• 제목/요약/키워드: Algorithm Element

검색결과 2,123건 처리시간 0.023초

Effect of viscous dampers on yielding mechanisms of RC structures during earthquake

  • Hejazi, Farzad;Shoaei, Mohammad Dalili;Jaafar, Mohd Saleh;Rashid, Raizal Saiful Bin Muhammad
    • Earthquakes and Structures
    • /
    • 제8권6호
    • /
    • pp.1499-1528
    • /
    • 2015
  • The yielding mechanisms of reinforced concrete (RC) structures are the main cause of the collapse of RC buildings during earthquake excitation. Nowadays, the application of earthquake energy dissipation devices, such as viscous dampers (VDs), is being widely considered to protect RC structures which are designed to withstand severe seismic loads. However, the effect of VDs on the formation of plastic hinges and the yielding criteria of RC members has not been investigated extensively, due to the lack of an analytical model and a numerical means to evaluate the seismic response of structures. Therefore, this paper offers a comprehensive investigation of how damper devices influence the yielding mechanisms of RC buildings subjected to seismic excitation. For this purpose, adapting the Newmark method, a finite element algorithm was developed for the nonlinear dynamic analysis of reinforced concrete buildings equipped with VDs that are subjected to earthquake. A special finite element computer program was codified based on the developed algorithm. Finally, a parametric study was conducted for a three-story RC building equipped with supplementary VD devices, performing a nonlinear analysis in order to evaluate its effect on seismic damage and on the response of the structure. The results of this study showed that implementing VDs substantially changes the mechanism and formation of plastic hinges in RC buildings.

라플라스 변환과 유한요소법의 결합에 의한 확산방정식의 해석 (Analysis of Diffusion Equations by Coupling of Laplace Transform and Finite Element Method)

  • 성병철;이준호;이기식
    • 한국자기학회지
    • /
    • 제8권3호
    • /
    • pp.161-168
    • /
    • 1998
  • 본 논문에서는 라플라스 변환과 유환요소법의 결합에 의하여 확산반정식의 과도해석에 적용이 가능한 알고리즘을 제안하였다. 제안한 방법은 시간항을 라플라스 변환을 이용아여 제거한 후 유한요소법을 적용하여 해를 구한다. 이렇게 주파수 영역에서 구해진 해는 라플라스 역변환을 이용하여 시간영역의 값으로 변환한다. 제안된 방법의 타당성을 검증하기 위하여 열전도문제를 해석하엿으며, 제안한 방법이 해석해와 잘 이치한다는 것을 알 수 잇었다. 제안한 방법은 시간 차분이 필요하지 않기 때문에 여러 가지 확산방정식을 해석함에 있어서 매우 유용할 것으로 사료된다.

  • PDF

MADS를 이용한 직접구동형 풍력발전기 최적설계 (Optimal Design of Direct-Driven Wind Generator Using Mesh Adaptive Direct Search(MADS))

  • 박지성;안영준;이철균;김종욱;정상용
    • 조명전기설비학회논문지
    • /
    • 제23권12호
    • /
    • pp.48-57
    • /
    • 2009
  • 본 논문에서는 FEM(Finite Element Method)을 이용한 직접구동형 영구자석 풍력발전기의 최적설계를 위해 최신의 최적화 기법인 MADS(Mesh Adaptive Direct Search)를 적용하였으며, 최적설계 목표는 연간 에너지 생산량(Annual Energy Production : AEP)을 최대화 하는 방향으로 선정하였다. 또한, 풍력발전기의 전 운전영역을 고려하기 위해 해당풍속에서의 통계적 확률밀도와 연간 운전시간을 적용하여 연간 최대에너지 생산량을 산정하였다. 아울러, MADS의 최적설계 결과와 병렬분산 컴퓨팅을 결합한 유전 알고리즘(Genetic Algorithm : GA)의 최적설계 결과를 비교하였으며, MADS는 병렬분산 유전알고리즘에 비해 상대적으로 빠른 수렴성을 나타내었다.

PREDICTION OF RESIDUAL STRESS FOR DISSIMILAR METALS WELDING AT NUCLEAR POWER PLANTS USING FUZZY NEURAL NETWORK MODELS

  • Na, Man-Gyun;Kim, Jin-Weon;Lim, Dong-Hyuk
    • Nuclear Engineering and Technology
    • /
    • 제39권4호
    • /
    • pp.337-348
    • /
    • 2007
  • A fuzzy neural network model is presented to predict residual stress for dissimilar metal welding under various welding conditions. The fuzzy neural network model, which consists of a fuzzy inference system and a neuronal training system, is optimized by a hybrid learning method that combines a genetic algorithm to optimize the membership function parameters and a least squares method to solve the consequent parameters. The data of finite element analysis are divided into four data groups, which are split according to two end-section constraints and two prediction paths. Four fuzzy neural network models were therefore applied to the numerical data obtained from the finite element analysis for the two end-section constraints and the two prediction paths. The fuzzy neural network models were trained with the aid of a data set prepared for training (training data), optimized by means of an optimization data set and verified by means of a test data set that was different (independent) from the training data and the optimization data. The accuracy of fuzzy neural network models is known to be sufficiently accurate for use in an integrity evaluation by predicting the residual stress of dissimilar metal welding zones.

A new hybrid method for reliability-based optimal structural design with discrete and continuous variables

  • Ali, Khodam;Mohammad Saeid, Farajzadeh;Mohsenali, Shayanfar
    • Structural Engineering and Mechanics
    • /
    • 제85권3호
    • /
    • pp.369-379
    • /
    • 2023
  • Reliability-Based Design Optimization (RBDO) is an appropriate framework for obtaining optimal designs by taking uncertainties into account. Large-scale problems with implicit limit state functions and problems with discrete design variables are two significant challenges to traditional RBDO methods. To overcome these challenges, this paper proposes a hybrid method to perform RBDO of structures that links Firefly Algorithm (FA) as an optimization tool to advanced (finite element) reliability methods. Furthermore, the Genetic Algorithm (GA) and the FA are compared based on the design cost (objective function) they achieve. In the proposed method, Weighted Simulation Method (WSM) is utilized to assess reliability constraints in the RBDO problems with explicit limit state functions. WSM is selected to reduce computational costs. To performing RBDO of structures with finite element modeling and implicit limit state functions, a First-Order Reliability Method (FORM) based on the Direct Differentiation Method (DDM) is utilized. Four numerical examples are considered to assess the effectiveness of the proposed method. The findings illustrate that the proposed RBDO method is applicable and efficient for RBDO problems with discrete and continuous design variables and finite element modeling.

Nonlinear dynamic analysis of porous functionally graded materials based on new third-order shear deformation theory

  • Allah, Mohamed Janane;Timesli, Abdelaziz;Belaasilia, Youssef
    • Steel and Composite Structures
    • /
    • 제43권1호
    • /
    • pp.1-17
    • /
    • 2022
  • The free and forced nonlinear dynamic behaviors of Porous Functionally Graded Material (PFGM) plates are examined by means of a High-Order Implicit Algorithm (HOIA). The formulation is developed using the Third-order Shear Deformation Theory (TSDT). Unlike previous works, the formulation is written without resorting to any homogenization technique neither rule of mixture nor considering FGM as a laminated composite, and the distribution of the porosity is assumed to be gradually variable through the thickness of the PFGM plates. Using the Hamilton principle, we establish the governing equations of motion. The Finite Element Method (FEM) is used to compute approximations of the resulting equations; FEM is adopted using a four-node quadrilateral finite element with seven Degrees Of Freedom (DOF) per node. Nonlinear equations are solved by a HOIA. The accuracy and the performance of the proposed approach are verified by presenting comparisons with literature results for vibration natural frequencies and dynamic response of PFGM plates under external loading. The influences of porosity volume fraction, porosity distribution, slenderness ratio and other parameters on the vibrations of PFGM plate are explored. The results demonstrate the significant impact of different physical and geometrical parameters on the vibration behavior of the PFGM plate.

평면 능동위상배열안테나 결함소자 진단방법에 관한 연구 (A Study on Fault Diagnosis for Planar Active Phased Array Antenna)

  • 정진우;강승호
    • 한국전자통신학회논문지
    • /
    • 제18권1호
    • /
    • pp.11-22
    • /
    • 2023
  • 평면 능동위상배열안테나 시스템에 있어, 간소화된 방사특성 측정 절차를 가지는 방사소자 결함진단 기법을 제시하였다. 이를 위해 평면 배열 구성에 대한 방사특성을 기반으로 선형 배열 구성으로 근사화 분석할 수 있는 방법 및 방사소자 결함진단과정에서 발생할 수 있는 유일해 문제를 해소하기 위한 방법을 연구하였다. 본 논문에서 제시된 기법 및 유전 알고리즘을 기반으로 다양한 평면 능동위상배열안테나 구성에 따른 방사소자 결함진단에 대한 모의실험을 수행하였다. 모의실험 결과, 제시된 방사소자 결함진단 기법은 다양한 구성을 가지는 평면 능동위상안테나에 대해서도 적용가능함을 확인하였다.

Experimental and numerical structural damage detection using a combined modal strain energy and flexibility method

  • Seyed Milad Hosseini;Mohamad Mohamadi Dehcheshmeh;Gholamreza Ghodrati Amiri
    • Structural Engineering and Mechanics
    • /
    • 제87권6호
    • /
    • pp.555-574
    • /
    • 2023
  • An efficient optimization algorithm and damage-sensitive objective function are two main components in optimization-based Finite Element Model Updating (FEMU). A suitable combination of these components can considerably affect damage detection accuracy. In this study, a new hybrid damage-sensitive objective function is proposed based on combining two different objection functions to detect the location and extent of damage in structures. The first one is based on Generalized Pseudo Modal Strain Energy (GPMSE), and the second is based on the element's Generalized Flexibility Matrix (GFM). Four well-known population-based metaheuristic algorithms are used to solve the problem and report the optimal solution as damage detection results. These algorithms consist of Cuckoo Search (CS), Teaching-Learning-Based Optimization (TLBO), Moth Flame Optimization (MFO), and Jaya. Three numerical examples and one experimental study are studied to illustrate the capability of the proposed method. The performance of the considered metaheuristics is also compared with each other to choose the most suitable optimizer in structural damage detection. The numerical examinations on truss and frame structures with considering the effects of measurement noise and availability of only the first few vibrating modes reveal the good performance of the proposed technique in identifying damage locations and their severities. Experimental examinations on a six-story shear building structure tested on a shake table also indicate that this method can be considered as a suitable technique for damage assessment of shear building structures.

An incompatible 3D solid element for structural analysis at elevated temperatures

  • Yu, Xinmeng;Zha, Xiaoxiong;Huang, Zhaohui
    • Structural Engineering and Mechanics
    • /
    • 제40권3호
    • /
    • pp.393-410
    • /
    • 2011
  • The eight-node 3D solid element is one of the most extensively used elements in computational mechanics. This is due to its simple shape and easy of discretization. However, due to the parasitic shear locking, it should not be used to simulate the behaviour of structural members in bending dominant conditions. Previous researches have indicated that the introduction of incompatible mode into the displacement field of the solid element could significantly reduce the shear locking phenomenon. In this study, an incompatible mode eight-node solid element, which considers both geometric and material nonlinearities, is developed for modelling of structural members at elevated temperatures. An algorithm is developed to extend the state determination procedure at ambient temperature to elevated temperatures overcoming initially converged stress locking when the external load is kept constant. Numerical studies show that this incompatible element is superior in terms of convergence, mesh insensitivity and reducing shear locking. It is also showed that the solid element model developed in this paper can be used to model structural behaviour at both ambient and elevated temperatures.

명시적인 동적 시간이력해석을 한 사절점 가변형도 평판요소 (A Four-Node Assumed Strain Plate Element for Explicit Dynamic Transient Analysis)

  • 이상진
    • 한국전산구조공학회논문집
    • /
    • 제14권3호
    • /
    • pp.349-359
    • /
    • 2001
  • 본 논분은 평판구조물의 동적 시간이력해석을 수행하기 위하여 개발된 사절점 판요소에 대하여 기술하였다. 이 요소는 두꺼운 판에서 발생하는 횡전단 변형효과를 고려하기 위하여 Reissner-Mindlin(RM)가정을 도달하였다. 알려진 바와 같이 RM가정을 바탕으로 개발된 판요소가 얇은 판에 적용되면 전단강성 과대현상(,Shear Locking Phenomenon)을 일으키는데 이를 개선하기 위하여 본 연구에서는 가변형도법을 이용한 대체변형도를 자연좌표계에 준하여 명시적으로 유도하였다. 개발된 저차 판요소는 중앙 차분법을 이용한 명시적인 동적 해석 알고리즘에 적용되었으며 이때 판의 대각질량행렬은 특별집중질량법을 사용하여 형성하였다. 개발된 판의 성능은 수치예제를 통하여 평가하고 검증하였다.

  • PDF