• Steel and Composite Structures
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• v.15 no.2
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• pp.131-150
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• 2013

This paper presents the experimental results of axially loaded stub columns of slender steel hollow square section (SHS) strengthened with carbon fiber reinforced polymers (CFRP) sheets. 9 specimens were fabricated and the main parameters were: width-thickness ratio (b/t), the number of CFRP ply, and the CFRP sheet orientation. From the tests, it was observed that two sides would typically buckle outward and the other two sides would buckle inward. A maximum increase of 33% was achieved in axial-load capacity when 3 layers of CFRP were used to wrap HSS columns of b/t = 100 transversely. Also, stiffness and ductility index (DI) were compared between un-retrofitted specimens and retrofitted specimens. Finally, it was shown that the application of CFRP to slender sections delays local buckling and subsequently results in significant increases in elastic buckling stress. In the last section, a prediction formula of the ultimate strength developed using the experimental results is presented.

• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.843-845
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• 2005

The uncertainty of long term electricity plan consists of the uncertainty of demand forecast and additional generating capacity. Demand forecast is clearly improved the accuracy than the past through improving forecasting methods. However, the uncertainty of additional generating capacity is increased due to the change of market environment. In an operation by a sole utility, additional generating capacity would be possible by the regulation of government. Currently the generation companies have spined off from KEPCO and some IPPs participate the electricity market. It increases the uncertainty due to weakened regulation. Also the environment movement by NGOs and occurrence of civil affairs cause the increase of uncertainty. This research would analyze the current situation on the uncertainty of additional generating capacity and construction delays. Furthermore this research would present the plan to reflecting it in long term electricity plan.

• The Journal of Fisheries Business Administration
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• v.50 no.4
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• pp.45-57
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• 2019

Effective implementation of private subsidy projects requires comprehensive expertise in the aquaculture and construction sectors to be provided to private subsidy operators, local government officials and others involved in budget execution and settlement. Due to the strengthening of laws and systems related to the execution of state subsidies since 2015, the efficient implementation of private-sector grant projects has been difficult for delays in projects, cancellations, and conflicts with local governments from lack of prior awareness and understanding of related regulations. It is expected that the government will be able to activate the project by analyzing the current status and problems of each phase of project implementation for improving quality internalization of the project effects, as well as quantitative growth of the private sector subsidy project for environmentally friendly aquaculture development projects.

• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.2
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• pp.236-247
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• 2009

In Korea, the driving system restriction criteria is strictly applied(gross weight 400kN, axial load 100kN). Especially after the Seoungsu Bridge accident, safety factor has been strictly applied. The Safety factor is applied to the cumulative results for each steps like design, construction, maintenance of the Bridge. Because of it, the bridge is undervalued compared to its capacity. So, this generates loss for both private and military sector(eg. logistical delays, structural damage, etc.). But analyzing data from many existing researches we have confirmed that the military heavy vehicle may pass through the first class bridges. In consequence, this study have focused on determining whether HETS vehicles can pass over the first class bridge, without safety issues, using MIDAS structural analysis program. The results have confirmed that the military heavy vehicle may pass over the bridge.

• Proceedings of the IEEK Conference
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• 1999.06a
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• pp.741-744
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• 1999

In this paper, We represent a low complexity of parallel canonical basis multiplier for GF( q$^{n}$ ), ( q＞ 2). The Mastrovito multiplier is investigated and applied to multiplication in GF(q$^{n}$ ), GF(q$^{n}$ ) is different with GF(2$^{n}$ ), when MVL is applied to finite field. If q is larger than 2, inverse should be considered. Optimized irreducible polynomial can reduce number of operation. In this paper we describe a method for choosing optimized irreducible polynomial and modularizing recursive polynomial operation. A optimized irreducible polynomial is provided which perform modulo reduction with low complexity. As a result, multiplier for fields GF(q$^{n}$ ) with low gate counts. and low delays are constructed. The architectures are highly modular and thus well suited for VLSI implementation.

• Corrosion Science and Technology
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• v.4 no.1
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• pp.29-32
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• 2005

A various structural materials are used in construction projects such as a stone, concrete, steel materials. Between of them, concrete are used widely. The compressive strength of concrete is high, and its maintenance and management is comparatively easy. The R.C Building will be superannuated as time passes. This program is generated by propagation of cracks. In order to manage such cracks, time and efforts, expense, etc. are required. In this study, glass sensors were embedding in a model beam and column and leakage of fluorescence and adhesive material was investigated. Further, currents in glass pipe were observed to find the leakage of liquid in glass pipes. Progressive cracks generated by cause the fracture of glass pipes. Therefore, the liquid become to flow and electric current stops, and the cracked part of the member can be found easily. Moreover, the adhesive delays progressive cracking system that responds in air, and the life of a structure can be made to extend. The purpose of this research is to develop of low price sensors that can perform of self-diagnosis in addition to ability of concrete repair concrete to damage.

• Journal of the Korea Safety Management & Science
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• v.13 no.1
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• pp.31-39
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• 2011

In this study, supervision resides fire mission against problems associated with case studies and surveys done through the side of the field work, technical personnel, fire management, including fire code aspects classified into three kinds of items dealt with the issue. Started at the scene of the problem in terms of performance, the issue of the construction process, mainly dealt with the issue at the time of completion. Fire management side, supervisor of technical personnel, human resources management issues, contract issues, fire code level, the frequent revisions of fire regulations, supervision, processing delays of the resulting report, the problem resides with the expansion of Fire Supervision target was mentioned. Finally, the target for each hierarchical supervision, and resident supervisor of the need for supervision of work performance test was carried out by the correlation.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.6 no.1
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• pp.125-145
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• 1998

The term "Privatization" has a different meaning in different contexts and cultures. In this paper, the term "Privatization" in the context of airports is defined as the movement of an entity from the government sector to the private sector. This is the definition that is commonly employed in the U.S. Airport revenue can he divided into two sub-categories of aeronautical revenue and non-aeronautical revenue. At many of the major international airports, however, non-aeronautical revenue has been growing faster than the aeronautical revenue, contributing an increasingly larger share of the total revenue. And the best way to enhance simultaneously the airport operations. With the remarkable growth in the air traffic volume of pssengers and cargo. more and more mega-international airports have been built or are under construction. As the air transport demand is expected to increase at an even greater rate in the 21st century, new types of airports which will be free of current major problems. such as airport congestion and flight delays are badly needed.

• Korean Journal of Construction Engineering and Management
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• v.15 no.2
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• pp.12-22
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• 2014

Recently, many people have been damaged seriously by construction noise. Accordingly, there have been increased the complaints and disputes. These complaints should be controlled strictly. Otherwise there could be delays or stops of project and losses of time and money. For this reasons, the Korean government is trying to convert from depending on the soundproof wall to noise control system focusing on noise sources. However, it is difficult to control the noise which is generated from construction site because construction equipment has very high noise level and construction noise generates temporarily and irregularly. Also, people do not know how much low frequency affect human body adversely because they cannot perceive low frequency noise easily. Hence, recently developed countries have conducted the research on the low frequency noise which damages on human physically and mentally. However, passive noise control is insufficient to reduce the low frequency noise, but only efficient to lower the high frequency noise. Thus, an approach which can complement limitations of passive noise control is needed. Therefore, the purpose of this research is to suggest the noise management model using active noise control on construction site. Also, ANC simulation has been conducted to examine its applicability on construction equipment. As a result, it is expected that there will be a reduction of construction noise and demages, as well as both mental and physical damages.

• Journal of Construction Engineering and Project Management
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• v.5 no.1
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• pp.11-19
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• 2015

This paper presents optimized artificial neural networks (ANNs) claims prediction and decision awareness framework that guides owner organizations in their pre-bid construction project decisions to minimize claims. The framework is composed of two genetic optimization ANNs models: a Claims Impact Prediction Model (CIPM), and a Decision Awareness Model (DAM). The CIPM is composed of three separate ANNs that predict the cost and time impacts of the possible claims that may arise in a project. The models also predict the expected types of relationship between the owner and the contractor based on their behavioral and technical decisions during the bidding phase of the project. The framework is implemented using actual data from international projects in the Middle East and Egypt (projects owned by either public or private local organizations who hired international prime contractors to deliver the projects). Literature review, interviews with pertinent experts in the Middle East, and lessons learned from several international construction projects in Egypt determined the input decision variables of the CIPM. The ANNs training, which has been implemented in a spreadsheet environment, was optimized using genetic algorithm (GA). Different weights were assigned as variables to the different layers of each ANN and the total square error was used as the objective function to be minimized. Data was collected from thirty-two international construction projects in order to train and test the ANNs of the CIPM, which predicted cost overruns, schedule delays, and relationships between contracting parties. A genetic optimization backward analysis technique was then applied to develop the Decision Awareness Model (DAM). The DAM combined the three artificial neural networks of the CIPM to assist project owners in setting optimum values for their behavioral and technical decision variables. It implements an intelligent user-friendly input interface which helps project owners in visualizing the impact of their decisions on the project's total cost, original duration, and expected owner-contractor relationship. The framework presents a unique and transparent hybrid genetic algorithm-ANNs training and testing method. It has been implemented in a spreadsheet environment using MS Excel$^{(R)}$ and EVOLVERTM V.5.5. It provides projects' owners of a decision-support tool that raises their awareness regarding their pre-bid decisions for a construction project.