• 제목/요약/키워드: normalized displacement

검색결과 87건 처리시간 0.025초

EVALUATION MODEL FOR RESTRAINT EFFECT OF PRESSURE INDUCED BENDING ON THE PLASTIC CRACK OPENING OF A CIRCUMFERENTIAL THROUGH-WALL CRACK

  • Kim, Jin-Weon
    • Nuclear Engineering and Technology
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    • 제39권1호
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    • pp.75-84
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    • 2007
  • This paper presents a closed-form model for evaluating the restraint effect of pressure induced bending on the opening of a circumferential through-wall crack, which is considered plastic deformation behavior. Three-dimensional finite element analyses with different crack lengths, restraint conditions, pipe geometries, magnitudes of internal pressure, and tensile properties were used to investigate the influence of each parameter on the pressure-induced bending restraint on the crack opening displacement. From these investigations, an analytical model based on elastic-perfectly plastic material was developed in terms of the crack length, symmetric restraint length, mean radius to thickness ratio, axial stress corresponding to the internal pressure, and normalized crack opening displacement evaluated from a linear-elastic crack opening condition. Finite element analyses results demonstrate that the proposed analytical model reliably estimated the restraint effect of pressure-induced bending on the plastic crack opening of a circumferential through-wall crack and properly reflected the dependence on each parameter within the range over which the analytical expression was derived.

점성 감쇠기를 이용한 인접 비대칭 강성 구조물의 내진보강 최적설계 (Optimal Seismic Reinforcement Design of Adjacent Asymmetric-Stiffness Structures with Viscous Dampers)

  • 성은희
    • 한국안전학회지
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    • 제37권6호
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    • pp.60-70
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    • 2022
  • This paper proposes an optimal design method of a seismic reinforcement system for the seismic performance of adjacent asymmetric-stiffness structures with viscous dampers. The first method considers plan asymmetry for efficient seismic reinforcement, and evaluates the seismic performance of optimal design applied to two cases of modeling: adjacent stiffness-asymmetric structures and adjacent stiffness-symmetric structures. The second method considers the response of asymmetric structures to derive the optimal objective function, and evaluates seismic efficiency of the objective function applied to two cases of responses: horizontal displacement and torsion. Numerical analyses are conducted on 7- and 10-story structures with a uni-asymmetric-stiffness plan using six cases of historic earthquakes, normalized to 0.4g. The results indicate that the seismic performance is excellent as modeled by adjacent asymmetric-stiffness structures and how much horizontal displacement is applied as the objective function.

얕은 정현형(正弦型) 아치의 분기좌굴에 관한 연구 (A study on the bifurcation buckling for shallow sinusoidal Arches)

  • 김승덕;권택진;박지윤
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1998년도 봄 학술발표회 논문집
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    • pp.457-464
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    • 1998
  • The equilibrium path of shallow sinusoidal arches supported by hinges at both ends is investigated. The displacement increment method is used to get the solution of the nonlinear differential equations for these structures and to plot the equilibrium paths by the results. Using the equilibrium paths, the relations between the position of buckling point and buckling type for the case of sinusoidal distributed loads are inferred. From the result that the buckling type changes according to the normalized rise of arch, it is also shown that the arch rise is the governing factor to stability regions

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In-depth exploration of machine learning algorithms for predicting sidewall displacement in underground caverns

  • Hanan Samadi;Abed Alanazi;Sabih Hashim Muhodir;Shtwai Alsubai;Abdullah Alqahtani;Mehrez Marzougui
    • Geomechanics and Engineering
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    • 제37권4호
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    • pp.307-321
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    • 2024
  • This paper delves into the critical assessment of predicting sidewall displacement in underground caverns through the application of nine distinct machine learning techniques. The accurate prediction of sidewall displacement is essential for ensuring the structural safety and stability of underground caverns, which are prone to various geological challenges. The dataset utilized in this study comprises a total of 310 data points, each containing 13 relevant parameters extracted from 10 underground cavern projects located in Iran and other regions. To facilitate a comprehensive evaluation, the dataset is evenly divided into training and testing subset. The study employs a diverse array of machine learning models, including recurrent neural network, back-propagation neural network, K-nearest neighbors, normalized and ordinary radial basis function, support vector machine, weight estimation, feed-forward stepwise regression, and fuzzy inference system. These models are leveraged to develop predictive models that can accurately forecast sidewall displacement in underground caverns. The training phase involves utilizing 80% of the dataset (248 data points) to train the models, while the remaining 20% (62 data points) are used for testing and validation purposes. The findings of the study highlight the back-propagation neural network (BPNN) model as the most effective in providing accurate predictions. The BPNN model demonstrates a remarkably high correlation coefficient (R2 = 0.99) and a low error rate (RMSE = 4.27E-05), indicating its superior performance in predicting sidewall displacement in underground caverns. This research contributes valuable insights into the application of machine learning techniques for enhancing the safety and stability of underground structures.

An investigation on tunnel deformation behavior of expressway tunnels

  • Chen, Shong-Loong;Lee, Shen-Chung
    • Geomechanics and Engineering
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    • 제21권2호
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    • pp.215-226
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    • 2020
  • The magnitude and distribution of tunnel deformation were widely discussed topics in tunnel engineering. In this paper, a three-dimensional (3D) finite element program was used for the analysis of various horseshoe-shaped opening expressway tunnels under different geologies. Two rock material models - Mohr-Coulomb and Hoek-Brown were executed in the process of analyses; and the results show that the magnitude and distribution of tunnel deformation were close by these two models. The tunnel deformation behaviors were relevant to many factors such as cross-sections and geological conditions; but the geology was the major factor to the normalized longitudinal deformation profile (LDP). If the time-dependent factors were neglected, the maximum displacements were located at the distance of 3 to 4 tunnel diameters behind the excavation face. The ratios of displacement at the excavation face to the maximum displacement were around 1/3 to 1/2. In general, the weaker the rock mass, the larger the ratio. The displacements in front of the excavation face were decreased with the increasement of distance. At the distance of 1.0 to 1.5 tunnel diameter, the displacements were reduced to one-tenth of the maximum displacement.

A completely non-contact recognition system for bridge unit influence line using portable cameras and computer vision

  • Dong, Chuan-Zhi;Bas, Selcuk;Catbas, F. Necati
    • Smart Structures and Systems
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    • 제24권5호
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    • pp.617-630
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    • 2019
  • Currently most of the vision-based structural identification research focus either on structural input (vehicle location) estimation or on structural output (structural displacement and strain responses) estimation. The structural condition assessment at global level just with the vision-based structural output cannot give a normalized response irrespective of the type and/or load configurations of the vehicles. Combining the vision-based structural input and the structural output from non-contact sensors overcomes the disadvantage given above, while reducing cost, time, labor force including cable wiring work. In conventional traffic monitoring, sometimes traffic closure is essential for bridge structures, which may cause other severe problems such as traffic jams and accidents. In this study, a completely non-contact structural identification system is proposed, and the system mainly targets the identification of bridge unit influence line (UIL) under operational traffic. Both the structural input (vehicle location information) and output (displacement responses) are obtained by only using cameras and computer vision techniques. Multiple cameras are synchronized by audio signal pattern recognition. The proposed system is verified with a laboratory experiment on a scaled bridge model under a small moving truck load and a field application on a footbridge on campus under a moving golf cart load. The UILs are successfully identified in both bridge cases. The pedestrian loads are also estimated with the extracted UIL and the predicted weights of pedestrians are observed to be in acceptable ranges.

Relationship between Dimensionless Leg Stiffness and Kinetic Variables during Gait Performance, and its Modulation with Body Weight

  • Hyun, Seung Hyun;Ryew, Che Cheong
    • 한국운동역학회지
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    • 제26권3호
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    • pp.249-255
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    • 2016
  • Objective: This purpose of this study was to analyze the relationship between dimensionless leg stiffness and kinetic variables during gait performance, and its modulation with body weight. Method: The study sample consisted of 10 young women divided into 2 groups (Control, n=5 and Obese, n=5). Four camcorders (HDR-HC7/HDV 1080i, Sony Corp, Japan) and one force plate (AMTI., USA) were used to analyze the vertical ground reaction force (GRF) variables, center of pressure (COP), low limb joint angle, position of pelvis center and leg lengths during the stance phase of the gait cycle. Results: Our results revealed that the center of mass (COM) displacement velocity along the y-axis was significantly higher in the obese group than that in control subjects. Displacement in the position of the center of the pelvis center (Z-axis) was also significantly higher in the obese group than that in control subjects. In addition, the peak vertical force (PVF) and dimensionless leg stiffness were also significantly higher in the obese group. However, when normalized to the body weight, the PVF did not show a significant between-group difference. When normalized to the leg length, the PVF and stiffness were both lower in the obese group than in control subjects. Conclusion: In the context of performance, we concluded that increased dimensionless leg stiffness during the gait cycle is associated with increased velocity of COM, PVF, and the change in leg lengths (%).

마이크로파일로 보강된 교량기초의 정규화 거동 평가 (Evaluation of Normalized Behaviors of Bridge Foundations Reinforced by Micropiles)

  • 박성완;정동진;곽기석;이주형
    • 한국지반공학회논문집
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    • 제23권5호
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    • pp.5-14
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    • 2007
  • 본 연구에서는 마이크로파일로 보강된 기존 교량기초에 대한 정규화 거동을 평가하였다. 기존 교량기초에 대한 보강효과를 정량화하고 마이크로파일의 거동을 예측하기 위하여 유한요소해석에 의한 수치해석을 실시하였다. 또한 경사지게 보강된 마이크로파일의 설치효과를 수직으로 보강된 경우에 대하여 비교하였다. 해석결과 경사진 마이크로파일이 기존교량 기초에 보강한 경우 수직의 경우 수직, 수평하중에 대하여 각각 변위를 저감시켜 효과적인 보강이 되고 있으며 효과가 큼을 확인하였다. 한편 마이크로파일의 보강 각도는 수직하중이 작용하는 경우 $15^{\circ}{\sim}20^{\circ}$에서 가장 큰 효율을 나타냈으며, 수평하중이 작용하는 경우 마이크로파일의 보강 각도가 증가함에 따라 그 효과가 나타났다. 따라서 마이크로파일에 의한 기존 교량기초에 대한 보강은 기초의 공용성능을 향상시킬 수 있는 하나의 방법이 되고 있음을 잘 보여주고 있다.

Numerical study on bearing behavior of pile considering sand particle crushing

  • Wu, Yang;Yamamoto, Haruyuki;Yao, Yangping
    • Geomechanics and Engineering
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    • 제5권3호
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    • pp.241-261
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    • 2013
  • The bearing mechanism of pile during installation and loading process which controls the deformation and distribution of strain and stress in the soil surrounding pile tip is complex and full of much uncertainty. It is pointed out that particle crushing occurs in significant stress concentrated region such as the area surrounding pile tip. The solution to this problem requires the understanding and modeling of the mechanical behavior of granular soil under high pressures. This study aims to investigate the sand behavior around pile tip considering the characteristics of sand crushing. The numerical analysis of model pile loading test under different surcharge pressure with constitutive model for sand crushing is presented. This constitutive model is capable of predicting the dilatancy of soil from negative to positive under low confining pressure and only negative dilatancy under high confining pressure. The predicted relationships between the normalized bearing stress and normalized displacement are agreeable with the experimental results during the entire loading process. It is estimated from numerical results that the vertical stress beneath pile tip is up to 20 MPa which is large enough to cause sand to be crushed. The predicted distribution area of volumetric strain represents that the distributed area shaped wedge for volumetric contraction is beneath pile tip and distributed area for volumetric expansion is near the pile shaft. It is demonstrated that the finite element formulation incorporating a constitutive model for sand with crushing is capable of producing reasonable results for the pile loading problem.

암석코어시편의 절리면 직접전단시험을 위한 겉보기 면적 계산방법 (Calculation Method for Nominal Area of Rock Core Specimen During Direct Shear Test)

  • 강훈;박정욱;박찬;오태민;조정우
    • 터널과지하공간
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    • 제30권6호
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    • pp.551-558
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    • 2020
  • 기존 시험법은 암석시편의 절리면 직접전단시험시 겉보기 면적의 변화를 고려해야 한다고 명시하고 있다. 본 기술보고는 암석코어 시편의 절리면 직접전단시험시 겉보기 면적 계산방법을 제시하였다. 암석코어 시편의 초기 절리면을 타원으로 가정하고, 타원의 중첩면적 감소를 계산하는 수식을 정리하였다. 전단변위와 겉보기 면적을 정규화하면 타원형상에 관계없이 일정한 변화 비율을 가지는 것을 확인하였다. 암석코어 시편 전단시험을 위한 정규화 실험상수를 제안하여 일반화된 계산방법을 제안하였다. 그 방법을 실제 전단시험의 데이터에 적용하여 결과 변화값을 확인하고, 정확도에 대해 간략히 토의하였다.