• Title/Summary/Keyword: Evaluation Structure

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Evaluation of Fracture Strength and Material Degradation for Weldment of High Temperature Service Steel Using Advanced Small Punch Test

  • Lee, Dong-Hwan
    • Journal of Mechanical Science and Technology
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    • v.18 no.9
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    • pp.1604-1613
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    • 2004
  • This paper presents an effective and reliable evaluation method for fracture strength and material degradation of the micro-structure of high temperature service steel weldment using advanced small punch (ASP) test developed from conventional small punch (CSP) test. For the purpose of the ASP test, a lower die with a minimized ${\Phi}$1.5 mm diameter loading ball and an optimized deformation guide hole of ${\Phi}$3 mm diameter were designed. The behaviors of fracture energy (E$\_$sp/), ductile-brittle transition temperature (DBTT) and material degradation from the ASP test showed a definite dependency on the micro-structure of weldment. Results obtained from ASP test were compared and reviewed with results from CSP test, Charpy impact test, and hardness test. The utility and reliability of the proposed ASP test were verified by investigating fracture strength, behavior of DBTT, and fracture location of each micro-structure of steel weldment for test specimen in ASP test. It was observed that the fracture toughness in the micro-structure of FL+CGHAZ and ICHAZ decreased remarkably with increasing aging time. From studies of all micro-structures, it was observed that FGHAZ microstructure has the most excellent fracture toughness, and it showed absence of material degradation.

Forces Prediction by Indirect Force Measurement and Pseudo-inverse Technique (간접 힘 측정 방법과 가상 역행렬을 이용한 힘 예측)

  • Ahn, Byoung-Ha;Shim, Jae-Sool
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.6
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    • pp.43-50
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    • 2002
  • In the design of structure, the forces acting on tai structure are key parameter fur noise and vibration control. However, in the complex structure, the forces at the injection point on the structure cannot be measured directly. So, it is necessary to find out Indirect force evaluation method. In this paper, forces have been measured with In-situ vibration responses and system information. And, three existing techniques of indirect force measurement, vita. direct inverse. principal component analysis and regularization have been compared. This paper shows that multi-vibration responses are essential for talc precise estimation of the forces. To check these conditions, rotary compressor is adopted as test sample, because it is very difficult to measure the injection forces from internal excitation to shell. It alas also been obtained that relatively higher force is transmitted through three welding paths to the compressor shell. It shows a good agreement between direct and indirect force evaluation with curvature shell and plate.

Performance Evaluation of Cascade Considering Fluid/Structure Coupling Deformation (유체/구조 연계 변형효과를 고려한 케스케이드의 성능평가)

  • Oh, Se-Won;Kim, Dong-Hyun;Kim, Yu-Sung;Park, Oung
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.05a
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    • pp.275-282
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    • 2007
  • In this study, a fluid-structure interaction (FSI) analysis system has been developed in order to evaluate the turbine cascade performance with blade structural deformation effect. Relative movement of the rotor with respect to stator is reflected by modeling independent two computational domains. To consider the deformed position of rotor airfoil, dynamic moving grid method is applied. Reynolds-averaged Navier-Stokes equations with one equation Spalart-Allmaras and two-equation SST $k-{\varepsilon}$ turbulence models are solved to predict unsteady fluid dynamic loads. A fully implicit time marching scheme based on the Newmark direct integration method with high artificial damping is used to compute the fluid-structure interaction problem. Cascade performance evaluations for different elastic axis positions are presented and compared each other. It is importantly shown that the predicted aerodynamic performance considering structural deformation effect of blade can show some deviations compared to the data generally computed from rigid blade configurations and the position of elastic axis also tend to give sensitive effect.

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The Mechanical Properties and Hand Evaluation of Bedclothes with Hollow Spun Yarn (중공사를 이용한 침장용 소재의 구조적 특성에 따른 역학적 특성 및 태분석)

  • Choi, Hyunseuk;Jang, Hyunmi;Jung, Moonkyu;Jeon, Younhee;Bae, Jihyun
    • Textile Coloration and Finishing
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    • v.31 no.4
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    • pp.298-311
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    • 2019
  • In this study, the mechanical properties and hand characteristics of the knitted and woven fabrics for bedding items are investigated in accordance with fabric structural parameters including the fiber type and proportion, the density of the fabric, and the knit/weave structure. The knit stitches and structure of the knit samples made an effect on tensile properties. The bending, shear and compression properties for the knit fabric were mainly affected by fiber contents of the samples. The tensile and bending properties of woven samples were highly correlated with the fabric density, thickness and structure, and those shear and compression properties were affected by the fiber contents and structure. Consequently, the primary hand values of the selected samples we developed were estimated to have good smoothness, fullness and softness, and soft feeling, which is well correlated to the parameters of consumer preference such as softness, warmness, and bulkiness. Also, their total hand values were increased.

Bayesian-based seismic margin assessment approach: Application to research reactor

  • Kwag, Shinyoung;Oh, Jinho;Lee, Jong-Min;Ryu, Jeong-Soo
    • Earthquakes and Structures
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    • v.12 no.6
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    • pp.653-663
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    • 2017
  • A seismic margin assessment evaluates how much margin exists for the system under beyond design basis earthquake events. Specifically, the seismic margin for the entire system is evaluated by utilizing a systems analysis based on the sub-system and component seismic fragility data. Each seismic fragility curve is obtained by using empirical, experimental, and/or numerical simulation data. The systems analysis is generally performed by employing a fault tree analysis. However, the current practice has clear limitations in that it cannot deal with the uncertainties of basic components and accommodate the newly observed data. Therefore, in this paper, we present a Bayesian-based seismic margin assessment that is conducted using seismic fragility data and fault tree analysis including Bayesian inference. This proposed approach is first applied to the pooltype nuclear research reactor system for the quantitative evaluation of the seismic margin. The results show that the applied approach can allow updating by considering the newly available data/information at any level of the fault tree, and can identify critical scenarios modified due to new information. Also, given the seismic hazard information, this approach is further extended to the real-time risk evaluation. Thus, the proposed approach can finally be expected to solve the fundamental restrictions of the current method.

Fuzzy Structure Analysis for Factors of Project Performance (프로젝트 성과요인에 대한 퍼지구조분석)

  • Hwang, Seung-Gook;Park, Young-Man;Park, Kwang-Bak
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.1
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    • pp.114-118
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    • 2012
  • The structure of layer for success factors of company project can be known by FSM which is available to recognize structure of the system. However, the relationship between the layers which belongs to the success factors of company projects can be unknown. From these viewpoints, this study is to analyze the structure of the relation between the layers contained the success factors of company projects using fuzzy system. Therefore, the relationship between lower vs middle layer and middle vs upper layer are obtained by evaluation model of company projects which has possibility and necessity of fuzzy system as fuzzy relation matrix. Using these results, fuzzy relation analysis is done and showed the usefulness.

Post-earthquake assessment of buildings using displacement and acceleration response

  • Hsu, Ting-Yu;Pham, Quang-Vinh
    • Earthquakes and Structures
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    • v.17 no.6
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    • pp.599-609
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    • 2019
  • After an earthquake, a quick seismic assessment of a structure can facilitate the recovery of operations, and consequently, improve structural resilience. Especially for facilities that play a key role in rescue or refuge efforts (e.g., hospitals and power facilities), or even economically important facilities (e.g., high-tech factories and financial centers), immediately resuming operations after disruptions resulting from an earthquake is critical. Therefore, this study proposes a prompt post-earthquake seismic evaluation method that uses displacement and acceleration measurements taken from real structural responses that resulted during an earthquake. With a prepared pre-earthquake capacity curve of a structure, the residual seismic capacity can be estimated using the residual roof drift ratio and stiffness. The proposed method was verified using a 6-story steel frame structure on a shaking table. The structure was damaged during a moderate earthquake, after which it collapsed completely during a severe earthquake. According to the experimental results, a reasonable estimation of the residual seismic capacity of structures can be performed using the proposed post-earthquake seismic evaluation method.

Evaluation of Stress Corrosion Strength According to Crystal Structure of 12Cr Alloy Steel Used Steam Turbine Blade (증기터빈 블레이드용 12Cr 합금강의 결정구조에 따른 응력부식강도 평가)

  • Kang, Yong-Ho;Bae, Dong-Ho;Song, Jung-Il
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.32 no.11
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    • pp.911-917
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    • 2008
  • It was found that more than 60% of the steam turbine blade damages occurred under the condition alternatively repeated wet and dry of vapor and condensed vapor at the lower pressure stage. And also, it has been well known that both the mechanical properties and environmental strength of the steam turbine blade can be changed by the crystal structure. However, in spite of these common facts, it is difficult to find out the quantitative results including the particular environmental condition as well as the actual service conditions. In this study, as a fundamental investigation to provide design information and reliability evaluation of the 12Cr alloy steel used for a steam turbine blade, stress corrosion strength of the 12Cr alloy steel of which its crystal structure is different was assessed under $2.5{\sim}3.5wt.%$ NaCl solution at 90oC. From the results, S-t curves for predicting damage life and design criterion of the 12Cr alloy steel including corrosion environment as well as S.C.C. condition were obtained.

High Resolution TEM Lattice Images of Modulated Structure Due to Zn Vacancy Ordering in $Ba(Zn_{1/3}Ta_{2/3})O_3$ Ceramics ($Ba(Zn_{1/3}Ta_{2/3})O_3$ 세라믹에서 Zn vacancy 규칙화에 의한 변조구조의 고분해능 TEM 영상관찰)

  • Lee, Hwack-Joo;Ryu, Hyun;Choi, Seong-Jin;Nahm, Sahn;Byun, Jae-Dong
    • Applied Microscopy
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    • v.28 no.1
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    • pp.121-126
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    • 1998
  • Detailed studies of high resolution TEM inages on the modulated structure caused by Zn vacancy ordering along [110] direction in BZT sintered at $1400^{\circ}C$ for 90 hours had revealed that the images which had hexagonal patterns were similar to those obtained from the structure which had no modulation, These images had appeared over the wide ranges from -30 nm to -42 nm in defocus values and from 2 nm to 20 nm in thickness. The computer simulated images showed that the modulation due to Zn vacancy ordering had made a small change in contrast in the interior of hexagonal pattern, which was very difficult to differenciate in experiments. The image which demonstrated the modulated structure very well was the one which obtained at -52 nm in defocus value and 16 nm in thickness.

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Deep learning of sweep signal for damage detection on the surface of concrete

  • Gao Shanga;Jun Chen
    • Computers and Concrete
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    • v.32 no.5
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    • pp.475-486
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    • 2023
  • Nondestructive evaluation (NDE) is an important task of civil engineering structure monitoring and inspection, but minor damage such as small cracks in local structure is difficult to observe. If cracks continued expansion may cause partial or even overall damage to the structure. Therefore, monitoring and detecting the structure in the early stage of crack propagation is important. The crack detection technology based on machine vision has been widely studied, but there are still some problems such as bad recognition effect for small cracks. In this paper, we proposed a deep learning method based on sweep signals to evaluate concrete surface crack with a width less than 1 mm. Two convolutional neural networks (CNNs) are used to analyze the one-dimensional (1D) frequency sweep signal and the two-dimensional (2D) time-frequency image, respectively, and the probability value of average damage (ADPV) is proposed to evaluate the minor damage of structural. Finally, we use the standard deviation of energy ratio change (ERVSD) and infrared thermography (IRT) to compare with ADPV to verify the effectiveness of the method proposed in this paper. The experiment results show that the method proposed in this paper can effectively predict whether the concrete surface is damaged and the severity of damage.