• 제목/요약/키워드: Reliability-based analysis

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일차근사신뢰도법을 이용한 초전도 자기에너지 저장장치 권선 최적설계 (Optimization of SMES Windings Utilizing the First-Order Reliability Method)

  • 김동욱;정상식;성영화;김동훈
    • 전기학회논문지
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    • 제60권7호
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    • pp.1354-1359
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    • 2011
  • This paper presents a novel methodology for improving the reliability of electromagnetic devices and machines based on the reliability-based design optimization method. To achieve this, the method includes reliability analysis and optimization process taking into account uncertainties of design variables. One of the first-order reliability analysis techniques, called reliability index approach, is adopted to evaluate the reliability of performance functions with respect to probabilistic design variables. The proposed method has been successfully applied to designing a superconducting magnetic energy storage system. For verifying the efficiency and accuracy of the method, the results are compared with those of conventional optimization methods.

On procedures for reliability assessment of mechanical systems and structures

  • Schueller, G.I.
    • Structural Engineering and Mechanics
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    • 제25권3호
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    • pp.275-289
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    • 2007
  • In this paper a brief overview of methods to assess the reliability of mechanical systems and structures is presented. A selection of computational procedures, stochastic structural dynamics, stochastic fatigue crack growth and reliability based optimization are discussed. It is shown that reliability based methods may form the basis for a rational decision making.

A new structural reliability analysis method based on PC-Kriging and adaptive sampling region

  • Yu, Zhenliang;Sun, Zhili;Guo, Fanyi;Cao, Runan;Wang, Jian
    • Structural Engineering and Mechanics
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    • 제82권3호
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    • pp.271-282
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    • 2022
  • The active learning surrogate model based on adaptive sampling strategy is increasingly popular in reliability analysis. However, most of the existing sampling strategies adopt the trial and error method to determine the size of the Monte Carlo (MC) candidate sample pool which satisfies the requirement of variation coefficient of failure probability. It will lead to a reduction in the calculation efficiency of reliability analysis. To avoid this defect, a new method for determining the optimal size of the MC candidate sample pool is proposed, and a new structural reliability analysis method combining polynomial chaos-based Kriging model (PC-Kriging) with adaptive sampling region is also proposed (PCK-ASR). Firstly, based on the lower limit of the confidence interval, a new method for estimating the optimal size of the MC candidate sample pool is proposed. Secondly, based on the upper limit of the confidence interval, an adaptive sampling region strategy similar to the radial centralized sampling method is developed. Then, the k-means++ clustering technique and the learning function LIF are used to complete the adaptive design of experiments (DoE). Finally, the effectiveness and accuracy of the PCK-ASR method are verified by three numerical examples and one practical engineering example.

Performance-based reliability assessment of RC shear walls using stochastic FE analysis

  • Nosoudi, Arina;Dabbagh, Hooshang;Yazdani, Azad
    • Structural Engineering and Mechanics
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    • 제80권6호
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    • pp.645-655
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    • 2021
  • Performance-based reliability analysis is a practical approach to investigate the seismic performance and stochastic nonlinear response of structures considering a random process. This is significant due to the uncertainties involved in every aspect of the analysis. Therefore, the present study aims to evaluate the performance-based reliability within a stochastic finite element (FE) framework for reinforced concrete (RC) shear walls that are considered as one of the most essential elements of structures. To accomplish this purpose, deterministic FE analyses are conducted for both squat and slender shear walls to validate numerical models through experimental results. The presented numerical analysis is performed by using the ABAQUS FE program. Afterwards, a random-effects investigation is carried out to consider the influence of different random variables on the lateral load-top displacement behavior of RC members. Using these results and through utilizing the Monte-Carlo simulation method, stochastic nonlinear analyses are also performed to generate random FE models based on input parameters and their probabilistic distributions. In order to evaluate the reliability of RC walls, failure probabilities and corresponding reliability indices are calculated at life safety and collapse prevention levels of performance as suggested by FEMA 356. Moreover, based on reliability indices, capacity reduction factors are determined subjected to shear for all specimens that are designed according to the ACI 318 Building Code. Obtained results show that the lateral load and the compressive strength of concrete have the highest effects on load-displacement responses compared to those of other random variables. It is also found that the probability of shear failure for the squat wall is slightly lower than that for slender walls. This implies that 𝛽 values are higher in a non-ductile mode of failure. Besides, the reliability of both squat and slender shear walls does not change significantly in the case of varying capacity reduction factors.

수명예측 방법에 따른 계전기의 수명분석 (Life Analysis of Relays based on Life Prediction Method)

  • 신건영;이덕규;이희성
    • 한국안전학회지
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    • 제27권4호
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    • pp.115-120
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    • 2012
  • In order to establish preventive maintenance standards through analysis & reliability prediction of about 60,000pcs of 20kindsof relays and contractors used for Seoul subway trains, several life prediction methodologies were applied. Firstly, Occurrence, Severity, Detection were defined and predicted by applying operation characteristic of EMU to the number of actions of relays & contactors which the manufacturers generally offer as the life cycle data. Secondly, failure distribution and average life of parts were analyzed through interpretation of field data based on a lot of experience which had built up in the field for a long time. Finally, using the 217PLUS standard as a reliability prediction program, comparative analysis of use reliability and inherent reliability was done through reliability prediction at the part level and system level.

차체 기본 진동 모드를 고려한 필러 단면의 신뢰성 최적설계 (Reliability-Based Optimal Design of Pillar Sections Considering Fundamental Vibration Modes of Vehicle Body Structure)

  • 이상범;임홍재
    • 한국공작기계학회논문집
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    • 제13권6호
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    • pp.107-113
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    • 2004
  • This paper presents the pillar section optimization technique considering the reliability of the vehicle body structure consisted of complicated thin-walled panels. The response surface method is utilized to obtain the response surface models that describe the approximate performance functions representing the system characteristics on the section properties of the pillar and on the mass and the natural frequencies of the vehicle B.I.W. The reliability-based design optimization on the pillar sections Is performed and compared with the conventional deterministic optimization. The FORM is applied for the reliability analysis of the vehicle body structure. The developed optimization system is applied to the pillar section design considering the fundamental natural frequencies of passenger car body structure. By applying the proposed RBDO technique, it can be possible to optimize the pillar sections considering the reliability that engineers require.

Real-time unsaturated slope reliability assessment considering variations in monitored matric suction

  • Choi, Jung Chan;Lee, Seung Rae;Kim, Yunki;Song, Young Hoon
    • Smart Structures and Systems
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    • 제7권4호
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    • pp.263-274
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    • 2011
  • A reliability-based slope stability assessment method considering fluctuations in the monitored matric suction was proposed for real-time identification of slope risk. The assessment model was based on the limit equilibrium model for infinite slope failure. The first-order reliability method (FORM) was adopted to calculate the probability of slope failure, and results of the model were compared with Monte-Carlo Simulation (MCS) results to validate the accuracy and efficiency of the model. The analysis shows that a model based on Advanced First-Order Reliability Method (AFORM) generates results that are in relatively good agreement with those of the MCS, using a relatively small number of function calls. The contribution of random variables to the slope reliability index was also examined using sensitivity analysis. The results of sensitivity analysis indicate that the effective cohesion c' is a significant variable at low values of mean matric suction, whereas matric suction ($u_a-u_w$) is the most influential factor at high mean suction values. Finally, the reliability indices of an unsaturated model soil slope, which was monitored by a wireless matric suction measurement system, were illustrated as 2D images using the suggested probabilistic model.

Reliability analysis of Industrial plant reinforced concrete columns

  • Cheng, Zhengjie;Yao, Jitao;Gao, Jun
    • Advances in concrete construction
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    • 제14권2호
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    • pp.131-137
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    • 2022
  • Based on the design of reinforced concrete columns in Chinese design codes, the failure function of reinforced concrete (RC) columns cannot be expressed as a linear function. This makes it difficult to reveal the level of reliability control in Chinese design code. Therefore, the failure function of dimensionless form is established in this paper, and the typical components (Industrial plant columns) are selected for analysis. At last, numerical simulation proves that the proposed model can be used to analysis reliability of columns. The results based on this model indicate that there is a strong difference in the reliability of RC columns designed with different design parameters, and the reliability would be lower when the eccentricity produced by crane load is smaller.

Component-Based System Reliability using MCMC Simulation

  • ChauPattnaik, Sampa;Ray, Mitrabinda;Nayak, Mitalimadhusmita;Patnaik, Srikanta
    • Journal of information and communication convergence engineering
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    • 제20권2호
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    • pp.79-89
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    • 2022
  • To compute the mean and variance of component-based reliability software, we focused on path-based reliability analysis. System reliability depends on the transition probabilities of components within a system and reliability of the individual components as basic input parameters. The uncertainty in these parameters is estimated from the test data of the corresponding components and arises from the software architecture, failure behaviors, software growth models etc. Typically, researchers perform Monte Carlo simulations to study uncertainty. Thus, we considered a Markov chain Monte Carlo (MCMC) simulation to calculate uncertainty, as it generates random samples through sequential methods. The MCMC approach determines the input parameters from the probability distribution, and then calculates the average approximate expectations for a reliability estimation. The comparison of different techniques for uncertainty analysis helps in selecting the most suitable technique based on data requirements and reliability measures related to the number of components.

가설부재의 신속성 설계기준에 관한 연구 (A Study on Reliability Based Design Criteria for Erection Members)

  • 민경주
    • 한국안전학회지
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    • 제6권3호
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    • pp.56-63
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    • 1991
  • 본 연구는 가설부재의 신뢰성 설계규준을 고찰하고, Ellingwood가 제안한 신뢰성 해석과 신뢰성 설계규준 산정 알고리즘으로 부터 실용적인 알고리즘을 유도하였다. 하중의 불확실량은 우리의 실정을 고려한 적절한 값을 택하여 신뢰성 해석 및 신뢰성 설계규준을 산정했다. 현행 WSD와 USD 설계법의 신뢰성 수준을 분석함으로써, 우리 실정에 적당한 목표신뢰성지수 $\beta$$_{o}$ =3.5를 택하여 LRFD설계규준에 의한 하중-저항계수를 제안했으며, 신뢰성 설계와 비슷한 신뢰성을 갖는 WSD의 강재의 허용응력을 산정제안했다. 본 연구에서 제안한 신뢰성 설계규준 및 허용응력은 일정한 신뢰성을 주는 보다 합리적인 설계가 됨을 알 수 있었다.

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