• Journal of the Korean Professional Engineers Association
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• v.44 no.2
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• pp.51-56
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• 2011

While performing the overseas projects in developing countries under EDCF loans with Korean civil design engineers as a project manager, I often used to find out and realize that lots of Korean engineers are not fully aware of what EDCF means and how EDCF funded projects are being implemented in developing countries. This implies that in the past, they have been concentrating on domestic projects only, not to mention have the rare opportunities to work in overseas projects. For these reasons, no wonder they neither pay a careful attention to the unfamiliar terms nor intend to try to realize them, even though such terms are fundamentals and important in overseas design works. With 'something will make it do'-like-attitude in our mind on site, nothing helps us at all. To help those who would like to understand and participate in overseas civil design works in developing countries under EDCF loans either as participants or as a future project manager, I introduce what EDCF means and how the procedure under these loans is being carried out, and they are briefly described herein this paper.

• Proceedings of the Korean Geotechical Society Conference
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• 2010.03a
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• pp.1256-1263
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• 2010

Suction Drain Method is soft ground improvement technique, in which a vacuum pressure can be directly applied to the Vertical Drain Board to promote consolidation and strengthening the soft ground. This method does not require a surcharge load, different to embankment or Preloading Method. In this study, ground improvement efficiency of suction drain method was estimated when duplex loading pressure with vacuum and pressure. During suction drain method process, surface settlement and pore pressure were monitored, and cone resistance test as well as water content were also measured after the completion of Suction Drain Method treatment.

• International Journal of Concrete Structures and Materials
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• v.3 no.1
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• pp.63-69
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• 2009

This paper provides the engineer with a simple design method dealing with situations arise where in-situ reinforced concrete joints are cast between hollow core units. Using finite element method, hollow core slabs with wide in-situ RC joints under point load and line loads are analysed. In addition, some important behavioural characteristics of the floor slab subjected to line and point loads are investigated. In-situ reinforced concrete joint causes reduction of load distribution for remote units because distance to the remote units from the point of load is increased, while the portion of load distribution carried by loaded unit increases. Also, it was turned out load distribution factors for point load and line loads are almost same. Finally, we suggest a simple analytical method, which can determine load distribution factors using normalized deflections by regression analysis for design purposes.

• Structural Engineering and Mechanics
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• v.89 no.4
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• pp.399-409
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• 2024

Assessment of existing concrete bridges is a challenge for owners. It has greater economic impact when compared to designing new bridges. When using conventional linear analyses, judgment of the engineer is required to understand the behavior of redundant structures after the first element in the structural system reaches its ultimate capacity. The alternative is to use a predictive tool such as advanced nonlinear finite element analyses (ANFEA) to assess the overall structural behavior. This paper proposes a new reliability framework for the assessment of existing bridge structures using ANFEA. A general framework defined in previous works, accounting for material uncertainties and concrete model performance, is adapted to the context of the assessment of existing bridges. A "shifted" reliability problem is defined under the assumption of quasi-deterministic dead load effects. The overall exercise is viewed as a progressive pushover analysis up to structural failure, where the actual safety index is compared at each event to a target reliability index.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.11a
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• pp.74-75
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• 2015

Recently domestic youth unemployment rate has increased continuously. The cause is due to construction recession. As a result, the youth unemployment rate was approximately 8.0% in 2013. In particular, graduates of civil engineers and architecture engineers are difficult to find a new job. Major construction companies also prefer new employees rather than career employees. Therefore, the employment rate of construction-related university graduates is continuing decline. Accordingly, construction and technical engineers will be aging. Therefore, this study was looking for ways to promote the overseas expansion of young construction engineers. And this research has suggested the ways which young engineers can find a new job through improving the system.

• Journal of architectural history
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• v.23 no.5
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• pp.61-71
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• 2014

Through the changes of royal architectural bureau in Gungnaebu, this study attempts to find out the modern transition of traditional facilities belonging to Gungnaebu as well as the constituent of human resources in royal architectural bureau. Yeongseonsa, the royal architectural bureau in Gungnaebu after 1905, was comprised of traditional architectural engineers including Sim Euiseok, and they tried the modern transition of traditional royal facilities gradually. But, Yeongseonsa was transformed to Naejangwon Tomokgwa which was comprised of Kim Yungu and Japanese modern architectural engineers. As Kim Yungu was the modern civil engineer not architectural engineer, Japanese architectural engineers took the lead in the architectural activities of Naejangwon Tomokgwa, and Japanese architectural technology was applied to Korean royal facilities since then.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.05b
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• pp.181-184
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• 2009

The technical expert standing system of our construction industry is operated by the Ministry of Labor subjective national technical qualification law, as the professional engineer, architect and architect-engineer and so on. The construction management(CM) which is introduced on middle 1990 activates a building industry the condition of the essential indispensability for is becoming, is not officially recognized with is judged as the nostril people for qualification of the civil CM educational institutions ha the certification which is a each educational program and a separate way and it is the actual condition which is become accomplished, In this research, it observes the capital increase reserve problem point which is a domestic CM and the certification integration which is a report and system anger it leads and with national certified qualification it develops to present the improvement program for, it does to sleep.

• Proceedings of the Korean Geotechical Society Conference
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• 2008.03a
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• pp.987-997
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• 2008

Successful design, construction and maintenance of geotechnical structure in soft ground and marine clay demands prediction, control, stability estimation and monitoring of settlement with high accuracy. It is important to predict and to estimate the compression index of soil for predicting of ground settlement. Lab. and field tests have been and are indispensable tools to achieve this goal. In this paper, Artificial Neural Networks (ANNs) model with Levenberg-Marquardt Algorithm and field database were used to predict compression index of soil in Korea. Based on soil property database obtained from more than 1800 consolidation tests from soils samples, the ANNs model were proposed in this study to estimate the compression index, using multiple soil properties. The compression index from the proposed ANN models including multiple soil parameters were then compared with those from the existing empirical equations.

• Smart Structures and Systems
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• v.20 no.2
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• pp.219-229
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• 2017

Outlier detection is an imperative task to identify the occurrence of abnormal events before the structures are suffered from sudden failure during their service lives. This paper proposes a two-phase method for the outlier detection of Global Positioning System (GPS) monitoring data. Prompt judgment of the occurrence of abnormal data is firstly carried out by use of the relational analysis as the relationship among the data obtained from the adjacent locations following a certain rule. Then, a negative selection algorithm (NSA) is adopted for further accurate localization of the abnormal data. To reduce the computation cost in the NSA, an improved scheme by integrating the adjustable radius into the training stage is designed and implemented. Numerical simulations and experimental verifications demonstrate that the proposed method is encouraging compared with the original method in the aspects of efficiency and reliability. This method is only based on the monitoring data without the requirement of the engineer expertise on the structural operational characteristics, which can be easily embedded in a software system for the continuous and reliable monitoring of civil infrastructure.

• Advances in Computational Design
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• v.7 no.1
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• pp.1-17
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• 2022

In this study, a new strategy is presented to transmit the fundamental elastic beam problem into the modern optimization platform and solve it by using artificial intelligence (AI) tools. As a practical example, deflection of Euler-Bernoulli beam is mathematically formulated by 2nd-order ordinary differential equations (ODEs) in accordance to the classical beam theory. This fundamental engineer problem is then transmitted from classic formulation to its artificial-intelligence presentation where the behavior of the beam is simulated by using neural networks (NNs). The supervised training strategy is employed in the developed NNs implemented in the heuristic optimization algorithms as the fitness function. Different evolutionary optimization tools such as genetic algorithm (GA) and particle swarm optimization (PSO) are used to solve this non-linear optimization problem. The step-by-step procedure of the proposed method is presented in the form of a practical flowchart. The results indicate that the proposed method of using AI toolsin solving beam ODEs can efficiently lead to accurate solutions with low computational costs, and should prove useful to solve more complex practical applications.