DOI QR코드

DOI QR Code

A Study on Analysis of Defect Types and Measures for Reduction of Tile Construction for Apartment Houses

공동주택 타일공사의 하자 유형 분석 및 저감 대책에 관한 연구

  • Park, Hyun Jung (Department of Architectural Engineering, Silla University) ;
  • Eom, Yong Been (Department of Architectural Engineering, Pusan National University) ;
  • Jeong, U Jin (Department of Architectural Engineering, Pusan National University) ;
  • Kim, Dae Young (Department of Architectural Engineering, Pusan National University)
  • Received : 2021.11.23
  • Accepted : 2021.12.03
  • Published : 2021.12.20

Abstract

As the domestic housing supply problem has been resolved, the apartment construction market has shifted to a consumer-oriented market that wants high quality, and in particular, expectations in the area of finishing quality have increased. Looking at the status of complaints regarding apartment housing defects supplied by Korea Land and Housing Corporation, tile-related complaints are the type occurring the most frequently. While the Ministry of Land, Infrastructure and Transport(MOLIT) is making an ongoing effort to reduce complaints related to defects, through approaches such as drafting amendments to 「Investigation of defects in apartment houses, calculation of repair costs, and standards for determining defects」, the provision of preventive measures has been insufficient. In addition, by reviewing studies, there has been insufficient research to construct a classification system after deriving the characteristics of each type using the qualitative knowledge of experts, various quantitative indicators, and suggesting measures for reduction according to the causes of each type. Therefore, this study will reflect qualitative indicators to use the AHP analysis that makes it easy to identify the relationship between defects by surveying construction experts. Then, by visualizing the weight of 'Possibility of recurrence after repair,' 'Degree of difficulty in repairing defects' and 'Fault frequency' using a radial graph, we will analyze the characteristics of each type of tile construction defect and establish measures for reduction according to the cause. This will improve the quality of the living environment and contribute to the establishment of a system for smooth defect management and reduction of defects in apartment tile construction.

국내의 주택 부족 문제가 해소되면서 공동주택 건설시장이 고품질을 원하는 소비자 위주의 시장으로 변화되었고, 마감 품질에 대한 기대가 높아졌다. 한국토지주택공사가 공급한 공동주택의 하자 민원 발생 접수 현황에 따르면, 타일 관련 민원이 가장 많이 발생하였다. 이와 관련된 하자 민원을 줄이기 위해 국토교통부에서는 「공동주택 하자의 조사, 보수 비용 산정 및 하자판정기준」 개정안을 입안하는 등 지속적인 노력을 하고 있으나, 예방적 처리 방안에 대한 마련은 미흡한 실정이었다. 또한, 국내·외 선행연구를 살펴보며 전문가의 정성적 지식이 반영된 타일공사 하자 유형 특징을 도출한 후 분류 체계를 구성하고, 유형별 원인에 따른 대책을 제시하는 연구가 부족하였다. 따라서 본 연구는 정성적 지식을 반영할 수 있으며 다양한 지표와 하자 유형 간 관계 파악이 용이한 AHP 분석 기법을 활용해 건설 전문가에게 설문조사를 실시한 후, 도출된 두 가지 정성적 지표인 '하자 보수 후 재발 가능성', '하자 보수의 어려움 정도'의 가중치와 정량적 지표인 '하자 발생빈도'를 방사형 그래프로 시각화하여 타일공사 하자 유형의 특징을 분석하고 원인에 따른 저감 대책을 수립한다. 이는 거주환경의 품질을 높일 뿐만 아니라 공동주택 타일공사의 원활한 하자 관리를 위한 시스템 구축 및 공동주택 타일공사 하자 저감에 기여할 것이다.

Keywords

Acknowledgement

This study was conducted with the support of the Korea Research Foundation and funded by the Ministry of Science and Technology Information and Communication in 2019(No. NRF-2019R1F1A1060246).

References

  1. Woo YS. The exploratory study on the state-of-the-art and policy strategy of ubuquitous housing development in korea. Korean Association For Housing Policy Studies. 2005 Jun;13(2):53-77.
  2. Lee WS. A study on application of TACT technique for finish works in apartment buildings [master's thesis]. Yongin (Korea): Kyung Hee University; 2011.67 p.
  3. Kim JH, Go SS. Evaluation of defective risk for the finishing work of apartment house. Korea Institute of Construction Engineering and Management. 2012 Nov;13(6):63-70. http://dx.doi.org/10.6106/KJCEM.2012.13.6.063
  4. Song G. An analysis and preventive measures on the defect causes of interior finishing works to new apartment building [master's thesis]. Seoul (Korea): Chung-Ang University; 2013. 116 p.
  5. Hankyung [Internet]. Seoul (Korea): Newspaper; c2009-2021 [updated 2020 Oct 08; cited 2021 Sept 03]. Available from: https://www.hankyung.com/realestate/article/202010087767i
  6. Investigation of defects in apartment houses, calculation of repair costs and standards for determining defects [Internet]. Sejong (Korea): Ministry of Land, Infrastructure and Transport. 2008 - [updated 2020 Nov 30; cited 2021 October 5]. Available from: https://www.law.go.kr/
  7. Lee HR, Cho DH, Park SH, Koo KJ. Nexus based quality inspection support model for defect prevention of architectural finishing works. Korea Journal of Construction Engineering and Management. 2017 Sep;18(5):59-67. http://dx.doi.org/10.6106/KJCEM.2017.18.5.059
  8. Lee KL, Seo DS. Study on the defects of finishing works of apartment houses during warranty liability period and its correlation. Journal of the Korea Institute of Building Construction. 2017 Aug;17(4):385-91. https://doi.org/10.5345/JKIBC.2017.17.4.385
  9. Baek HY. Selection of primary management objects for defect prevention of office building finishing work [master's thesis]. Mokpo (Korea): Mokpo National University; 2020. 96 p.
  10. Lee YO. A story on cause and improvement of side-failure of ceramic tile [master's thesis]. Daejeon (Korea): Hanbat National University; 2015. 64 p.
  11. Lee SY. Evaluation of tile adhesive characteristics by injection of bisphenol epoxy resin [dissertation]. Daejeon (Korea): Chungnam National University; 2020. 115 p.
  12. Hwang YS, Ki TK, Han DY, Noh SK. Sensory evaluation of quality and constructability of cement mortar for tile direct setting method depending on mix proportions. Journal of the Korea Institute of Building Construction. 2021 Feb;21(1):11-9. https://doi.org/10.5345/JKIBC.2021.21.1.011
  13. Aljassmi HA. Analysis of complex mechanisms of defect generation in construction projects [dissertation]. Sydney (Australia): University of New South Wales; 2013.188 p.
  14. Tayeh BA, Maqsoom A, Aisheh YIA, Almanassra M, Salahuddin H, Qureshi MI. Factors affecting defects occurrence in the construction stage of residential buildings in Gaza Strip. SN Applied Sciences. 2020 Jan;2(167):1-12. https://doi.org/10.1007/s42452-020-1959-1
  15. Fan CL. Data mining model for predicting the quality level and classification of construction projects. Journal of Intelligent & Fuzzy Systems. 2021 Jul;Pre-press:1-15. https://doi.org/10.3233/JIFS-219182