• Structural Engineering and Mechanics
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• 제44권5호
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• pp.611-631
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• 2012

The passive energy dissipation technology has been proven to be reliable and robust for recent practical applications. Various dampers or energy dissipation devices have been widely used in building structures for enhancing their performances during earthquakes, windstorm and other severe loading scenarios. This paper presents a simplified seismic design procedure for retrofitting earthquake-damaged frames with viscous dampers. With the scheme of designing the main frame and the supplemental viscous dampers respectively, the seismic analysis model of damped structure with viscous dampers and braces was studied. The specific analysis process was described and approach to parameter design of energy dissipation components was also proposed. The expected damping forces for damped frame were first obtained based on storey shear forces; and then they were optimized to meet different storey drift requirements. A retrofit project of a RC frame school building damaged in the 2008 Wenchuan earthquake was introduced as a case study. This building was retrofitted by using viscous dampers designed through the simplified design procedure proposed in this paper. Based on the case study, it is concluded that this simplified design procedure can be effectively used to make seismic retrofit design of earthquake-damaged RC frames with viscous dampers, so as to achieve structural performance objectives under different earthquake risk levels.

• International Journal of Automotive Technology
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• 제8권4호
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• pp.429-436
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• 2007

In this study, we improved control performance of an EMV (electromechanical valve) system using a PM/EM (permanent magnet/electromagnet) hybrid EMA (electromagnetic actuator) and showed the feasibilities of both soft landing and fast transition of the EMV system using a simple PID control. The conventional EMV systems using only EM show significant nonlinear characteristics. Therefore, it is very difficult to control the valve position and several complex control schemes are used. This paper focused on the control performance improvement using a PM/EM hybrid actuator. In particular, a PM is used as a key design parameter such as a bias current of a magnetic bearing in order to improve the linear characteristic of the actuator, although most PM/EM hybrid actuators use a PM as a power saver during valve-open and -closed states. First, a FE (finite element) analysis was performed to confirm its linear static force characteristics. Then, both a test rig and a valve control system were built in order to prove experimentally the control performance improvement of the actuator. Finally, feasibilities of both soft landing and fast transition of the system were shown experimentally through gain-scheduled PID (proportional derivative integral) control.

• Journal of Electrical Engineering and Technology
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• 제12권2호
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• pp.911-917
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• 2017

There are generally three folds when developing neural network classifiers. They are as follows: 1) discriminant function; 2) lots of parameters in the design of classifier; and 3) high dimensional training data. Along with this viewpoint, we propose space search optimized polynomial neural network classifier (PNNC) with the aid of data preprocessing technique and simultaneous tuning strategy, which is a balance optimization strategy used in the design of PNNC when running space search optimization. Unlike the conventional probabilistic neural network classifier, the proposed neural network classifier adopts two type of polynomials for developing discriminant functions. The overall optimization of PNNC is realized with the aid of so-called structure optimization and parameter optimization with the use of simultaneous tuning strategy. Space search optimization algorithm is considered as a optimize vehicle to help the implement both structure and parameter optimization in the construction of PNNC. Furthermore, principal component analysis and linear discriminate analysis are selected as the data preprocessing techniques for PNNC. Experimental results show that the proposed neural network classifier obtains better performance in comparison with some other well-known classifiers in terms of accuracy classification rate.

• 유공압시스템학회논문집
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• 제4권4호
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• pp.1-7
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• 2007

Flow rate is one of the important variables for precise motion control and detection of the faults and fluid loss in many hydraulic components and systems. But in many cases, it is not easy to measure it directly. The orifice area of a servo valve by which the fluid flows is one of key factors to monitor the flow rate. In this paper, we have constructed an estimation algorithm for the effective orifice area by using the model of a servo valve cylinder control system and Kalman filter algorithm. Without geometry information about the servo valve, it is shown that the effective orifice area can be estimated by using only displacement and pressure data corrupted with noise. And the effect of the biased sensor data and system parameter errors on the estimation results are discussed. The paper reveals that sensor calibration is important in accurate estimation and plausible parameter data such as oil bulk modulus and actuator volume are acceptable for the estimation without any error. The estimation algorithm can be used as an useful tool for detecting leakage, monitoring malfunction and/or degradation of the system performance.

• Structural Engineering and Mechanics
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• 제69권2호
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• pp.155-162
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• 2019

It is very common to find an empirical formulation in an earthquake design code to calculate fundamental vibration period of a structural system. Fundamental vibration period or frequency is a key parameter to provide adequate information pertinent to dynamic characteristics and performance assessment of a structure. This parameter enables to assess seismic demand of a structure. It is possible to find an empirical formulation related to reinforced concrete structures, masonry towers and slender masonry structures. Calculated natural vibration frequencies suggested by empirical formulation in the literatures has not suits in a high accuracy to the case of rest of the historical masonry bridges due to different construction techniques and wide variety of material properties. For the listed reasons, estimation of fundamental frequency gets harder. This paper aims to present an empirical formulation through Mean Square Error study to find ambient vibration frequency of historical masonry bridges by using a non-linear regression model. For this purpose, a series of data collected from literature especially focused on the finite element models of historical masonry bridges modelled in a full scale to get first global natural frequency, unit weight and elasticity modulus of used dominant material based on homogenization approach, length, height and width of the masonry bridge and main span length were considered to predict natural vibration frequency. An empirical formulation is proposed with 81% accuracy. Also, this study draw attention that this accuracy decreases to 35%, if the modulus of elasticity and unit weight are ignored.

• Wind and Structures
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• 제36권1호
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• pp.61-73
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• 2023

In this article, a novel structural modal parameters identification methodology is developed to determine the natural frequencies and damping ratios of civil structures based on the symplectic geometry mode decomposition (SGMD) approach. The SGMD approach is a new decomposition algorithm that can decompose the complex response signals with better decomposition performance and robustness. The novel method firstly decomposes the measured structural vibration response signals into individual mode components using the SGMD approach. The natural excitation technique (NExT) method is then used to obtain the free vibration response of each individual mode component. Finally, modal natural frequencies and damping ratios are identified using the direct interpolating (DI) method and a curve fitting function. The effectiveness of the proposed method is demonstrated based on numerical simulation and field measurement. The structural modal parameters are identified utilizing the simulated non-stationary responses of a frame structure and the field measured non-stationary responses of a supertall building during a typhoon. The results demonstrate that the developed method can identify the natural frequencies and damping ratios of civil structures efficiently and accurately.

• 한국도로학회논문집
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• 제7권4호
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• pp.49-56
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• 2005

일반적으로 아스팔트 포장에서 개질재의 효과는 개질 아스팔트 혼합물과 일반 아스팔트 혼합물 사이의 재료 특성 (인장강도, 스티프니스 등)을 단순히 비교함으로써 평가된다. 그러나 개질 아스팔트의 효과를 평가하는데 있어서 이러한 단순 비교는 아스팔트 혼합물의 특성을 제대로 반영하지 못하는 결과를 초래할 수 있다. 따라서 개질 아스팔트 혼합물의 특성을 효과적으로 평가하기 위해서는 아스팔트 혼합물의 주요한 특성들을 종합적으로 반영할 수 있는 합리적인 매개변수가 요구된다. 본 연구에서는 이러한 매개변수로서 최근에 새롭게 개발된 공용성 에 근거한 파괴 기준 (Energy Ratio)을 이용하여 SBS 개질 아스팔트와 Crumb Rubber 개질 아스팔트의 파괴 저항성의 효과를 정량화하고 그에 따른 비용 효과를 비교 분석하였다. 분석 결과, SBS 개질 아스팔트 혼합물의 Energy Ratio가 Crumb Rubber 개질 아스팔트나 일반 아스팔트 혼합물의 Energy Ratio에 비해 두 배 이상 높음을 알 수 있었으며, 그에 따른 SBS 개질재의 비용 절감효과는 최대 24% 정도로 나타났다. 본 연구 결과, Energy Ratio는 개질 아스팔트의 효과를 평가하는데 유용할 뿐만 아니라, 공용성에 근거한 아스팔트 포장의 두께 설계의 파괴 기준으로도 이용 가능함을 확인할 수 있었다.

• 한국안전학회지
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• 제27권1호
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• pp.1-6
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• 2012

복잡한 지하철 역사에서 공기질은 승객의 안전과 건강을 좌우하는 중요한 요소이다. $CO_2$, VOCs먼지, 미생물 등의 농도는 역사의 여러 지점에서뿐만 아니라 원격지점에서도 감시 및 제어가 가능해야 하기 때문에 유무선 네트워크를 사용한 웹기반 감시 및 제어가 필요하다. 가상디바이스 네트워크(VDN) 개념에 근거한 원격 무선센서 네트워크와 디바이스 네트워크(LonWorks)를 IP 네트워크에 연동시키면 매우 강력한 분산 감시 및 제어 성능을 제공한다. 본 연구에서는 지하철역사내 공기질 감시 및 제어를 위한 유무선 네트워크의 성능평가를 실시하였다. 특히 유무선 네트워크의 데이터 전송과 지연특성을 평가하고 승객의 안전과 건강을 위한 핵심요소를 확인하였다.

• 한국도로학회논문집
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• 제6권3호
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• pp.9-15
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• 2004

아스팔트 혼합물의 균열 저항성은 일반적으로 인장 강도, 스티프니스와 같은 단일 물성치를 측정함으로써 평가된다. 그러나, 아스팔트 혼합물의 균열 성능을 평가함에 있어서 단일 물성치의 이용은 의문시되어 왔다. 따라서 본 연구에서는 아스팔트 혼합물의 균열 저항성과 관련이 있는 주요 특성치를 좀 더 심도 있게 규명하고자 하였다. 이를 위해 다양한 하중 조건 하에서 파괴 시험 크리프 시험, 강도 시험이 일반 아스팔트 혼합물과 개질 아스팔트 혼합물에 대해서 수행되었다. 시험 결과, 혼합물의 균열 저항성은 주로 미세 손상 축적 속도에 영향을 받음을 알 수 있었으며, 이 값은 파괴 에너지 한계에 영향을 주지 않으면서 m값에 반영됨을 알 수 있었다. 또한, 짧은 하중 재하 시간 (탄성거동) 동안 얻어지는 스티프니스는 혼합물의 균열 저항성의 차이를 규명하는데 한계가 있음을 알 수 있었다. 따라서 아스팔트 혼합물의 균열 저항성을 보다 명확히 평가하기 위해서는 혼합물의 크리프 거동과 파괴 한계점을 동시에 고려하는 것이 필수적임을 알 수 있었다. 또한 수퍼페이브 간접 인장 강도 시험으로부터 구한 잔여 소멸 에너지는 비교적 손쉬운 실험을 통해 아스팔트 혼합물의 균열 저항성의 상대적인 차이를 보여줄 수 있는 유용한 물성치임을 알 수 있었으며, 장기 크리프 시험에서 얻어지는 파괴 변형률은 아스팔트 혼합물의 크리프 거동과 파괴 한계점을 동시에 고려함으로써 균열 저항성을 평가할 수 있는 유용한 물성치 임을 알 수 있었다.

• 한국공작기계학회논문집
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• 제14권2호
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• pp.27-32
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• 2005

This paper presents the optimization of expanding velocity for tube expanding process in the manufacturing of a heat exchanger. In specific, the expanding velocity has a great influence on the performance of a heat exchanger because it is a key variable determining the quantity of tube expending at assembly stage as well as a key Parameter determining overall production rate. The simulation showed that the genetic algorithm used in this paper resulted in the optimal tube expanding velocity by performing the following series of iteration; the generation of arbitrary population for tube expanding parameters, consequently the generation of tube expanding velocities, the evaluation of tube expanding quantity using the pre-trained data of plastic deformation by means of a neural network and finally the generation of next population using a penalty faction and a Roulette wheel method.