• 제목/요약/키워드: Structural performance optimization

검색결과 569건 처리시간 0.028초

순차적 크리깅 메타모델의 민감도 검증법 (Sensitivity Validation Technique for Sequential Kriging Metamodel)

  • 허승균;이진민;이태희
    • 대한기계학회논문집A
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    • 제36권8호
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    • pp.873-879
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    • 2012
  • 메타모델은 설계 프레임워크 안에서 높은 효율성과 우수한 예측 능력, 타 프로그램과 쉬운 연동성 때문에 공학분야에서 지난 10 년간 최적설계 기법들과 함께 발전해왔다. 메타모델을 구성하기 위해서는 실험계획법, 메타모델링 기법, 검증법과 같은 절차가 요구된다. 검증법은 메타모델의 정확성을 판단하기 때문에 순차적 크리깅 메타모델에서 정확한 크리깅 메타모델을 구성하기 위한 표본점의 개수를 결정한다. 크리깅 메타모델과 같은 보간모델은 표본점에서의 응답을 항상 지나기 때문에 기존 방법으로 메타모델의 정확성을 판단하기 위해서는 추가적인 해석이나 메타모델의 재구성이 요구된다. 본 연구에서는 이러한 추가적인 해석과 메타모델의 재구성을 요구하지 않는 메타모델의 해석적 민감도를 이용하는 민감도 검증법을 제안한다. 14 개의 2 차원 수학예제와 공학예제를 이용하여 이 방법의 타당성을 검증한다.

플레이트 형태의 구조물에 대한 능동 마운팅 시스템의 모델링 및 해석 (Modeling and Analysis of Active Mounting System for a Plate-Type Structure)

  • 홍동우;김병일
    • 대한기계학회논문집A
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    • 제41권10호
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    • pp.915-921
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    • 2017
  • 최근 자동차의 진동과 소음을 줄이기 위한 연구가 활발하게 이루어지고 있으나 기존의 연구들은 수동형 또는 능동형 마운트를 포함한 마운팅 시스템의 최적화에 대해서는 주목하지 않았다. 본 연구는 진동 소음원과 리시버 사이에 세 개의 구조적 경로를 가진 능동 마운팅 시스템에 대한 분석적인 연구를 수행하며 실제 시스템에의 적용 가능성을 확인한다. 능동 마운팅 시스템은 피에조 스택 액추에이터와 수동형 마운트가 커플링된 구조를 가지고 있다. 전체 시스템에 대한 동적 모델이 유도되고 각 경로의 스택 액추에이터 입력 힘과 위상이 각 경로의 완전한 절연을 타겟으로 하여 결정된다. 진동 저감 성능이 확인되고 이는 가장 좋은 저감을 가져오는 수동형 및 능동형 경로의 최적화된 결합을 제시한다.

정전 구동형 MEMS 기반 가변 방사율 라디에이터의 광학 물성치 최적화 설계 (Optimization of Thermo-optical Property for Electrostatic Actuating MEMS-based Variable Emissivity Radiator)

  • 하헌우;강수진;한성현;김태규;오현웅
    • 한국항공우주학회지
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    • 제43권2호
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    • pp.149-155
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    • 2015
  • 기존의 MEMS 기반 루버 및 셔터 개폐형 가변 방사율 라디에이터는 온도 조건에 따라 방사율이 가변되어 효율적인 열 제어가 가능하나 발사 환경에서의 기계적 구동부의 취약점과 변경된 방사율 유지를 위해 지속적인 전력 소모가 요구되는 단점을 갖는다. 본 연구에서 제안한 MEMS 기반 가변 방사율 라디에이터는 대전되는 비드를 사용하여 전극의 극성 변화에 따라 방사율 가변이 가능하기 때문에 상기의 문제점을 극복할 수 있다. 본 연구에서는 MEMS 기반 가변 방사율 라디에이터의 광학 물성치 최적화 설계를 수행하였으며, 고정 방사율 라디에이터와의 비교를 통해 MEMS 기반 가변 방사율 라디에이터의 유효성을 입증하였다.

Hybrid adaptive neuro fuzzy inference system for optimization mechanical behaviors of nanocomposite reinforced concrete

  • Huang, Yong;Wu, Shengbin
    • Advances in nano research
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    • 제12권5호
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    • pp.515-527
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    • 2022
  • The application of fibers in concrete obviously enhances the properties of concrete, also the application of natural fibers in concrete is raising due to the availability, low cost and environmentally friendly. Besides, predicting the mechanical properties of concrete in general and shear strength in particular is highly significant in concrete mixture with fiber nanocomposite reinforced concrete (FRC) in construction projects. Despite numerous studies in shear strength, determining this strength still needs more investigations. In this research, Adaptive Neuro-Fuzzy Inference System (ANFIS) have been employed to determine the strength of reinforced concrete with fiber. 180 empirical data were gathered from reliable literature to develop the methods. Models were developed, validated and their statistical results were compared through the root mean squared error (RMSE), determination coefficient (R2), mean absolute error (MAE) and Pearson correlation coefficient (r). Comparing the RMSE of PSO (0.8859) and ANFIS (0.6047) have emphasized the significant role of structural parameters on the shear strength of concrete, also effective depth, web width, and a clear depth rate are essential parameters in modeling the shear capacity of FRC. Considering the accuracy of our models in determining the shear strength of FRC, the outcomes have shown that the R2 values of PSO (0.7487) was better than ANFIS (2.4048). Thus, in this research, PSO has demonstrated better performance than ANFIS in predicting the shear strength of FRC in case of accuracy and the least error ratio. Thus, PSO could be applied as a proper tool to maximum accuracy predict the shear strength of FRC.

Meso-scale based parameter identification for 3D concrete plasticity model

  • Suljevic, Samir;Ibrahimbegovic, Adnan;Karavelic, Emir;Dolarevic, Samir
    • Coupled systems mechanics
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    • 제11권1호
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    • pp.55-78
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    • 2022
  • The main aim of this paper is the identification of the model parameters for the constitutive model of concrete and concrete-like materials capable of representing full set of 3D failure mechanisms under various stress states. Identification procedure is performed taking into account multi-scale character of concrete as a structural material. In that sense, macro-scale model is used as a model on which the identification procedure is based, while multi-scale model which assume strong coupling between coarse and fine scale is used for numerical simulation of experimental results. Since concrete possess a few clearly distinguished phases in process of deformation until failure, macro-scale model contains practically all important ingredients to include both bulk dissipation and surface dissipation. On the other side, multi-scale model consisted of an assembly micro-scale elements perfectly fitted into macro-scale elements domain describes localized failure through the implementation of embedded strong discontinuity. This corresponds to surface dissipation in macro-scale model which is described by practically the same approach. Identification procedure is divided into three completely separate stages to utilize the fact that all material parameters of macro-scale model have clear physical interpretation. In this way, computational cost is significantly reduced as solving three simpler identification steps in a batch form is much more efficient than the dealing with the full-scale problem. Since complexity of identification procedure primarily depends on the choice of either experimental or numerical setup, several numerical examples capable of representing both homogeneous and heterogeneous stress state are performed to illustrate performance of the proposed methodology.

Numerical analysis of the combined aging and fillet effect of the adhesive on the mechanical behavior of a single lap joint of type Aluminum/Aluminum

  • Medjdoub, S.M.;Madani, K.;Rezgani, L.;Mallarino, S.;Touzain, S.;Campilho, R.D.S.G.
    • Structural Engineering and Mechanics
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    • 제83권5호
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    • pp.693-707
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    • 2022
  • Bonded joints have proven their performance against conventional joining processes such as welding, riveting and bolting. The single-lap joint is the most widely used to characterize adhesive joints in tensile-shear loadings. However, the high stress concentrations in the adhesive joint due to the non-linearity of the applied loads generate a bending moment in the joint, resulting in high stresses at the adhesive edges. Geometric optimization of the bonded joint to reduce this high stress concentration prompted various researchers to perform geometric modifications of the adhesive and adherends at their free edges. Modifying both edges of the adhesive (spew) and the adherends (bevel) has proven to be an effective solution to reduce stresses at both edges and improve stress transfer at the inner part of the adhesive layer. The majority of research aimed at improving the geometry of the plate and adhesive edges has not considered the effect of temperature and water absorption in evaluating the strength of the joint. The objective of this work is to analyze, by the finite element method, the stress distribution in an adhesive joint between two 2024-T3 aluminum plates. The effects of the adhesive fillet and adherend bevel on the bonded joint stresses were taken into account. On the other hand, degradation of the mechanical properties of the adhesive following its exposure to moisture and temperature was found. The results clearly showed that the modification of the edges of the adhesive and of the bonding agent have an important role in the durability of the bond. Although the modification of the adhesive and bonding edges significantly improves the joint strength, the simultaneous exposure of the joint to temperature and moisture generates high stress concentrations in the adhesive joint that, in most cases, can easily reach the failure point of the material even at low applied stresses.

Thermodynamic simulation and structural optimization of the collimator in the drift duct of EAST-NBI

  • Ning Tang;Chun-dong Hu;Yuan-lai Xie;Jiang-long Wei;Zhi-Wei Cui;Jun-Wei Xie;Zhuo Pan;Yao Jiang
    • Nuclear Engineering and Technology
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    • 제54권11호
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    • pp.4134-4145
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    • 2022
  • The collimator is one of the high-heat-flux components used to avoid a series of vacuum and thermal problems. In this paper, the heat load distribution throughout the collimator is first calculated through experimental data, and a transient thermodynamic simulation analysis of the original model is carried out. The error of the pipe outlet temperature between the simulated and experimental values is 1.632%, indicating that the simulation result is reliable. Second, the model is optimized to improve the heat transfer performance of the collimator, including the contact mode between the pipe and the flange, the pipe material and the addition of a twisted tape in the pipe. It is concluded that the convective heat transfer coefficient of the optimized model is increased by 15.381% and the maximum wall temperature is reduced by 16.415%; thus, the heat transfer capacity of the optimized model is effectively improved. Third, to adapt the long-pulse steady-state operation of the experimental advanced superconducting Tokamak (EAST) in the future, steady-state simulations of the original and optimized collimators are carried out. The results show that the maximum temperature of the optimized model is reduced by 37.864% compared with that of the original model. The optimized model was changed as little as possible to obtain a better heat exchange structure on the premise of ensuring the consumption of the same mass flow rate of water so that the collimator can adapt to operational environments with higher heat fluxes and long pulses in the future. These research methods also provide a reference for the future design of components under high-energy and long-pulse operational conditions.

Two-stage crack identification in an Euler-Bernoulli rotating beam using modal parameters and Genetic Algorithm

  • Belen Munoz-Abella;Lourdes Rubio;Patricia Rubio
    • Smart Structures and Systems
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    • 제33권2호
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    • pp.165-175
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    • 2024
  • Rotating beams play a crucial role in representing complex mechanical components that are prevalent in vital sectors like energy and transportation industries. These components are susceptible to the initiation and propagation of cracks, posing a substantial risk to their structural integrity. This study presents a two-stage methodology for detecting the location and estimating the size of an open-edge transverse crack in a rotating Euler-Bernoulli beam with a uniform cross-section. Understanding the dynamic behavior of beams is vital for the effective design and evaluation of their operational performance. In this regard, modal parameters such as natural frequencies and eigenmodes are frequently employed to detect and identify damages in mechanical components. In this instance, the Frobenius method has been employed to determine the first two natural frequencies and corresponding eigenmodes associated with flapwise bending vibration. These calculations have been performed by solving the governing differential equation that describes the motion of the beam. Various parameters have been considered, such as rotational speed, beam slenderness, hub radius, and crack size and location. The effect of the crack has been replaced by a rotational spring whose stiffness represents the increase in local flexibility as a result of the damage presence. In the initial phase of the proposed methodology, a damage index utilizing the slope of the beam's eigenmode has been employed to estimate the location of the crack. After detecting the presence of damage, the size of the crack is determined using a Genetic Algorithm optimization technique. The ultimate goal of the proposed methodology is to enable the development of more suitable and reliable maintenance plans.

화장로 형상 최적화를 통한 에너지효율개선을 위한 실증연구 (Field Scale Study for Energy Efficiency Improvement of Crematory System by the Shape Optimization of Combustion Chamber)

  • 원용태;이승목
    • 공업화학
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    • 제30권5호
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    • pp.546-555
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    • 2019
  • 본 연구는 국내 화장로 설비의 주류를 이루는 대차방식 화장로의 성능개선을 목표로 하였다. 주연소실 형상 변화를 통해 용적을 증대시키고, 버너연소제어 최적화를 통한 화장시간 단축 및 에너지 사용량 절감기술을 실증설비 기반으로 연구하였다. 1차적으로 열유동해석을 통해 최적화된 구조설계로 주연소실의 체적을 약 70% 증대시키므로 연소배가스의 체류시간이 증대되는 효과를 얻을 수 있었고, 이를 통해 설계한 파이로트 화장로를 제작하여 다양한 운전조건에서 연소거동을 실험하고 주연소실 형상별 최적의 운전방안을 도출하였다. 이렇게 도출된 결과를 반영하여 실증 화장로를 설계하고, P시 Y화장장에 설치하였다. 실증 화장로 조업을 통해 최적 연소조건을 도출할 수 있었고, 고온의 연소배가스의 체류시간 증대에 따른 에너지 효율의 증대효과로 기존대비 화장시간 및 연료사용량을 최소화할 수 있었다. 즉, 화장시간은 기존 화장로 조업대비 44.1% 단축된 38 min이었고, 연료사용량은 기존 화장로 대비 54.4% 절감된 $21.8Nm^3$이었다.

인공신경망을 이용한 연료셀 형상 최적화 연구 (A Study on Configuration Optimization for Rotorcraft Fuel Cells based on Neural Network)

  • 김현기;김성찬;이종원;황인희
    • 한국전산구조공학회논문집
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    • 제25권1호
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    • pp.51-56
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    • 2012
  • 회전익 항공기에 광범위하게 적용되고 있는 내충격성 연료셀은 항공기 추락 시 탑승자의 생존성 향상에 크게 기여하고 있다. 미육군에서는 항공기 추락 후 화재에 의한 인명손실을 원천적으로 방지하기 위해 군용 회전익기 역사의 초기 단계부터 연료셀 고유의 내충격성에 관련된 군사규격을 제정하여 적용해 왔다. 국외 전문제작 업체들은 장기간의 경험에 의존하여 연료셀을 개발하고 있으며, 충돌충격시험에 따른 시행착오의 결과를 설계 및 제작과정에 재반영하고 있다. 이러한 연료셀 충돌충격시험은 시편자체의 제작비용 및 준비기간이 상당히 소요되므로, 설계 초기단계부터 충돌충격시험에 대한 일련의 수치적 모사를 통해 실물에 의한 시행착오의 가능성을 최소화해야 한다. 본 연구에서는 충돌모사 프로그램인 Autodyn으로 연료셀 충돌충격시험에 대한 다수의 수치해석을 수행, 등가응력 분석을 통해 적절한 설계변수를 선정하였다. 또한 인공신경망과 모의풀림 방법을 연동시켜 연료셀 형상을 내충격성능 측면에서 최적화하였다.