• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.4
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• pp.1-1
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• 2001

본 논문에서는 웨이블릿 변환을 멀티스케일 매치 필터의 관점에서 해석하고, 이를 위하여 마르코프 랜덤 필드에 묻혀있는 가우시안 형태의 작은 물체를 검출하는 이론적 근거를 제시하며, 이의 응용으로 맘모그램에 존재하는 마이크로캘시피케이션을 검출하는 알고리즘을 제안한다. 검출하고자 하는 물체가 가우시안 형태이고 그 스케일이 웨이블릿 변환에 의해 계산된 것과 일치하며, 그 주변의 잡영이 마르코프 프로세스이면, LoG(Laplacian of Gaussian) 웨이블릿은 멀티스케일 매치 필터로 작용하며, 적절한 디테일 이미지를 단순히 이진화함으로써 최적의 검출기를 구현할 수 있다. 그런데, 마이크로캘시피케이션은 정확한 가우시안 형태를 갖지 않고, 게다가 맘모그램의 배경이미지도 마르코프 프로세스라는 가정에서 벗어난다. 이러한 불일치를 해결하기 위하여, 본 논문에서는 멀티스케일 웨이블릿 계수에서 추출한 특징벡터를 Hotelling observer에 입력하여 처리함으로써 이를 보상하고자 하였다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.27 no.3
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• pp.137-145
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• 2014

We present a design sensitivity analysis(DSA) method for multiscale problems based on bridging scale decomposition. In this paper, we utilize a bridging scale method for the coupled system analysis. Since the analysis of full MD systems requires huge amount of computational costs, a coupled system of MD-level and continuum-level simulation is usually preferred. The information exchange between the MD and continuum levels is taken place at the MD-continuum boundary. In the bridging scale method, a generalized Langevin equation(GLE) is introduced for the reduced MD system and the GLE force using a time history kernel is applied at the boundary atoms in the MD system. Therefore, we can separately analyze the MD and continuum level simulations, which can accelerate the computing process. Once the simulation of coupled problems is successful, the need for the DSA is naturally arising for the optimization of macro-scale design, where the macro scale performance of the system is maximized considering the micro scale effects. The finite difference sensitivity is impractical for the gradient based optimization of large scale problems due to the restriction of computing costs but the analytical sensitivity for the coupled system is always accurate. In this study, we derive the analytical design sensitivity to verify the accuracy and applicability to the design optimization of the coupled system.

• Composites Research
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• v.34 no.1
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• pp.70-75
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• 2021

This paper presents a novel algorithm to reconstruct meso-scale representative volume elements (RVE), referring to experimentally observed features of Sheet Molding Compound (SMC) composites. Predicting anisotropic mechanical properties of SMC composites is challenging in the multiscale virtual test using finite element (FE) models. To this end, an SMC RVE modeler consisting of a series of image processing techniques, the novel reconstruction algorithm, and a FE mesh generator for the SMC composites are developed. First, micro-CT image processing is conducted to estimate probabilistic distributions of two critical features, such as fiber chip orientation and distribution that are highly related to mechanical performance. Second, a reconstruction algorithm for 3D fiber chip packing is developed in consideration of the overlapping effect between fiber chips. Third, the macro-scale behavior of the SMC is predicted by the multiscale analysis.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.29 no.6
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• pp.577-582
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• 2016

In this study, a multiscale method for solving a thermoelasticity problem for interphase in the polymeric nanocomposites is developed. Molecular dynamics simulation and finite element analysis were numerically combined to describe the geometrical boundaries and the local mechanical response of the interfacial region where the polymer networks were highly interacted with the nanoparticle surface. Also, the micrmechanical thermoelasticity equations were applied to the obtained equivalent continuum unit to compute the growth of interphase thickness according to the size of nanoparticles, as well as the thermal phase transition behavior at a wide range of temperatures. Accordingly, the equivalent continuum model obtained from the multiscale analysis provides a meaningful description of the thermoelastic behavior of interphase as well as its nanoparticle size effect on thermoelasticity at both below and above the glass transition temperature.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.20 no.3
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• pp.287-292
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• 2007

In general, the response of bulk material is independent of its size when it comes to considering classical elasticity theory. Because the surface to bulk ratio of the large solids is very small, the influence of surface can be negligible. But the surface effect plays important role as the surface to bulk ratio becomes larger, that is, the contribution of the surface effect must be considered in nano-size elements such as thin film or beam structure. Molecular dynamics computation has been a conventional way to analyze these ultra-thin structures but this method is limited to simulate on the order of $10^6{\sim}10^9$ atoms for a few nanoseconds, and besides, very time consuming. Analysis of structures in submicro to micro range(thin-film, wire etc.) is difficult with classical molecular dynamics due to the restriction of computing resources and time. Therefore, in this paper, the continuum-based method is considered to simulate the overall physical and mechanical properties of the structures in nano-scale, especially, for the thin-film.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2010.04a
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• pp.554-557
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• 2010

본 논문에서는 동일한 체적분율 가지는 탄소나노튜브 나노복합재의 기계적 특성을 규명하였다. 동일한 chirality를 가지는 서로 다른 크기의 탄소나노튜브를 이용하여 탄소나노튜브의 크기가 복합재의 물성에 미치는 영향을 규명하였다. 복합재료의 분자동역학의 결과 탄소나노튜브의 길이방향의 물성은 크게 증가하나, 전단특성의 물성 강화효과를 나타나지 않았다. 이는 통해 탄소나노튜브와 기지재료 사이의 상호작용력이 복합재료의 전단력을 전달하고, 변형을 유지할 만큼 강하지 않다는 것을 확인하였다. 이와 같은 분자동역학 결과를 바탕으로 멀티스케일 모델을 개발하여 복합재료에서 나타나는 현상을 묘사하였다. 제안된 멀티스케일 모델을 이용하여 다양한 조건의 복합재료에 대한 특성 예측이 가능하다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.26 no.6
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• pp.409-413
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• 2013

In this paper, we device stress-diffusion full coupling multiscale analysis method for battery electrode simulation. In proposed method, the diffusive and mechanical properties of electrode material depend on Li concentration are estimated using density function theory(DFT) simulation. Then, stress-diffusion full coupling continuum formulation based on finite element method(FEM) is constructed with the diffusive and mechanical properties calculated from DFT simulation. Finally, silicon nanowire anode charge and discharge simulations are performed using the proposed method. Through numerical examples, the stress-diffusion full coupling method shows more resonable results than previous one way continuum analysis.

• Computational Structural Engineering
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• v.30 no.3
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• pp.4-9
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• 2017

• Computational Structural Engineering
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• v.30 no.3
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• pp.10-15
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• 2017

• Computational Structural Engineering
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• v.33 no.1
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• pp.17-19
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• 2020