• Steel and Composite Structures
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• 제49권1호
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• pp.65-79
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• 2023

This paper presents a development of empirical evaluations, which can be used to evaluate the damage of fiber-reinforced concrete composites (FRC) wall subjected to close-in blast loads. For this development, a combined application of numerical simulation and machine learning approaches are employed. First, finite element modeling of FRC wall under blast loading is developed and verified using experimental data. Numerical analyses are then carried out to investigate the dynamic behavior of the FRC wall under blast loading. In addition, a data set of 384 samples on the damage of FRC wall due to blast loads is then produced in order to develop machine learning models. Second, three robust machine learning models of Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost) are employed to propose empirical evaluations for predicting the damage of FRC wall. The proposed empirical evaluations are very useful for practical evaluation and design of FRC wall subjected to blast loads.

• Computers and Concrete
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• 제32권6호
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• pp.625-637
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• 2023

The application of ML approaches in determining the resisting capacity of fire damaged RC columns is introduced in this paper, on the basis of analysis data driven ML modeling. Considering the characteristics of the structural behavior of fire damaged RC columns, the representative five approaches of Kernel SVM, ANN, RF, XGB and LGBM are adopted and applied. Additional partial monotonic constraints are adopted in modelling, to ensure the monotone decrease of resisting capacity in RC column with fire exposure time. Furthermore, additional suggestions are also added to mitigate the heterogeneous composition of the training data. Since the use of ML approaches will significantly reduce the computation time in determining the resisting capacity of fire damaged RC columns, which requires many complex solution procedures from the heat transfer analysis to the rigorous nonlinear analyses and their repetition with time, the introduced ML approach can more effectively be used in large complex structures with many RC members. Because of the very small amount of experimental data, the training data are analytically determined from a heat transfer analysis and a subsequent nonlinear finite element (FE) analysis, and their accuracy was previously verified through a correlation study between the numerical results and experimental data. The results obtained from the application of ML approaches show that the resisting capacity of fire damaged RC columns can effectively be predicted by ML approaches.

• 대한원격탐사학회지
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• 제38권5_1호
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• pp.627-646
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• 2022

최근 지구 온난화로 인한 기후 변화와 관련된 문제의 심각성이 커지고 있으며 평균 기온 또한 상승하고 있다. 이로 인해 온도에 민감한 다양한 생물과 생물이 살아가는 환경에 영향을 미치고 있으며, 생태계의 변화 역시 감지되고 있다. 계절은 그 지역에 사는 생물의 종류, 분포, 생육 특성 등에 영향을 미치는 중요한 요인의 하나이다. 기후 변화 영향 평가의 지표 중 가장 대중적이고 쉽게 인식될 수 있는 식물 계절 중 개화일과 단풍나무 절정일의 모델링을 수행하였다. 모델링에 사용된 식물의 종류에는 봄을 대표하는 식물로 볼 수 있는 개나리와 벚나무, 가을을 대표하는 식물로 볼 수 있는 단풍 나무와 은행 나무를 사용하였다. 모델링을 수행할 때 사용된 기상 자료로는 기상청의 Automated Surface Observing System (ASOS) 관측소를 통해서 관측된 기온, 강수, 일사 자료를 사용하였으며, 개나리, 벚나무의 개화일과 약 -0.2, 은행나무, 단풍나무의 단풍 절정일과 약 0.3 정도의 상관 계수를 가지는 Moderate Resolution Imaging Spectroradiometer (MODIS) 식생지수를 사용하여 모델링을 수행하였다. 사용된 모델로는 선형 모델인 다중 회귀 모형과, 비선형 모델인 Random Forest (RF)를 사용하여 모델을 수립하였다. 또한 각 모형으로 추정된 예측 값을 공간 내삽 기법을 이용하여 등치 선도로 2003~2020년의 식물 계절 변화 경향 성을 표현하였다. 향후에 높은 시공간 해상도를 가지는 식생지수를 사용한다면 더 높은 식물 계절 모델링의 정확도를 높일 수 있을 것으로 판단된다.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2014년도 제46회 동계 정기학술대회 초록집
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• pp.221-221
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• 2014

The present work proposes an improved numerical simulator for design and modification of large area capacitively coupled plasma (CCP) processing chamber. CCP, as notoriously well-known, demands the tremendously huge computational cost for carrying out transient analyses in realistic multi-dimensional models, because electron dissociations take place in a much smaller time scale (${\Delta}t{\approx}10-8{\sim}10-10$) than time scale of those happened between neutrals (${\Delta}t{\approx}10-1{\sim}10-3$), due to the rf drive frequencies of external electric field. And also, for spatial discretization of electron flux (Je), exponential scheme such as Scharfetter-Gummel method needs to be used in order to alleviate the numerical stiffness and resolve exponential change of spatial distribution of electron temperature (Te) and electron number density (Ne) in the vicinity of electrodes. Due to such computational intractability, it is prohibited to simulate CCP deposition in a three-dimension within acceptable calculation runtimes (<24 h). Under the situation where process conditions require thickness non-uniformity below 5%, however, detailed flow features of reactive gases induced from three-dimensional geometric effects such as gas distribution through the perforated plates (showerhead) should be considered. Without considering plasma chemistry, we therefore simulated flow, temperature and species fields in three-dimensional geometry first, and then, based on that data, boundary conditions of two-dimensional plasma discharge model are set. In the particular case of SiH4-NH3-N2-He CCP discharge to produce deposition of SiNxHy thin film, a cylindrical showerhead electrode reactor was studied by numerical modeling of mass, momentum and energy transports for charged particles in an axi-symmetric geometry. By solving transport equations of electron and radicals simultaneously, we observed that the way how source gases are consumed in the non-isothermal flow field and such consequences on active species production were outlined as playing the leading parts in the processes. As an example of application of the model for the prediction of the deposited thickness uniformity in a 300 mm wafer plasma processing chamber, the results were compared with the experimentally measured deposition profiles along the radius of the wafer varying inter-electrode gap. The simulation results were in good agreement with experimental data.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2012년도 제42회 동계 정기 학술대회 초록집
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• pp.239-240
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• 2012

With advancements in semiconductor device technologies, manufacturing processes are getting more complex and it became more difficult to maintain tighter process control. As the number of processing step increased for fabricating complex chip structure, potential fault inducing factors are prevail and their allowable margins are continuously reduced. Therefore, one of the key to success in semiconductor manufacturing is highly accurate and fast fault detection and classification at each stage to reduce any undesired variation and identify the cause of the fault. Sensors in the equipment are used to monitor the state of the process. The idea is that whenever there is a fault in the process, it appears as some variation in the output from any of the sensors monitoring the process. These sensors may refer to information about pressure, RF power or gas flow and etc. in the equipment. By relating the data from these sensors to the process condition, any abnormality in the process can be identified, but it still holds some degree of certainty. Our hypothesis in this research is to capture the features of equipment condition data from healthy process library. We can use the health data as a reference for upcoming processes and this is made possible by mathematically modeling of the acquired data. In this work we demonstrate the use of recurrent neural network (RNN) has been used. RNN is a dynamic neural network that makes the output as a function of previous inputs. In our case we have etch equipment tool set data, consisting of 22 parameters and 9 runs. This data was first synchronized using the Dynamic Time Warping (DTW) algorithm. The synchronized data from the sensors in the form of time series is then provided to RNN which trains and restructures itself according to the input and then predicts a value, one step ahead in time, which depends on the past values of data. Eight runs of process data were used to train the network, while in order to check the performance of the network, one run was used as a test input. Next, a mean squared error based probability generating function was used to assign probability of fault in each parameter by comparing the predicted and actual values of the data. In the future we will make use of the Bayesian Networks to classify the detected faults. Bayesian Networks use directed acyclic graphs that relate different parameters through their conditional dependencies in order to find inference among them. The relationships between parameters from the data will be used to generate the structure of Bayesian Network and then posterior probability of different faults will be calculated using inference algorithms.

• 신재생에너지
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• 제4권2호
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• pp.68-73
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• 2008

It is very important that constitution of good hetero-junction interface with a high quality amorphous silicon thin films on very cleaned c-Si wafer for making high efficiency hetero-junction solar cells. For achieving the high efficiency solar cells, the inspection and management of c-Si wafer surface conditions are essential subjects. In this experiment, we analyzed the c-Si wafer surface very sensitively using Spectroscopic Ellipsometer for < ${\varepsilon}2$ > and u-PCD for effective carrier life time, so we accomplished < ${\varepsilon}2$ > value 43.02 at 4.25eV by optimizing the cleaning process which is representative of c-Si wafer surface conditions very well. We carried out that the deposition of high quality hydrogenated silicon amorphous thin films by RF-PECVD systems having high density and low crystallinity which are results of effective medium approximation modeling and fitting using spectroscopic ellipsometer. We reached the cell efficiency 12.67% and 14.30% on flat and textured CZ c-Si wafer each under AM1.5G irradiation, adopting the optimized cleaning and deposition conditions that we made. As a result, we confirmed that spectroscopic ellipsometry is very useful analyzing methode for hetero-junction solar cells which need to very thin and high quality multi layer structure.

• 한국화재소방학회논문지
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• 제18권4호
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• pp.64-71
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• 2004

본 논문에서는 NIST에서 개발한 CFAST 화재 모델링 코드를 사용하여 원자력발전소 펌프실 화재를 모의하였다. 급기 제한, 최소 산소 농도(Lower Oxygen Limit), 복사열 방출비율(Radiative Fraction), 방화문 개방 정도 등의 CFAST 입력 변수 변화에 따라 화재 성장 변화를 분석하였다. 분석 결과에 의하면 본 화재구역에서의 화재는 환기 지배형 화재이므로 급기 제한 및 최소 산소 농도 10%로 설정하는 것이 타당한 것으로 판단되며, 복사열 방출에 따라 상부층 가스 온도는 큰 변화가 없는 것을 알 수 있었다. 화재가 발생한 화재구역 내 펌프를 제외하고는 상부에 위치한 케이블은 모두 건전성을 유지하는 것으로 나타났으며, CCDP(Conditional CDP)를 평가한 결과 9.25E-07로, 화재위험도분석보다 현실적이고 불확실성이 감소한 결과를 도출할 수 있었다.

• Journal of electromagnetic engineering and science
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• 제18권3호
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• pp.188-198
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• 2018

In this study, we propose an approach for the design and satisfy the requirements of the fabrication of a small, lightweight, reliable, and stable ultra-wideband receiver for millimeter-wave bands and the contents of the approach. In this paper, we designed and fabricated a stable receiver with having low noise figure, flat gain characteristics, and low noise characteristics, suitable for millimeter-wave bands. The method uses the chip-and-wire process for the assembly and operation of a bare MMIC device. In order to compensate for the mismatch between the components used in the receiver, an amplifier, mixer, multiplier, and filter suitable for wideband frequency characteristics were designed and applied to the receiver. To improve the low frequency and narrow bandwidth of existing products, mathematical modeling of the wideband receiver was performed and based on this spurious signals generated from complex local oscillation signals were designed so as not to affect the RF path. In the ultra-wideband receiver, the gain was between 22.2 dB and 28.5 dB at Band A (input frequency, 18-26 GHz) with a flatness of approximately 6.3 dB, while the gain was between 21.9 dB and 26.0 dB at Band B (input frequency, 26-40 GHz) with a flatness of approximately 4.1 dB. The measured value of the noise figure at Band A was 7.92 dB and the maximum value of noise figure, measured at Band B was 8.58 dB. The leakage signal of the local oscillator (LO) was -97.3 dBm and -90 dBm at the 33 GHz and 44 GHz path, respectively. Measurement was made at the 15 GHz IF output of band A (LO, 33 GHz) and the suppression characteristic obtained through the measurement was approximately 30 dBc.

• 한국우주과학회:학술대회논문집(한국우주과학회보)
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• 한국우주과학회 2008년도 한국우주과학회보 제17권2호
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• pp.26.3-26.3
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• 2008

This research develops a GPS-based formation-flying testbed (FFTB) for formation navigation and control. The FFTB is a simulator in which spacecraft simulation and modeling software and loop test capabilities are integrated for test and evaluation of spacecraft navigation and formation control technologies. The FFTB is composed of a GPS measurement simulation computer, flight computer, environmental computer for providing true environment data and 3D visualization computer. The testbed can be simulated with one to two spacecraft, thus enabling a variety of navigation and control algorithms to be evaluated. In a formation flying simulation, GPS measurement are generated by a GPS measurement simulator to produce pseudorange, carrier phase measurements, which are collected and exchanged by the flight processors and subsequently processed in a navigation filter to generate relative and/or absolute state estimates. These state estimates are the fed into control algorithm, which are used to generate maneuvers required to maintain the formation. In this manner, the flight processor also serves as a test platform for candidate formation control algorithm. Such maneuvers are fed back through the controller and applied to the modeled truth trajectories to close simulation loop. Currently, The FFTB has a closed-loop capability of simulating a satellite navigation solution using software based GPS measurement, we move forward to improve using SPIRENT GPS RF signal simulator and space-based GPS receiver

• 한국전자파학회논문지
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• 제21권11호
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• pp.1304-1310
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• 2010

낮은 고도로 접근하는 고속 표적을 탐지 및 추적하기 위해 사용하는 K 대역의 FMCW(Frequency Modulated Continuous Wave) 레이다의 송수신기 설계 방법을 제안한다. 송신기는 레이다 유효 반사 면적(RCS : Radar Cross Section)이 작은 표적의 추적 및 넓은 송신 안테나 빔 폭으로 인해 고출력이 요구되며, 수신기의 경우는 인터페로메타 방법을 이용하여 표적을 추적하기 위해 다채널 수신기가 요구된다. 송신기는 고출력 송신 증폭기와 도파관 스위치 및 주파수 상향 변환 기판으로 구성된다. 수신기는 5 채널 수신기, 중간 주파수 상향 및 하향 변환 모듈, X 대역 국부 발진기 및 파형 발생 모듈로 세분화 할 수 있다. 제안한 구조를 제작하기 전에 모델링 및 시뮬레이션 방법을 통해 여러 파라메타를 측정함으로써 가능성을 입증한다. 그리고 제안한 송수신기를 산업용 부품을 사용하여 제작하고 성능 파라메타를 측정하였다. 그 결과, 송신기 출력은 39.64 dBm, 수신기 이득은 29.1 dB이며, 그 외 모든 설계 요구 조건을 만족함을 입증하였다.