• Journal of Welding and Joining
• /
• 제34권2호
• /
• pp.67-72
• /
• 2016

Aluminum alloy is one of light weight material and it is used to make LNG tank and ship. However, in order to weld aluminum alloy high density heat source is needed. In this paper, I-butt welding of Al 5083 with 6mm thickness using Plasma-MIG welding was carried out. The experiment was performed to investigate the influence of plasma-MIG welding parameters such as plasma current, wire feeding rate, MIG-welding voltage and welding speed on the tensile strength of weld. In addition we suggested 3 strength estimation models which are second order polynomial regression model, multiple nonlinear regression model and neural network model. The estimation performance of 3 models was evaluated in terms of average error rate (AER) and their values were 0.125, 0.238, and 0.021 respectively. Neural network model which has training concept and reflects non -linearity was best estimation performance.

• Elastomers and Composites
• /
• 제47권3호
• /
• pp.201-209
• /
• 2012

그로멧은 자동차의 고무부품들 중의 하나로 에틸렌 프로필렌 고무로 구성되어 있으며, 고무의 비선형 초탄성 성질은 고무제품의 거동을 예측하는데 중요하다. 본 논문에서는, 일축인장시험과 이축인장시험을 통하여 안정된 응력-변형률 관계를 구하고 그로멧에 대한 유한요소해석을 수행하였고, 수명예측을 위한 노화시험을 소개하였다.

• 대한조선학회논문집
• /
• 제52권3호
• /
• pp.187-197
• /
• 2015

This study aims the development of a semi-analytic method for the parametric roll of large containerships advancing in longitudinal waves. A 1.5 Degree-of-Freedom(DOF) model is proposed to account the change of transverse stability induced by wave elevations and vertical motions (heave and pitch). By approximating the nonlinearity of restoring moment at large heel angles, the magnitude of roll amplitude is predicted as well as susceptibility check for parametric roll occurrence. In order to increase the accuracy of the prediction, the relationship between righting arm(GZ) and metacentric height(GM) is examined in the presence of incident waves, and then a new formula is proposed. Based on the linear approximation of the mean and first harmonic component of GM, the equation of parametric roll in irregular wave excitations is introduced, and the computational results of the proposed model are validated by comparing those of weakly nonlinear simulation based on an impulse-response-function method combined with strip theory. The present semi-analytic doesn’ t require heavy computational effort, so that it is very efficient particularly when numerous sea conditions for the analysis of parametric roll should be considered.

• 제어로봇시스템학회논문지
• /
• 제17권3호
• /
• pp.211-217
• /
• 2011

This paper proposes a quasi-optimal linear DOA (Direction-of-Arrival) estimator which is necessary for the development of a real-time robot auditory system tracking moving acoustic source. It is well known that the use of conventional nonlinear filtering schemes may result in the severe performance degradation of DOA estimation and not be preferable for real-time implementation. These are mainly due to the inherent nonlinearity of the acoustic signal model used for DOA estimation. This motivates us to consider a new uncertain linear acoustic signal model based on the linear prediction relation of a noisy sinusoid. Using the suggested measurement model, it is shown that the resultant DOA estimation problem is cast into the NCRKF (Non-Conservative Robust Kalman Filtering) problem [12]. NCRKF-based DOA estimator provides reliable DOA estimates of a fast moving acoustic source in spite of using the noise-corrupted measurement matrix in the filter recursion and, as well, it is suitable for real-time implementation because of its linear recursive filter structure. The computational efficiency and DOA estimation performance of the proposed method are evaluated through the computer simulations.

• 전자공학회논문지 IE
• /
• 제48권2호
• /
• pp.19-25
• /
• 2011

본 논문에서는 연료 소모량을 예측하기 위해 차량 데이터를 이용한 신경회로망 모델링 방식을 제안하였다. 제안한 신경회로망의 훈련과 시험 데이터를 획득하기 위해 시내를 중형 가솔린 차량을 주행하였고, OBD-II 포트에서 입력 데이터로 속도, 엔진 RPM, 쓰로틀 위치 센서(TPS), 흡기 공기량(MAF)을 측정하였고, 목표값으로 연료 소모량을 측정하였다. 입력과 출력 데이터의 빈선형 맵핑을 위해 다층 퍼셉트론 네트워크를 사용하였다. 신경회로망 모델은 평균 제곱오차가 $1.306{\times}10^{-6}$로 연료 소모량을 매우 잘 예측함을 확인하였다.

• 한국지반공학회:학술대회논문집
• /
• 한국지반공학회 2009년도 세계 도시지반공학 심포지엄
• /
• pp.1170-1180
• /
• 2009

Recently this country has carried out the coast reclamation centering on the west and south coast for effective practical use of a country, considering purchase of materials and environmental problem, most reclaiming work is processing to spoil reclamation which is easy to secure the amount of materials. In case of weak ground that is formed by spoil reclamation like this, initial moisture content is high, as slurry state that is rarely revealed ground strength, compressibility and water permeability have been shown nonlinear change by compaction progress. Analysis of weak ground is unreasonable because the existing Terzaghi compaction theory analyzes compaction fixed number to regular invariable number for prediction of compaction state. This study computes the relation with void ratio-effective pressure and void ratio-finite transformation which is the most basic matter to predict finite strain compaction state of the south coast spoil, and analyze the basic feature to predict compaction feature of the south coast spoil reclaimed ground.

• Advances in concrete construction
• /
• 제3권2호
• /
• pp.91-102
• /
• 2015

In this paper, the load-deflection analysis of the Carbon Fiber Reinforced Polymer (CFRP) strengthened Reinforced Concrete (RC) slab using Recurrent Neural Network (RNN) is investigated. Six reinforced concrete slabs having dimension $1800{\times}400{\times}120mm$ with similar steel bar of 2T10 and strengthened using different length and width of CFRP were tested and compared with similar samples without CFRP. The experimental load-deflection results were normalized and then uploaded in MATLAB software. Loading, CFRP length and width were as neurons in input layer and mid-span deflection was as neuron in output layer. The network was generated using feed-forward network and a internal nonlinear condition space model to memorize the input data while training process. From 122 load-deflection data, 111 data utilized for network generation and 11 data for the network testing. The results of model on the testing stage showed that the generated RNN predicted the load-deflection analysis of the slabs in acceptable technique with a correlation of determination of 0.99. The ratio between predicted deflection by RNN and experimental output was in the range of 0.99 to 1.11.

• Geomechanics and Engineering
• /
• 제9권5호
• /
• pp.585-599
• /
• 2015

Laboratory model tests were conducted to investigate the effect of surcharge loading rate on the magnitude of lateral displacement of prefabricated vertical drains (PVDs) improved deposit. The test results indicate that under the condition that the system had sufficient factor of safety (FS) ($FS{\geq}1.2$), for the similar model ground under the same total applied surcharge load, the lateral displacement increases with the increase of loading rate. The test results have been used to check the validity of a previously proposed method for predicting the maximum lateral displacement, and it shows that the data points are around the middle line of the predicted range, which supports the usefulness of the proposed method. The basic idea of the prediction method is an empirical relationship between the normalized lateral displacement (NLD) and a ration of load to the undrained shear strength of the deposit (RLS). The model test results offer some modifications of the NLD-RLS relationship: (1) instead of a bilinear relationship, NLD-RLS relationship may be entirely nonlinear; (2) the upper bound value of RLS for the proposed method can be used may be limited to 2.1 instead of the originally proposed value of 3.0.

• Ocean Systems Engineering
• /
• 제8권1호
• /
• pp.21-32
• /
• 2018

Due to the escalation in hydrocarbon consumption, the offshore industry is now looking for advanced technology to be employed for deep sea exploration. Riser system is an integral part of floating structure used for such oil and gas extraction from deep water offering a system of drill twines and production tubing to spread the exploration well towards the ocean bed. Thus, the marine risers need to be precisely employed. The incorporation of the strengthening material, fiber reinforced polymer (FRP) for deep and ultra-deep water riser has drawn extensive curiosity in offshore engineering as it might offer potential weight savings and improved durability. The design for FRP strengthening involves the local design for critical loads along with the global analysis under all possible nonlinearities and imposed loadings such as platform motion, gravity, buoyancy, wave force, hydrostatic pressure, current etc. for computing and evaluating critical situations. Finite element package, ABAQUS/AQUA is the competent tool to analyze the static and dynamic responses under the offshore hydrodynamic loads. The necessities in design and operating conditions are studied. The study includes describing the methodology, procedure of analysis and the local design of composite riser. The responses and fatigue damage characteristics of the risers are explored for the effects of FRP strengthening. A detail assessment on the technical expansion of strengthening riser has been outlined comprising the inquiry on its behavior. The enquiry exemplifies the strengthening of riser as very potential idea and suitable in marine structures to explore oil and gas in deep sea.

• 항공우주기술
• /
• 제9권1호
• /
• pp.9-16
• /
• 2010

본 연구에서는 이전에 구조시험[3]을 실시하였던 압축하중을 받는 샌드위치 패널 시편에 대한 구조 해석을 수행하였다. 구조 해석을 위해 세 가지 방식의 유한요소 모델링을 고려하였으며, 각각의 유한요소 모델을 이용해 선형좌굴해석과 비선형해석을 수행하였다. 이를 통해, 복합재 샌드위치 패널의 압축 좌굴 하중의 정확한 예측을 위해서는 면재는 쉘요소로 심재는 솔리드 요소로 모델링하는 것이 적절함을 확인하였다. 이것은 전체 샌드위치를 쉘요소로 하는 경우, 심재의 국부적인 crushing 효과와 심재의 전단 강성의 영향을 고려할 수 없기 때문이다. 만일 샌드위치 패널이 좌굴 하중 보다 면재의 재료 파손이 더 취약한 경우, 면재의 재료 파손 하중 및 파손 위치의 정확한 예측을 위해서는 샌드위치를 두께 방향으로 한 개의 쉘 요소로 모델링 하는 것이 적절하였다.