논문 상세보기

Uncertainty Analysis for Mold Growth Risk Evaluation in Buildings

  • 언어ENG
  • URLhttps://db.koreascholar.com/Article/Detail/268435
구독 기관 인증 시 무료 이용이 가능합니다. 4,000원
리모델링 연구소 (A Journal of the Seismic Retrofitting & Remodeling Research Center)
단국대학교 리모델링연구소 (Seismic Retrofitting & Remodeling Research Center)
초록

The paper presents a new approach for analyzing mold growth risk in buildings, based on a mixed simulation approach with consideration of uncertainties in relevant building parameters. The approach is capable to predict and explain unexpected mold growth occurrences that would typically not show up in standard deterministic simulation. This study simulates the local environmental conditions at material surfaces in buildings by using a mix of standard simulation tools. By introducing uncertainties in relevant input parameters, this approach generates a statistical distribution of time aggregated mold growth conditions at a number of "trouble spots"in a specific building case. This distribution is then translated into an overall mold risk indicator. In addition, our method identifies those parameters whose uncertainty range has a dominant effect on an increase in mold risk. By thus identifying the critical influence of building components, building operation and maintenance factors on the increase in risk, appropriate actions during the building design and procurement process can be set up to address these risks.

저자
  • Moon, Hyeun-Jun(Dankook University) Corresponding author
  • Godfried Augenbroe(College of Architecture, Georgia Institute of Technology)