• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.11a
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• pp.67-68
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• 2022

The area inside the apartment building where tiles are installed is applied as a finishing material for walls and floors, including exterior walls, balconies, hallways, bathrooms, and kitchens. As it is constructed in various spaces, differences in the type and period of occurrence of tile defects may appear, which is caused by heterogeneous characteristics between materials and external causes. Therefore, in this study, two-way ANOVA was used to figure out the relationship between the defect occurrence type and the period depending on the type of tile construction in the apartment building.

• Journal of the Korea Institute of Building Construction
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• v.9 no.6
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• pp.91-98
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• 2009

One role of waterproofing work is to block external moisture and water. Defects in waterproofing work in building construction brings on huge repair costs for related construction work as well as for the waterproofing layer itself. However, we don't have a quantitative probabilistic management method for waterproofing work to successfully anticipate and prevent defects. From an analysis of the literature and prior research, defects in the waterproofing work in the underground parts of buildings occur frequently. We selected Fluid-Applied Membrane waterproofing work as representing waterproofing work in the underground parts of a building, and researched the general types and causes of defects. In this study, we developed the Relative-FMEA (Failure Mode and Effect Analysis) approach that merges the Matrix method and FMEA. From a survey of experts, we deduced the most important management factors for Fluid-Applied Membrane waterproofing work for the underground parts of buildings.

• Journal of the Korea Institute of Building Construction
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• v.18 no.4
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• pp.355-361
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• 2018

Many defects are occurring in apartments, the main residential area in Korea. This is due to a lack of construction skills and a lack of management. As many apartments are provided to buyers, the dispute over defects after completion is increasing rapidly. The Housing Act was amended so that local governments could order contractors to repair defects. However, even if defects are resolved after a defect is generated, it is not a fundamental solution that can be satisfied because buyers have to endure the pain caused by the defect. So, it is necessary to protect the interests of buyers by fundamentally reducing defects in apartments. Therefore, in this study, it was suggested that the asymmetry of the information about the apartment buyers should be resolved at the time of sale of the apartment, the final drawings should be a contract document, the review period of the apartment house supervision should be secured, the appropriate supervisory fee should be secured at the time of contract change and the payment procedure should be improved.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2017.11a
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• pp.209-210
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• 2017

Recently, bathroom tile defects in households are occurring more frequently. Until now, the destructive investigation method has been required to analyze tile defects. This study proposes a non-destructive using a thermal emission camera imaging as a possibly more precise method of investigating tile failure compared to previous existing methods.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.11a
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• pp.223-224
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• 2022

The occurrence of defect, one of the major risk elements, gives rise to construction delays and additional costs. Although construction companies generally prefer to use a method of identifying and classifying the causes of defects, a system for predicting the rise of defects becomes important matter to reduce this harmful issue. However, the currently used methods are kinds of reactive systems that are focused on the defects which occurred already, and there are few studies on the occurrence of defects with prediction systems. This paper is about preliminary study on the development of judgemental algorithm that informs us whether additional works related to defect issue are needed or not. Among machine learning techniques, deep neural network was utilized as prediction model which is a major component of algorithm. It is the most suitable model to be applied to the algorithm when there are 8 hidden layers and the average number of nodes in each hidden layer is 70. Ultimately, the algorithm can identify and defects that may arise in later and contribute to minimize defect frequency.

• Journal of Urban Science
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• v.11 no.2
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• pp.1-8
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• 2022

This study proposed how to identify window defects by using photos uploaded by occupants during the pre-handover inspection of mulch-family housing. A total of 1168 door images were acquired to generate training data and validation data. Subsequently, through the proposed algorithms, every pixel in images labeled a door was binarized using the OTSU threshold, and then dark pixels were identified as defects. Experimental results demonstrated that our computer vision-based defects identification method detects the door with a recall of 57.9%, and door defects with 63.6%. Although it is still a challenge to automatically identify building defects because of the distortion and brightness of photos, this study has the potential to support better defects management. Ultimately, the improved pre-handover inspection may lead to increased customer satisfaction.

• Journal of the Korea Institute of Building Construction
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• v.13 no.6
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• pp.549-556
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• 2013

This study analyzed the actual use of defect deposits for financing long-term expenses (that is, expenses incurred within 4-10 years of building completion) and for financing short-term expenses (that is, expenses incurred within 3 years of building completion). Therefore, 36 cost data on the expenses financed out of defect deposits for apartment complexes were collected from construction companies and analyzed using statistical methods. The findings revealed that 62.6 percent of defect deposits were spent to resolve actual defects, and 37.4 percent were spent resolving resident complaints. Furthermore, these results are valid regardless of the location of the complexes. As such, these results could be of significance when establishing or revising regulations regarding the repair of the long-term defects of apartment complexes.

• Computers and Concrete
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• v.16 no.4
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• pp.531-544
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• 2015

The objective of this study was to examine the effect of repair mortar on the dynamic properties such as natural frequencies, mode shape and damping ratios of two story single span scale reinforced concrete building. To this end, two story single span scale reinforced concrete building having dimensions of 150 cm (width), 150 cm (length) and 135 cm (height) was constructed. Workmanship defects such as separation of material, faulty vibration application and bad gradation of the structure were properly evaluated. Dynamic properties of damaged structure were experimentally determined using Operational Modal Analysis (OMA). Detected defects in the structure were fixed by plastering with repair mortar. Dynamic properties of repaired structure were reevaluated by using the OMA method. Finite element software called Abaqus was used to numerically determine dynamic properties of the structure. Structure modeled as solid was subjected to Linear Perturbation Frequency Method. The changes in dynamic properties of structure after the repair process were comparatively studied by evaluating experimental and numerical results.

• Journal of the Korea Institute of Building Construction
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• v.11 no.6
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• pp.597-608
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• 2011

It has been often noted as a problem that as there are no objective and clear criteria for the repair cost estimate of persistent defects, when a claim arises in relation to an apartment construction, significantly different amounts of compensation may be given for similar defects based on the experience and tendencies of the construction experts asked to make a judgment. For this reason, this research aims to present defect managers with a more reasonable and objective estimation criteria and a system to determine the repair cost of defects based on an analysis of relevant factors. The research findings show that the historical cost system is applied first, and then a standard of estimation is used to estimate the cost for the items that are not included in the historical cost system. The criteria for the repair cost for each defect is as follows: the repair cost for defects arising from a regulation violation is determined by calculating the reconstruction cost of the parts in question after demolishing them; the repair cost for progressive defects is determined based on a contribution ratio proportional to the age of the building; the repair cost for repetitive defects is calculated by considering an alternative to maximize the intended function of the defective parts; and the repair cost for value depreciation defects is determined based on the ratio of the warranty period to the lapsed years. However, repair cost estimation for dual value depreciation defects should be studied in future research.

• Journal of the Korea Institute of Building Construction
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• v.22 no.1
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• pp.103-114
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• 2022

In the area of construction defects, residents have a tendency to focus on visually identifiable defects, while construction companies focus on defects that affect the structural and functional integrity of apartment housing. Accordingly, construction companies and residents have conflicting views on defects in apartment housing. To address this issue, this study aimed to accurately identify the main disputes surrounding defects in multi-family housing complexes or multi-dwelling unit apartment housing caused by such sharply different perspectives and suggest improvement measures. First, standards to determine different defects and remuneration standards between the Ministry of Land, Infrastructure and Transport and the court were analyzed. Then, problems were derived through an analysis of defects in past court cases, and the differences in perspectives between construction companies and residents were identified based on defect data from various construction companies. To tackle these issues, a classification measure for establishing a defect database for multi-family homes was also proposed.