• 지능정보연구
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• 제4권1호
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• pp.133-147
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• 1998

Recently, many researchers have been involved in finding deterministic equations which can accurately predict future event, based on chaotic theory, or fractal theory. The theory says that some events which seem very random but internally deterministic can be accurately predicted by fractal equations. In contrast to the conventional methods, such as AR model, MA, model, or ARIMA model, the fractal equation attempts to discover a deterministic order inherent in time series data set. In discovering deterministic order, researchers have found that neural networks are much more effective than the conventional statistical models. Even though prediction accuracy of the network can be different depending on the topological structure and modification of the algorithms, many researchers asserted that the neural network systems outperforms other systems, because of non-linear behaviour of the network models, mechanisms of massive parallel processing, generalization capability based on adaptive learning. However, recent survey shows that prediction accuracy of the forecasting models can be determined by the model structure and data structures. In the experiments based on actual economic data sets, it was found that the prediction accuracy of the neural network model is similar to the performance level of the conventional forecasting model. Especially, for the data set which is deterministically chaotic, the AR model, a conventional statistical model, was not significantly different from the MLP model, a neural network model. This result shows that the forecasting model. This result shows that the forecasting model a, pp.opriate to a prediction task should be selected based on characteristics of the time series data set. Analysis of the characteristics of the data set was performed by fractal analysis, measurement of Hurst index, and measurement of Lyapunov exponents. As a conclusion, a significant difference was not found in forecasting future events for the time series data which is deterministically chaotic, between a conventional forecasting model and a typical neural network model.

• 한국전산구조공학회논문집
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• 제28권5호
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• pp.543-551
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• 2015

뛰어난 단열성능을 가지는 폴리우레탄 폼(polyurethane foam, PUF)은 다양한 구조물에서 다른 재료들과 함께 사용되고 있다. 현재 LNG 운반선의 단열시스템에는 유리섬유로 강화된 폴리우레탄 폼(reinforced-polyurethane foam, R-PUF)이 사용되고 있으며, 이는 단열재 역할뿐만 아니라 슬로싱 하중을 포함한 다양한 압축하중에 대한 구조부재 기능을 수행하고 있다. 폴리우레탄 폼은 혼합과 발포를 통해 제작되는 다공성 재료이기 때문에, 본 연구에서는 기공체적비율을 통해 재료의 거동을 모사할 수 있는 Gurson damage model을 사용하여 폴리우레탄 폼의 비선형 압축거동을 모사하였으며, 폴리우레탄 폼의 기계적 성질에 영향을 미치는 영향변수로서 기공체적비율에 의존적으로 알려져 있는 밀도를 설정하였다.

• 한국추진공학회지
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• 제21권1호
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• pp.8-16
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• 2017

고체 추진기관이 노즐마개에 의해 외기와의 교환이 완벽히 차단된다면, 구조적 안정성은 제작초기 조건인 내부조성간의 잔류반응(Post Cure, Migration etc.), 그리고 자유공간 내의 산소(또는 산화방지제)와 습기(제습제)와의 반응에 종속된다. 이로부터 발생하는 혼합형 고체추진제의 기계적 특성은 매우 복잡하며, 추진기관은 발사직전까지 일교차/년교차의 끊임없는 열하중을 받게 된다. 본 연구에서는 고체 추진기관의 제조공정인 성형오븐에서 출고 후 저장안정화까지의 거동을 고체추진제의 열유변학적 단순특성을 적용하여 신속하게 산출할 수 있는 방법을 제시하였다. 이를 위해 온도제어 가능한 Endurance Test 장치를 고안 제작하였으며, 추가적으로 점진적 응력과 변형율 증가에 따른 비선형 특성도 검토한다.

• Structural Monitoring and Maintenance
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• 제2권3호
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• pp.269-282
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• 2015

Civil structures should be designed with the lowest cost and longest lifetime possible and without service failure. The efficient and sustainable use of materials in building design and construction has always been at the forefront for civil engineers and environmentalists. Timber is one of the best contenders for these purposes particularly in terms of aesthetics; fire protection; strength-to-weight ratio; acoustic properties and seismic resistance. In recent years, timber has been used in commercial and taller buildings due to these significant advantages. It should be noted that, since the launch of the modern building standards and codes, a number of different structural systems have been developed to stabilise steel or concrete multistorey buildings, however, structural analysis of high-rise and multi-storey timber frame buildings subjected to lateral loads has not yet been fully understood. Additionally, timber degradation can occur as a result of biological decay of the elements and overloading that can result in structural damage. In such structures, the deficient members and joints require strengthening in order to satisfy new code requirements; determine acceptable level of safety; and avoid brittle failure following earthquake actions. This paper investigates performance assessment and damage assessment of older multi-storey timber buildings. One approach is to retrofit the beams in order to increase the ductility of the frame. Experimental studies indicate that Sprayed Fibre Reinforced Polymer (SFRP) repairing/retrofitting not only updates the integrity of the joint, but also increases its strength; stiffness; and ductility in such a way that the joint remains elastic. Non-linear finite element analysis ('pushover') is carried out to study the behaviour of the structure subjected to simulated gravity and lateral loads. A new global index is re-assessed for damage assessment of the plain and SFRP-retrofitted frames using capacity curves obtained from pushover analysis. This study shows that the proposed method is suitable for structural damage assessment of aged timber buildings. Also SFRP retrofitting can potentially improve the performance and load carrying capacity of the structure.

• Steel and Composite Structures
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• 제6권6호
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• pp.459-477
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• 2006

A theoretical research project is undertaken to develop integrated analysis and design tools for long span composite beams in modern high-rise buildings, and it aims to develop non-linear finite element models for practical design of composite beams. As the first paper in the series, this paper presents the development study as well as the calibration exercise of the proposed finite element models for simply supported composite beams. Other practical issues such as continuous composite beams, the provision of web openings for passage of building services, the partial continuity offered by the connections to columns as well as the behaviour of both unprotected and protected composite beams under fires will be reported separately. In this paper, details of the finite elements and the material models for both steel and reinforced concrete are first described, and finite element studies of composite beams with full details of test data are then presented. It should be noted that in the proposed finite element models, both steel beams and concrete slabs are modelled with two dimensional plane stress elements whose widths are assigned to be equal to the widths of concrete flanges, and the flange widths and the web thicknesses of steel beams as appropriate. Moreover, each shear connector is modelled with one horizontal spring and one vertical spring to simulate its longitudinal shear and pull-out actions based on measured load-slippage curves of push-out tests of shear connectors. The numerical results are then carefully analyzed and compared with the corresponding test results in terms of load mid-span deflection curves as well as load end-slippage curves. Other deformation characteristics of the composite beams such as stress and strain distributions across the composite cross-sections as well as distributions of shear forces and slippages in shear connectors along the beam spans are also examined in details. It is shown that the numerical results of the composite beams compare well with the test data in terms of various load-deformation characteristics along the entire deformation ranges. Hence, the proposed analysis and design tools are considered to be simple and yet effective for composite beams with practical geometrical dimensions and arrangements. Structural engineers are strongly encouraged to employ the models in their practical work to exploit the full advantages offered by composite construction.