• Journal of the Korea Institute of Building Construction
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• v.11 no.5
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• pp.459-467
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• 2011

The work of constructing apartment housing involves various fields of industry that are linked to each other, and is based on a design document prepared by multiple technicians and architects. Consequently, design errors, material flaws or faulty construction works can cause defects, which sometimes overlap with each other. Construction companies should repair any defects found in a completed building within a specified period of time, and to do this, should establish a business plan by efficiently predicting the cost of defect repair. As it is very difficult for companies to accurately predict the occurrence of defects, historical performance data is used as a base. For domestic apartment housing units, data on the cost of defect repair is insufficient, so there are hardly any methods that can be used to make precise predictions. Therefore, the intent of this study is to develop a model that can predict the cost of defect repair by supply type and area, based on historical performance data with ten years worth of post-completion.

• KIEAE Journal
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• v.12 no.3
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• pp.11-18
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• 2012

The purpose of this study is to contribute to solution of the defect dispute in apartment house in advance. We want to propose the improved devices in defect problems by investigating the money that exacted from the practical business of the inspection company and the money that a judge gave a decision in a civil court in 50 cases of the lawsuit to requesting the guarantee against defects and the improved schemes of the applied rate by analyzing the diagnosis money of each applied years about the term of warranty liability in 40 cases of the lawsuit separately from that. As the result, we have to reflect the defect of non construction and error construction on apartment building defects, which recognizes very important factor when we compute the defect repair warranty money and it needs to be rearranged the applied ratio in guarantee peried of housing law practically.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.183-184
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• 2021

Defects such as falling and cracking of tiles installed in the bathrooms of apartment houses are frequently occurring. Therefore, in order to solve this problem, the A/S cost of construction companies and consumer complaints are increasing. The causes of tile defects include problems such as the selection of tile adhesive and lack of adhesive strength, the carelessness of the installer, the base surface, and the absorption rate of the tile. Therefore, in this study, an adhesive construction method using tile adhesives with high resistance to deformation of floors and tiles was studied. In addition, the properties and construction methods of tile adhesives were evaluated.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.9
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• pp.403-410
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• 2017

Apartment housing has rapidly increased since the housing supply policy implemented in the late 1980s. However, various defects have occurred because the policy focused only on quantity supply, while neglected quality control. In addition, disputes related to various defects are increasing. ; accordingly, studies defects of apartment houses have been continuously conducted to solve various problems. In this study, I analyzed the research trends regarding long-term accumulated defects of apartment buildings by keyword network analysis, and suggest implications. As ananalysis method, I collected journal articles using the portal of the Korea Educational and Scientific Information Agency and constructed data analysis by filtering collected academic papers and keyword refinement. Ialso performed visualization modeling for keyword network relationships, connection degree centrality analysis, and mediation centrality analysis. The results revealed that Mortgage, Dispute, Repair, Case, Response, Condensation, Cost, Institution, Standard, and Valuation are the main keywords that characterize apartment housing defects.

• Journal of the Korea Institute of Building Construction
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• v.20 no.6
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• pp.567-576
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• 2020

This study proposes additional items to be recognized as defects in a defect lawsuit through a case analysis of lawsuit cases in apartment housing. Identifying these defects prevents an unexpected increase in litigation costs, delays in the date of litigation, and emotion repercussions or additional lawsuits. In this study, the defects that were not discovered by the existing occupants and construction companies, but were newly discovered in litigation, were defined as defects in lawsuits. Fifteen cases of lawsuits were analyzed and a total of 77 defects were derived. Each item was then reviewed for location, work type, number of occurrences, and cost. The results were yielded 23 defect items, which were validated by appraisers who directly appraised the cases. In addition, the derived defect factors were analyzed. Finally, the 23 defect items were categorized into 10 main factors which include attributes such as causes of occurrence and characteristics. This can provide an overall area of defects to be considered in addition to existing defect items in the life cycle of the housing. The results of this study can contribute to reducing the actual occurrence of defects and minimizing the disputes in the case of defect lawsuits.

• Journal of the Korea Institute of Building Construction
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• v.10 no.2
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• pp.115-123
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• 2010

Defects in apartments, which are one of the major residential types in Korea,produce unexpected inconvenience for their owners. If construction companiespaid more careful attention to the management of defect information, manydefects could be prevented. In this context, this study attempted to derive an improved defect information management system. First, research into cases of defects that were caused by weaknesses in the defect information management system were advanced to confirm the necessity of improving the defect information management system, and as the next step, a survey was conducted to identify problems with the current defect information management system, and the requirements of animproved system. In conclusion, an improved defect information management system will contribute to preventing defects in apartments in Korea.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.11a
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• pp.235-236
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• 2023

The process of construction site supervision plays a crucial role in ensuring safety and quality assurance in construction projects. However, traditional methods of supervision largely depend on human vision and individual experience, posing limitations in quickly detecting and preventing all defects. In particular, the thorough supervision of expansive sites is time-consuming and makes it challenging to identify all defects. This study proposes a new construction supervision system that utilizes vision processing technology and Artificial Intelligence(AI) to automatically detect and analyze defects as a solution to these issues. The system we developed is provided in the form of an application that operates on portable devices, designed to a lower technical barrier so that even non-experts can easily aid construction site supervision. The developed system swiftly and accurately identifies various potential defects at the construction site. As such, the introduction of this system is expected to significantly enhance the speed and accuracy of the construction supervision process.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.155-156
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• 2018

Apartment houses are now a popular form of general housing, and the construction techniques and materials quality used to construct apartments are also continuously evolving as if they were representative. However, issues concerning flaws are constantly being reported in the press. This study attempts to analyze the trend of conflicts related to defects and to analyze the types of defects received in the apartment building, to suggest the development of the integrated defect management system, and to develop the construction based on the development of the system.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2023.11a
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• pp.97-98
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• 2023

Recently, the use of digital technology in architectural technology is gradually increasing with the development of various industrial technologies. There are artificial intelligence and drones in the field of architecture, and among them, deep learning technology has been introduced to conduct research in areas such as precise inspection of buildings, and it is expressed in a highly reliable way. When a building is deteriorated, various defects such as cracks in the surface and subsidence of the structure may occur. Since these cracks can represent serious structural damage in the future, the detection of cracks was conducted using artificial intelligence that can detect and identify surface defects by detecting cracks and aging of buildings.

• Journal of the Korea Institute of Building Construction
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• v.23 no.1
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• pp.57-68
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• 2023

To maintain the normal function of an aging building, regular inspection, repair, and reinforcement must be performed. However, the form of information and decision-making generated in the current building maintenance stage still depends on inefficient methods. This causes an increase in cost and waste of time in building maintenance. Therefore, this study proposed a COBie-IM document for building inspection and maintenance information management by benchmarking COBie, and suggested a method of checking information by linking it with BIM. In addition, a method for visualizing the designation of colors according to the damage grade of defects occurring in the building was suggested. Through this, we are able to systematically integrate and manage the information generated during inspection and maintenance in the building maintenance stage. This is expected to increase work efficiency by supporting decision-making that determines the priority of repair and reinforcement for defects.