• Smart Structures and Systems
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• 제19권5호
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• pp.553-565
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• 2017

Structural modeling of unencapsulated ionic polymer metal composite (u-IPMC) actuators that are used for flapping the insect scale-flapping wing of micro air vehicles (FMAV) in dry environmental conditions is carried out. Structural modeling for optimization of design parameters for retention of water, maximize actuation performance and to study the influence of water activity on the actuation characteristics of u-IPMC is explored for use in FMAV. The influence of equivalent weight of Nafion polymer, cations, concentration of cations, pre-treatment procedures on retention of water of u-IPMCs and on actuation parameters, flapping angle, flexural stiffness and actuation displacement are investigated. IPMC designed with Nafion having equivalent weight 900-1100, pre-heated at $30^{\circ}C$ and with sodium as the cations is promising for optimum retention of water and actuation performance. The actuation parameters while in operation in dry and humid environment with varying water activity can be tuned to desirable frequency, deflection, flap angle and flexural stiffness by changing the water activity and operational temperature of the environment.

• Structural Engineering and Mechanics
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• 제58권5호
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• pp.905-929
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• 2016

This paper assesses efficiency of the continuum method as the idealized system of building structures. A modified Coupled Two-Beam (CTB) model equipped with classical and non-classical damping has been proposed and solved analytically. In this system, complementary (non-classical) damping models composed of bending and shear mechanisms have been defined. A spatial shear damping model which is non-homogeneously distributed has been adopted in the CTB formulation and used to equivalently model passive dampers, viscous and viscoelastic devices, embedded in building systems. The application of continuum-based models for the dynamic analysis of shear wall systems has been further discussed. A reference example has been numerically analyzed to evaluate the efficiency of the presented CTB, and the optimization problems of the shear damping have been finally ascertained using local and global performance indices. The results reveal the superior performance of non-classical damping models against the classical damping. They show that the critical position of the first modal rotation in the CTB is reliable as the optimum placement of the shear damping. The results also prove the good efficiency of such a continuum model, in addition to its simplicity, for the fast estimation of dynamic responses and damping optimization issues in building systems.

• 한국공간구조학회논문집
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• 제19권2호
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• pp.43-50
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• 2019

A smart connective control system was invented recently for coupling control of adjacent buildings. Previous studies on this topic focused on development of control algorithm for the smart connective control system and design method of control device. Usually, a smart control devices are applied to building structures after structural design. However, because structural characteristics of building structure with control devices changes, a iterative design is required for optimal design. To defeat this problem, an integrated optimal design method for a smart connective control system and connected buildings was proposed. For this purpose, an artificial seismic load was generated for control performance evaluation of the smart coupling control system. 20-story and 12-story adjacent buildings were used as example structures and an MR (magnetorheological) damper was used as a smart control device to connect adjacent two buildings. NSGA-II was used for multi-objective integrated optimization of structure-smart control device. Numerical simulation results show the integrated optimal design method proposed in this study can provide various optimal designs for smart connective control system and connected buildings presenting good control performance.

• 한국음향학회지
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• 제27권6호
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• pp.263-270
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• 2008

초음파 어레이 센서의 성능은 구성 불성과 많은 구소 변수들에 의해 결정된다. 본 연구에서는 유한 요소해석을 통하여 구조적인 변화에 따른 초음파 어레이 센서의 성능변화를 해석하였다. 해석 결과를 기초로 하여 초음파 어레이 센서가 주파수 대역폭, 중심 주파수 그리고 -20 dB pulse length와 같은 요구 사항을 모두 만족시키며 최대의 감도를 가지도록 구조를 최적화하였다. 최적화 방법으로는 초음파 어레이 센서의 성능을 목적 함수로 하는 SQP-PD 방법을 사용하였다. 최적화된 초음파 어레이 센서는 의료 영상 진단에 적용되기 위한 모든 요구 조건을 만족하였으며, 본 설계 기술은 유사한 형태의 다른 배열형 초음파 센서에 응용 가능하다

• Structural Engineering and Mechanics
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• 제72권6호
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• pp.689-712
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• 2019

Time-series models like AR-ARX and ARMAX, provide a robust way to capture the dynamic properties of structures, and their residuals can be effectively used as features for damage detection. Even though several research papers discuss the implementation of AR-ARX and ARMAX models for damage diagnosis, they are basically been exploited so far for detecting the time instant of damage and also the spatial location of the damage. However, the inverse problem associated with damage quantification i.e. extent of damage using time series models is not been reported in the literature. In this paper, an approach to detect the extent of damage by combining the ARMAX model by formulating the inverse problem as a multi-constrained optimization problem and solving using a newly developed hybrid adaptive differential search with dynamic interaction is presented. The proposed variant of the differential search technique employs small multiple populations which perform the search independently and exchange the information with the dynamic neighborhood. The adaptive features and local search ability features are built into the algorithm in order to improve the convergence characteristics and also the overall performance of the technique. The multi-constrained optimization formulations of the inverse problem, associated with damage quantification using time series models, attempted here for the first time, can considerably improve the robustness of the search process. Numerical simulation studies have been carried out by considering three numerical examples to demonstrate the effectiveness of the proposed technique in robustly identifying the extent of the damage. Issues related to modeling errors and also measurement noise are also addressed in this paper.

• 대한기계학회논문집A
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• 제38권1호
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• pp.71-78
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• 2014

대형냉장고의 도어 힌지는 냉장고 도어의 개폐 동작을 원활하게 하고, 도어의 하중과 도어개폐로 인한 충격을 견디는 구조 안전성이 요구된다. 하지만, 도어 힌지는 복잡한 힌지 메커니즘과 민감한 구조 안전성으로 인해 설계 시 어려움이 많다. 본 논문에서는 스프링 응답 특성, 공간제약, 구조강도 성능을 만족하는 메커니즘을 설계하고, 메커니즘을 둘러싼 외부 프레임의 부피를 최소화하여 힌지의 생산 단가를 절감하고자 한다. 이를 위해 PIDO(progress integration and design optimization) 기술을 이용하여 모든 설계절차를 자동화함으로써 설계의 효율성을 높이는 성과를 거두었으며, 최적화 결과 목표로 하는 힌지 메커니즘 성능과 구조안정성을 개선하면서 힌지 프레임 질량의 24%를 절감하였다.

• Smart Structures and Systems
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• 제31권3호
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• pp.247-257
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• 2023

In structural health monitoring of large-scale structures, optimal sensor placement plays an important role because of the high cost of sensors and their supporting instruments, as well as the burden of data transmission and storage. In this study, a vibration sensor placement algorithm based on deep reinforcement learning (DRL) is proposed, which can effectively solve non-convex, high-dimensional, and discrete combinatorial sensor placement optimization problems. An objective function is constructed to estimate the quality of a specific vibration sensor placement scheme according to the modal assurance criterion (MAC). Using this objective function, a DRL-based algorithm is presented to determine the optimal vibration sensor placement scheme. Subsequently, we transform the sensor optimal placement process into a Markov decision process and employ a DRL-based optimization algorithm to maximize the objective function for optimal sensor placement. To illustrate the applicability of the proposed method, two examples are presented: a 10-story braced frame and a sea-crossing bridge model. A comparison study is also performed with a genetic algorithm and particle swarm algorithm. The proposed DRL-based algorithm can effectively solve the discrete combinatorial optimization problem for vibration sensor placements and can produce superior performance compared with the other two existing methods.

• 한국전산구조공학회논문집
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• 제22권5호
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• pp.501-507
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• 2009

FRP(섬유강화 복합재료)를 교량의 바닥판으로 설계하기 위하여 위상최적화와 형상최적화 기법을 사용하여 이론적 최적단면을 제안하였다. 먼저 위상최적화를 통하여 바닥판의 최적 단면모양을 찾아 내었다. 그 결과, 단순보에서 중앙 집중하중의 경우 가장 이상적인 구조는 트러스 형태의 골조구조임을 알 수 있었다. 또한 수평부재와 경사부재가 만나는 절점에서 보강재를 볼 수 있었고, 이는 기존 상업용 FRP바닥판에 적용되지 않았기 때문에 새로운 설계변수로 사용하였다. 두 번째로 유전자 알고리즘을 이용한 형상최적화를 통하여 위상최적화 결과의 최적 규격을 찾고자 하였다. 기존 상용제품들과 비교를 위하여 바닥판의 높이를 제한하여 최적화를 수행하였다. 본 논문에서 제안한 바닥판의 성능을 검토하기 위해 유한요소해석을 수행하였다. 사용성 및 안전성을 검토한 결과, 기존 연구에서 제안한 설계 기준안을 만족하는 것을 확인하였다.

• Structural Engineering and Mechanics
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• 제52권2호
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• pp.351-368
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• 2014

This study presents a hunting search based optimum design algorithm for engineering optimization problems. Hunting search algorithm is an optimum design method inspired by group hunting of animals such as wolves, lions, and dolphins. Each of these hunters employs hunting in a different way. However, they are common in that all of them search for a prey in a group. Hunters encircle the prey and the ring of siege is tightened gradually until it is caught. Hunting search algorithm is employed for the automation of optimum design process, during which the design variables are selected for the minimum objective function value controlled by the design restrictions. Three different examples, namely welded beam, cellular beam and moment resisting steel frame are selected as numerical design problems and solved for the optimum solution. Each example differs in the following ways: Unlike welded beam design problem having continuous design variables, steel frame and cellular beam design problems include discrete design variables. Moreover, while the cellular beam is designed under the provisions of BS 5960, LRFD-AISC (Load and Resistant Factor Design-American Institute of Steel Construction) is considered for the formulation of moment resisting steel frame. Levy Flights is adapted to the simple hunting search algorithm for better search. For comparison, same design examples are also solved by using some other well-known search methods in the literature. Results reveal that hunting search shows good performance in finding optimum solutions for each design problem.

• 대한기계학회논문집A
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• 제21권1호
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• pp.112-123
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• 1997

The optimization techniques have been applied to versatile engineering problems for reducing manufacturing cost and for automatic design. The deterministic approaches or op5imization neglect the effects on uncertainties of design variables. The uncertainties include variation or perturbation such as tolerance band. The optimum may be useless when the constraints considering worst cases of design variables can not be satisfied, which results from constraint variation. The variation of design variables can also give rise to drastic change of performances. The two issues are related to constraint feasibility and insensitive performance. Robust design suggested in the present study is developed to gain an optimum insensitive to variation on design variables within feasible region. The multiobjective function is composed to the mean and the standard deviation of original objective function, while the constraints are supplemented by adding penalty term to original constraints. This method has a advantage that the second derivatives of the constraints are not required. A mathematical problem and several standard problems for structural optimization are solved to check out the usefulness of the suggested method.