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중도리 유⋅무에 따른 복합지붕의 내화성능에 관한 실험적 연구
최수환(Suhwan Choi),이재승(Jaesung Lee),강경신(Kyeongsin Kang),유지선(Jisun You) 한국방재학회 2023 한국방재학회논문집 Vol.23 No.6
This study evaluates the risks of roof collapse for three types of roofs designed for 1-h fire resistance performance: a roof system with a purlin, a roof system without a purlin, and a unit roofing system without a purlin. The roof system with the purlin and the unit roofing system satisfied 1-h fire resistance performance, however, the roof system without the purlin did not. It was determined that the roof systems with and without purlin were at risk of casualties owing to the rapid increases in deformations after 30 min in the fire experimental test. The maximum deformation of the unit roofing system was larger than that of the other systems. However, because the deformation over time showed a linear behavior, the risk of collapse owing to the rapid increase in deformation was considered to be the lowest. 본 연구의 목적은 중도리 결합형 지붕과 비결합형 지붕, 중도리를 사용하지 않은 일체형 지붕의 3가지 지붕 시스템의 1시간 내화성능을 평가하여 지붕 붕괴 위험성을 평가하는 것이다. 실험결과 중도리 결합형과 일체형 지붕시스템은 1시간 내화성능을 만족하였지만, 중도리 비결합형 지붕시스템은 1시간 내화성능을 확보하지 못하였다. 중도리 결합형 및 비결합형 지붕시스템의 경우 30 min 이후 급속한 변형으로 인해 인명피해의 위험성이 증가할 것으로 평가되었다. 반면, 일체형 지붕 시스템의 최대 변형량은 상대적으로 크게 나타났지만, 시간에 따른 변형이 선형 거동을 보여 변형에 의한 붕괴 위험성은 가장 낮을 것으로 판단되었다.
OMI 구름 측정 자료들의 비교 분석과 그에 따른 오존 측정에 미치는 영향 평가
최수환(Suhwan Choi),박주선(Juseon Bak),김재환(JaeHwan Kim),백강현(KangHyun Baek) 한국기상학회 2015 대기 Vol.25 No.1
The presences of clouds significantly influence the accuracy of ozone retrievals from satellite measurements. This study focuses on the influence of clouds on Ozone Monitoring instrument (OMI) ozone profile retrieval based on an optimal estimation. There are two operational OMI cloud products; OMCLDO2, based on absorption in O₂-O₂ at 477 nm, and OMCLDRR, based on filling in Fraunhofer lines by rotational Raman scattering (RRS) at 350 nm. Firstly, we characterize differences between O₂-O₂ and RRS effective cloud pressures using MODIS cloud optical thickness (COT), and then compare ozone profile retrievals with different cloud input data. O₂-O₂ cloud pressures are significantly smaller than RRS by ~200 hPa in thin clouds, which corresponds to either low COT or cloud fraction (CF). On the other hand, the effect of Optical centroid pressure (OCP) on ozone retrievals becomes significant at high CF. Tropospheric ozone retrievals could differ by up to ± 10 DU with the different cloud inputs. The layer column ozone below 300 hPa shows the cloud-induced ozone retrieval error of more than 20%. Finally, OMI total ozone is validated with respect to Brewer ground-based total ozone. A better agreement is observed when O2-O2 cloud data are used in OMI ozone profile retrieval algorithm. This is distinctly observed at low OCP and high CF.