• Title/Summary/Keyword: 맞춤 및 장부

Search Result 3, Processing Time 0.019 seconds

Structural Performance of Beam-to-Column Joint Types in Dapo-style Buildings of the Joseon Dynasty (조선시대 다포계 건축물의 결구형태별 구조성능 평가)

  • Yoon, Jeong-Hoon;Choi, Yun-Chul;Lee, Eun-Jin
    • Journal of the Korea institute for structural maintenance and inspection
    • /
    • v.23 no.4
    • /
    • pp.8-14
    • /
    • 2019
  • In Korean traditional wooden architecture, joint performance varies with the material characteristics of timber, the form of joint, the precision of timber-trimming and the like. Case studies prove that the beam-to-column joint type has large influence on the degrees of deformation and spacing. This is not only true of single-story buildings, but also of large-scale multi-story buildings more apparently. Therefore, this study followed the process of examining to joint types, producing their specimens and testing their structural performance. As a consequence of structural test, the dovetail joint specimen showed the best outcomes of the maximum load and rigidity. Synthesizing the structural performances by respective forms of joints, the Doraegeoji dovetail joint specimen showed the higher performance, followed in order by the Doraegeoji mortise joint specimen and the Tongneoko dovetail joint specimen. The structural performance of a building varies with the characteristics by the shouldering forms of penetrating beams and with the joint types within the columns. This should be considered for the new construction or restoration of multi-story buildings, and be continuously researched henceforth.

Tensile Performance of Machine-Cut Dovetail Joint with Larch Glulam (낙엽송집성재를 이용한 기계프리커트 주먹장접합부의 인장성능)

  • Park, Joo-Saeng;Hwang, Kweon-Hwan;Park, Moon-Jae;Shim, Kug-Bo
    • Journal of the Korean Wood Science and Technology
    • /
    • v.38 no.3
    • /
    • pp.199-204
    • /
    • 2010
  • Members used for the Korean traditional joints have been processed by handicraft, especially with domestic red pine species. Dovetail joint is most commonly used in woodworking joinery and traditional horizontal and vertical connections. It is able to be processed much easier to cut by handicraft and machines. However, although it is processed straight forwards, it requires a high degree of accuracy to ensure a snug fit. Also, tenons and mortises must fit together with no gap between them so that the joint interlocks tightly. A few scientific studies on the dovetail joints have been conducted so far. For the effective applications of traditional joints and domestic plantation wood species, dovetail joints were assembled by larch glulam members processed by machine pre-cut. To identify the tensile properties of through dovetail joints, larch glulam with 150 150mm in cross section were prepared. Furthermore, various geometric parameters of dovetai joints such as width, length, and tenon angle, were surveyed. The ends in the mortise was cracked mainly at a low strength level in the control specimens without reinforcements. The maximum tensile strengths of reinforced specimens considering real connections such as capital joint and headpiece on a column, increasedby handicraft, especially with domestic red pine species. Dovetail joint is most commonly used in woodworking joinery and traditional horizontal and vertical connections. It is able to be processed much easier to cut by handicraft and machines. However, although it is processed straight forwards, it requires a high degree of accuracy to ensure a snug fit. Also, tenons and mortises must fit together with no gap between them so that the joint interlocks tightly. A few scientific studies on the dovetail joints have been conducted so far. For the effective applications of traditional joints and domestic plantation wood species, dovetail joints were assembled by larch glulam members processed by machine pre-cut. To identify the tensile properties of through dovetail joints, larch glulam with 150 150mm in cross section were prepared. Furthermore, various geometric parameters of dovetai joints such as width, length, and tenon angle, were surveyed. The ends in the mortise was cracked mainly at a low strength level in the control specimens without reinforcements. The maximum tensile strengths of reinforced specimens considering real connections such as capital joint and headpiece on a column, increased by two times with shear failures on the tenon than the control specimens. The maximum tensile strength was obtained in the specimen of 25 degrees, and no difference was observed in the changes of neck widths.

Prediction of Mechanical Properties of Mortise and Tenon Lattice Structures by Fused Deposition Modeling Using Artificial Neural Network (인공신경망을 이용한 융합증착 모델링에 의한 모티스와 테논 격자구조물의 역학적 특성 예측)

  • Li Bin;Byung-Won Min
    • Journal of Internet of Things and Convergence
    • /
    • v.10 no.5
    • /
    • pp.105-112
    • /
    • 2024
  • High strength, lightweight lattice structures are gaining increasing attention in aerospace, automotive, and other fields. Fused deposition modeling (FDM) is a widely used additive manufacturing technique that has significant advantages in the fabrication of lattice structures. However, deposition of inter layers phenomenon affects the mechanical properties of the FDM formed lattice structure, and it is difficult to establish the relationship between the parameters of the lattice structure and the mechanical properties. In this paper, FDM technology was used to prepare 23 groups of mortise and tenon lattice structures (MTLS) with different angles 𝜃, height h and thickness t, and quasi-static compression tests were carried out on them. Artificial neural network (ANN) was used to establish a prediction model of specific energy absorption (SEA) of lattice structures, and the accuracy of the prediction model was verified by experiments. The results show that the SEA of MTLS decreases with increasing 𝜃. With the increase of t and the decrease of h, SEA first increases and then decreases. The SEA values predicted by the ANN with "3-7-1" structure are in good agreement with the experimental values. The ANN tool are validated and can be a favourable tool for lattice energy prediction with available data.