• 제목/요약/키워드: Yielding curve

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전단력과 축하중을 받는 강판 콘크리트(SC) 벽체에서 스터드의 형상과 배치간격의 설계를 위한 해석적 연구 (Analytical Study for Design of Shape and Arrangement Spacing of Studs in Steel Plate Concrete(SC) Wall subjected to Shear and Axial Forces)

  • 조성국;임진선;정영도;이성태
    • 한국구조물진단유지관리공학회 논문집
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    • 제18권4호
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    • pp.67-76
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    • 2014
  • 이 연구에서는 SC 전단벽의 전단 연결재인 스터드의 배치와 형상이 SC 전단벽의 거동에 미치는 영향을 살펴보기 위해 전단벽체가 전단력과 축하중을 받을 때의 거동을 해석적으로 검토하였다. 이를 위해 서로 다른 형상과 배열의 스터드가 배열된 SC 전단벽을 대상으로 유한요소해석을 수행하였다. 스터드의 간격이 과하게 떨어져 있을 경우 합성거동이 완벽하게 작용하지 못하며 강판이 설계곡선의 2차 항복 전단력 보다 적은 하중에서 항복함을 확인하였다. 스터드의 형상은 일반형 스터드뿐만 아니라 개선된 경사형 스터드도 전단거동에 큰 차이를 나타내지 않았고, 스터드의 간격이 합성거동에 영향을 미침을 확인하였다. 또한 이 연구를 통하여 경사형 스터드가 일반형 스터드에 비해 좌굴을 제어하는데 효과가 있음을 확인하였다.

손상원통부재(損傷圓筒部材)의 최종강도(最終强度) 해석(解析)에 관한 연구(硏究) (A Study on the Ultimate Strength Analysis of Damaged Tubular Members)

  • 백점기;신병천
    • 대한조선학회지
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    • 제27권1호
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    • pp.24-34
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    • 1990
  • 본 연구에서는 축력과 굽힘모멘트의 조합하중(組合荷重)을 받는 손상원통부재의 최종강도(最終强度)를 해석하기위하여 간이유한요소해석이론을 정식화한다. 여기서, 굽힘 및 국부손상이 존재하는 원통부재(圓筒部材)를 보요소로 모델링하며, 각요소의 접선탄성강성행렬(接線彈性剛性行列)은 기하학적 비선형 효과를 고려하여 updated Lagrangian 기법에 의하여 도출한다. 이때, 국부손상부위의 강성이 외력에 대한 저항에 기여하는 정도는 비교적 작다고 생각되므로 요소의 강성평가시에 국부손상부위의 강성은 무시한다. 요소의 소성화는 국부손상부위의 영향을 고려한 전단면(全斷面) 소성강도(塑性强度) 상관관계식을 적용하여 요소의 각절점에서 판정하며, 접선(接線) 탄소성(彈塑性) 강성행렬(剛性行列)은 소성절점법(塑性節點法)에 의하여 계산한다. 마지막으로 본 연구에서 정식화한 해석법을 바탕으로 컴퓨터프로그램을 작성하고 실험 등에 의하여 얻어진 기존의 결과에 대해 재해석하여 본해석법의 정도와 유용성을 확인한다.

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증분동적해석을 이용한 철골모멘트골조의 지진취약도 함수 (Seismic Fragility Functions for Steel Moment Resisting Frames using Incremental Dynamic Analyses)

  • 이승원;이원호;김형준
    • 한국전산구조공학회논문집
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    • 제27권6호
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    • pp.509-516
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    • 2014
  • 일반적으로 지진취약도를 평가할 때 사용되는 해석방법 중 하나인 역량스펙트럼 방법은 증분동적해석에 비해 해석의 정확성이 떨어지는 제한점이 있다. 본 연구에서는 증분동적해석이 가장 정확도가 높은 해석기법이라는 점에 착안하여 증분동적해석을 이용한 지진취약도 곡선의 도출과정을 제안하였다. 타당성 비교를 위하여 역량스펙트럼 방법과 제안된 방법으로 도출한 취약도 곡선을 비교하여 두 해석기법에 의한 지진취약도 곡선의 경향을 분석하였다. 그 결과 Slight damage와 Moderate damage의 경우 두 해석방법이 유사한 곡선 경향을 보이나 Extensive damage와 Complete damage의 경우에는 IDA방법에 의한 곡선이 더 가파른 경향을 보였다. 이는 구조물의 거동을 이상화하여 극한점 이후 구조물의 저항 강도가 떨어지지 않는다고 가정하는 역량스펙트럼 방법의 영향을 받는 것으로 사료된다.

생체 시료 중 아세틸콜린 및 콜린에 대한 효소-분광학적 정량분석 (Enzymatic Spectrophotometric Determinations of Acetylcholine and Choline in the Biological Samples)

  • 남명화;이성호;김기택;한영희
    • 약학회지
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    • 제56권4호
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    • pp.222-229
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    • 2012
  • In order to determine acetylcholine and choline in the biological samples, the specific enzymes of acetylcholinesterase (AChE) and choline oxidase (ChO), which utilize acetylcholine and choline as substrates, were employed to convert substrates to $H_2O_2$. The produced $H_2O_2$ was coupled to 4-aminoantipyrine/phenol with peroxidase (PO) yielding quinoneimine dye which was measured at 508 nm. In the present enzymatic spectrophotometric analysis the product at the equilibrium state was measured considering accuracy, precision, time and cost of the analysis. The developed analytical method yielded good linearity (calibration curve; $A_{508}$=9534[acetylcholine]+0.009, correlation coefficient ($R^2$); 0.999) with detection limit of $1.11{\times}10^{-7}M$, reasonable precision (relative standard deviation; 0.10~1.62% at $2.5{\times}10^{-6}M{\sim}1.25{\times}10^{-4}M$) and accuracy (relative error; -0.24~0.97% at $4.13{\times}10^{-6}M{\sim}1.01{\times}10^{-4}M$) for acetylcholine chloride standard solution. The concentrations of acetylcholine and choline in human serum were found as $3.20{\times}10^{-5}M$ and $1.14{\times}10^{-4}M$, respectively. The brain tissues of Sprague-Dawley strain rat contained 9.82${\mu}g/g$ of acetylcholine and 6.53 ${\mu}g/g$ of choline in the cerebrum, while 7.37 ${\mu}g/g$ of acetylcholine and 5.34 ${\mu}g/g$ of choline in the cerebellum.

Applications of Hilbert-Huang transform to structural damage detection

  • Chiou, Dung-Jiang;Hsu, Wen-Ko;Chen, Cheng-Wu;Hsieh, Chih-Min;Tang, Jhy-Pyng;Chiang, Wei-Ling
    • Structural Engineering and Mechanics
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    • 제39권1호
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    • pp.1-20
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    • 2011
  • This study investigates the feasibility of detecting structural damage using the HHT method. A damage detection index, the ratio of bandwidth (RB) is proposed. This index is highly correlated or approximately equal to the change of equivalent damping ratio for an intact structure incurring damage from strong ground motions. Based on an analysis of shaking table test data from benchmark models subjected to adjusted Kobe and El Centro earthquakes, the damage detection index is evaluated using the Hilbert-Huang Transform (HHT) and the Fast Fourier Transform (FFT) methods, respectively. Results indicate that, when the response of the structure is in the elastic region, the RB value only slightly changes in both the HHT and the FFT spectra. Additionally, RB values estimated from the HHT spectra vs. the PGA values change incrementally when the structure response is nonlinear i.e., member yielding occurs, but not in the RB curve from the FFT spectra. Moreover, the RB value of the top floor changes more than those from the other floors. Furthermore, structural damage is detected only when using the acceleration response data from the top floor. Therefore, the ratio of bandwidth RB estimated from the smoothed HHT spectra is an effective and sensitive damage index for detecting structural damage. Results of this study also demonstrate that the HHT is a powerful method in analyzing the nonlinear responses of steel structures to strong ground motions.

시중 즉석 조리 면의 Back Extrusion 텍스처 데이터에 대한 Partial Least Square Regression 분석 (Analysis of Partial Least Square Regression on Textural Data from Back Extrusion Test for Commercial Instant Noodles)

  • 김수경;이승주
    • 산업식품공학
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    • 제14권1호
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    • pp.75-79
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    • 2010
  • 시중 즉석 면류의 관능적 성질과 back extrusion test 데이터에 대하여 partial least square regression(PLSR)을 실시하였다. 즉석유탕면 8종과 즉석비유탕면 2종에 대한 관능적 속성으로서 경도(A), 탄성(B), 껄끄러운 정도(C), 이에 박히는 정도(D), 굵기감(E)를 검사하였고, 실험 데이터로 힘-변형 곡선 전체를 사용하였다. PLSR의 회귀계수는 힘-변형곡선의 압착단계, 항복단계, 압출단계로 크게 구분되어 각관능속성에 대한 특유의 양 또는 음의 효과를 나타냈다. PLSR의 상관계수는 E>D>A>B>C, 오차(root mean square error of prediction expressed in sensory units)는 D>C>E>B>A, 예측능(relative ability of prediction)는 D>C>E>B>A 로 나타나 종합적으로 '이에 박히는 정도'가 PLSR의 적용에 가장 우수하게 나타났다. '경도'는 예측능은 낮았지만 상관성은 높아서 시료간 순위의 결정에 합당하게 평가되었다.

Overall damage identification of flag-shaped hysteresis systems under seismic excitation

  • Zhou, Cong;Chase, J. Geoffrey;Rodgers, Geoffrey W.;Xu, Chao;Tomlinson, Hamish
    • Smart Structures and Systems
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    • 제16권1호
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    • pp.163-181
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    • 2015
  • This research investigates the structural health monitoring of nonlinear structures after a major seismic event. It considers the identification of flag-shaped or pinched hysteresis behavior in response to structures as a more general case of a normal hysteresis curve without pinching. The method is based on the overall least squares methods and the log likelihood ratio test. In particular, the structural response is divided into different loading and unloading sub-half cycles. The overall least squares analysis is first implemented to obtain the minimum residual mean square estimates of structural parameters for each sub-half cycle with the number of segments assumed. The log likelihood ratio test is used to assess the likelihood of these nonlinear segments being true representations in the presence of noise and model error. The resulting regression coefficients for identified segmented regression models are finally used to obtain stiffness, yielding deformation and energy dissipation parameters. The performance of the method is illustrated using a single degree of freedom system and a suite of 20 earthquake records. RMS noise of 5%, 10%, 15% and 20% is added to the response data to assess the robustness of the identification routine. The proposed method is computationally efficient and accurate in identifying the damage parameters within 10% average of the known values even with 20% added noise. The method requires no user input and could thus be automated and performed in real-time for each sub-half cycle, with results available effectively immediately after an event as well as during an event, if required.

Modeling of heated concrete-filled steel tubes with steel fiber and tire rubber under axial compression

  • Sabetifar, Hassan;Nematzadeh, Mahdi;Gholampour, Aliakbar
    • Computers and Concrete
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    • 제29권1호
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    • pp.15-29
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    • 2022
  • Concrete-filled steel tubes (CFSTs) are increasingly used as composite sections in structures owing to their excellent load bearing capacity. Therefore, predicting the mechanical behavior of CFST sections under axial compression loading is vital for design purposes. This paper presents the first study on the nonlinear analysis of heated CFSTs with high-strength concrete core containing steel fiber and waste tire rubber under axial compression loading. CFSTs had steel fibers with 0, 1, and 1.5% volume fractions and 0, 5, and 10% rubber particles as sand alternative material. They were subjected to 20, 250, 500, and 750℃ temperatures. Using flow rule and analytical analysis, a model is developed to predict the load bearing capacity of steel tube, and hoop strain-axial strain relationship, and axial stress-volumetric strain relationship of CFSTs. An elastic-plastic analysis method is applied to determine the axial and hoop stresses of the steel tube, considering elastic, yield, and strain hardening stages of steel in its stress-strain curve. The axial stress in the concrete core is determined as the difference between the total experimental axial stress and the axial stress of steel tube obtained from modeling. The results show that steel tube in CFSTs under 750℃ exhibits a higher load bearing contribution compared to those under 20, 250, and 500℃. It is also found that the ratio of load bearing capacity of steel tube at peak point to the load bearing capacity of CFST at peak load is noticeable such that this ratio is in the ranges of 0.21-0.33 and 0.31-0.38 for the CFST specimens with a steel tube thickness of 2 and 3.5 mm, respectively. In addition, after the steel tube yielding, the load bearing capacity of the tube decreases due to the reduction of its axial stiffness and the increase of hoop strain rate, which is in the range of about 20 to 40%.

Prediction of Stunting Among Under-5 Children in Rwanda Using Machine Learning Techniques

  • Similien Ndagijimana;Ignace Habimana Kabano;Emmanuel Masabo;Jean Marie Ntaganda
    • Journal of Preventive Medicine and Public Health
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    • 제56권1호
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    • pp.41-49
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    • 2023
  • Objectives: Rwanda reported a stunting rate of 33% in 2020, decreasing from 38% in 2015; however, stunting remains an issue. Globally, child deaths from malnutrition stand at 45%. The best options for the early detection and treatment of stunting should be made a community policy priority, and health services remain an issue. Hence, this research aimed to develop a model for predicting stunting in Rwandan children. Methods: The Rwanda Demographic and Health Survey 2019-2020 was used as secondary data. Stratified 10-fold cross-validation was used, and different machine learning classifiers were trained to predict stunting status. The prediction models were compared using different metrics, and the best model was chosen. Results: The best model was developed with the gradient boosting classifier algorithm, with a training accuracy of 80.49% based on the performance indicators of several models. Based on a confusion matrix, the test accuracy, sensitivity, specificity, and F1 were calculated, yielding the model's ability to classify stunting cases correctly at 79.33%, identify stunted children accurately at 72.51%, and categorize non-stunted children correctly at 94.49%, with an area under the curve of 0.89. The model found that the mother's height, television, the child's age, province, mother's education, birth weight, and childbirth size were the most important predictors of stunting status. Conclusions: Therefore, machine-learning techniques may be used in Rwanda to construct an accurate model that can detect the early stages of stunting and offer the best predictive attributes to help prevent and control stunting in under five Rwandan children.

Interferometric Monitoring of Gamma-ray Bright AGNs:Measuring the Magnetic Field Strength of 4C+29.45

  • Kang, Sincheol;Lee, Sang-Sung;Hodgson, Jeffrey;Algaba, Juan-Carlos;Lee, Jee Won;Kim, Jae-Young;Park, Jongho;Kino, Motoki;Kim, Daewon;Trippe, Sascha
    • 천문학회보
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    • 제46권1호
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    • pp.52.1-52.1
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    • 2021
  • We present the results of multi-epoch, multi-frequency monitoring of a blazar 4C +29.45, which was regularly monitored as part of the Interferometric Monitoring of GAmma-ray Bright AGNs program - a key science program of the Korean Very long baseline interferometry Network (KVN). Observations were conducted simultaneously at 22, 43, 86 and 129 GHz during the 4 years from December 2012 to December 2016. We also used additional data from the 15 GHz Owens Valley Radio Observatory (OVRO) monitoring program. From the 15 GHz light curve, we estimated the variability time scales of the source during several radio flux enhancements. We found that the source experiencesd 6 radio flux enhancements with variability time scales of 9-187 days during the observing period, yielding corresponding variability Doppler factors of 9-27. From the multi-frequency simultaneous KVN observations, we were able to obtain accurate radio spectra of the source and hence to more precisely measure the turnover frequencies 𝜈r of synchrotron self-absorbed (SSA) emission with a mean value of ${\bar{\nu}_r}=28.9GHz$. Using jet geometry assumptions, we estimated the size of the emitting region at the turnover frequency. Taking into account these results, we found that the equipartition magnetic field strength is up to two orders of magnitudes higher than the SSA magnetic field strength (0.6-99 mG). This is consistent with the source being particle dominated.

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