• Earthquakes and Structures
• /
• 제9권6호
• /
• pp.1133-1152
• /
• 2015

A frequency-domain method is developed for evaluating the earthquake input energy to two building structures connected by viscous dampers. It is shown that the earthquake input energies to respective building structures and viscous connecting dampers can be defined as works done by the boundary forces between the subsystems on their corresponding displacements. It is demonstrated that the proposed energy transfer function is very useful for clear understanding of dependence of energy consumption ratios in respective buildings and connecting viscous dampers on their properties. It can be shown that the area of the energy transfer function for the total system is constant regardless of natural period and damping ratio because the constant Fourier amplitude of the input acceleration, relating directly the area of the energy transfer function to the input energy, indicates the Dirac delta function and only an initial velocity (kinetic energy) is given in this case. Owing to the constant area property of the energy transfer functions, the total input energy to the overall system including both buildings and connecting viscous dampers is approximately constant regardless of the quantity of connecting viscous dampers. This property leads to an advantageous feature that, if the energy consumption in the connecting viscous dampers increases, the input energies to the buildings can be reduced drastically. For the worst case analysis, critical excitation problems with respect to the impulse interval for double impulse (simplification of pulse-type impulsive ground motion) and multiple impulses (simplification of long-duration ground motion) are considered and their solutions are provided.

• 한국수자원학회논문집
• /
• 제54권spc1호
• /
• pp.1107-1118
• /
• 2021

지구온난화로 인해 발생한 기후변화는 한반도의 홍수, 가뭄 등의 발생빈도를 증가시켰으며, 이로 인해 인적, 물적 피해가 증가한 것으로 나타났다. 수재해 대비 및 대응을 위해서는 국가 차원의 수자원 관리 계획 수립이 필요하며, 유역 단위 수자원 관리를 위해서는 장기간 관측된 유량 자료를 이용하여 도출된 유량지속곡선이 필요하다. 전통적으로 수자원 분야에서 유량지속곡선을 도출하기 위하여 물리적 기반의 강우-유출 모형이 많이 사용되고 있으며, 최근에는 데이터 기반의 딥러닝 기법을 이용한 유출량 예측 기법에 관한 연구가 진행된 바 있다. 물리적 기반의 모형은 수문학적으로 신뢰도 높은 결과를 도출할 수 있으나, 사용자의 높은 이해도가 요구되며, 모형 구동 시간이 오래 걸릴 수 있는 단점이 있다. 데이터 기반의 딥러닝 기법의 경우 입력 자료가 간단하며, 모형 구동 시간이 비교적 짧으나 입력 및 출력자료 간의 관계가 블랙박스로 처리되어 수리·수문학적 특성을 반영할 수 없는 단점이 있다. 본 연구에서는 물리적 기반 모형으로 국내외에서 적용성이 검증된 Soil Water Assessment Tool (SWAT)의 매개변수 보정(Calibration)을 통해 장기간의 결측치 없는 데이터를 산출하고, 이를 데이터 기반 딥러닝 기법인 Long Short-term Memory (LSTM)의 훈련(Training) 데이터로 활용하였다. 시계열 데이터 분석 결과 검·보정 전체 기간('07-'18) 동안 Nash-Sutcliffe Efficiency (NSE)와 적합도 비교를 위한 결정계수는 각각 0.04, 0.03 높게 도출되어 모형에서 도출된 SWAT의 결과가 LSTM보다 전반적으로 우수한 것으로 나타났다. 또한, 모형에서 도출된 연도별 시계열 자료를 내림차순하여 산정된 유량지속곡선과 관측유량 기반의 유량지속곡선과 비교한 결과 NSE는 SWAT과 LSTM 각각 0.95, 0.91로 나타났으며, 결정계수는 0.96, 0.92로 두 모형 모두 우수한 성능을 보였다. LSTM 모형의 경우 저유량 부분 모의의 정확도 개선이 필요하나, 방대한 입력 자료로 인해 모형 구축 및 구동 시간이 오래 걸리는 대유역과 입력 자료가 부족한 미계측 유역의 유량지속곡선 산정 등에 활용성이 높을 것으로 판단된다.

• Earthquakes and Structures
• /
• 제5권4호
• /
• pp.461-475
• /
• 2013

A new experimental system of base-isolated structures is proposed. There are two kinds of dampers usually used in the base-isolated buildings, one is a viscous-type damper and the other is an elastic-plastic hysteretic-type damper. The base-isolated structure with a viscous damper and that with an elastic-plastic hysteretic damper are compared in this paper. The viscous damper is modeled by a mini piston and the elastic-plastic hysteretic damper is modeled by a low yield-point steel. The capacity of both dampers is determined so that the dissipated energies are equivalent at a specified deformation. When the capacity of both dampers is determined according to this criterion, it is shown that the response of the base-isolated structure with the elastic-plastic hysteretic damper is larger than that with the viscous damper. This characteristic is demonstrated through the comparison of the bound of the aspect ratio. It is shown that the bound of aspect ratio for the base-isolated structure with the elastic-plastic hysteretic damper is generally smaller than that with the viscous damper. When the base-isolated structure is subjected to long-duration input, the mechanical property of the elastic-plastic hysteretic damper deteriorates and the response of the base-isolated structure including that damper becomes larger than that with the viscous damper. The effect of this change of material properties on the response of the base-isolated structure is also investigated.

• Journal of Biosystems Engineering
• /
• 제42권1호
• /
• pp.56-61
• /
• 2017

Purpose: High energy requirement and long cooking time are limiting consumption of pigeon pea (Cajanus cajan), a nutritious food. This study was performed to estimate energy and time demand by different methods of cooking pigeon pea. Methods: Pigeon pea (150 g) was soaked in 2.0 L of water at ambient temperature ($29{\pm} 2^{\circ}C$) to determine hydration behavior. Cooking experiments were conducted using aluminum and pressure-cooking pots. Efficiency of cooking was evaluated using four types of cooking appliances (kerosene, liquefied petroleum gas (LPG), electric, and charcoal stoves). Normal (continuous heating until the food was satisfactorily cooked) and control (controlling the energy input to closely match the actual energy required) cooking were conducted. Energy requirement and duration of cooking were determined using standard procedures. Results: Soaking increased moisture content from 11.99 to 30.01% in 90 min, while water absorption rate decreased with soaking duration. In cooking 150 g of pigeon pea using kerosene stove, presoaked normal pressure-pot cooking method consumed the least energy (10 800 kJ) and time (205 min), while unsoaked normal cooking consumed the highest energy (18 450 kJ) and time (336 min). Using LPG stove, unsoaked normal cooking method required the highest energy (52 470 kJ), while presoaked control pressure-pot required the least energy (14 405 kJ). For electric stove, the lowest energy (15 560 kJ) and shortest duration (105 min) were recorded during control cooking of presoaked sample in the pressure-pot. Conclusions: Control cooking was not practicable using charcoal stove. Generally, kerosene stove consumed the least energy, while electric stove was found to have the shortest duration of cooking.

• 대한의용생체공학회:의공학회지
• /
• 제30권4호
• /
• pp.347-354
• /
• 2009

For the reliable transmission of meaningful visual information using prosthetic electrical stimulation, it is required to develop an effective stimulation strategy for the generation of electrical pulse trains based on input visual information. The characteristics of neuronal activities of retinal ganglion cells (RGCs) evoked by electrical stimulation should be understood for this purpose. In this study, for the development of an optimal stimulation strategy for visual prosthesis, we analyzed the neuronal responses of RGCs in rd1 mouse, photoreceptor-degenerated retina of animal model of retinal diseases (retinitis pigmentosa). Based on the in-vitro model of epiretinal prosthesis which consists of planar multielectrode array (MEA) and retinal patch, we recorded and analyzed multiunit RGC activities evoked by amplitude-modulated electrical pulse trains. Two modes of responses were observed. Short-latency responses occurring at 3 ms after the stimulation were estimated to be from direct stimulation of RGCs. Long-latency responses were also observed mainly at 2 - 100 ms after stimulation and showed rhythmic firing with same frequency as the oscillatory background field potential. The long-latency responses could be modulated by pulse amplitude and duration. From the results, we expect that optimal stimulation conditions such as pulse amplitude and pulse duration can be determined for the successful transmission of visual information by electrical stimulation.

• Earthquakes and Structures
• /
• 제17권6호
• /
• pp.577-590
• /
• 2019

The seismic response of structures to strong ground motions is a complex problem that has been studied for decades. However, most of current seismic regulations do not assess the potential level of damage that a structure may undergo during a strong earthquake. This will happen in spite that the design objectives for any structural system are formulated in terms of acceptable levels of damage. In this article, we analyze the expected damage in single-degree-of-freedom systems subjected to long-duration ground motions generated in soft soil sites, such as those located in the lakebed of Mexico City. An energy-based methodology is formulated, under the consideration of input energy as the basis for the evaluation process, to estimate expected damage. The results of the proposed methodology are validated with damage curves established directly with nonlinear dynamic analyses.

• 한국소음진동공학회:학술대회논문집
• /
• 한국소음진동공학회 2000년도 춘계학술대회논문집
• /
• pp.1913-1917
• /
• 2000

SMD Equipment convey an electronic parts at high speed, then assemble parts into a circuit board, and it develop a long time-duration dynamic force to be caused by moving mass. Vibration problem to be caused by SMD Equipment have an effect on micro-meter level's precision production process, directly, and dynamic stability of building. In the cause of quantitatively access about its vibration problem, input information(or data) of structure dynamic analysis need accuracy information of dynamic load. Determination of Dynamic load is various kinds of method using experimental and theory. In this paper, we got dynamic load using direct measurement method. We expect that an study on the dynamic load characteristic of SMD can be used to Equipment development of low level vibration and basis information of structure dynamic analysis.

• 한국수자원학회논문집
• /
• 제54권spc1호
• /
• pp.1183-1193
• /
• 2021

Low flow는 하천수의 공급관리 및 계획, 관개용수 등 다양한 분야에 영향을 미친다. 이러한 유황곡선을 산정하기 위해서는 30년 이상의 충분한 기간의 유량자료의 확보가 필수적이다. 하지만 국가하천 단위 이하의 하천의 경우 장기간의 유량자료가 없거나 중간에 일정기간 동안 결측된 관측소가 있어 하천별 유황 곡선을 산정하기에 한계가 있다. 이에 과거에는 미계측 유역의 유황을 예측하기 위해 다중회귀분석(Multiple Regression Analysis), ARIMA 모형 등 통계학적 기반의 기법들을 사용하였지만, 최근에는 머신러닝, 딥러닝 모형의 수요가 증가하고 있다. 이에 본 연구에서는 최신 패러다임에 맞는 머신러닝 기법인 DNN기법을 제시한다. DNN기법은 ANN기법의 단점인 학습과정에서 최적 매개변수 값을 찾기 어렵고, 학습시간이 느린 단점을 보완한 방법이다. 따라서 본연구에서는 DNN 모형을 이용하여 미계측 유역에 적용 가능한 유황곡선을 산정하고자 한다. 먼저, 유황곡선에 영향을 미치는 인자들을 수집하고 인자들 간의 다중공선성 분석을 통해 통계적으로 유의한 변수를 선정하여, 머신러닝 모형에 입력자료를 구축하였다. 통계적 검증을 통해 머신러닝 기법의 효용성을 검토하였다.

• 한국광학회지
• /
• 제12권3호
• /
• pp.219-224
• /
• 2001

주파수 위상 간섭계를 이용한 전기장 재구성 방법(SPIDER)을 이용하여 Kerr 렌즈 모드록킹된 티타늄 사파이어 레이저 공진기에서 생성된 펨토초 영역의 극초단 펄스의 펄스폭과 위상을 측정하였다. 8cm 길이의 SF10 매질과 마이켈슨형의 시간지연암(arm)을사용하여 주파수 층밀림(shearing)을 구현하고 제2종 BBO결정으로 합주파수 발생을 시켜 SPIDER 장치를 구성 하였다 얻어진 층밀림 주파수 간섭 신호로부터 SPIDER 알고리즘을 이용하여 펄스의 전기장을 복원하였다 SPIDER의 정확도를 확인하기 위해 SPIDER에서 얻은 펄스로 재구성한 간섭형 자체상솬신호를 직접 측정한 간섭형 자체상관 신호와 비교하였다. SPIDER를 티타늄 사파이어 레이저 공진기에 적용하여 19fs의 펄스폭을 얻었으며 sech$^2$나 가우시안으로 가정한 간섭형 자체상관의 결과는 이보다 작은 값으로 나타나서 펨토초 레이저의 정확한 펄스폭 측정을 위해서는 펄스모양의 가정이 필요없는 SPIDER 방법이 필요함을 알 수 있었다.

• 한국진공학회:학술대회논문집
• /
• 한국진공학회 2016년도 제50회 동계 정기학술대회 초록집
• /
• pp.369-369
• /
• 2016

A nanostructure composite is a highly suitable substance for photoacoustic ultrasound generation. This allows an input laser beam (typically, nanosecond pulse duration) to be efficiently converted to an ultrasonic output with tens-of-MHz frequency. This type of energy converter has been demonstrated by using a carbon nanotube (CNT)-polydimethylsiloxane (PDMS) composite film that exhibit high optical absorption, rapid heat transition, and mechanical durability, all of which are necessary properties for high-amplitude ultrasound generation. In order to develop the CNT-PDMS composite film, a high-temperature chemical vapor deposition (HTCVD) method has been commonly used so far to grow CNT and then produce a CNT-PDMS composite structure. Here, instead of the complex HTCVD, we use a mixed solution of hydrophobic multi-walled CNT and dimethylformamid (DMF) and fabricate a solution-processed CNT-PDMS composite film over a spherically concave substrate, i.e. a focal energy converter. As the solution process can be applied over a large area, we could easily fabricate the focal transmitter that focuses the photoacoustic output at the moment of generation from the CNT-PDMS composite layer. With this method, we developed photoacoustic energy converters with a large diameter (>25 mm) and a long focal length (several cm). The lens performance was characterized in terms of output pressure amplitude for an incident pulsed laser energy and focal spot dimension in both lateral and axial. Due to the long focal length, we expect that the new lens can be applied for long-range ultrasonic treatment, e.g. biomedical therapy.