• Computers and Concrete
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• 제15권4호
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• pp.485-501
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• 2015

Cooling by the flow of water through an embedded cooling pipe has become a common and effective artificial thermal control measure for massive concrete structures. However, an extreme thermal gradient induces significant thermal stress, resulting in thermal cracking. Using a mesoscopic finite-element (FE) mesh, three-phase composites of concrete namely aggregate, mortar matrix and interfacial transition zone (ITZ) are modeled. An equivalent probabilistic model is presented for failure study of concrete by assuming that the material properties conform to the Weibull distribution law. Meanwhile, the correlation coefficient introduced by the statistical method is incorporated into the Weibull distribution formula. Subsequently, a series of numerical analyses are used for investigating the influence of the correlation coefficient on tensile strength and the failure process of concrete based on the equivalent probabilistic model. Finally, as an engineering application, damage and failure behavior of concrete cracks induced by a water-cooling pipe are analyzed in-depth by the presented model. Results show that the random distribution of concrete mechanical parameters and the temperature gradient near water-cooling pipe have a significant influence on the pattern and failure progress of temperature-induced micro-cracking in concrete.

• 한국항공우주학회지
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• 제38권6호
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• pp.537-546
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• 2010

본 연구는 최근 금속재를 대체하기 위하여 RTM법으로 개발된 헬리콥터 복합재 토크링크 구조에 대하여 피로 내구성 평가 절차와 기법에 대하여 고찰하였다. 피로내구성 평가에 필요한 운용수명 중 예상되는 피로하중스펙트럼을 산출하는데 보다 신뢰성이 높은 진보된 기법으로 확률적 랜덤처리 기법을 도입하였다. 그리고 불균질성이 큰 복합재에 대하여 재료의 피로특성치를 기반으로 하는 강도저하 접근법을 통하여 잔여강도와 피로파손확률 거동을 분석함으로써 보다 신뢰성 있는 내구성 평가를 수행하였다. 이때 강도저하파라미터 는 일련의 재료시편 피로시험 결과를 최대근사법을 사용하여 Weibull 파라미터를 해석함으로써 결정하였다. 또한 복합재 토크링크 실물시제에 대하여 피로내구성 시험을 수행하고 해석결과와 비교 검토하였다.

• 반도체디스플레이기술학회지
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• 제18권4호
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• pp.62-68
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• 2019

The optoelectronic display units such as TFT-LCD or OLED require many thin optical plastic films and their mass manufacturing processes employ CO2 laser cutting of those thin films in a large quantity. However, laser film cutting could generate fume particles through melt shearing, vaporization, and chemical degradation and those particles could be of great concern for film surface contamination. In order to appreciate the fume particle dispersion behaviors in laser film cutting, this study relies on random particle simulations by probabilistic distributions of particle size, ejection velocity and angles coupled with Basset-Boussinesq-Oseen model of particle trajectory in low Reynolds number flows. Here, up to one million particles of random sampling have been tested to effectively show fume particles dispersed on the film surface. The computational results could show that particular range of fume particle size could easily disperse into the pixel region of processed optical films.

• 한국지진공학회논문집
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• 제5권6호
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• pp.55-64
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• 2001

본 논문에서는 비선형 추계적 구조시스템의 지진에 대한 동적응답 해석방법을 제안하였다. 부분구조합성법에 기초한 섭동법을 응용하여 지진외력에 의한 불규칙진동의 시간응답과 주파수응답 해석과정을 정식화하였다. 이 방법에서는 대형 .동적 시스템의 지배방정식인 비선형 미분방정식을 몇 개의 비선형 모달방정식으로 근사 변환한다. 각 분계는 비선형 복원력항을 모드좌표로 근사변환함으로써 선형화하여 합성되어진다. 모드좌표에서 섭동법을 이용하여 비선형 운동방정식의 불규칙 진동에 대한 해를 구함으로 해석과정이 축소되어진다. 제안된 방법의 적합성과 유효성을 평가하기 위하여 비선형성을 가진 기계구조 시스템을 해석하였다. 이 해석결과는 불규칙 진동 응답을 해석하는데 유효한 접근방법으로 판단되며 내진 설계에 기여할 것으로 예상된다.

• 한국지반공학회논문집
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• 제23권3호
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• pp.111-121
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• 2007

지진하중의 불확실성을 평가할 수 있는 신뢰성기반 해석기법을 제시한다. 이 기법은 종래의 한계평형법과 뉴막-형식의 변형량 계산기법에 확률개념을 도입하였으며 피해 위험성을 몬테칼로 시뮬레이션 해석기법으로 계산한다. 지진파를 작성하고 이들을 사면 내진 해석에 사용하고자 확률변수 프로세스와 RMS 재해 기법을 도입하였다. 지반성질의 변동성과 통계오차도 고려하였다. 신뢰성 해석 결과 지진활동이 활발한 지역에서는, 계산된 사면파괴 위험성과 과도한 영구변형의 관점에서 비교할 때 지진재해 평가가 더 중요한 사항이며, 재료성질의 모사방법의 차이는 상대적으로 영향이 적다는 사실이 밝혀졌다. 이 결과는 원형 및 비원형 형태의 활동면 파괴에 모두 해당된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권1호
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• pp.81-98
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• 2013

Since Probabilistic Latent Semantic Analysis (PLSA) and Latent Dirichlet Allocation (LDA) were introduced, many revised or extended topic models have appeared. Due to the intractable likelihood of these models, training any topic model requires to use some approximation algorithm such as variational approximation, Laplace approximation, or Markov chain Monte Carlo (MCMC). Although these approximation algorithms perform well, training a topic model is still computationally expensive given the large amount of data it requires. In this paper, we propose a new method, called non-simultaneous sampling deactivation, for efficient approximation of parameters in a topic model. While each random variable is normally sampled or obtained by a single predefined burn-in period in the traditional approximation algorithms, our new method is based on the observation that the random variable nodes in one topic model have all different periods of convergence. During the iterative approximation process, the proposed method allows each random variable node to be terminated or deactivated when it is converged. Therefore, compared to the traditional approximation ways in which usually every node is deactivated concurrently, the proposed method achieves the inference efficiency in terms of time and memory. We do not propose a new approximation algorithm, but a new process applicable to the existing approximation algorithms. Through experiments, we show the time and memory efficiency of the method, and discuss about the tradeoff between the efficiency of the approximation process and the parameter consistency.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
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• pp.1114-1116
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• 2005

Shop floor control systems (SFCS) are used to make real-time planning and scheduling decisions to optimize the efficiency of manufacturing shops. These shops exhibit a non-linear, dynamic evolution caused by 1) the concurrent flows of disparate parts following complex routings, 2) a variety of machines that breakdown at random times, 3) stochastic arrivals of new parts with different priorities, and 4) jobs that have probabilistic processing times and transportation times. Because of their ability to capture that evolution faithfully, simulation models are often used in the aforementioned decisions. In this paper, various types of decision-making problems encountered in a shop floor have been investigated and categorized into process related problems and resource related problems for shop floor simulation.

• Journal of Computing Science and Engineering
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• 제3권3호
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• pp.143-164
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• 2009

This article surveys recent research in the area of language modeling (sometimes called statistical language modeling) approaches to information retrieval. Language modeling is a formal probabilistic retrieval framework with roots in speech recognition and natural language processing. The underlying assumption of language modeling is that human language generation is a random process; the goal is to model that process via a generative statistical model. In this article, we discuss current research in the application of language modeling to information retrieval, the role of semantics in the language modeling framework, cluster-based language models, use of language modeling for XML retrieval and future trends.

• 전기학회논문지
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• 제58권3호
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• pp.486-495
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• 2009

This paper proposes a new methodology on reliability evaluation of a power system including solar cell generators (SCG). The SCGs using renewable energy resource such as solar radiation(SR) should be modeled as multi-state operational model because the uncertainty of the resource supply may occur an effect as same as the forced outage of generator in viewpoint of adequacy reliability of system. While a two-state model is well suited for modeling conventional generators, a multi-state model is needed to model the SCGs due to the random variation of solar radiation. This makes the method of calculating reliability evaluation indices of the SCG different from the conventional generator. After identifying the typical pattern of the SR probability distribution function(pdf) from SR actual data, this paper describes modelling, methodology and details process for reliability evaluation of the solar cell generators integrated with power system. Two test results indicate the viability of the proposed method.

• Structural Engineering and Mechanics
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• 제65권6호
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• pp.751-760
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• 2018

Damages in concrete structures due to aging and other factors could be a serious and immense matter. Making the best selection of the most viable and practical repairing and strengthening techniques are relatively difficult tasks using traditional methods of structural analyses. This is due to the fact that the traditional methods used for assessing aging structure are not fully capable when considering the randomness in strength, loads and cost. This paper presents a reliability-based methodology for assessing reinforced concrete members. The methodology of this study is based on probabilistic analysis, using statistics of the random variables in the performance function equations. Principles of reliability updating are used in the assessment process, as new information is taken into account and combined with prior probabilistic models. The methodology can result in a reliability index ${\beta}$ that can be used to assess the structural component by comparing its value with a standard value. In addition, these methods result in partial safety factor values that can be used for the purpose of strengthening the R/C elements of the existing structure. Calculations and computations of the reliability indices and the partial safety factors values are conducted using the First-order Reliability Method and Monte Carlo simulation.