• 제목/요약/키워드: Deterministic Analysis

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체계신뢰성에 기초한 교량의 시스템여용성 및 저항강도 평가 (SYSTEM RELIABILITY-BASED EVALUATION OF BRIDGE SYSTEM REDUNDANCY AND STRENGTH)

  • 조효남;이승재;임종권
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1993년도 가을 학술발표회논문집
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    • pp.240-247
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    • 1993
  • The precise prediction of reserved carrying capacity of bridge as a system is extremely difficult especially when the bridges are highly redundant and significantly deteriorated or damaged. This paper is intended to propose a new approach for the evaluation of reserved system carrying capacity of bridges in terms of equivalent system-strength, which may be defined as a bridge system-strength corresponding to the system reliability of the bridge. This can be derived from an inverse process based on the concept of FOSM form of system reliability index. It may be emphasized that this approach is very useful for the evaluation of the deterministic system redundancy and reserve strength which are measured in terms of either probabilistic system redundancy factor and reserve factor or deterministic system redundancy factor and reserve factor. The system reliability of bridges is formulated as a parallel-series model obtained from the FAM(Failure Mode Approach) based on the major failure mechanisms. AFOSM and IST methods are used for the reliability analysis of the proposed models. The proposed approach and method for the system redundancy and reserve safety/strength are applied to the safety assessment of actual RC and steel box-girder bridges. The results of the evaluation of reserved system safety or bridge system-strength in terms of the system redundancy and the system safety/strength are significantly different from those of element reliability-based or conventional methods.

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Reliability-Based Design Optimization using Semi-Numerical Strategies for Structural Engineering Applications

  • Kharmanda, G.;Sharabatey, S.;Ibrahim, H.;Makhloufi, A.;Elhami, A.
    • International Journal of CAD/CAM
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    • 제9권1호
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    • pp.1-16
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    • 2010
  • When Deterministic Design Optimization (DDO) methods are used, deterministic optimum designs are frequently pushed to the design constraint boundary, leaving little or no room for tolerances (or uncertainties) in design, manufacture, and operating processes. In the Reliability-Based Design Optimization (RBDO) model for robust system design, the mean values of uncertain system variables are usually used as design variables, and the cost is optimized subject to prescribed probabilistic constraints as defined by a nonlinear mathematical programming problem. Therefore, a RBDO solution that reduces the structural weight in uncritical regions does not only provide an improved design but also a higher level of confidence in the design. In this work, we seek to improve the quality of RBDO processes using efficient optimization techniques with object of improving the resulting objective function and satisfying the required constraints. Our recent RBDO developments show its efficiency and applicability in this context. So we present some recent structural engineering applications demonstrate the efficiency of these developed RBDO methods.

Nonlinear finite element analysis of reinforced concrete corbels at both deterministic and probabilistic levels

  • Strauss, Alfred;Mordini, Andrea;Bergmeister, Konrad
    • Computers and Concrete
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    • 제3권2_3호
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    • pp.123-144
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    • 2006
  • Reinforced concrete corbels are structural elements widely used in practical engineering. The complex response of these elements is described in design codes in a simplified manner. These formulations are not sufficient to show the real behavior, which, however, is an essential prerequisite for the manufacturing of numerous elements. Therefore, a deterministic and probabilistic study has been performed, which is described in this contribution. Real complex structures have been modeled by means of the finite element method supported primarily by experimental works. The main objective of this study was the detection of uncertainties effects and safety margins not captured by traditional codes. This aim could be fulfilled by statistical considerations applied to the investigated structures. The probabilistic study is based on advanced Monte Carlo simulation techniques and sophisticated nonlinear finite element formulations.

A fuzzy residual strength based fatigue life prediction method

  • Zhang, Yi
    • Structural Engineering and Mechanics
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    • 제56권2호
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    • pp.201-221
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    • 2015
  • The fatigue damage problems are frequently encountered in the design of civil engineering structures. A realistic and accurate fatigue life prediction is quite essential to ensure the safety of engineering design. However, constructing a reliable fatigue life prediction model can be quite challenging. The use of traditional deterministic approach in predicting the fatigue life is sometimes too dangerous in the real practical designs as the method itself contains a wide range of uncertain factors. In this paper, a new fatigue life prediction method is going to be proposed where the residual strength is been utilized. Several cumulative damage models, capable of predicting the fatigue life of a structural element, are considered. Based on Miner's rule, a randomized approach is developed from a deterministic equation. The residual strength is used in a one to one transformation methodology which is used for the derivation of the fatigue life. To arrive at more robust results, fuzzy sets are introduced to model the parameter uncertainties. This leads to a convoluted fuzzy based fatigue life prediction model. The developed model is illustrated in an example analysis. The calculated results are compared with real experimental data. The applicability of this approach for a required reliability level is also discussed.

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.

최적화 기법을 활용한 UAM 버티포트 수용량 산정방법 연구 (A Study on the UAM Vertiport Capacity Calculation MethodUsing Optimization Technique)

  • 이승준;백호종;박장훈
    • 한국항공운항학회지
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    • 제31권2호
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    • pp.55-65
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    • 2023
  • Due to extreme urbanization, ground transportation in the city center is saturated, and problems such as the lack of expansion infrastructure and traffic congestion increase social costs. To solve this problem, a 3D mobility platform, Urban Air Mobility (UAM), has emerged as a new alternative. A vertiport is a physical space that conducts a similar role to an airport terminal. Vertiport consists of take-off and landing facilities (TLOF, Touchdown and Lift-Off area), space for boarding and disembarking from UAM aircraft (gates), taxiways, and passenger terminals. The type of vertiport (structure, number of facilities) and concept of operations are key variables that determine the number of UAM aircraft that can be accommodated per hour. In this study, a capacity calculation method was presented using an optimization technique (Deterministic Integer Linear Programming). The absolute capacity of the vertiport was calculated using an optimization technique, and a sensitivity analysis was also performed.

Adaptive energy group division in the few-group cross-section generation for full spectrum reactor modeling with deterministic method

  • Yichen Yang;Youqi Zheng;Xianan Du;Hongchun Wu
    • Nuclear Engineering and Technology
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    • 제56권6호
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    • pp.2019-2028
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    • 2024
  • Advanced nuclear reactors, especially the newly developed small and micro-reactors have complex neutron spectrum, which makes the deterministic reactor core calculations sensitive to the energy group structure of few-group cross-sections. To avoid significantly increasing the cost of energy discretization in the core calculation, two energy group structures with 31 groups and 33 groups were adopted for typical thermal and fast reactor cores, respectively. Then, an adaptive scheme of group division for reactor cores with a medium neutron spectrum was proposed. The works were based on the full spectrum nuclear reactor analysis code SARAX/TULIP. An equivalent one-dimensional model of the core was proposed to capture the key neutron spectrum features of the reactor core. Such features were used to adaptively determine a few-group structure for the following reactor core calculations. Then, the neutron spectrum in different zones with more details was calculated. With this spectrum, the cross-sections were condensed into the determined energy groups. Three tests based on different neutron spectrum were calculated to verify the schemes. The results show that using the adaptive energy group division scheme, the following core calculation can meet the accuracy requirement of different reactors with different neutron spectra.

확률론적 구조신뢰성해석을 이용한 터빈발전기 기초의 지진 안전성 평가 (Seismic Safety Assessment of the Turbine-Generator Foundation using Probabilistic Structural Reliability Analysis)

  • 조양희;김재석;한성호
    • 한국지진공학회논문집
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    • 제12권2호
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    • pp.33-44
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    • 2008
  • 교량, 항만 및 각종 구조물과 산업설비에 대한 설계는 주로 결정론적 해석방법(Deterministic Analysis)에 의해 수행되고 있다. 그러나 구조물에 내재된 확률변수의 불확실성에 대한 영향을 보다 명확하게 평가할 뿐만 아니라 경제적인 설계를 위해서는 보다 개선된 평가방안이 요구된다. 이 연구에서는 터빈발전기 기초를 대상으로 합리적인 설계를 위해 확률유한요소법을 이용한 구조신뢰성해석을 수행하였다. 이를 위해 확률유한요소법을 신뢰성이론에 적합하도록 정식화하였으며, 대상 구조물의 부재강성 및 지진하중 등을 확률변수로 고려하여 동적응답해석 및 구조신뢰성해석을 효율적으로 수행할 수 있는 개선된 해석프로그램을 작성하였다. 작성된 해석프로그램을 이용하여 주요부재의 변위 및 부재력 응답에 대한 분산특성을 검토하였다. 아울러, 구조신뢰성해석에 따른 신뢰성지수 및 파괴확률을 제시함으로써, 대상 구조물의 구조 안전성을 정량적으로 평가하였다. 이 연구결과는 향후, 터빈발전기 기초의 개선된 설계방안을 설정함에 있어 기초자료를 제공할 것으로 기대된다.

순간전압강하 보상을 위한 확률론적 위험도 분석 연구 (Probabilistic Method of Risk Assessment in Voltage Sag Mitigation Studies)

  • 한종훈;장길수;박창현
    • 전기전자학회논문지
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    • 제14권3호
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    • pp.236-243
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    • 2010
  • 전력품질 문제는 다양한 산업분야에서 중요한 역할을 차지한다. 전력품질솔루션 선택의 폭은 점점 다양해지고 있으며, 특히 순간전압강하와 정전에 대한 보상장치를 선정하는 것은 전력회사나 수용가 모두에게 중요한 과제이다. 이것은 기술적인 관점에서 뿐만 아니라 경제적인 관점에서도 같이 고려되어야 하는데 불행히도 지금까지는 주로 경험에 의해 결정되어졌다. 본 논문에서는 순간전압강하 보상장치 선정을 위한 위험도 분석을 확정적 방법과 확률론적 방법으로 수명비용을 계산하여 두 가지 방법의 결과 해석에 대한 차이점을 모의사례를 통하여 비교하고자한다.

중성자 잡음해석에 의한 PWR 노심 운동상태 감시 (Neutron Noise Analysis for PWR Core Motion Monitoring)

  • Yun, Won-Young;Koh, Byung-Jun;Park, In-Yong;No, Hee-Cheon
    • Nuclear Engineering and Technology
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    • 제20권4호
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    • pp.253-264
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    • 1988
  • 본 논문에서는 불란서에서 건설한 900 MWe급 가압경수형 원자로의 중성자 잡음해석 결과를 제시하였다. 중성자 잡음해석이란 노심내의 반응도 변화 및 노심의 수평운동으로 인한 노외검출기 신호의 변화를 해석하는 기법을 의미한다 이러한 방법은 Deterministic Dynamic Testing 기법중에서도 발전소의 정상운전 조건을 유지시키며 기존의 발전소 계측설비를 이용할 수 있다는 장점을 지니고 있다. 본 논문에 사용된 잡음신호는 울진 1호기 원자로의 시운전 시험기간에 구하였으며 이를 통계적 기술함수인 에너지 밀도함수(PSD), 검출기간의 상관함수 (CF)및 위상차(Phase Difference)로 나타내었다. 실험결과, 원자로 용기내의 냉각수 흐름 및 압력맥동 등에 의해 유도되는 Core Support Barrel(CSB)의 진동 주파수가 8Hz 근처임을 규명하였다.

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