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RISS 인기검색어
- 검색키워드
- 저자 : Daining Fang (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
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Pseudoelastic Behavior of CuAlNi Single Crystal Under Biaxial Loading
Fang, Daining,Lu, Wei,Hwang, Keh Chih 대한금속재료학회(대한금속학회) 1998 METALS AND MATERIALS International Vol.4 No.4
Shape memory alloy (SMA) is one of the promising smart materials because of their ability to perform two different tasks: sensing, and actuating. CuAlNi is a kind of SMA with a very wide use. In order to investigate basic properties of pseudoelasticity of CuAlNi single crystal, uniaxial and biaxial loading tests under different combined loads at a constant temperature were performed on cruciform specimens, anal experimental data were compared with theoretical calculation based on a proposed constitutive model.
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Yang, Wei,Zhou, Chuwei,Fang, Daining 대한금속재료학회(대한금속학회) 1998 METALS AND MATERIALS International Vol.4 No.4
A numerical micromechanical method is adopted here to investigate the tensile strength of metal matrix composites (MMC) by considering interface and matrix damage evolution. A cohesive zone model is employed to simulate the fiber/matrix interface; damage. The damage in the matrix, which characterizes microvoid nucleation, growth and coalescence, is described in term of the Gurson-Tvergaard material model. These damage models are performed to a boundary value problem that involves a double periodic array of elastic continuous fibers in the elastic-plastic matrix subjected to transverse loads. The main attempt is made to investigate effects of interface strength and toughness on tensile strength of MMC.
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Liu, Zejia,Li, Yinghua,Tang, Liqun,Liu, Yiping,Jiang, Zhenyu,Fang, Daining Techno-Press 2014 Smart Structures and Systems, An International Jou Vol.14 No.2
With more and more built long-term structural health monitoring (SHM) systems, it has been considered to apply monitored data to learn the reliability of bridges. In this paper, based on a long-term SHM system, especially in which the sensors were embedded from the beginning of the construction of the bridge, a method to calculate the localized reliability around an embedded sensor is recommended and implemented. In the reliability analysis, the probability distribution of loading can be the statistics of stress transferred from the monitored strain which covered the effects of both the live and dead loads directly, and it means that the mean value and deviation of loads are fully derived from the monitored data. The probability distribution of resistance may be the statistics of strength of the material of the bridge accordingly. With five years' monitored strains, the localized reliabilities around the monitoring sensors of a bridge were computed by the method. Further, the monitored stresses are classified into two time segments in one year period to count the loading probability distribution according to the local climate conditions, which helps us to learn the reliability in different time segments and their evolvement trends. The results show that reliabilities and their evolvement trends in different parts of the bridge are different though they are all reliable yet. The method recommended in this paper is feasible to learn the localized reliabilities revealed from monitored data of a long-term SHM system of bridges, which would help bridge engineers and managers to decide a bridge inspection or maintenance strategy.
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Zejia Liu,Liqun Tang,Yinghua Li,Yiping Liu,Zhenyu Jiang,Daining Fang 국제구조공학회 2014 Smart Structures and Systems, An International Jou Vol.14 No.2
With more and more built long-term structural health monitoring (SHM) systems, it has been considered to apply monitored data to learn the reliability of bridges. In this paper, based on a long-term SHM system, especially in which the sensors were embedded from the beginning of the construction of the bridge, a method to calculate the localized reliability around an embedded sensor is recommended and implemented. In the reliability analysis, the probability distribution of loading can be the statistics of stress transferred from the monitored strain which covered the effects of both the live and dead loads directly, and it means that the mean value and deviation of loads are fully derived from the monitored data. The probability distribution of resistance may be the statistics of strength of the material of the bridge accordingly. With five years\' monitored strains, the localized reliabilities around the monitoring sensors of a bridge were computed by the method. Further, the monitored stresses are classified into two time segments in one year period to count the loading probability distribution according to the local climate conditions, which helps us to learn the reliability in different time segments and their evolvement trends. The results show that reliabilities and their evolvement trends in different parts of the bridge are different though they are all reliable yet. The method recommended in this paper is feasible to learn the localized reliabilities revealed from monitored data of a long-term SHM system of bridges, which would help bridge engineers and managers to decide a bridge inspection or maintenance strategy
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전기-기계 결합 하중을 받는 압전 세라믹 다층 작동기의 무요소 해석
김현철(Hyun Chul Kim),Xianghua Guo,김원석(Won Seok Kim),Daining Fang,이정주(Jung Ju Lee) 한국자동차공학회 2007 한국 자동차공학회논문집 Vol.15 No.2
This paper presents an efficient meshless method for analyzing cracked piezoelectric structures subjected to mechanical and electrical loading. The method employs an element free Galerkin (EFG) formulation and an enriched basic function as well as special shape functions that contain discontinuous derivatives. Based on the moving least squares (MLS) interpolation approach, The EFG method is one of the promising methods for dealing with problems involving progressive crack growth. Since the method is meshless and no element connectivity data are needed, the burdensome remeshing procedure required in the conventional finite element method (FEM) is avoided. The numerical results show that the proposed method yields an accurate near-tip stress field in an infinite piezoelectric plate containing an interior hole. Another example is to study a ceramic multilayer actuator. The proposed model was found to be accurate in the simulation of stress and electric field concentrations due to the abrupt end of an internal electrode.
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