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12m × 3m 스틸 모듈러 시스템의 보-중간기둥 접합부 구조성능
심성철,이상현,조봉호,우성식,최문식 한국강구조학회 2008 韓國鋼構造學會 論文集 Vol.20 No.6
최근 들어 군막사 및 학교건축물의 증축 등 공사기간의 최소화가 가장 중요시 되는 건설프로젝트에 모듈러 시스템이 적용되고 있다. 기존 모듈러 시스템의 표준모듈은 6m × 3m로 모듈간 접합부에 기둥이 자주 중복되어 부재수와 벽체두께가 증가한다는 문제점을 가지고 있다. 본 연구에서는 이러한 문제점을 해결하기 위하여 12m × 3m 모듈을 제안하였다. 이 모듈을 실현하기 위해 필수적인 다양한 중간기둥-보 접합상세를 제안하였으며, 실험과 해석을 통해 기둥-보 접합부의 최대하중과 파괴모드를 평가하였다. 해석 및 실험결과는 유한요소해석을 통해 비교적 정확히 접합부의 최대하중과 파괴모드를 예측할 수 있음을 보여준다. 제안된 상세 중 일부는 기둥의 설계하중을 상회하는 강도를 보유하고 있어, 12m × 3m 모듈의 보-중간기둥 접합상세로 사용할 수 있을 것으로 판단된다. Recently, steel modular systems are developed and have been applied to the projects requiring fast construction such as military barracks and vertical expansion of school buildings. The existing modular system with standard module of 6m × 3m has a problem that many columns are duplicated in the module connection and the wall thickness increases. In this study, 12m × 3m module is proposed to solve this problem. Various types of beam-middle column connection which are essential for realizing the 12m × 3m module are proposed and their maximum load capacity and failure mode are analytically and experimentally evaluated. The comparison between analytical and experimental results shows that the maximum axial load and failure mode can be accurately estimated by finite element analysis. Some connection types which have higher failure load than the design load of the column, can be used as the beam-middle column connection detail of the 12m × 3m module.
심성철,Nam Ngoc Nguyen,Nahui Kim,김준엽,박영훈 한국원예학회 2018 Horticulture, Environment, and Biotechnology Vol.59 No.2
The decreasing costs associated with next generation sequencing and related bioinformatics computing resources have facilitated the large-scale discovery of single nucleotide polymorphisms (SNPs) in crop species. In this study, the genomes of the two melon varieties CM-P01 (orange-fleshed) and MM-P02 (green-fleshed) were resequenced to identify genome-wide SNPs. A total of 2.0 Gb (CM-P01) and 1.5 Gb (MM-P02) quality-filtered sequences were generated that corresponded to 9.6× and 7.2× genome coverage, respectively, relative to the melon reference genome. By comparing these sequences, we detected 534,477 SNPs between the two varieties across the genome. The number of SNPs per chromosome ranged from 30,337 (chromosome 8) to 60,832 (chromosome 1). Of these, 15,674 SNPs were identified in predicted coding sequences, of which 8057 were synonymous and 7617 were non-synonymous. Analysis of Gene Ontology associations demonstrated that the non-synonymous SNPs were present in genes encoding various molecular functions. A subset of 97 non-synonymous SNPs was randomly selected for validation via high-resolution melting analysis. Of these, 84 SNPs (86.6%) were validated using a collection of 18 varieties, including CM-P01 and MM-P02. For these SNPs, the estimates of polymorphic information content (PIC) ranged from 0.18 to 0.38 and 62 SNPs (73.8%) showed more than 0.30 of PIC. The orange-fleshed varieties were separated from the green-fleshed varieties in our collection using the 84 SNPs. These SNPs will be a useful resource for the genetic dissection of loci that are responsible for fruit-related traits, including flesh color in melon.
DNA Profiling of Commercial Pumpkin Cultivars Using Simple Sequence Repeat Polymorphisms
심성철,홍지화,권용삼 한국원예학회 2015 Horticulture, Environment, and Biotechnology Vol.56 No.6
Pumpkin (Cucurbita spp.) is a major vegetable crop grown worldwide. Three species, C. pepo, C. moschata, and C. maxima, are economically important cultivated pumpkins. To develop a core set of markers for DNA profiling and cultivar identification, we used a total of 300 SSRs consisting of 158 CMTp and 142 CMTm that were previously identified in C. pepo and C. moshata, respectively. Polymorphisms in these primers were tested using a subset of 22 cultivars selected from a collection of 160 commercial cultivars. A total of 12 CMTp and 28 CMTm markers were selected based on polymorphism and number of alleles, and these 40 markers were used to genotype all 160 cultivars. Of these, 29 markers (5 CMTp and 24 CMTm) accurately detected a total of 215 alleles with an average of 7.41 alleles per marker in our collection of pumpkin cultivars. Their PIC values ranged from 0.327 to 0.894 with an average of 0.674. Analysis of genetic similarity using the 29 SSR markers revealed that the 160 cultivars were divided into five major clusters representing C. maxima×C. moshata hybrids (cluster I), C. moshata (cluster II), C. maxima (cluster III), C. pepo (cluster IV), and C. ficifolia (cluster V). In clusters I-IV, the cultivars were further separated into 2-3 sub-clusters. In addition, we found that 29 SSR markers were able to differentiate all 160 cultivars. Results from our study will facilitate genetic study and protection of breeders’ intellectual property rights in pumpkins.