• Title/Summary/Keyword: model reinforcement

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Experimental study on high gravity dam strengthened with reinforcement for seismic resistance on shaking table

  • Wang, Mingming;Chen, Jianyun;Fan, Shuli;Lv, Shaolan
    • Structural Engineering and Mechanics
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    • v.51 no.4
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    • pp.663-683
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    • 2014
  • In order to study the dynamic failure mechanism and aseismic measure for high concrete gravity dam under earthquake, the comparative models experiment on the shaking table was conducted to investigate the dynamic damage response of concrete gravity dam with and without the presence of reinforcement and evaluate the effectiveness of the strengthening measure. A new model concrete was proposed and applied for maintaining similitude with the prototype. A kind of extra fine wires as a substitute for rebar was embedded in four-points bending specimens of the model concrete to make of reinforced model concrete. The simulation of reinforcement concrete of the weak zones of high dam by the reinforced model concrete meets the similitude requirements. A tank filled with water is mounted at the upstream of the dam models to simulate the reservoir. The Peak Ground Acceleration (PGA) that induces the first tensile crack at the head of dam is applied as the basic index for estimating the overload capacity of high concrete dams. For the two model dams with and without strengthening tested, vulnerable parts of them are the necks near the crests. The results also indicate that the reinforcement is beneficial for improving the seismic-resistant capacity of the gravity dam.

Deep Reinforcement Learning of Ball Throwing Robot's Policy Prediction (공 던지기 로봇의 정책 예측 심층 강화학습)

  • Kang, Yeong-Gyun;Lee, Cheol-Soo
    • The Journal of Korea Robotics Society
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    • v.15 no.4
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    • pp.398-403
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    • 2020
  • Robot's throwing control is difficult to accurately calculate because of air resistance and rotational inertia, etc. This complexity can be solved by using machine learning. Reinforcement learning using reward function puts limit on adapting to new environment for robots. Therefore, this paper applied deep reinforcement learning using neural network without reward function. Throwing is evaluated as a success or failure. AI network learns by taking the target position and control policy as input and yielding the evaluation as output. Then, the task is carried out by predicting the success probability according to the target location and control policy and searching the policy with the highest probability. Repeating this task can result in performance improvements as data accumulates. And this model can even predict tasks that were not previously attempted which means it is an universally applicable learning model for any new environment. According to the data results from 520 experiments, this learning model guarantees 75% success rate.

Solving Survival Gridworld Problem Using Hybrid Policy Modified Q-Based Reinforcement

  • Montero, Vince Jebryl;Jung, Woo-Young;Jeong, Yong-Jin
    • Journal of IKEEE
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    • v.23 no.4
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    • pp.1150-1156
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    • 2019
  • This paper explores a model-free value-based approach for solving survival gridworld problem. Survival gridworld problem opens up a challenge involving taking risks to gain better rewards. Classic value-based approach in model-free reinforcement learning assumes minimal risk decisions. The proposed method involves a hybrid on-policy and off-policy updates to experience roll-outs using a modified Q-based update equation that introduces a parametric linear rectifier and motivational discount. The significance of this approach is it allows model-free training of agents that take into account risk factors and motivated exploration to gain better path decisions. Experimentations suggest that the proposed method achieved better exploration and path selection resulting to higher episode scores than classic off-policy and on-policy Q-based updates.

Improvement of Constructability of Coping by Reduction of Reinforcement Amount (철근량 저감을 통한 코핑부 시공성 향상)

  • Park, Bong-Sik;Park, Sung-Hyun;Cho, Jae-Yeol
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.1577-1582
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    • 2011
  • Recently rapid construction of bridge is a main interest in construction. A research on rapid construction of pier coping is urgently needed because pier, which is a bridge understructure, directly affect lane reduction and increase of social cost. Precast assembly method and pre-assembly method are the main subjects of rapid construction. But these researches have focused not on reduction of reinforcement amount, but on modifying production method of coping. Reinforcement amount of design specification is as much as that of coping under constructing. So different approach is needed for reduction of reinforcement amount. In this paper, design of pier coping using strut-tie model was proposed for reduction of reinforcement amount and improvement of constructability. Railway bridge pier coping under constructing was analyzed using a finite element method and designed using strut-tie model.

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New Hollow RC Bridge Pier Sections with Triangular Reinforcement Details: II. Parametric Study (삼각망 철근상세를 갖는 새로운 중공 철근콘크리트 교각단면: II. 매개변수 연구)

  • Kim, Tae-Hoon;Kim, Ho-Young;Son, Je-Kuk
    • Journal of the Earthquake Engineering Society of Korea
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    • v.19 no.3
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    • pp.121-132
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    • 2015
  • The purpose of this study is to investigate the behavior characteristics of new hollow reinforced concrete (RC) bridge pier sections with triangular reinforcement details and to provide the details and reference data. Among the numerous parameters, this study concentrates on the shape of the section, the reinforcement details and the spacing of the transverse reinforcement. Additional eight column section specimens were tested under quasi-static monotonic loading. In this study, the computer program, named RCAHEST (Reinforced Concrete Analysis in Higher Evaluation System Technology), was used. A innovative confining effect model was adopted for new hollow bridge pier sections. This study documents the testing of new hollow RC bridge pier sections with triangular reinforcement details and presents conclusions based on the experimental and analytical findings.

The Analytical Model for the Reinforcement Bar Connection in Grout-Filled Steel Pipe Sleeve (모르터 충전 강관 슬리브를 이용한 철근 이음의 해석 모델)

  • 황재호;이용재;이원호;이리형
    • Proceedings of the Korea Concrete Institute Conference
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    • 1997.10a
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    • pp.519-526
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    • 1997
  • The purpose of this study is to develop the analytical model for the reinforcement bar connection in group-filled steel pipe sleeve, which consists of beam elements for the reinforcement bar and shell elements for the sleeve and the mortar and spring elements for the bond stress-slip relationship. In the reinforcement bar connection using grout-filled steel pipe sleeve, the major variables are the bond stiffness between reinforcement bar and mortar($K_1$) and between sleeve and mortar($K_2$). It is nearly difficult to predict the exact bond stiffness with the experimental results. Therefore, The linearly elastic analyses using ABAQUS, FEM package show the validity of the mathematical equations for the bond stiffness and the choice of material elements in this paper. To predict the behaviour between yield and ultimate tensile strength, the nonlinear analyses must be performed henceforth.

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A Study on the Effect of Underground Openings on the Stability of Surface Structures Using Scaled Model Tests (지하 채굴적이 지표 구조물의 안정성에 미치는 영향에 관한 모형실험 연구)

  • 김종우;전석원;서영호
    • Tunnel and Underground Space
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    • v.14 no.1
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    • pp.43-53
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    • 2004
  • In this study, scaled-model tests were performed to investigate the effect of underground openings on the stability of surface structure around the abandoned coal mine areas. Four types of test models which had respectively different depths of openings and different ground reinforcement conditions were introduced, where the modelling materials were the mixture of sand, plaster and water. The model with deep openings were turned out more stable to the structure than the model with shallow ones, because the crack-initiating pressure of the former was 2.5 times as much as that of the latter. The models with ground reinforcement were also fumed out more stable than the model without reinforcement, because the crack-initiating pressure of the former was 2.4 times as much as that of the latter. Subsidence profiles were analysed to find the characteristics of slope and curvature, and the model with large reinforcement were turned out the most stable.

Curvature ductility of confined HSC beams

  • Bouzid Haytham;Idriss Rouaz;Sahnoune Ahmed;Benferhat Rabia;Tahar Hassaine Daouadji
    • Structural Engineering and Mechanics
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    • v.89 no.6
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    • pp.579-588
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    • 2024
  • The present paper investigates the curvature ductility of confined reinforced concrete (RC) beams with normal (NSC) and high strength concrete (HSC). For the purpose of predicting the curvature ductility factor, an analytical model was developed based on the equilibrium of internal forces of confined concrete and reinforcement. In this context, the curvatures were calculated at first yielding of tension reinforcement and at ultimate when the confined concrete strain reaches the ultimate value. To best simulate the situation of confined RC beams in flexure, a modified version of an ancient confined concrete model was adopted for this study. In order to show the accuracy of the proposed model, an experimental database was collected from the literature. The statistical comparison between experimental and predicted results showed that the proposed model has a good performance. Then, the data generated from the validated theoretical model were used to train the artificial neural network (ANN) prediction model. The R2 values for theoretical and experimental results are equal to 0.98 and 0.95, respectively which proves the high performance of the ANN model. Finally, a parametric study was implemented to analyze the effect of different parameters on the curvature ductility factor using theoretical and ANN models. The results are similar to those extracted from experiments, where the concrete strength, the compression reinforcement ratio, the yield strength, and the volumetric ratio of transverse reinforcement have a positive effect. In contrast, the ratio and the yield strength of tension reinforcement have a negative effect.

Effects of viscous damping models on a single-layer latticed dome during earthquakes

  • Zhang, Huidong;Wang, Jinpeng;Zhang, Xiaoshuai;Liu, Guoping
    • Structural Engineering and Mechanics
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    • v.62 no.4
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    • pp.455-464
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    • 2017
  • Rayleigh damping model is recommended in the recently developed Performance-Based Earthquake Engineering (PBEE) methodology, but this methodology does not provide sufficient information due to the complexity of the damping mechanism. Furthermore, each Rayleigh-type damping model may have its individual limitations. In this study, Rayleigh-type damping models that are used widely in engineering practice are discussed. The seismic performance of a large-span single-layer latticed dome subjected to earthquake ground motions is investigated using different Rayleigh damping models. Herein a simulation technique is developed considering low cycle fatigue (LCF) in steel material. In the simulation technique, Ramberg-Osgood steel material model with the low cycle fatigue effect is used to simulate the non-uniformly distributed material damping and low cycle fatigue damage in the structure. Subsequently, the damping forces of the structure generated by different damping models are compared and discussed; the effects of the damping ratio and roof load on the damping forces are evaluated. Finally, the low cycle fatigue damage values in sections of members are given using these damping models. Through a comparative analysis, an appropriate Rayleigh-type damping model used for a large span single-layer latticed dome subjected to earthquake ground motions is determined in terms of the existing damping models.

Model Test of Lining for Estimation of Tunnel Soundness (터널 건전도 평가를 위한 라이닝 모델실험)

  • Kim, Young Keun
    • Magazine of korean Tunnelling and Underground Space Association
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    • v.1 no.2
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    • pp.59-71
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    • 1999
  • Recently, many deformations in tunnel such as crack and leakage were occulted. Specially, the defects of tunnel lining have been a serious problem in safety and stability many repair works for maintenance in tunnel have been carried out. Therefore, it is necessary to estimate the structural cracking for countermeasure in deformed tunnel and to investigate on the characteristics of lining system and the soundness of tunnel. In this study model tests for tunnel lining were carried out using test apparatus and centrifuge, In the direct loading test, the prototype was Kyungbu high-speed railway tunnel and the scale is 1/10, and lining models were made of concrete. Test conditions included load conditions such as direction, shape and type, lining conditions such as single and double lining, thickness, and reinforcement. In centrifuge model test, the prototype was Seoul subway tunnel and the scale is 1/100, and lining models were made of aluminum and hydrostone. Test conditions included tunnel defects such as thickness shortage. behind cavity and longitudinal cracks, reinforcement methods such as epoxy, grouting and carbon sheet. From these model tests , the characteristics of deformation and failure for tunnel lining were estimated, and the structural behaviors of deformed lining and the effects of repair and reinforcement for tunnel lining were researched.

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