• 제목/요약/키워드: Material inference

검색결과 56건 처리시간 0.02초

Effect of dimensionless nonlocal parameter: Vibration of double-walled CNTs

  • Hussain, Muzamal;Asghar, Sehar;Khadimallah, Mohamed Amine;Ayed, Hamdi;Alghamdi, Sami;Bhutto, Javed Khan;Mahmoud, S.R.;Tounsi, Abdelouahed
    • Computers and Concrete
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    • 제30권4호
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    • pp.269-276
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    • 2022
  • In this paper, frequency vibrations of double-walled carbon nanotubes (CNTs) has been investigated based upon nonlocal elastic theory. The inference of small scale is being perceived by establishing nonlocal Love shell model. The wave propagation approach has been operated to frame the governing equations as eigen value system. An innovational nonlocal model to examine the scale effect on vibrational behavior of armchair, zigzag and chiral of double-walled CNTs. An appropriate selection of material properties and nonlocal parameter has been considered. The influence of dimensionless nonlocal parameter has been studied in detail. The dominance of end condition via nonlocal parameter is explained graphically. The results generated furnish the evidence regarding applicability of nonlocal shell model and also verified by earlier published literature.

Viscoplasticity model stochastic parameter identification: Multi-scale approach and Bayesian inference

  • Nguyen, Cong-Uy;Hoang, Truong-Vinh;Hadzalic, Emina;Dobrilla, Simona;Matthies, Hermann G.;Ibrahimbegovic, Adnan
    • Coupled systems mechanics
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    • 제11권5호
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    • pp.411-438
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    • 2022
  • In this paper, we present the parameter identification for inelastic and multi-scale problems. First, the theoretical background of several fundamental methods used in the upscaling process is reviewed. Several key definitions including random field, Bayesian theorem, Polynomial chaos expansion (PCE), and Gauss-Markov-Kalman filter are briefly summarized. An illustrative example is given to assimilate fracture energy in a simple inelastic problem with linear hardening and softening phases. Second, the parameter identification using the Gauss-Markov-Kalman filter is employed for a multi-scale problem to identify bulk and shear moduli and other material properties in a macro-scale with the data from a micro-scale as quantities of interest (QoI). The problem can also be viewed as upscaling homogenization.

FRP로 보강된 콘크리트 부재의 압축응력-변형률 예측을 위한 뉴로퍼지모델의 적용 (Prediction of Ultimate Strength and Strain of Concrete Columns Retrofitted by FRP Using Adaptive Neuro-Fuzzy Inference System)

  • 박태원;나웅진;권성준
    • 콘크리트학회논문집
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    • 제22권1호
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    • pp.19-27
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    • 2010
  • 건축물이나 교량과 같은 RC 구조물의 경우, 다양한 유해 환경하의 재료적인 열화나 구조적 문제로 콘크리트의 노후화 및 손상이 발생하게 된다. 콘크리트의 균열이나 철근의 부식, 구조 단면의 변형 등은 구조적 안전성 저하 및 구조물 거동 특성 변화의 주요 원인이 되기도 한다. 따라서 이와 같은 콘크리트 구조물의 보수 보강을 위하여, 효과적이고 적용이 간편한 공법의 개발이 콘크리트 분야의 중요한 연구 과제 중의 하나로 인식되어 왔다. 다양한 보수 보강 기법들이 과거 수십 년 동안 개발되어 적용되고 있으며, 이중에서도 최근 FRP 복합 재료를 구조물의 외부에 접착시키는 방법을 통한 보강 방식이 많이 사용되고 있다. 이 연구는 인공 지능(AI)의 일종인 뉴로퍼지모델(ANFIS) 을 이용하여, FRP로 보강된 원주형 콘크리트 부재의 보강 효과를 분석하는데 그 목적이 있다. ANFIS 모델을 이 연구에 적용하기 위하여, 기존 연구 자료 및 실험에서 얻은 결과를 통해 학습 데이터와 시험 데이터 세트를 구축하였다. 이 연구에서 구축된 ANFIS 모델은 기존 피보강 콘크리트의 압축강도, 보강재의 두께, 보강재의 보강 겹수, 보강재의 탄성계수, 보강재의 파단강도 및 보강재와 피보강재의 체적비, 피보강재의 부재크기를 입력 자료의 파라미터로 사용하여, 압축강도, 변형률, 2차탄성계수 등을 예측하는 방식으로 활용될 수 있으며, ANFIS 모델을 통하여 예측된 결과를 기존 연구자들이 제안한 FRP 보강 콘크리트 부재의 구성 방정식과 비교할 때 더 높은 정확도로 예측이 가능함을 확인할 수 있다.

퍼지신경회로망의 열전도도 추론에 의한 재질인식센서의 개발 (Material Recognition Sensor Using Fuzzy Neural Network Inference of Thermal Conductivity)

  • 임영철;박진규;류영재;위석오;박진수
    • 센서학회지
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    • 제5권2호
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    • pp.37-46
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    • 1996
  • 본 연구에서는 곡선근사법과 퍼지신경망의 열전도도 추론을 이용해 대기온도의 변화에 관계없이 접촉된 물체의 재질 인식이 가능한 시스템에 대하여 기술하였다. 먼저 인간의 손가락과 유사한 구조의 재질 인식용 능동센서를 제작하였고 이를 이용해 접촉된 물체의 온도응답곡선을 측정하였다. 측정된 온도응답곡선을 곡선근사법에 의해 지수함수로 근사화하므로써 측정중의 잡음을 없앨 수 있었고 물체의 열전도 특성을 근사화된 지수함수의 계수와 지수로 표현할 수 있었다. 또한 퍼지신경망을 이용하므로써 열전도 특성의 복잡한 수학적 해석을 피할 수 있었고 패기온도의 변화에 관계없이 임의의 대기온도하에서 물체의 열전도도 추론이 가능하였으며 추론된 열전도도를 이용해 접촉된 물체의 재질을 식별할 수 있었다.

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아동의 도덕규범과 친사회적 문제행동 상황에서 어머니의 아동역량 판단, 귀인 및 통제 (Mother's Attributions and Control Behavior for Child's Misbehavior of Moral Norm and Prosocial Behavior)

  • 신양재;유안진
    • 대한가정학회지
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    • 제38권6호
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    • pp.101-116
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    • 2000
  • This study integrated mother's control behavior of child's misbehavior within social domain analysis and the framework of attributional models of social cognition. The purpose of this study was to identify, compare and contrast maternal attributions and control responses according to child's age and domains of social behavior, and to investigate that mother's social cognition factors(authoritarian attitude and self competence perception) influence material inference and responses for their child's acts. Then this study was to find out whether mother's attribution would mediate their socialization techniques. For empirical research, 654 mothers with 5.6 year old and 8.9 year old children as subjects answered the structured questionnaire. The data were analyzed by frequencies, t-test, oneway ANOVA, and multiple regression. The major findings were as follows: First, according to child's two domains of misbehavior, there were differences in mothers'attribution and control behavior. Also mothers regarded older child's behavior as more dispositional cause and as more deserving of punishment than younger child's. Second, mother's authoritarian altitude of parenting, self-competence perception, and educational level were significantly related to mother's judgment. Third, the more authoritarian attitude mothers had, the more dispositional factor of children they attributed. And the lower self-competence mothers perceived. the more internal factor of child they attributed. Finally, maternal attributions and control responses are interrelated. When they attributed their children's misdeeds to internal dispositions, they respond with more stronger control behavior. The results suggested maternal social cognition mediate socialization behavior.

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디스크 스피닝 성형기의 유압 및 제어시스템 설계 (Design of Hydraulic & Control System for the Disc Spinning Machine)

  • 강정식;박근석;강이석
    • 한국정밀공학회지
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    • 제19권9호
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    • pp.157-165
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    • 2002
  • The design of hydraulic & control system has been developed for the disc spinning machine. The hydraulic system has been designed in the overall system including the vertical & horizontal slide fur spinning works which are controlled by hydraulic servo valves in right & left side, and the clamping slide for holding & pressing blank material in center during spinning process. Based on the design concept of this hydraulic system, model test experiments for hydraulic servo control system is tested to conform confidence and applying possibility. The control system is introduced with the fuzzy-sliding mode controller for the hydraulic force control reacting force as a disturbance, because a fuzzy controller does not require an accurate mathematical model for the generation of nonlinear factors in the actual nonlinear plant with unknown disturbances and a sliding controller has the robustness & stability in mathematical control algorithm. We conform that the fuzzy-sliding mode controller has a good performance in force control for the plant with a strong disturbance. Also, we observe that a steady state error of the fuzzy-sliding mode controller can be reduced better than those of an another controllers.

두께에 따른 생체 모방 종이 작동기의 성능평가 (The Performance of EAPap Actuators with Thickness Variation)

  • 송춘석;김재환;강유근;윤성률
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2005년도 추계학술대회논문집
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    • pp.735-738
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    • 2005
  • Electro-Active Paper (EAPap) is attractive as an EAP actuator material due to its merits in terms of lightweight, dry condition, large displacement output, low actuation voltage and low power consumption. This paper presents the performance of EAPap actuators with thickness variation. The EAPap is made with cellulose paper, and is shown to bend in response to an external electric field. Up to the present, we have tested displacement, current and force of EAPap with 20 $\mu$m thickness. The thickness of EAPap is important factor that affects the performance of the actuator. Therefere, three different thickness of EAPap, 20, 30, and 40 $\mu$m are investigated that inference the tip displacement, blocked force, the resonance and the actuator efficiency. There is an optimum thickness of EAPap, which is resulted from the stiffness and the mass. The performance of EAPap with thickness is discussed.

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AUTOMATION OF QUANTITATIVE SAFETY EVALUATION IN CHEMICAL PROCESSES

  • Lee, Byung-Woo;Kang, Byoung-Gwan;Suh, Jung-Chul;Yoon, En-Sup
    • 한국화재소방학회:학술대회논문집
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    • 한국화재소방학회 1997년도 International Symposium on Fire Science and Technology
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    • pp.252-259
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    • 1997
  • A method to automate hazard analysis of chemical plants is proposed in this paper. The proposed system is composed of three knowledge bases - unit knowledge base, organizational knowledge base and material knowledge base, and three hazard analysis algorithms - deviation, malfunction and accident analysis algorithm. Hazard analysis inference procedure is developed based on the actual hazard analysis procedures and accident development sequence. The proposed algorithm can perform hazard analysis in two methods and represent all conceivable types of accidents using accident analysis algorithm. In addition, it provides intermediate steps in the accident propagation, and enables the analysis result to give a useful information to hazard assessment. The proposed method is successfully demonstrated by being applied to diammonium phosphate manufacturing process. A system to automate hazard analysis is developed by using the suggested method. The developed system is expected to be useful in finding the propagation path of a fault or the cause of a malfunction as it is capable to approach causes of faults and malfunctions simultaneously.

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섬유소재 분야 특허 기술 동향 분석: DETM & STM 텍스트마이닝 방법론 활용 (Research of Patent Technology Trends in Textile Materials: Text Mining Methodology Using DETM & STM)

  • 이현상;조보근;오세환;하성호
    • 한국정보시스템학회지:정보시스템연구
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    • 제30권3호
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    • pp.201-216
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    • 2021
  • Purpose The purpose of this study is to analyze the trend of patent technology in textile materials using text mining methodology based on Dynamic Embedded Topic Model and Structural Topic Model. It is expected that this study will have positive impact on revitalizing and developing textile materials industry as finding out technology trends. Design/methodology/approach The data used in this study is 866 domestic patent text data in textile material from 1974 to 2020. In order to analyze technology trends from various aspect, Dynamic Embedded Topic Model and Structural Topic Model mechanism were used. The word embedding technique used in DETM is the GloVe technique. For Stable learning of topic modeling, amortized variational inference was performed based on the Recurrent Neural Network. Findings As a result of this analysis, it was found that 'manufacture' topics had the largest share among the six topics. Keyword trend analysis found the fact that natural and nanotechnology have recently been attracting attention. The metadata analysis results showed that manufacture technologies could have a high probability of patent registration in entire time series, but the analysis results in recent years showed that the trend of elasticity and safety technology is increasing.

Outstanding Pinkish Brown-Spored Neotropical Boletes: Austroboletus subflavidus and Fistulinella gloeocarpa (Boletaceae, Boletales) from the Dominican Republic

  • Gelardi, Matteo;Angelini, Claudio;Costanzo, Federica;Ercole, Enrico;Ortiz-Santana, Beatriz;Vizzini, Alfredo
    • Mycobiology
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    • 제49권1호
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    • pp.24-45
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    • 2021
  • The occurrence of Austroboletus subflavidus and Fistulinella gloeocarpa is documented from the Dominican Republic. The latter species is reported for the first time outside its original locality in Martinique, extending the geographic range for this uncommon pinkish-spored bolete. A detailed morphological description is provided for each species and accompanied by color pictures of fresh basidiomes in habitat and line drawings of the main anatomical features. Both species represent independent lineages within their respective genera based on phylogenetic inference. In addition, A. subflavidus clusters in a sister lineage to the core Austroboletus clade (Austroboletus clade I) here named as Austroboletus clade II. In order to confirm the accuracy of species identification, their identity and relationships were subjected to multilocus phylogenetic analyses of three gene markers (ITS, nrLSU, RPB2) including genetic material already available in public databases. Austroboletus subflavidus is a widely distributed species in North and Central America, whereas F. gloeocarpa is apparently highly localized and seems to appear sparingly in the Dominican Republic, Martinque, and southern Florida. Comparisons with morphologically similar and molecularly inferred allied species are also presented and discussed.