• 제목/요약/키워드: Seismic response control structure

검색결과 202건 처리시간 0.026초

지진절연 건물내 유체동적효과가 큰 수중계의 지진응답특성 (Seismic Response Characteristics of Submerged Systems with Large Hydrodynamic Effect in Base-isolated Structure)

  • Shin, Tae-Myung;Kim, Kwang-Joon
    • 소음진동
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    • 제7권4호
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    • pp.655-661
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    • 1997
  • 건물내 동적계가 수중에 있고 유체동적효과가 클 경우, 건물을 지진절연하면 일반적인 경향과는 달리 계의 지진응답이 오히려 증가될 수 있다. 본 논문에서는 건물내 수조에 잠긴 계에 대하여 단순화된 복합모델의 동적해석을 통하여 건물의 지진절연이 건물내 수중계의 지진응답에 어떻게 그리고, 최대로 얼마나 영향을 주는지를 보인다. 이 때 응답을 줄이기 위한 내진설계방안으로서 유체질량효과를 조절하는 유체간극의 최적화를 수행하여 그 효과를 살펴보았고, 간극조절이 곤란한 경우의 대안으로서 지진절연된 건물내 수중계를 다시 지진절연하는 방안을 제안하였으며 적절한 이중절연방식의 조합에 대한 효율을 비교하였다.

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Deep Q-Network를 이용한 준능동 제어알고리즘 개발 (Development of Semi-Active Control Algorithm Using Deep Q-Network)

  • 김현수;강주원
    • 한국공간구조학회논문집
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    • 제21권1호
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    • pp.79-86
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    • 2021
  • Control performance of a smart tuned mass damper (TMD) mainly depends on control algorithms. A lot of control strategies have been proposed for semi-active control devices. Recently, machine learning begins to be applied to development of vibration control algorithm. In this study, a reinforcement learning among machine learning techniques was employed to develop a semi-active control algorithm for a smart TMD. The smart TMD was composed of magnetorheological damper in this study. For this purpose, an 11-story building structure with a smart TMD was selected to construct a reinforcement learning environment. A time history analysis of the example structure subject to earthquake excitation was conducted in the reinforcement learning procedure. Deep Q-network (DQN) among various reinforcement learning algorithms was used to make a learning agent. The command voltage sent to the MR damper is determined by the action produced by the DQN. Parametric studies on hyper-parameters of DQN were performed by numerical simulations. After appropriate training iteration of the DQN model with proper hyper-parameters, the DQN model for control of seismic responses of the example structure with smart TMD was developed. The developed DQN model can effectively control smart TMD to reduce seismic responses of the example structure.

다중 지진 시나리오를 고려한 원전 격납구조물의 조건부 평균 스펙트럼 기반 지진취약도 평가 (Seismic Fragility Assessment of NPP Containment Structure based on Conditional Mean Spectra for Multiple Earthquake Scenarios)

  • 박원호;박지훈
    • 한국지진공학회논문집
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    • 제23권6호
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    • pp.301-309
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    • 2019
  • A methodology to assess seismic fragility of a nuclear power plant (NPP) using a conditional mean spectrum is proposed as an alternative to using a uniform hazard response spectrum. Rather than the single-scenario conditional mean spectrum, which is the conventional conditional mean spectrum based on a single scenario, a multi-scenario conditional mean spectrum is proposed for the case in which no single scenario is dominant. The multi-scenario conditional mean spectrum is defined as the weighted average of different conditional mean spectra, each one of which corresponds to an individual scenario. The weighting factors for scenarios are obtained from a deaggregation of seismic hazards. As a validation example, a seismic fragility assessment of an NPP containment structure is performed using a uniform hazard response spectrum and different single-scenario conditional mean spectra and multi-scenario conditional mean spectra. In the example, the number of scenarios primarily influences the median capacity of the evaluated structure. Meanwhile, the control frequency, a key parameter of a conditional mean spectrum, plays an important role in reducing logarithmic standard deviation of the corresponding fragility curves and corresponding high confidence of low probability of failure (HCLPF) capacity.

모달 퍼지 이론을 이용한 지진하중을 받는 구조물의 능동제어 (Active control for Seismic Response Reduction using Modal-fuzzy Approach)

  • Choi, Kang-Min;Cho, Sang-Won;Oh, Ju-Won;Lee, In-Won
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2004년도 봄 학술발표회 논문집
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    • pp.409-416
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    • 2004
  • An active modal-fuzzy control method using hydraulic actuators is presented for seismic response reduction. In the proposed control system, a new fuzzy controller designed in the modal space produces the desired active control force. This type controller has all advantages of the fuzzy control algorithm and modal approach. Since it is very difficult to select input variables used in fuzzy controller among an amount of state variables in the active fuzzy control system the presented algorithm adopts the modal control algorithm which is able to consider more easily information of all state variables in civil structures that are usually dominated by first few modes. In other words, all information of the whole structure can be considered in the control algorithm evaluated to reduce seismic responses and it can be efficient for especially civil structures. In addition, the presented algorithm is expected to magnify utility and performance caused by efficiency that the fuzzy algorithm can handle complex model more easily. An active modal-fuzzy control scheme is applied together with a Kalman filter and a low-pass filter to be applicable to real civil structures. A Kalman filter is considered to estimate modal states and a low-pass filter was used to eliminate spillover problem. The results of the numerical simulations far a wide amplitude range o f loading conditions and for historic earthquakes having various frequency components show that the proposed active modal-fuzzy control system can be beneficial in reducing seismic responses of civil structures.

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모달 퍼지 이론을 이용한 지진하중을 받는 구조물의 능동제어 (Active control for Seismic Response Reduction using Modal-fuzzy Approach)

  • 최강민;박규식;김춘호;이인원
    • 한국지진공학회:학술대회논문집
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    • 한국지진공학회 2005년도 학술발표회 논문집
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    • pp.513-520
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    • 2005
  • An active modal-fuzzy control method using hydraulic actuators is presented for seismic response reduction. In the proposed control system, a new fuzzy controller designed in the modal space produces the desired active control force. This type controller has all advantages of the fuzzy control algorithm and modal approach. Since it is very difficult to select input variables used in fuzzy controller among an amount of state variables in the active fuzzy control system, the presented algorithm adopts the modal control algorithm which is able to consider more easily information of all state variables in civil structures that are usually dominated by first few modes. In other words, all information of the whole structure can be considered in the control algorithm evaluated to reduce seismic responses and it can be efficient for especially civil structures. In addition, the presented algorithm is expected to magnify utility and performance caused by efficiency that the fuzzy algorithm can handle complex model more easily. An active modal-fuzzy control scheme is applied together with a Kalman filter and a low-pass filter to be applicable to real civil structures. A Kalman filter is considered to estimate modal states and a low-pass filter was used to eliminate spillover problem. The results of the numerical simulations for a wide amplitude range of loading conditions show that the proposed active modal-fuzzy control system can be beneficial in reducing seismic responses of civil structures.

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Energy dissipation system for earthquake protection of cable-stayed bridge towers

  • Abdel Raheem, Shehata E.;Hayashikawa, Toshiro
    • Earthquakes and Structures
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    • 제5권6호
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    • pp.657-678
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    • 2013
  • For economical earthquake resistant design of cable-stayed bridge tower, the use of energy dissipation systems for the earthquake protection of steel structures represents an alternative seismic design method where the tower structure could be constructed to dissipate a large amount of earthquake input energy through inelastic deformations in certain positions, which could be easily retrofitted after damage. The design of energy dissipation systems for bridges could be achieved as the result of two conflicting requirements: no damage under serviceability limit state load condition and maximum dissipation under ultimate limit state load condition. A new concept for cable-stayed bridge tower seismic design that incorporates sacrificial link scheme of low yield point steel horizontal beam is introduced to enable the tower frame structure to remain elastic under large seismic excitation. A nonlinear dynamic analysis for the tower model with the proposed energy dissipation systems is carried out and compared to the response obtained for the tower with its original configuration. The improvement in seismic performance of the tower with supplemental passive energy dissipation system has been measured in terms of the reduction achieved in different response quantities. Obtained results show that the proposed energy dissipation system of low yield point steel seismic link could strongly enhance the seismic performance of the tower structure where the tower and the overall bridge demands are significantly reduced. Low yield point steel seismic link effectively reduces the damage of main structural members under earthquake loading as seismic link yield level decreases due their exceptional behavior as well as its ability to undergo early plastic deformations achieving the concentration of inelastic deformation at tower horizontal beam.

Experimental study on tuned liquid damper performance in reducing the seismic response of structures including soil-structure interaction effect

  • Lou, Menglin;Zong, Gang;Niu, Weixin;Chen, Genda;Cheng, Franklin Y.
    • Structural Engineering and Mechanics
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    • 제24권3호
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    • pp.275-290
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    • 2006
  • In this paper, the performance of a tuned liquid damper (TLD) in suppressing the seismic response of buildings is investigated with shake table testing of a four-story steel frame model that rests on pile foundation. The model tests were performed in three phases with the steel frame structure alone, the soil and pile foundation system, and the soil-foundation-structure system, respectively. The test results from different phases were compared to study the effect of soil-structure interaction on the efficiency of a TLD in reducing the peak response of the structure. The influence of a TLD on the dynamic response of the pile foundation was investigated as well. Three types of earthquake excitations were considered with different frequency characteristics. Test results indicated that TLD can suppress the peak response of the structure up to 20% regardless of the presence of soils. TLD is also effective in reducing the dynamic responses of pile foundation.

Seismic test of modal control with direct output feedback for building structures

  • Lu, Lyan-Ywan
    • Structural Engineering and Mechanics
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    • 제12권6호
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    • pp.633-656
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    • 2001
  • In this paper, modal control with direct output feedback is formulated in a systematic manner for easy implementation. Its application to the seismic protection of structural systems is verified by a shaking table test, which involves a full-scale building model and an active bracing system as the control device. Two modal control cases, namely, one full-state feedback and one direct output feedback control were tested and compared. The experimental result shows that in mitigating the seismic response of building structures, modal control with direct output feedback can be as effective and efficient as that with full-state feedback control. For practical concerns, the control performance of the proposed method in the presence of sensor noise and stiffness modeling error was also investigated. The numerical result shows that although the control force may be increased, the maximum floor displacements of the controlled structure are very insensitive to sensor noise and modeling error.

스마트 TMD 제어를 위한 강화학습 알고리즘 성능 검토 (Performance Evaluation of Reinforcement Learning Algorithm for Control of Smart TMD)

  • 강주원;김현수
    • 한국공간구조학회논문집
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    • 제21권2호
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    • pp.41-48
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    • 2021
  • A smart tuned mass damper (TMD) is widely studied for seismic response reduction of various structures. Control algorithm is the most important factor for control performance of a smart TMD. This study used a Deep Deterministic Policy Gradient (DDPG) among reinforcement learning techniques to develop a control algorithm for a smart TMD. A magnetorheological (MR) damper was used to make the smart TMD. A single mass model with the smart TMD was employed to make a reinforcement learning environment. Time history analysis simulations of the example structure subject to artificial seismic load were performed in the reinforcement learning process. Critic of policy network and actor of value network for DDPG agent were constructed. The action of DDPG agent was selected as the command voltage sent to the MR damper. Reward for the DDPG action was calculated by using displacement and velocity responses of the main mass. Groundhook control algorithm was used as a comparative control algorithm. After 10,000 episode training of the DDPG agent model with proper hyper-parameters, the semi-active control algorithm for control of seismic responses of the example structure with the smart TMD was developed. The simulation results presented that the developed DDPG model can provide effective control algorithms for smart TMD for reduction of seismic responses.