• 한국농공학회논문집
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• 제54권4호
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• pp.39-46
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• 2012

The objectives of this study is intended to analyze stresses using the boundary element method and probability analysis for agricultural structure. Loads and material properties are an important factor when analyzing the structure. Until now, designing structure, loads and material properties are applied deterministic value. However, load and material properties involve uncertainties due to those change probabilistic and deterministic methods could not consider uncertainties. To solve these problems, the reliability analysis based on probability properties scheme was developed. Reliability analysis is easy to approach to analysis frame structure, however it has limitation when solving plane stress strain problems a kind of agricultural structures. The BEM (Boundary Element Method) is able to analysis plane strain problems by boundary conditions. Thus, this study applied boundary element method to analysis plane strain problem, load and material properties as a probabilistic value to calculate the analytical model using Monte Carlo simulations were developed.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2005년도 전력전자학술대회 논문집
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• pp.693-696
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• 2005

We propose a robust adaptive fuzzy controller for the transient stability and voltage regulation of a single-machine inflnite bus power system. The proposed control scheme is based on the input-output linearization to eliminate the system nonlinearities. To deal with uncertainties due to a parameter variation or a fault, we introduce fuzzy systems with universal function approximating capability which estimate the uncertainties on-line.

• 콘크리트학회논문집
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• 제17권6호
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• pp.1045-1051
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• 2005

For critical structures and application, where a given reliability must be met, it is necessary to account for uncertainties and variability in material properties, structural parameters affecting the corrosion process, in addition to the statistical and decision uncertainties. This paper presents an approach to the fuzzy arithmetic based modeling of the chloride-induced corrosion of reinforcement in concrete structures that takes into account the uncertainties in the physical models of chloride penetration into concrete and corrosion of steel reinforcement, as well as the uncertainties in the governing parameters, including concrete diffusivity, concrete cover depth, surface chloride concentration and critical chloride level for corrosion initiation. The parameters of the models are regarded as fuzzy numbers with proper membership function adapted to statistical data of the governing parameters and the fuzziness of the corrosion time is determined by the fuzzy arithmetic of interval arithmetic and extension principle

• Smart Structures and Systems
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• 제22권5호
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• pp.547-560
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• 2018

This paper investigates the operation of the $H_{\infty}$ static output-feedback controller to reduce dynamic responses under seismic excitation on the five-story and benchmark 20 story building with parametric uncertainties. Linear matrix inequality (LMI) control theory is applied in this system and then to achieve the desired LMI formulations, some transformations of the LMI variables is used. Conversely uncertainties due to material properties, environmental loads such as earthquake and wind hazards make the uncertain system. This problem and its effects are studied in this research. Also to decrease the transition of large amount of data between sensors and controller, avoiding the disruption of whole control system and economy problems, the operation of the decentralized controllers is investigated in this paper. For this purpose the comparison between the performance of the centralized, fully decentralized and partial decentralized controllers in uncoupled and coupled cases is performed. Also, the effect of the changing the number of stories in substructures is considered. Based on the numerical results, the used control algorithm is very robust against the parametric uncertainties and structural responses are decreased considerably in all the control cases but partial decentralized controller in coupled form gets the closest results to the centralized case. The results indicate the high applicability of the used control algorithm in the tall shear buildings to reduce the structural responses and its robustness against the uncertainties.

• Structural Engineering and Mechanics
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• 제29권5호
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• pp.469-488
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• 2008

Finite element methods have often been used for structural analyses of various mechanical problems. When finite element analyses are utilized to resolve mechanical systems, numerical uncertainties in the initial data such as structural parameters and loading conditions may result in uncertainties in the structural responses. Therefore the initial data have to be as accurate as possible in order to obtain reliable structural analysis results. The typical finite element method may not properly represent discrete systems when using uncertain data, since all input data of material properties and applied loads are defined by nominal values. An interval finite element analysis, which uses the interval arithmetic as introduced by Moore (1966) is proposed as a non-stochastic method in this study and serves a new numerical tool for evaluating the uncertainties of the initial data in structural analyses. According to this method, the element stiffness matrix includes interval terms of the lower and upper bounds of the structural parameters, and interval change functions are devised. Numerical uncertainties in the initial data are described as a tolerance error and tree graphs of uncertain data are constructed by numerical uncertainty combinations of each parameter. The structural responses calculated by all uncertainty cases can be easily estimated so that structural safety can be included in the design. Numerical applications of truss and frame structures demonstrate the efficiency of the present method with respect to numerical analyses of structural uncertainties.

• 한국지반공학회논문집
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• 제35권2호
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• pp.29-36
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• 2019

본 연구에서는 필댐 사력부 전단파 속도 주상도 결정시 물성치 변동성에 의해 발생 가능한 불확실성을 평가하고, 평가된 불확실성이 반영된 국내 필댐 사력부를 위한 전단파 속도 주상도 모델을 제안하였다. 이를 위하여 평가된 불확실성을 바탕으로 국내 필댐 사력부에 존재 가능한 깊이-전단파 속도 곡선 400개를 결정하고, 이에 대한 통계분석을 통하여 깊이별 전단파 속도 상한과 하한 곡선을 결정하였다. 결정된 곡선을 바탕으로 Burger 모델 형태의 깊이별 전단파 속도 상한과 하한 주상도 모델을 결정하였다. 결정된 모델은 국내에서 많이 사용되고 있는 Sawada-Takahashi 모델과 비교하였다.

• 한국재난정보학회 논문집
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• 제17권4호
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• pp.747-754
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• 2021

연구목적: 곡선 교량은 기하하적 특성으로 직선교량에 비해 복잡한 거동을 보이기 때문에 지진 안전성 평가가 반드시 이루어져야 한다. 본 연구에서는 곡선 거더를 갖는 교량의 강재 재료 특성의 불확실성을 고려한 지진 취약도 평가를 수행하였다. 연구방법: I형 곡선 거더를 갖는 교량의 유한요소 모델을 구축하였으며 선행연구에서 제시된 강재 특성의 통계적 매개변수를 이용하였다. 라틴 하이퍼큐브 기법을 이용하여 100개의 강재 재료 모델을 샘플링하였다. 경주지진의 지반가속도를 0.2g, 0.5g, 0.8g, 1.2g, 1.5g로 scale을 변화시켜 지진 취약도 평가를 수행하였다. 연구결과: 곡선거더의 지진 취약도 평가결과 한계상태가 190MPa일 때 0.03g 파괴가 시작되었으며 한계상태가 315MPa일 때 0.11g를 초과하면서 파괴가 시작되는 것으로 나타났다. 결론: 본 연구에서는 재료 불확실성을 고려한 지진 취약도 평가를 수행하였으며 추후 연구에서는 지진파의 불확실성과 재료의 불확실성을 동시에 고려한 지진 취약도 분석이 필요할 것으로 판단된다.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2011년도 제37회 추계학술대회논문집
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• pp.523-526
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• 2011

본 연구는 재료물성치의 불확실성을 고려한 구조신뢰성 해석 기법에 대한 내용이다. 설계변수의 확률분포 및 상태한계방정식을 구하고 이에 대한 확률밀도함수와 누적분포함수 계산 시 근사화 기법인 크리깅을 적용하여 구조신뢰성에 대한 계산 및 해석시간을 단축하고자 하였다. 이에 대한 예제로 알루미늄을 소재로 하는 로켓모터케이스의 재료물성치의 분포를 고려한 구조신뢰성 해석을 수행하고 그 결과를 몬테카를로 시뮬레이션과 비교함으로써 제안된 기법에 대한 정확성과 효율성을 판단하고자 한다.

• Structural Engineering and Mechanics
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• 제58권3호
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• pp.443-458
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• 2016

In this paper, we propose a method for taking into account uncertainties based on the projection on polynomial chaos. Due to the manufacturing and assembly errors, uncertainties in material and geometric properties, the system parameters including assembly defect, damping coefficients, bending stiffness and traction-compression stiffness are uncertain. The proposed method is used to determine the dynamic response of a one-stage spur gear system with uncertainty associated to gear system parameters. An analysis of the effect of these parameters on the one stage gear system dynamic behavior is then treated. The simulation results are obtained by the polynomial chaos method for dynamic analysis under uncertainty. The proposed method is an efficient probabilistic tool for uncertainty propagation. The polynomial chaos results are compared with Monte Carlo simulations.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2008년도 정기 학술대회
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• pp.65-70
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• 2008

The capacity spectrum method (CSM) is a deterministic seismic analysis approach wherein the expected seismic response of a structure is established as the intersection of the demand and capacity curves. Recently, there are a few studies about a probabilistic CSM where uncertainties in design factors such as material properties, loads, and ground motion are being considered. However, researches show that soil-structure interaction also affects the seismic responses of structures. Thus, their uncertainties should also be taken into account. Therefore, this paper presents a probabilistic approach of using the CSM for seismic analysis considering uncertainties in soil properties. For application, a reinforced concrete bridge column structure is employed as a test model. Considering the randomness of the various design parameters, the structure's probability of failure is obtained. Monte Carlo importance sampling is used as the tool to assess the structure's reliability when subjected to earthquakes. In this study, probabilistic CSM with and without consideration of soil uncertainties are compared and analyzed. Results show that the analysis considering soil structure interaction yields to a greater probability of failure, and thus can lead to a more conservative structural design.