• Title/Summary/Keyword: Reinforcement

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고장력 철근을 사용한 RC 보의 휨연성 평가 (Assessment of Flexural Ductility in RC Beams with High-Strength Reinforcement)

  • 권순범;윤영수;이만섭;임철현
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2001년도 봄 학술발표회 논문집
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    • pp.897-902
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    • 2001
  • Recently, structure performance is maximized by using high strength concrete. In design of structure, concrete need combination with reinforcement, but use of common strength reinforcement make member complex bar placement, so high strength concrete members require increased strength reinforcement. If common strength reinforcement replaced by equal tension area of high strength reinforcement, reinforcement ratio increase and brittle failure of member may occur by material change. So, adequate upper limit of strength ratio is required to affirm ductile behavior in application of high strength reinforcement. In this study, ductility behavior was analysed by factor of reinforcement ratio, strength of concrete and reinforcement. The result indicate that ductile failure is shown under 0.35 $\rho_{b}$ in any reinforcement strength of same section and high strength concrete of 800kg/$cm^{2}$ used commonly is compatible with reinforcement of 5500kg/$cm^{2}$.

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강화학습을 이용한 진화 알고리즘의 성능개선에 대한 연구 (A Study on Performance Improvement of Evolutionary Algorithms Using Reinforcement Learning)

  • 이상환;심귀보
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 추계학술대회 학술발표 논문집
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    • pp.420-426
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    • 1998
  • Evolutionary algorithms are probabilistic optimization algorithms based on the model of natural evolution. Recently the efforts to improve the performance of evolutionary algorithms have been made extensively. In this paper, we introduce the research for improving the convergence rate and search faculty of evolution algorithms by using reinforcement learning. After providing an introduction to evolution algorithms and reinforcement learning, we present adaptive genetic algorithms, reinforcement genetic programming, and reinforcement evolution strategies which are combined with reinforcement learning. Adaptive genetic algorithms generate mutation probabilities of each locus by interacting with the environment according to reinforcement learning. Reinforcement genetic programming executes crossover and mutation operations based on reinforcement and inhibition mechanism of reinforcement learning. Reinforcement evolution strategies use the variances of fitness occurred by mutation to make the reinforcement signals which estimate and control the step length.

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전단 보강재의 보강길이에 따른 기초판의 뚫림전단 성능평가 (Punching Shear Performance Evaluation of Foundation by Enforcement-length of Shear Head Reinforcement)

  • 이용재;이원호;양원직
    • 한국구조물진단유지관리공학회 논문집
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    • 제21권2호
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    • pp.60-68
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    • 2017
  • 본 연구에서는 지내력이 기초판에 미치는 영향을 충분히 고려할 수 있도록 현장여건과 동일한 옥외의 지반에서 실험할 수 있는 시스템을 구축하였으며, 대상 실험체는 경제성 및 시공성 향상을 위하여 강판을 "ㄷ"자형으로 절곡하여 단면 2차모멘트를 극대화 하고 현장조립이 가능하도록 제안 하였다. 대상 실험체는 무보강 실험체 1개, 강판 두께를 동일하게 하여 보강 길이를 달리한 실험체 3개, 강판 두께를 달리하고 위험단면 부근에 스티프너 보강한 실험체 2개 총 6개의 실험체를 대상으로 비교 검토 한다. 실험 결과 스티프너 보강에 의한 효과는 없는 것으로 나타났으며, 전단보강재의 보강길이는 확장된 위험단면에서 전단력을 지내력으로 나타낸 값과 위험단면에서 보강재가 받을 수 있는 전단내력을 지내력으로 환산여하여 두 선의 교차점을 유효보강 길이로 산정하는 강판두께별 유효보강길이 산정방법을 제안하였다.

A study about determination of preliminary design & minimum reinforcement ratios

  • KOC, Varol;EMIROGLU, Yusuf
    • Computers and Concrete
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    • 제17권5호
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    • pp.673-692
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    • 2016
  • In the standards, minimum reinforcement ratios are presented as the least reinforcement ratios that bearing elements should have in a way to include all systems and in general. However, naturally these general minimum ratios might be presented as being lower than the normally required reinforcement ratios by criteria such as system size, bearing system arrangement, section situation and distributions of the elements and earthquake effect. In this case, minimum reinforcement ratios may remain as meaningless restrictions. Then grouping the criterion that might affect reinforcement ratios according to certain parameters and creating minimum reinforcement ratios regarding preliminary design will provide ease and safety during the project designing. Moreover, it will enable fast and simple examinations in the beginning of project control and evaluation process. By means of the data which could be defined as "preliminary design & minimum reinforcement ratios", a more realistic and safe restriction compared to general minimum reinforcement ratios could be presented. As a result of numerous comprehensive studies, reinforcement ratios to include all certain systems might be obtained. Today, thanks to the development level of finite elements programs which can make reinforced concrete modelling, with the studies that are impossible to carry out beforehand, this deficiency in the minimum reinforcement ratios in the standarts may at least be partially made up with the advisory regulation of preliminary design & minimum reinforcement ratios. As the structure of the system to be examined and the diversity of the parameters range from the specific to the general, preliminary design & minimum reinforcement ratios will approximate to general minimum reinforcement ratios in real terms. By focusing on a more specific system structure and diversity of the parameters, preliminary design and even design reinforcement ratios will be approximated. In this preliminary study, a route between these two extremes was attempted to be followed. Today, it is possible to determine suggested practical ratios for project designs through carrying out numerous studies.

Comparison of value-based Reinforcement Learning Algorithms in Cart-Pole Environment

  • Byeong-Chan Han;Ho-Chan Kim;Min-Jae Kang
    • International Journal of Internet, Broadcasting and Communication
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    • 제15권3호
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    • pp.166-175
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    • 2023
  • Reinforcement learning can be applied to a wide variety of problems. However, the fundamental limitation of reinforcement learning is that it is difficult to derive an answer within a given time because the problems in the real world are too complex. Then, with the development of neural network technology, research on deep reinforcement learning that combines deep learning with reinforcement learning is receiving lots of attention. In this paper, two types of neural networks are combined with reinforcement learning and their characteristics were compared and analyzed with existing value-based reinforcement learning algorithms. Two types of neural networks are FNN and CNN, and existing reinforcement learning algorithms are SARSA and Q-learning.

횡방향 구속철근의 배근방법에 따른 철근콘크리트 교각의 연성 평가 및 탄소섬유 ROD의 적용 (Assessment of Ductility for the RC Piers with Transverse Reinforcement and Application of Carbon-Fiber Red)

  • 이영호;이학은
    • 콘크리트학회논문집
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    • 제14권1호
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    • pp.8-15
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    • 2002
  • This paper presents a study carried out for the seismic capacity in reinforced concrete(RC) piers by the confinement effect of transverse reinforcement as such a hooked-tied, welded-tied and spiral reinforcement. In order to assess the seismic capacity with transverse reinforcement, experiment리 and analytical methods were adopted. A RC column survey was conducted based on eight one-fourth scale single circular column specimens designed and tested under slow horizontal cyclic loads. Two cases were analyzed. The confinement effect of concrete by transverse reinforcement is considered not in Case 1 but in Case 2. Also, we studied the propriety of making use of the method in which a carbon fiber rod replace spiral reinforcement in RC piers. In experimental tests, a welded-tied and spiral reinforcement has a good seismic capacity, but a carbon fiber rod presents low ductility in comparison with a hooked-tied reinforcement. In an analytical study, displacement ductility is approximate to the experimental result because of considering the confinement effect of the transverse reinforcement. Even if the confinement effect of the transverse reinforcement is considered, the analytical results for ductility of the specimens with welded-tied and spiral reinforcement show an excessive underestimation of the experimental results.

강화 이론에 근거한 교사 보조 로봇 인터랙션 디자인: 수행도와 반응률 측정을 중심으로 (The Interaction Design of Teaching Assistant Robots Based on Reinforcement Theory: With an Emphasis on the Measurement of Task Performance and Reaction Rate)

  • 곽소나;이동규;이민구;한정혜;김명석
    • 로봇학회논문지
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    • 제1권2호
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    • pp.142-150
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    • 2006
  • This study examines whether the reinforcement theory would be effectively applied to teaching assistant robots between a robot and a student in the same way as it is applied to teaching methods between a teacher and a student. Participants interact with a teaching assistant robot in a 3 (types of robots: positive reinforcement vs. negative reinforcement vs. both reinforcements) by 2 (types of participants: honor students vs. backward students), within-subject experiment. Three different types of robots, such as 'Ching-chan-ee' which gives 'positive reinforcement', 'Um-bul-ee' which gives 'negative reinforcement', and 'Sang-bul-ee' which gives both 'positive and negative reinforcement' are designed based on the reinforcement theory and the token reinforcement system. Participants' task performance and reaction rate are measured according to the types of robots and the types of participants. In task performance, the negative reinforcement robot is more effective than the other two types, but regarding the number of stimulus, the less the stimulus is, the more effective the task performance is. Also, participants showed the highest reaction rate on the negative reinforcement robot which implies that the negative reinforcement robot is most effective to motivate students. The findings demonstrate that the participants perceive the teaching assistant robot not as a toy but as a teaching assistant and the reinforcement interaction is important and effective for teaching assistant robots to motivate students. The results of this study can be implicated as an effective guideline to interaction design of teaching assistant robots.

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지반보강재의 형상과 그라우팅 방법에 따른 보강효과 평가 (Evaluation of Reinforcement Effects According to Reinforcement Type and Grouting Method)

  • 박종서;김태연;이봉직
    • 한국지반환경공학회 논문집
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    • 제20권8호
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    • pp.13-20
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    • 2019
  • 지반보강을 위해 국내에서 널리 사용되고 있는 공법으로 약액주입공법, 앵커공법, 소일네일공법 및 마이크로파일공법 등을 들 수 있다. 이러한 지반보강공법은 보강재의 종류, 설치방법, 프리스트레스의 유무 및 그라우팅 방법에 따라 다양한 공법으로 개발되고 있으나, 공통적으로 지반보강재의 강성, 그라우트와 보강재의 마찰력 및 그라우트와 지반의 마찰력이 주요 설계변수이다. 따라서, 최적화된 지반보강재는 보강재 자체의 인장강도가 큰 재료로써 보강재와 그라우트사이의 마찰력이 크며, 그라우트와 지반사이의 마찰력을 향상시킬 수 있는 최적의 그라우팅 방법의 적용이 필요하다. 이에, 본 연구에서는 보강재의 형상과 그라우팅 방법에 따른 보강효과를 평가하고자 총 20여개의 실내모형실험을 실시하였으며, 실험결과 타공+날개보강형과 포스트그라우팅 방법이 보강 효과가 가장 우수한 것으로 나타났다.

토오컨강화와 사회적강화를 이용한 유아원 아동의 부적절한 학습행동의 수정 (Modifying Inappropriate Behaviors of Nursery School Children through Token and Social Reinforcement)

  • 김진숙
    • 아동학회지
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    • 제8권2호
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    • pp.61-71
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    • 1987
  • The effects of token and social reinforcement on inappropriate study behaviors of nursery school children were investigated. The subjects were three nursery school boys, and the target behaviors were : 1) out-of-seat behaviors, 2) bothering other children, and 3) disruptive behaviors. The ABAB(Reversal) design was used in this experiment. It consisted of four periods : baseline, reinforcement I, reversal, and reinforcement II. During the reinforcement period, social reinforcement as well as token reinforcement was applied. In all three subjects, inappropriate study behaviors decreased during the reinforcement periods (I, II), and increased during the reversal period, showing the effects of token and social reinforcement. The subjects showed stability in three post-experimental tests, indicating that modification of inappropriate study behaviors was being maintained.

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슬래브-기둥 접합부의 뚫림 전단강도에 대한 래티스 보강상세의 영향 (Effects of details of lattice reinforcement for punching shear strength of slab-column connections)

  • 김유니;박홍근
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2006년도 추계 학술발표회 논문집
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    • pp.17-20
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    • 2006
  • A flat plate-column connection is susceptible to brittle punching shear failure, which may result in the necessity of shear reinforcement. In previous, experimental tests were performed to study the capacity of slab-column connections strengthened with various shear reinforcement, and the capacity of the specimens with lattice reinforcement are superior to the others. In present study, to study for effects of details of lattice reinforcement, experimental studies was performed. Main parameters are the amount of lattice shear reinforcement, arrangement of lattice and the effect of flexural re-bar. And capacity of the specimen with small amount of lattice reinforcement was higher than the capacity of other shear reinforcement.

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