• The Journal of Engineering Geology
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• v.30 no.4
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• pp.457-468
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• 2020

Problems arising during pile design works for plant construction, civil and architecture work are mostly come from uncertainty of geotechnical characteristics. In particular, obtaining the N-value measured through the Standard Penetration Test (SPT) is the most important data. However, it is difficult to obtain N-value by drilling investigation throughout the all target area. There are many constraints such as licensing, time, cost, equipment access and residential complaints etc. it is impossible to obtain geotechnical characteristics through drilling investigation within a short bidding period in overseas. The geotechnical characteristics at non-drilling investigation points are usually determined by the engineer's empirical judgment, which can leads to errors in pile design and quantity calculation causing construction delay and cost increase. It would be possible to overcome this problem if N-value could be predicted at the non-drilling investigation points using limited minimum drilling investigation data. This study was conducted to predicted the N-value using an Artificial Neural Network (ANN) which one of the Artificial intelligence (AI) method. An Artificial Neural Network treats a limited amount of geotechnical characteristics as a biological logic process, providing more reliable results for input variables. The purpose of this study is to predict N-value at the non-drilling investigation points through patterns which is studied by multi-layer perceptron and error back-propagation algorithms using the minimum geotechnical data. It has been reviewed the reliability of the values that predicted by AI method compared to the measured values, and we were able to confirm the high reliability as a result. To solving geotechnical uncertainty, we will perform sensitivity analysis of input variables to increase learning effect in next steps and it may need some technical update of program. We hope that our study will be helpful to design works in the future.

• Korea Science and Art Forum
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• v.28
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• pp.23-32
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• 2017

The purpose of this study is to contribute to the activation of sports for the disabled people in Korea through the localization of the road racing handcycles. Recently, there are no handcycles produced in Korea, and all the players are using products made in foreign countries. In the case of foreign products, it is made to fit the body shape of foreign athletes. Therefore, when domestic players are using them, they put additional parts to foreign products in order to fit their body shape. This not only adds to the cost burden, but also causes a decrease in the performance of the athletes. In order to overcome these problems, we developed the road racing handcycle in consideration of the body shape of the Koreans and conducted a comparative usability evaluation with the foreign products to evaluate the performance of the developed prototype. Therefore, we analyzed the quantitative and qualitative evaluation results of the prototype produced in the previous study, and developed the Korean road racing handcycle that can improve the competitiveness while considering the shape of domestic players. Based on the problems derived from the first prototype, this study additionally constructed a crank, an air intake part and a discharge part, and a rear anti-shake prevention device. In order to evaluate the usability, we conducted a comparative usability assessment with the foreign products used by the current standing handcycle athletes. The results were measured in the area of effectiveness, efficiency, and satisfaction, and the prototype developed through the research on efficiency and satisfaction excluding effectiveness was evaluated to be higher than those of foreign products. This study will contribute to the improvement of international competitiveness due to import substitution effects of foreign products and exports by lowering the handcycle cost of importing foreign handcycle.

• Korean Journal of Construction Engineering and Management
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• v.24 no.6
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• pp.24-35
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• 2023

Recently, the Ministry of Land, Infrastructure and Transport presented the '6th Construction Technology Promotion Basic Plan' and 'Smart Construction Revitalization Plan (2022.7.20)'. Off-Site Construction (OSC), which involves construction and production of PC (Precast Concrete) and Modular, etc., has advantages in shortening the construction period, reducing costs, improving quality, reducing construction waste, and reducing safety accidents. However, the construction cost is high compared to the traditional RC construction method, which has hindered its utilization and spread. In this study, OSC utilization was improved. An economic analysis indicator and methodology that can support decision-making in the planning and design stages for multi-unit housing were proposed. The factors used in the economic analysis of OSC (based on the PC method) of apartment houses were reviewed. As for the indicators used in the cost and benefit section, 'Construction Period', 'Disaster Occurrence', 'Waste Generation', and 'Greenhouse gas Emission', which reflect the technical advantages of OSC, were derived. In addition, a scenario analysis was conducted based on actual apartment housing case data for the presented economic analysis indicators and benefit calculation standards. The level of benefit that offsets the difference between the existing RC construction method and the construction cost was reviewed. In future studies, it will be necessary to conduct additional case studies to apply the measurement criteria for detailed indicators and supplement the benefit indicators.