• Journal of the Korea Institute of Building Construction
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• v.12 no.2
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• pp.152-160
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• 2012

The development of building must be accompanied with construction technology and performance of materials. In particular, wet processes have a high level of dependence on manpower and a low level of diversification of materials used. This study aimed to determine the applicability of various materials for wet process, mechanized construction and eco-friendly building materials through a comparison with dry premixed mortar. As a result, it was found that resin plaster and gypsum plaster's strength is lower than that of dry cement mortar, but their mechanization application, construction simplification, smoothness and bond strength are higher than that of dry cement mortar. And estimate that is valid as workability, bonding strength, eco-friendly building material in occasion of gypsum plaster.

• Korean Journal of Construction Engineering and Management
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• v.23 no.4
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• pp.47-56
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• 2022

In a construction project, process planning is an important factor in determining the success or failure of a project. In particular, it is necessary to systematically establish a process plan in the early stage because the finishing work of an apartment house involves more interference than the foundation work or the frame work. First, in this study the problems of Tact process management were identified, Based on the data from the case project, conventional Tact process management and compositive Tact process management were compared and analyzed. Second, cost analysis was performed on applicable plastering work to suggest the necessity and direction of compositive Tact process management. Third, the appropriateness of manpower according to the number of construction households is analyzed through cost analysis. Through this, the validity and effectiveness of compositive Tact process management were verified based on the results derived from this study.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2019.05a
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• pp.232-233
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• 2019

The plater work in the standard of estimate presents a variety of construction types. However, there is a part that does not fit the change of specification standards and on-site construction status, and it was revised in 2019's standard of estimate. In this study, we analyzed in detail the factors affecting the changes in estimating standards in the plater work. There were changes in the specification standards previously presented as primary coat, secondary coat, and formal coat as well as changes in on-site construction status such as thickness according to the number of plastering. Therefore, it is analyzed that the estimating standards can be classified by the number of finishes according to the site conditions by reflecting the analysis of the specification standards and site application status, and suggesting the finishing standards according to the number of plastering.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2017.05a
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• pp.133-134
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• 2017

The In the experiment on flow using sand walls, when white clay+sand was mixed with glutinous rice, traditional paper and seaweed as adherents and preventive measures for cracks, the flow was higher than other sand wall mortars. This indicates that it is effective in improving flow. Moreover, in terms of strength, a mix of white clay+sand, traditional paper and flour had a greater strength than a mix of white clay+sand, straws and flour. In the experiment to test for cracks and shrinking during drying, a composition of white clay+sand+traditional paper showed fewer cracks and less shrinking than the walls where straws were mixed in.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.217-221
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• 2003

This study proposes a new classification system and analysis methodology for time delay risk of apartment projects. And this study proposes the classification of major trades and risk level and risk index by performing expert-oriented interview and survey report on a national scale. The purpose of this study is to present basic data for time delay risk management system through the analysis of risk level, risk index and rank of major 5 trades(earth work, structure work, masonry work, window and door/glass work, and interior finish work) in apartment projects.

• Korean Journal of Construction Engineering and Management
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• v.16 no.1
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• pp.110-118
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• 2015

The standard production unit system is the most basic element in our country construction. However, this standard production unit system shows a large difference in the actual amount of labor input for works at the Apartment housing construction, Therefore, it may be a reasonable alternative to estimate the cost of construction by historical cost data, works will be calculated the cost of labor must determine the exact amount and It is necessary to determine the exact amount of labor input for the construction progress management. This study examines the results of comparing the standard production unit system and the actual amount of labor counting in apartment housing construction was completed in the metropolitan area since 2000, the following results were obtained. the actual amount of labor input are looked for 1.184person/1000 of masonary, $0.084persons/m^2$ of plaster, $0.039persons/m^2$ of Waterproofing, $0.059persons/m^2$ of tile at the Apartment housing construction. in the actual amount of labor counting Compared with standard production unit system, masonry ratio of 59.8%, plaster ratio of 41.3%, waterproofing ratio of 31.5%, tile ratio of 34.3% and The labor rate in the works was the lowest in the plaster. was relatively high in the masonary. Therefore, the amount of labor country apartment housing construction is preferably calculated on historical cost data. But it seems that the amount of labor necessary complement ongoing close enough to the actual standard production unit system a major variable in construction management.

• 월간산업보건
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• s.266
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• pp.21-25
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• 2010

• Journal of the Korea Institute of Building Construction
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• v.11 no.4
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• pp.333-344
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• 2011

The recent expansion in the number of housing construction projects has been accompanied by substantial improvements in construction quality, which can be attributed to the development of new construction technologies and materials. In apartment complex construction projects, numerous mechanization technologies have been adopted as part of the floor plastering process to counter increasing difficulties in securing labor and the pressing need to reduce lead time, but these have also triggered setbacks such as additional costs or loss of time to fix cracks in or loosening of floor. Cracks developing in the floor of an apartment housing unit, in terms of materials in use, are the products of a complex combination of material makeup, construction workmanship, concrete curing and the protection method. Controlling such elements from the perspective of materials in use may ensure partial success in reducing cracks, but fall short of eliminating them completely. Any attempt to prevent cracks from developing in the first place requires systematic analysis as to their potential causes and viable solutions to reduce them. On this backdrop, this paper aims to provide an analysis of potential causes of cracks found in floor plastering, and consider the mechanism of a crack stop-bar as a fundamental safeguard against them.

• Korean Journal of Construction Engineering and Management
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• v.16 no.5
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• pp.97-104
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• 2015

Apartment Housing 25 in the field of construction since 2000 collected by types of labor: reinforced concrete, plaster, internal, equipment, electrics communication, the other work. And the performance of labor input was collected in the amount of construction work performed on a monthly basis. After changing the construction period in the standardization work that is 100% of the construction period, the amount was converted into labor ratio by type. Analysis of the input flow rate and the amount of labor conclusions were as follows: (1) The size of the labor rate is reinforced concrete work (38.25%), plastering work (5.10%), internal work (5.67%), equipment work (9.10%), electrics communication (8.76%), the other works (33.12%) and the size of labor rate is the largest work in reinforced concrete work. (2) The peak of labor input ratio was from 52.5% month to 62.5% month. This was when the labor rate of 3.6%. (3) The period month of the largest labor ratio% is 35% month by reinforced concrete construction, and this time it was 2.12% per month labor rate, and reinforced concrete construction is finishing from 65% month to 80% month. This showed the greatest congestion of mutual interference between each works is being continue. The results of this study are the greatest congestion in apartment housing construction has informed the high period(%months), which is essential to a successful project.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.9
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• pp.359-366
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• 2021

A number of construction companies in Korea invest considerable human and financial resources to construct a system for managing apartment defect data and for categorizing repair tasks. Thus, this study proposes machine learning models to automatically classify defect complaint text-data into one of the sub categories of 'finishing work' (i.e., one of the defect repair tasks). In the proposed models, we employed two word representation methods (Bag-of-words, Term Frequency-Inverse Document Frequency (TF-IDF)) and two machine learning classifiers (Support Vector Machine, Random Forest). In particular, we conducted both binary- and multi- classification tasks to classify 9 sub categories of finishing work: home appliance installation work, paperwork, painting work, plastering work, interior masonry work, plaster finishing work, indoor furniture installation work, kitchen facility installation work, and tiling work. The machine learning classifiers using the TF-IDF representation method and Random Forest classification achieved more than 90% accuracy, precision, recall, and F1 score. We shed light on the possibility of constructing automated defect classification systems based on the proposed machine learning models.