• Title/Summary/Keyword: 손상구성모델

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Acquisition of Parameters for Impact Damage Analysis of Sheet Molding Compound Based on Artificial Neural Network (인공신경망 기반 SMC 복합재료의 충돌 손상 해석을 위한 파라메터 획득)

  • Lee, Sang-Cheol;Kim, Jeong
    • Composites Research
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    • v.34 no.2
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    • pp.115-122
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    • 2021
  • SMC(Sheet molding compound) composite is mainly used for forming of vehicle's body. Considering the car accident, it is essential to research the impact behavior and characteristics of materials. It is difficult to identify them because the impact process is completed in a short time. Therefore, the impact damage analysis using FE(finite element) model is required for the impact behavior. The impact damage analysis requires the parameters for the damage model of SMC composite. In this paper, ANN(artificial neural network) technique is applied to obtain the parameters for the damage model of SMC composite. The surrogate model by ANN was constructed with the result in LS-DYNA. By comparing the absorption energy in drop weight test with the result of ANN model, the optimized parameters were obtained. The acquired parameters were validated by comparing the results of the experiment, the FE model and the ANN model.

A study on the creep behavior of particulate composites (입자강화 복합재료의 크리프거동에 관한 연구)

  • Yang, Beom-Joo;Kim, Bong-Rae;Lee, Haeng-Ki
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2011.04a
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    • pp.123-126
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    • 2011
  • 본 논문에서는 점탄성 매트릭스와 탄성 강화입자로 구성된 복합재료의 크리프 거동예측을 미세역학 기반의 시뮬레이션을 통하여 수행하였다. 에폭시 고분자로 이루어진 복합재료의 경우 재료 특성상 탄성적 거동뿐 아니라 점성적 거동도 함께 발생하게 된다. 이렇듯 점탄성 거동을 보이는 재료의 경우 탄성만을 고려한 해석방법으로는 한계가 있으며 점성적인 특성 또한 고려되어야 한다. 점탄성 복합재료의 해석을 위해서 손상을 고려한 미세역학 기반의 해석 (Ju and Chen, 1994) 과 Mesquita and Coda (2002)의 근사식을 사용하였다. 이를 통해 구한 재료 물성은 복합재료의 크리프 거동예측을 위한 Kelvin-Voight (KV) 모델과 Standard Linear Solid (SLS) 모델에 적용되었다. 최종적으로 본 연구에서 제안한 손상을 고려한 점탄성 모델의 예측과 시험결과를 비교 수행하여 결과의 타당성을 검증하였다.

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Finite Element Simulation of Hysteretic Behavior of Structural Stainless Steel under Cyclic Loading (반복하중을 받는 스테인리스강의 이력거동 해석모델 개발)

  • Jeon, Jun-Tai
    • Journal of the Society of Disaster Information
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    • v.15 no.2
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    • pp.186-197
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    • 2019
  • Purpose: This study intends to develop a nonlinear cyclic plasticity damage model in the framework of finite element formulation, which is capable of taking large deformation effects into account, in order to accurately predict the hysteretic behavior of stainless steel structures. Method: The new cyclic constitutive equations that utilize the combined isotropic-kinematic hardening rule for plastic deformation is incorporated into the damage mechanic model in conjunction with the large strain formulation. The damage growth law is based on the experimental observations that the evolution of microvoids yields nonlinear damage accumulation with plastic deformation. The damage model parameters and the procedure for their identification are presented. Results and Conclusion: The proposed nonlinear damage model has been verified by simulating uniaxial strain-controlled monotonic and cyclic loading tests, and successfully applied to a thin-walled stainless steel pipe subjected to constant and alternating strain-controlled cyclic loadings.

Damage Detection of Non-Ballasted Plate-Girder Railroad Bridge through Machine Learning Based on Static Strain Data (정적 변형률 데이터 기반 머신러닝에 의한 무도상 철도 판형교의 손상 탐지)

  • Moon, Taeuk;Shin, Soobong
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.24 no.6
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    • pp.206-216
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    • 2020
  • As the number of aging railway bridges in Korea increases, maintenance costs due to aging are increasing and continuous management is becoming more important. However, while the number of old facilities to be managed increases, there is a shortage of professional personnel capable of inspecting and diagnosing these old facilities. To solve these problems, this study presents an improved model that can detect Local damage to structures using machine learning techniques of AI technology. To construct a damage detection machine learning model, an analysis model of the bridge was set by referring to the design drawing of a non-ballasted plate-girder railroad bridge. Static strain data according to the damage scenario was extracted with the analysis model, and the Local damage index based on the reliability of the bridge was presented using statistical techniques. Damage was performed in a three-step process of identifying the damage existence, the damage location, and the damage severity. In the estimation of the damage severity, a linear regression model was additionally considered to detect random damage. Finally, the random damage location was estimated and verified using a machine learning-based damage detection classification learning model and a regression model.

Elastoplastic Behavior and Progressive Damage of Circular Fiber-Reinforced Composites (원형섬유강화 복합재료의 탄소성거동 및 점진적 손상)

  • Lee, Haeng Ki;Kim, Bong Rae
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.1A
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    • pp.115-123
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    • 2008
  • The performance prediction of fiber-reinforced composites has attracted engineer's attention in many fields, and the various theoretical and numerical methods have been proposed to predict the behavior of the fiber-reinforced composites. An evolutionary damage model for progressive interfacial debonding between circular fibers and the matrix is newly incorporated into the micromechanics-based elastoplastic model proposed by Ju and Zhang (2001) in this framework. Using the proposed model, a series of numerical simulations are conducted to illustrate the elastoplastic behavior and evolutionary damage of the framework. Furthermore, the influence of the evolutionary interfacial debonding on the behavior of the composites is investigated by comparing it with the result of a stationary damage model.

Damage Identification in Truss Bridges using Damage Index Method (손상지수법을 이용한 트러스 교량의 손상추정)

  • Lee, Bong Hak;Kim, Jeong Tae;Chang, Dong Il
    • Journal of Korean Society of Steel Construction
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    • v.10 no.2 s.35
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    • pp.279-290
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    • 1998
  • An existing Damage Index Method is verified to demonstrate its feasibility for detecting structural damage in truss bridges (1) for which modal parameters are available for a few modes of vibration and (2) for which baseline modal information is not available from its as-built state. The theory of approach to detect locations of damage and to identify baseline modal model is summarized on the basis of system identification theory and modal sensitivity theory. The feasibility of the Damage Index Method is demonstrated using a numerical example of a truss bridge with 11 subsystems of 211 members and for which only two modes of vibration were recorded for post-damaged state.

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A Numerical Analysis on the Shear and Hydraulic behavior of Single Rock Joint with Roughness (거칠기를 고려한 단일 절리의 전단, 수리적 거동에 대한 수치해석)

  • 이희석;이연규
    • Proceedings of the Korean Society for Rock Mechanics Conference
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    • 2000.09a
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    • pp.117-128
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    • 2000
  • The development of proper joint model, which can describe real phenomena exactly and still can be used easily, is one of the most important element for the analysis of the mechanical and hydraulic behavior of discontinuous rock mass. In this study, an elasto-plastic constitutive model of joint behavior considering asperity degradation was extended with the concept of first and second order asperities. The proposed model was implemented to numerical code with discrete finite joint element. The parametric study with the various asperity angles and degradation coefficients showed that the model can reproduce the shear behavior of typical rough joints well. Results of laboratory monotonic and cyclic shear tests were compared with those of numerical tests to validate the model. The hydraulic model considering the relations between gouge production and aperture was introduced to the mechanical model. In an attempt to examine the performance of the model, comparative numerical test was conducted. Permeability between joint surfaces increased rapidly at the first stage, but became nearly constant with increasing shear displacement due to gouge production and uniform variation of aperture distribution.

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A Numerical Analysis on the Shear and Hydraulic behavior of Single Rock Joint with Roughness (거칠기를 고려한 단일 절리의 전단, 수리적 거동에 대한 수치해석)

  • 이희석;이연규
    • Tunnel and Underground Space
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    • v.10 no.3
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    • pp.366-377
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    • 2000
  • The development of proper joint model, which can describe real phenomena exactly and still can be used easily, is one of the most important element for the analysis of the mechanical and hydraulic behavior of discontinuous rock mass. In this study, an elasto-plastic constitutive model of joint behavior considering asperity degradation was extended with the concept of first and second order asperities. The proposed model was implemented to numerical code with discrete finite joint element. The parametric study with the various asperity angles and degradation coefficients showed that the model can reproduce the shear behavior of typical rough joints well. Results of laboratory monotonic and cyclic shear tests were compared with those of numerical tests to validate the model. The hydraulic model considering the relations between gouge production and aperture was introduced to the mechanical mode1. In an attempt to examine the performance of the model, comparative numerical test was conducted. Permeability between joint surfaces increased rapidly at the first stage, but became nearly constant with increasing shear displacement due to gouge production and uniform variation of aperture distribution.

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A Study on the Image Preprosessing model linkage method for usability of Pix2Pix (Pix2Pix의 활용성을 위한 학습이미지 전처리 모델연계방안 연구)

  • Kim, Hyo-Kwan;Hwang, Won-Yong
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.15 no.5
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    • pp.380-386
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    • 2022
  • This paper proposes a method for structuring the preprocessing process of a training image when color is applied using Pix2Pix, one of the adversarial generative neural network techniques. This paper concentrate on the prediction result can be damaged according to the degree of light reflection of the training image. Therefore, image preprocesisng and parameters for model optimization were configured before model application. In order to increase the image resolution of training and prediction results, it is necessary to modify the of the model so this part is designed to be tuned with parameters. In addition, in this paper, the logic that processes only the part where the prediction result is damaged by light reflection is configured together, and the pre-processing logic that does not distort the prediction result is also configured.Therefore, in order to improve the usability, the accuracy was improved through experiments on the part that applies the light reflection tuning filter to the training image of the Pix2Pix model and the parameter configuration.

Data Recovery of 3D Polygonal Mesh Model (Polygonal Mesh로 표현된 3차원 모델의 에러복원 연구)

  • Kim Dai-yong;Ryu Dae-ha;Park Sung-won;Kim Mi-ja;Jang Euee S.
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2003.11a
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    • pp.23-26
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    • 2003
  • 3차원 Polygonal Mesh는 그래픽스, 에니메이션, 게임에서 3차원 객체에 대한 표현에 사용되고, 이러한 3차원 모델에 대한 IndexedFaceSet 노드에 3차원 정전정보와 연결정보를 압축하는데 MPEG-4 3DMC를 사용한다. 이러한 연결정보는 다각형의 Mesh 형태로 3차원 모델을 구성하는 정보를 갖는데, 이는 Tepological Surgery 라고 하는 방법을 통해서 2차원의 스트립 단위의 데이터로 분해된다. 이러한 3D 데이터는 방송환경과 같은 재전송이 불가능한 네트워크의 환경에서 유무선 네트워크 상에서 채널문제로 인해서 데이터의 손실이 있게 되면, 복호화 된 데이터는 데이터의 손상이 발생하게 된다. 이러한 현상은 3D 모델의 좌표의 연결정보에 손상을 주게 되고, 여기서 복호화 된 데이터는 스트립 단위로 손상이 발생하게 된다. 이러한 현상은 3차원 모델의 좌표의 연결정보에 손상을 주게 된다. 본 논문은 이러한 3차원 정보의 손상을 효과적으로 복원하기 위한 연구에 관한 것이며, Mesh의 면을 이루는 각 꼭지점의 좌표들의 연결 정보가 손실되지 않는 스트립에서는 약간의 차이는 있을 수 있으나, 완벽한 복원을 하였고, 두 개 이상의 스트립이 붙어서 손상된 경우나, 좌표의 연결 정보가 없는 경우에는 조건에 따라 현저히 좋은 격과를 얻을 수 있었다.

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