• 제목/요약/키워드: Strain Prediction Model

검색결과 388건 처리시간 0.024초

Sensitivity analysis of flexural strength of RC beams influenced by reinforcement corrosion

  • Hosseini, Seyed A.;Shabakhty, Naser;Khankahdani, Fardin Azhdary
    • Structural Engineering and Mechanics
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    • 제72권4호
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    • pp.479-489
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    • 2019
  • The corrosion of reinforcement leads to a gradual decay of structural strength and durability. Several models for crack occurrence prediction and crack width propagation are investigated in this paper. Analytical and experimental models were used to predict the bond strength in the period of corrosion propagation. The manner of flexural strength loss is calculated by application of these models for different scenarios. As a new approach, the variation of the concrete beam neutral axis height has been evaluated, which shows a reduction in the neutral axis height for the scenarios without loss of bond. Alternatively, an increase of the neutral axis height was observed for the scenarios including bond and concrete section loss. The statistical properties of the parameters influencing the strength have been deliberated associated with obtaining the time-dependent bending strength during corrosion propagation, using Monte Carlo (MC) random sampling method. Results showed that the ultimate strain in concrete decreases significantly as a consequence of the bond strength reduction during the corrosion process, when the section reaches to its final limit. Therefore, such sections are likely to show brittle behavior.

회전하는 타이어의 동특성을 고려한 진동에너지 하베스터 성능 예측 (Performance Prediction of Vibration Energy Harvester considering the Dynamic Characteristics of Rotating Tires)

  • 나혜중
    • 한국기계가공학회지
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    • 제19권10호
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    • pp.87-97
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    • 2020
  • In general, tires require various sensors and power supply devices, such as batteries, to obtain information such as pressure, temperature, acceleration, and the friction coefficient between the tire and the road in real time. However, these sensors have a size limitation because they are mounted on a tire, and their batteries have limited usability due to short replacement cycles, leading to additional replacement costs. Therefore, vibration energy harvesting technology, which converts the dynamic strain energy generated from the tire into electrical energy and then stores the energy in a power supply, is advantageous. In this study, the output voltage and power generated from piezoelectric elements are predicted through finite element analysis under static state and transient state conditions, taking into account the dynamic characteristics of tires. First, the tire and piezoelectric elements are created as a finite element model and then the natural frequency and mode shapes are identified through modal analysis. Next, in the static state, with the piezoelectric element attached to the inside of the tire, the voltage distribution at the contact surface between the tire and the road is examined. Lastly, in the transient state, with the tire rotating at the speeds of 30 km/h and 50 km/h, the output voltage and power characteristics of the piezoelectric elements attached to four locations inside the tire are evaluated.

타이타늄 압연재의 기계학습 기반 극저온/상온 변형거동 예측 (Prediction of Cryogenic- and Room-Temperature Deformation Behavior of Rolled Titanium using Machine Learning)

  • 천세호;유진영;이성호;이민수;전태성;이태경
    • 소성∙가공
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    • 제32권2호
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    • pp.74-80
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    • 2023
  • A deformation behavior of commercially pure titanium (CP-Ti) is highly dependent on material and processing parameters, such as deformation temperature, deformation direction, and strain rate. This study aims to predict the multivariable and nonlinear tensile behavior of CP-Ti using machine learning based on three algorithms: artificial neural network (ANN), light gradient boosting machine (LGBM), and long short-term memory (LSTM). The predictivity for tensile behaviors at the cryogenic temperature was lower than those in the room temperature due to the larger data scattering in the train dataset used in the machine learning. Although LGBM showed the lowest value of root mean squared error, it was not the best strategy owing to the overfitting and step-function morphology different from the actual data. LSTM performed the best as it effectively learned the continuous characteristics of a flow curve as well as it spent the reduced time for machine learning, even without sufficient database and hyperparameter tuning.

대향류 메탄/공기 확산화염에서 복사모델이 소화한계에 미치는 영향 (Effect of Radiation Models on the Suppression Limits in Counterflow Methane/Air Diffusion Flames)

  • 문선여;조재호;황철홍;오창보;박원희
    • 한국화재소방학회논문지
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    • 제28권3호
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    • pp.20-28
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    • 2014
  • 대향류 메탄/공기 확산화염에서 복사모델이 소화한계에 미치는 영향이 수치적으로 검토되었으며, 수치결과의 검증을 위하여 기초실험이 병행되었다. 소화약제로는 $N_2$$CO_2$가 고려되었으며, 다른 정확도를 갖는 복사모델 OTM과 SNB에 따른 소화농도의 차이가 검토되었다. 주요 결과로서, $N_2$가 첨가된 경우, 복사모델의 정확도에 따라 소화농도의 큰 차이가 발생되지 않는다. 그러나 강한 복사효과를 갖는 $CO_2$가 낮은 신장율의 화염에 첨가되었을 때, SNB와 같은 예측 정확도가 높은 복사모델이 고려되어야 한다. 특히 연료에 첨가된 $CO_2$의 경우 복사모델 SNB와 OTM에 의한 소화농도는 차이를 갖게 된다. 따라서 소화농도 예측을 위해서는 수치해의 정확도와 계산시간을 고려한 합리적인 복사모델의 선택이 필수적이라 할 수 있다.

열교차단장치가 적용된 철근 콘크리트 슬래브의 휨거동 예측을 위한 해석모델 (Analytical Models for the Prediction of the Flexural Behavior for Thermal Bridge Breaker Systems embedded in Reinforced Concrete Slabs)

  • 신동현;김형준
    • 한국전산구조공학회논문집
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    • 제28권3호
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    • pp.325-333
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    • 2015
  • 최근들어 철근콘크리트 슬래브와 벽의 연결부에 적용 가능한 열교차단장치에 대한 연구가 다수 수행되고 있다. 이에 본 연구에서는 열교차단장치가 적용된 슬래브의 균열 전 탄성거동, 균열 후 항복거동 및 극한강도까지 적용이 가능한 해석모델을 제안하고, 실험결과와의 비교를 통하여 제안 모델의 정확도를 검증하고자 하였다. 해석모델은 변형률 적합조건과 힘의 평형개념을 적용하였으며, 이 때 구성 재료의 응력-변형률 관계는 재료실험 결과를 적용하였다. 해석모델의 신뢰성 검증을 위해 모멘트-곡률 관계, 하중단계에 따른 중립축을 실험결과와 비교하였으며, 제안된 해석모델은 실험결과로 획득한 전체적인 휨거동 양상과 거의 일치함을 확인할 수 있었다.

모아레 간섭계와 모델교정법을 이용한 솔더 합금의 점소성 물성치 역추정 (Inverse Estimation of Viscoplastic Properties of Solder Alloy Using Moir$\acute{e}$ Interferometry and Computer Model Calibration)

  • 강진혁;이봉희;주진원;최주호
    • 한국전산구조공학회논문집
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    • 제24권1호
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    • pp.97-106
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    • 2011
  • 본 연구에서는 전자패키지에 사용되는 솔더 재료의 점소성 물성치를 규명하였다. 이를 위해 전자패키지와 비슷한 변형을 보이는 시편을 제작하였고 모아레 간섭계를 이용하여 열사이클 하에서의 변형을 측정한 뒤 시편의 굽힘 변위와 솔더의 전단 변형률을 구하였다. 시편에 대해 점소성 유한요소해석을 실시하였고 해석 결과가 실험 결과에 일치하도록 물성치를 역으로 추정하였다. 실험에서 발생한 측정오차와 실험횟수 부족 등의 불확실성을 고려하기 위해 컴퓨터 모델 교정법을 이용하였고, 그 결과 추정된 물성치는 평균 및 신뢰구간으로 표현되었으며, 이로 인한 유한요소해석 결과도 마찬가지로 평균 및 신뢰구간으로 표현되었다.

강부재의 대변형 예측을 위한 3차원 탄소성 유한변위해석의 정식화에 대한 비교연구 (A Comparative Study on Formulation of Three-Dimensional Elastic-Plastic Finite Deformation Analysis for Prediction Large Deflection)

  • 장갑철;장경호
    • 한국공간구조학회논문집
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    • 제6권4호
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    • pp.53-61
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    • 2006
  • 본 연구에서는 임의의 반복하중 작용시 강구조물에 발생하는 대변형 및 반복소성거동을 정확히 예측하기 위하여 유한변위이론과 반복소성이력모델을 적용한 3차원 탄소성 유한요소 해석기법을 개발하였다. 반복소성이력모델은 강재의 단조재하실험 및 반복하중실험 결과에 기초하여 정식화되었다. 개발된 해석기법의 정도는 Bilinear모델 및 미소변위이론을 적용한 해석기법 및 실험결과와 비교하여 검증하였다. 본 연구에서 개발한 유한변위이론과 반복소성이력모델을 적용한 3차원 유한요소 해석기법이 임의의 반복하중을 받는 원형강교각의 대변형 및 반복소성거동을 정확히 예측할 수 있음을 알 수 있었다.

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비선형 이동경화를 고려한 점소성 모델의 내연적 적분 (A Semi-Implicit Integration for Rate-Dependent Plasticity with Nonlinear Kinematic Hardening)

  • 윤삼손;이순복
    • 대한기계학회논문집A
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    • 제27권9호
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    • pp.1562-1570
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    • 2003
  • The prediction of the inelastic behavior of the structure is an essential part of reliability assessment procedure, because most of the failures are induced by the inelastic deformation, such as creep and plastic deformation. During decades, there has been much progress in understanding of the inelastic behavior of the materials and a lot of inelastic constitutive equations have been developed. The complexity of these constitutive equations generally requires a stable and accurate numerical method. The radial return mapping is one of the most robust integration scheme currently used. Nonlinear kinematic hardening model of Armstrong-Fredrick type has recovery term and the direction of kinematic hardening increment is not parallel to that of plastic strain increment. In this case, The conventional radial return mapping method cannot be applied directly. In this investigation, we expanded the radial return mapping method to consider the nonlinear kinematic hardening model and implemented this integration scheme into ABAQUS by means of UMAT subroutine. The solution of the non-linear system of algebraic equations arising from time discretization with the generalized midpoint rule is determined using Newton method and bisection method. Using dynamic yield condition derived from linearization of flow rule, the integration scheme for elastoplastic and viscoplastic constitutive model was unified. Several numerical examples are considered to demonstrate the efficiency and applicability of the present method.

온간 딮 드로잉에서 이종금속판재(STS430-Al3004-AZ31)의 파단 및 두께 예측을 위한 연구 (Prediction for Thickness and Fracture of Stainless Steel-Aluminum-Magnesium Multilayered Sheet during Warm Deep Drawing)

  • 이영선;이광석;김대용
    • 소성∙가공
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    • 제21권1호
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    • pp.49-57
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    • 2012
  • It is difficult to estimate the properties of multilayered sheet because they are composed of one or more different materials. Plastic deformation behavior of the multilayered sheet is quite different as compared to each material individually. The deformation behavior of multilayered sheet should be investigated in order to prevent forming defects and to predict the properties of the formed part. In this study, the mechanical properties and formability of stainless steel-aluminum-magnesium multilayered sheet were investigated. The multilayered sheet needs to be deformed at an elevated temperature because of its poor formability at room temperature. Uniaxial tensile tests were performed at various temperatures and strain rates. Fracture patterns changed mainly at a temperature of $200^{\circ}C$. Uniform and total elongation of multilayered sheet increased to values greater than those of each material when deformed at $250^{\circ}C$. The limiting drawing ratio (LDR) was obtained using a circular cup deep drawing test to measure the formability of the multilayered sheet. A maximum value for the LDR of about 2 was achieved at $250^{\circ}C$, which is the appropriate forming temperature for the Mg alloy. Fracture patterns on a circular cup and thickness of formed part were predicted by a rigid-viscoplastic FEM analysis. Two kinds of modeling techniques were used to simulate deep drawing process of multilayered sheet. A single-layer FE-model, which combines the three different layers into a macroscopic single layer, predicted well the thickness distribution of the drawn cup. In contrast, the location and the time of fracture were estimated better with a multi-layer FE model, which used different material properties for each of the three layers.

Analysis of the buckling failure of bedding slope based on monitoring data - a model test study

  • Zhang, Qian;Hu, Jie;Gao, Yang;Du, Yanliang;Li, Liping;Liu, Hongliang;Sun, Shangqu
    • Geomechanics and Engineering
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    • 제28권4호
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    • pp.335-346
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    • 2022
  • Buckling failure is a typical slope instability mode that should be paid more attention to. It is difficult to provide systematic guidance for the monitoring and management of such slopes due to unclear mechanism. Here we examine buckling failure as the potential instability mode for a slope above a railway tunnel in southwest China. A comprehensive model test system was developed that can be used to conduct buckling failure experiments. The displacement, stress, and strain of the slope were monitored to document the evolution of buckling failure during the experiment. Monitoring data reveal the deformation and stress characteristics of the slope with different slipping mass thicknesses and under different top loads. The test results show that the slipping mass is the main subject of the top load and is the key object of monitoring. Displacement and stress precede buckling failure, so maybe useful predictors of impending failure. However, the response of the stress variation is earlier than displacement variation during the failure process. It is also necessary to monitor the bedrock near the slip face because its stress evolution plays an important role in the early prediction of instability. The position near the slope foot is most prone to buckling failure, so it should be closely monitored.