• 대한기계학회논문집
• /
• 제16권9호
• /
• pp.1669-1680
• /
• 1992

본 연구에서는 볼 엔드밀 가공에서 공구계의 처짐을 고려한 절삭력과 처짐을 예측하고, 처짐의 예측으로 가공 정밀도를 향상시키는 이송 속도와 헬릭스 각의 선정 에 대해서 고찰한다.

• 한국유체기계학회 논문집
• /
• 제20권2호
• /
• pp.63-68
• /
• 2017

This paper predicts the rotordynamic force coefficients of tilting pad journal bearings (TPJBs) with ball-socket pivot and compares the predictions to the published test data obtained under load-between-pad (LBP) configuration. The present TPJB model considers the pivot stiffness calculated based on the Hertzian contact stress theory. Due to the compliance of the pivot, the predicted journal eccentricity agree well with the measured journal center trajectory for increasing static loads, while the early prediction without pivot model consideration underestimates it largely. The predicted pressure profile shows the significant pressure development even on the unloaded pads along the direction opposite to the loading direction. The predicted stiffness coefficients increase as the static load and the rotor speed increase. They agree excellently with test data from open literature. The predicted damping coefficients increase as the static load increases and the rotor speed decreases. The prediction underestimates the test data slightly. In general, the current predictive model including the pivot stiffness improves the accuracy of the rotordynamic performance predictions when compared to the previously published predictions.

• 한국강구조학회 논문집
• /
• 제19권2호
• /
• pp.201-210
• /
• 2007

더블앵글 접합부는 충분한 강성 및 강도를 갖추어 작용하중을 잘 지탱할 수 있도록 설계되어야 한다. 따라서 구조설계자는 더블앵글 접합부의 강성 및 강도에 영향을 미치는 여러 변수들을 파악하여 접합부 설계에 반영하여야 한다. 본 연구는 볼트 게이지 거리 및 볼트 개수 등의 변수가 축방향 인장력을 받는 더블앵글 접합부의 강성 및 강도에 미치는 영향을 파악하기 위하여 진행하였다. 이를 위하여 6개의 접합부 시험체를 제작하여 접합부 실험을 수행하였고, 접합부의 하중-변위 관계 곡선을 획득하였다. 또한, 접합부 실험결과를 바탕으로 축방향 인장력을 받는 더블앵글 접합부의 초기강성 및 설계하중을 예측할 수 있는 해석모델도 제안하였다. 이러한 접합부 강성 및 강도 예측모델은 지렛대 작용 효과의 영향도 고려하여 제안되었다.

• 동서간호학연구지
• /
• 제11권1호
• /
• pp.42-50
• /
• 2005

Purpose: The purpose this research was to provide with basic data in the control of the fatiguer found in the patients with fibromyalgia by analysing the factors that predict that. Method: At three university medical center, appointed 245 out-patients diagnosed of fibromyalgia according to the conditions by American College of Rheumatology (1990). The research instruments used in this study were graphic rating scale(Anxiety, sleep disturbance, pain, joint stiffness and depression), physical activity, the number of tender points, life satisfaction and Self-efficacy scale. In data analysis, SPSS 12.0 program was utilized and data were analyzed using descriptive statistics, Pearson's correlation coefficient and multiple regression. Result: The factors that predict the fatigue of patients with fibromyalgia were sleep disturbance, life satisfaction, pain, joint stiffness, illness duration, and anxiety which explained 50.1% of the fatigue. Conclusion: It has been confirmed that the regression equation model of this research may serve as a fatigue prediction factors in patients with fibromyalgia.

• Tribology and Lubricants
• /
• 제24권6호
• /
• pp.291-296
• /
• 2008

In order to improve the leakage prediction and rotordynamic analysis of an annular seal with a smooth rotor and circumferentially grooved stator, CFD analysis using FLUENT has been performed to determine the groove penetration angle a which is the angle of separation line between control volumes II and III in groove section of Ha and Lee's three-control-volume theory. Validation to the present analysis using new penetration angle determined by the CFD analysis is achieved by comparisons with the results of published Ha and Lee's analysis. For the leakage prediction the present analysis shows slight improvement and CFD results yields the best. Direct damping and cross-coupled stiffness coefficients are predicted better to the experimental ones. However, direct stiffness coefficient is predicted worse.

• Steel and Composite Structures
• /
• 제36권5호
• /
• pp.493-506
• /
• 2020

The load-slip relationship of the shear connection is an important parameter in design and analysis of composite structures. In this paper, a load-slip curve prediction method of the shear connection based on the artificial neural networks (ANNs) is proposed. The factors which are significantly related to the structural and deformation performance of the connection are selected, and the shear stiffness of shear connections and the transverse coordinate slip value of the load-slip curve are taken as the input parameters of the network. Load values corresponding to the slip values are used as the output parameter. A twolayer hidden layer network with 15 nodes and 10 nodes is designed. The test data of two different forms of shear connections, the stud shear connection and the perforated shear connection with flange heads, are collected from the previous literatures, and the data of six specimens are selected as the two prediction data sets, while the data of other specimens are used to train the neural networks. Two trained networks are used to predict the load-slip curves of their corresponding prediction data sets, and the ratio method is used to study the proximity between the prediction loads and the test loads. Results show that the load-slip curves predicted by the networks agree well with the test curves.

• 한국콘크리트학회:학술대회논문집
• /
• 한국콘크리트학회 1991년도 가을 학술발표회 논문집
• /
• pp.51-58
• /
• 1991

In staically indeterminate structures torsional stiffness is an important factor for prediction of mechanical behavior at all loading stages in reinfored concrete beams, which also for calculation of torsional moment. This paper proposes equation for postcracking torsional stiffness of reinforced concrete beams under pure torsion, which is derived considering the equilibrium and compatibility condition for shear panel based on the variable angle space truss model. The equation describes well the effect according to the variation of aspect ratio and steel volume ratio per unit concrete volume. It agress with experimental results in this paper as well as available literature.

• 한국기계가공학회지
• /
• 제18권11호
• /
• pp.57-62
• /
• 2019

This paper describes the prediction of eigenfrequencies due to changes in stiffness and mass in the connection area of the lap joint beam in terms of linear and torsional stiffness as well as connection length. The sensitivities of mass and stiffness in the finite element model were derived by using the first-order differential and algebraic equation and were thereafter applied to obtain new natural frequencies that were compared with theoretical exact solutions. Newly predicted natural frequencies due to only a change in stiffness were in relatively good agreement with those in lower modes for rigid joints, while further investigation was needed for flexible joints. On the other hand, only the change in mass resulted in a large discrepancy in the flexible joint case. It may be strongly anticipated that this study will provide a useful tool for estimating modal parameters by change in any design variable, such as the structural dimension, material property, or connection type for a large-scale structure, even though the proposed methodology is currently limited to a jointed beam.

• Smart Structures and Systems
• /
• 제24권3호
• /
• pp.361-377
• /
• 2019

The stiffness of shape memory alloy (SMA) spring while in actuation is represented by an empirical model that is derived from the logistic differential equation. This model correlates the stiffness to the alloy temperature and the functionality of SMA spring as active variable stiffness actuator (VSA) is analyzed based on factors that are the input conditions (activation current, duty cycle and excitation frequency) and operating conditions (pre-stress and mechanical connection). The model parameters are estimated by adopting the nonlinear least square method, henceforth, the model is validated experimentally. The average correlation factor of 0.95 between the model response and experimental results validates the proposed model. In furtherance, the justification is augmented from the comparison with existing stiffness models (logistic curve model and polynomial model). The important distinction from several observations regarding the comparison of the model prediction with the experimental states that it is more superior, flexible and adaptable than the existing. The nature of stiffness variation in the SMA spring is assessed also from the Dynamic Mechanical Thermal Analysis (DMTA), which as well proves the proposal. This model advances the ability to use SMA integrated mechanism for enhanced variable stiffness actuation. The investigation proves that the stiffness of SMA spring may be altered under controlled conditions.

• Structural Engineering and Mechanics
• /
• 제31권2호
• /
• pp.163-180
• /
• 2009

In the design of tall reinforced concrete (R/C) buildings, the serviceability stiffness criteria in terms of maximum lateral displacement and inter-story drift must be satisfied to prevent large second-order P-delta effects. To accurately assess the lateral deflection and stiffness of tall R/C structures, cracked members in these structures need to be identified and their effective member flexural stiffness determined. In addition, the implementation of the geometric nonlinearity in the analysis can be significant for an accurate prediction of lateral deflection of the structure, particularly in the case of tall R/C building under lateral loading. It can therefore be important to consider the cracking effect together with the geometric nonlinearity in the analysis in order to obtain more accurate results. In the present study, a computer program based on the iterative procedure has been developed for the three dimensional analysis of reinforced concrete frames with cracked beam and column elements. Probability-based effective stiffness model is used for the effective flexural stiffness of a cracked member. In the analysis, the geometric nonlinearity due to the interaction of axial force and bending moment and the displacements of joints are also taken into account. The analytical procedure has been demonstrated through the application of R/C frame examples in which its accuracy and efficiency in comparison with experimental and other analytical results are verified. The effectiveness of the analytical procedure is also illustrated through a practical four story R/C frame example. The iterative procedure provides equally good and consistent prediction of lateral deflection and effective flexural member stiffness. The proposed analytical procedure is efficient from the viewpoints of computational effort and convergence rate.