Earticle

랜덤풍하중을 받는 현수교의 비선형 동적거동 해석방법에 대해 연구하였다. 본 연구에서는 형의 거동과 주(主) 케이블 장력변화간의 상호작용에 기인하는 기하학적 비선형성을 고려하였다. 운동방정식은 연속계로 수식화하였고, 이때 수직 및 비틀림 운동의 상관관계를 포함시켰다. 동적해석은 모우드 중첩법을 사용하였으며, 이때의 모우드 방정식에 추계론적 선형화방법을 적용하여 주파수영역해석을 수행하였다. 선형화과정에서는, 풍속의 평균 및 변동성분의 영향을 함께 고려하기 위하여 비선형항을 선형항과 상수항의 합으로써 근사화하였다. 이 선형화방법에 대한 검증은 4자유도의 모우드 방정식에 대해 수행하였으며, 본 연구의 방법에 의한 결과가 타당함을 보였다. 예제해석은 두 개의 현수교를 택하여 여러 가지 풍속조건 및 공기역학적 하중계수에 대해 수행하였다. 수치해석 결과, 비선형항을 포함시켰을때 교량의 동적 거동은, 수직 거동의 경우 특히 크게 변화함을 알 수 있었다.

In this study, a method of nonlinear dynamic analysis of suspension bridges subjected to random wind loads is pre.sented. The nonlinearity considered is the one due to the interaction between the motion of the bridge girder and the tertsion variation of the main cables. The equation of motion is formulated using a continuum approach. The coupling between the vertical and torsional motions are included in the analysis. The equation of motion is solved by using the mode superposition method. The analysis is carried out in the frequency domain utilizing the stochastic linearization technique on to the modal equations. In the linearization procedure, the nonlinear terms are approximated as linear ones with constant terms. The verification of the method has been performed on a case with four modal degrees of freedom. Example analyses are carried out on two suspension bridges for various wind speeds and wind force parameters. Numerical results indicate that, by including the nonlinearity into the analysis, the dynamic responses of the bridges, particularly in the vertical direction, change considerably.

Due to the question about the distribution of the randomness, mobility and mutual interference between nodes in the wireless networks may be difficult to achieve power control accurately. Therefore, propose a power control algorithm based on minimizing interrupt probability. The algorithm which be based on random geometric network model, under ensuring receiving in the receiver by getting the SIR value, adjusts transmit power. Simulation results show that the algorithm not only can solve the problem of the distribution of the nodes in a wireless net- work, can also according to the channel decline, transmitter was adjusted dynamically in real time. Deduce approximate expression of Interrupt probability transmission capacity. Under meet minimum interrupt probability and maximum transmission capacity, deduce power control expression. By this algorithm, the outage probability decreased by 14.8%, the transmission capacity is increased by 15.6%.

The asymmetric Laplace distribution arises as a limiting distribution of geometric summations of independent and identically distributed random variables with finite second moments. The main purpose of this paper is to study the weak limit theorems for geometric summations of independent (not necessarily identically distributed) random variables together with convergence rates to asymmetric Laplace distributions. Using Trotter-operator method, the orders of approximations of the distributions of geometric summations by the asymmetric Laplace distributions are established in term of the "large-𝒪" and "small-o" approximation estimates. The obtained results are extensions of some known ones.

본 논문에서는 정하중을 받는 보강 원통형 쉘의 확률론적 초기결함 민감도 해석을 수행하였다. Donnell의 쉘이론, Galerkin 근사법에 의거 좌굴하중 도출을 위한 다중모드 정식화를 수행하고 이에 random한 기하학적 초기결함의 확률장 이론 및 응답면 기법을 결합하였다. 계산된 확률론적 좌굴하중 결과로부터 신뢰도 지수-하중, 신뢰도 지수-안전계수의 관계를 구할 수 있고 이를 이용하면 요구되는 안전계수의 범위, 허용가능 초기결함의 범위 설정이 가능할 것이다.

In this paper, stochastic imperfection sensitivity analyses of stiffened cylindrical shells under static load are presented. Multimode formulation is performed for the buckling load calculation based on the Donnell's theory and Galerkin approximation. Random imperfection field theory and response surface method are combined with deterministic bucking analysis scheme to perform stochastic imperfection sensitivity analyses of stiffened cylindrical shells considering random geometric imperfection. From the characteristics of probabilistic bucking load, the relation between reliability index and safety parameter can be obtained in addition to the relation between load and reliability index. Those results can be used to determine the range of required safety parameter and acceptable imperfection.

3D geometric modeling of an object of interest has been intensively investigated in many fields including CAD/CAM and computer graphics. Traditionally, CAD and geometric modeling tools are widely used to create geometric models that have nearly the same shape of 3D real objects or satisfy designers intent. Recently, with the help of the reverse engineering (RE) technology, we can easily acquire 3D point data from the objects and create 3D geometric models that perfectly fit the scanned data more easily and fast. In this paper, we present 3D geometric model generation based on a stereo vision system (SVS) using random pattern projection. A triangular mesh is considered as the resulting geometric model. In order to obtain reasonable results with the SVS-based geometric model generation, we deal with many steps including camera calibration, stereo matching, scanning from multiple views, noise handling, registration, and triangular mesh generation. To acquire reliable stere matching, we project random patterns onto the object. With experiments using various random patterns, we propose several tips helpful for the quality of the results. Some examples are given to show their usefulness.