resilience is a comprehensive indicator that can include system performance before and after a disaster and focuses on preparing for all possible disaster scenarios and having quick and efficient recovery actions after an incident. Various studies have been conducted to evaluate resilience, but studies on economic damage considering the duration of a power outage are scarce. In this study, we propose an optimal algorithm that can identify failures after an extreme disaster and restore the load on the distribution system through emergency distributed power generation input and system reconfiguration. After that, the cost of power outage damage is analyzed by applying VoLL and CDF according to each restoration strategy.

• KEPCO Journal on Electric Power and Energy
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• v.7 no.2
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• pp.201-205
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• 2021

• Fashion & Textile Research Journal
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• v.6 no.5
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• pp.660-666
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• 2004

This article describes the change of hand value of chitosan crosslinked cotton fabrics. The chitosan crosslinked cotton fabrics were manufactured by mercerizing process using epichlorohydrin(ECH) as crosslinkins agent, 2% aqueous acetic acid as a solvent of chitosan and ECH, and 20% aqueous sodium hydroxide as a mercerizing agent and crosslinking catalyst. Cotton fabrics were dipped in the mixed solution of chitosan and ECH, picked up by mangle, mercerized and crosslinked in NaOH solution, and finally wash and dry. Mechanical and physical properties of the chitosan crosslinked fabric were investigated using Kawabata Evaluation System(KES) and other instruments. Tensile energy and tensile strain were decreased with the increase of the concentration of chitosan. Tensile resilience, compression resilience bending rigidity, bending hysteresis, shear stiffness, shear hysteresis, coefficient of friction, geometrical roughness, compression linearity, compressional energy, and thickness were increased with the increase of the concentration of chitosan. On the other hand, bending rigidity, bending hysteresis, coefficient of friction, geometrical roughness, compressional resilience, and thickness were increased with the increase of the concentration of crosslinking agent(epichlorohydrin).

• Structural Engineering and Mechanics
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• v.52 no.6
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• pp.1157-1176
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• 2014

The objective of this research is to develop a practical design and assessment approach of steel frames with steel slit walls (SSWs) that focuses on the damage-control behavior to enhance the structural resilience. The yielding sequence of SSWs and frame components is found to be a critical issue for the damage-control behavior and the design of systems. The design concept is validated by the full-scale experiments presented in this paper. Based on a modified energy-balance model, a procedure for designing and assessing the system motivated by the framework regarding the equilibrium of the energy demand and the energy capacity is proposed. The damage-control spectra constructed by strength reduction factors calculated from single-degree-of-freedom systems considering the post stiffness are addressed. A quantitative damage-control index to evaluate the system is also derived. The applicability of the proposed approach is validated by the evaluation of example structures with nonlinear dynamic analyses. The observations regarding the structural response and the prediction during selected ground motions demonstrate that the proposed approach can be applied to damage-control design and assessment of systems with satisfactory accuracy.