• Title/Summary/Keyword: steel model

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Deep Learning-based Material Object Recognition Research for Steel Heat Treatment Parts (딥러닝 기반 객체 인식을 통한 철계 열처리 부품의 인지에 관한 연구)

  • Hye-Jung, Park;Chang-Ha, Hwang;Sang-Gwon, Kim;Kuk-Hyun, Yeo;Sang-Woo, Seo
    • Journal of the Korean Society for Heat Treatment
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    • v.35 no.6
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    • pp.327-336
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    • 2022
  • In this study, a model for automatically recognizing several steel parts through a camera before charging materials was developed under the assumption that the temperature distribution in the pre-air atmosphere was known. For model development, datasets were collected in random environments and factories. In this study, the YOLO-v5 model, which is a YOLO model with strengths in real-time detection in the field of object detection, was used, and the disadvantages of taking a lot of time to collect images and learning models was solved through the transfer learning methods. The performance evaluation results of the derived model showed excellent performance of 0.927 based on mAP 0.5. The derived model will be applied to the model development study, which uses the model to accurately recognize the material and then match it with the temperature distribution in the atmosphere to determine whether the material layout is suitable before charging materials.

Predicting Steel Structure Product Weight Ratios using Large Language Model-Based Neural Networks (대형 언어 모델 기반 신경망을 활용한 강구조물 부재 중량비 예측)

  • Jong-Hyeok Park;Sang-Hyun Yoo;Soo-Hee Han;Kyeong-Jun Kim
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.1
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    • pp.119-126
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    • 2024
  • In building information model (BIM), it is difficult to train an artificial intelligence (AI) model due to the lack of sufficient data about individual projects in an architecture firm. In this paper, we present a methodology to correctly train an AI neural network model based on a large language model (LLM) to predict the steel structure product weight ratios in BIM. The proposed method, with the aid of the LLM, can overcome the inherent problem of limited data availability in BIM and handle a combination of natural language and numerical data. The experimental results showed that the proposed method demonstrated significantly higher accuracy than methods based on a smaller language model. The potential for effectively applying large language models in BIM is confirmed, leading to expectations of preventing building accidents and efficiently managing construction costs.

Inelastic Analysis of Steel Frame Structures with Viscoelastic Damper (점탄성 감쇠기가 설치된 철골조 건물의 비탄성 해석)

  • 김진구
    • Proceedings of the Earthquake Engineering Society of Korea Conference
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    • 2000.04a
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    • pp.186-193
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    • 2000
  • In this study the effect and applicability of viscoelastic dampers on the seismic reinforcement of steel framed structures are investigated in the context of the performance based design approach. The effect of the damper on dissipating the input seismic energy was investigated with a single degree of freedom system. For analysis models a five-story steel frame subjected to gravity load and a ten-story structure subjected to gravity and wind load were designed. the code-specified design spectrums were constructed for each soil type and performance objective and artificial ground excitation records to be used in the nonlinear time history analysis were generated based on the design spectrums. Interstory drift was adopted as the primary performance criterion. According to the analysis results both model structures turned out to satisfy the life safety performance level for most of the soil conditions except for the soft soil. It was also found that the seismic performance could be greatly enhanced by installing viscoelastic dampers on appropriate locations.

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Study on the Friction Characteristics of Advanced High Strength Steel Sheet (초고강도강판의 마찰특성에 관한 연구)

  • Kim, N.J.;Kim, S.H.;Jung, K.R.;Park, S.B.;Keum, Y.T.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2009.10a
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    • pp.250-253
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    • 2009
  • In this study, the friction test was performed to find friction characteristics of advanced high strength steel (AHSS) sheets and the multiple regression method was employed to obtain friction models. The friction coefficients associated with the lubricant viscosity, drawing speed, and blank holding pressure are measured. Differently from GA steel sheets, the effects of the lubricant viscosity and pulling speed are a little, which are explained by a theory of adhesion and wear as well as a deformation of friction surface. In addition, the effects of friction parameters are numerically represented by friction regression models.

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A study on the Interface architecture of an Integrated system for steel structure (철골구조 통합시스템의 인터페이스 구조 제시)

  • 박근운;천진호;이병해
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2000.04b
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    • pp.405-412
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    • 2000
  • This paper is the study of methodology for development of interface structure modules for an integrated system or steel framework structures. For development of the modules, it is used that data translation for the Steel Detail Neutral File(SDNF) format and the methodology have contacted individual systems in integrated system. The point of methology is translated system interface data with ASCⅡ format of system output and is presented with EXPRESS-G schema model. In the future, these neutral format will use structural design, engineering, facilities management, fabrication, etc. Therefore such a series of neutral formants is valuable to development of all structure fields.

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Behavior Factor of a Steel Box Bridge with Single Column Piers (단주교각 강박스교량의 거동계수)

  • 박준봉;김종수;국승규
    • Proceedings of the Earthquake Engineering Society of Korea Conference
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    • 2002.03a
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    • pp.228-235
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    • 2002
  • As the response spectrum method generally used in the earthquake resistant design is a linear method, the nonlinear behavior of a structure is to be reflected with a specific factor. Such factors are provided in the "Design Criteria for Roadwaybridges"as response modification factors and in the Eurocode 8, Part 2 as behavior factors. In this study a 5-span steel box bridge with single column piers is selected and the behavior factor is determined. The linear time history analyses are carried out with a simple linear model, where the nonlinear behavior of piers leading to the ductile failure mechanism is considered as predetermined characteristic curves.

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A Study on Dynamic and Static Recrystallization Behaviors and Microstructure Evolution Prediction of a Die Steel (금형강의 동적 및 정적 재결정 거동과 미세조직 변화 예측에 관한 연구)

  • 정호승;조종래;차도진;배원병
    • Transactions of Materials Processing
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    • v.10 no.4
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    • pp.338-346
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    • 2001
  • Evaluation of microstructural changes is important for process control during open die forging of heavy ingots. The control of forging parameters, such as shape of the dies, reduction, temperature and sequence of passes, is to maximize the forging effects and to minimize inhomogeneities of mechanical properties. The hot working die steel is produced by using the multistage open die forging. The structure is altered during forging by subsequent Precesses of plastic deformation, recrystallization and grain growth. A numerical analysis using an rigid visco-plastic finite element model was performed to predict microstructural evolution of hot working die steel.

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Vortex-Induced Vibration Analysis of Deep-Sea Riser (심해 라이저의 와류유기 진동해석)

  • Park, Seongjong;Kim, Bongjae
    • Journal of Ocean Engineering and Technology
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    • v.31 no.5
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    • pp.364-370
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    • 2017
  • A numerical model based on the mode superposition method is used to study the vortex-induced vibration response characteristics of a deep-sea riser such as steel catenary riser (SCR). A steel catenary riser can be modeled using a flexible cable with simple supports at both ends. The natural frequency, mode shape and mode curvature of the riser are calculated and the vortex-induced vibration response of the riser is obtained using the equilibrium of the input and output power. The mode superposition method is applied to the vibrational stresses for each mode to calculate the overall riser fatigue life.

Chip-Tool Friction and Shear Characteristics of Cold Drawn Free Machining Steels in Turning (냉각인발된 쾌삭강의 외경선삭시 칩-공구 마찰 및 전단 특성)

  • Lee, Young-Moon;Cho, Sam-Kyu;Choi, Soo-Joon;Song, Tae-Seong;Park, Tae-Joon
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.12
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    • pp.198-203
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    • 1999
  • In this study, chip-tool friction and shear characteristics of cold drawn free machining steels in turning were assessed. To do this, a newly developed equivalent oblique cutting model was adopted. And for comparison with those of free machining steels, chip-tool friction and shear characteristics of conventional carbon steels were also investigated. The Pb-S free machining steel shows superior machinability to others. In case of the Bi-S free machining steel, the shear stress and the specific friction energy are relatively lower than those of conventional carbon steels, but its shear strain is relatively high, so it does not show any remarkable improvement of machinability.

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Constructions and Applications of Digital Virtual Factory for Section-steel Shop in Shipbuilding Company (조선 형강 디지털 가상공장 구축 및 활용)

  • Han, Sang-Dong;Shin, Jong-Gye;Kim, Yu-Suk;Yoon, Tae-Hyuk;Kim, Gun-Yeon;Noh, Sang-Do
    • Korean Journal of Computational Design and Engineering
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    • v.13 no.1
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    • pp.27-35
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    • 2008
  • Digital Virtual Manufacturing is a technology facilitating effective product developments and agile productions via digital models representing the physical and logical schema and the behavior of real manufacturing systems. A digital virtual factory as a well-designed and integrated environment is essential for successful applications of this technology. In this research, we construct a sophisticated digital virtual factory for the section steel shop in a Korean shipbuilding company by 3-D CAD and virtual manufacturing simulation. The NIST-AMRF CIM hierarchical model and workflow analysis using IDEF methodology are also applied. This digital virtual factory can be applied for diverse engineering activities in design, manufacturing and control of the real factory, and improvements in quality of engineering and savings in time from design to production in shipbuilding are possible.