• Journal of the Korean Society of Manufacturing Process Engineers
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• v.19 no.2
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• pp.63-68
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• 2020

In this study, we analyzed a cold draw (CD) bar packaging automation facility to examine its structural safety. The structural analysis focused on the frame part of the automatic packing machine for the CD round rod widely used in the industrial field, as well as the package supply device, banding suit, and crane part. As a result, we concluded that the structural safety for the banding suit, crane, and package supply device have been secured (safety factors of 9.8, 7.5, and 14.5, respectively). In addition, the safety factor of the transfer was 4.0.

• Structural Engineering and Mechanics
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• v.83 no.2
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• pp.167-178
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• 2022

Surrogate models aim to approximate the performance function with an active-learning design of experiments (DoE) to obtain a sufficiently accurate prediction of the performance function's sign for an inexpensive computational demand in reliability analysis. Nevertheless, many existing active-learning methods are limited to the Kriging model, while the uncertainties of the Kriging itself affect the reliability analysis results. Moreover, the existing general active-learning methods may not achieve a fully satisfactory balance between accuracy and efficiency. Therefore, a novel active-learning method GLM-CM is constructed to yield the issues, which conciliates several merits of existing methods. To demonstrate the performance of the proposed method, four examples, concerning both mathematical and engineering problems, were selected. By benchmarking obtained results with literature findings, various surrogate models combined with the proposed method not only provide an accurate reliability evaluation while highly alleviating the computational burden, but also provides a satisfactory balance between accuracy and efficiency compared to the other reliability methods.

• Structural Engineering and Mechanics
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• v.50 no.5
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• pp.679-695
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• 2014

A design method of second generation wavelet (SGW)-based multivariable finite elements is proposed for static and vibration beam analysis. An important property of SGWs is that they can be custom designed by selecting appropriate lifting coefficients depending on the application. The SGW-based multivariable finite element equations of static and vibration analysis of beam problems with two and three kinds of variables are derived based on the generalized variational principles. Compared to classical finite element method (FEM), the second generation wavelet-based multivariable finite element method (SGW-MFEM) combines the advantages of high approximation performance of the SGW method and independent solution of field functions of the MFEM. A multiscale algorithm for SGW-MFEM is presented to solve structural engineering problems. Numerical examples demonstrate the proposed method is a flexible and accurate method in static and vibration beam analysis.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.21 no.7
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• pp.114-119
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• 2022

The analysis conditions were established using the self-weight of the FCT automation equipment, and natural frequency analysis was performed under the same conditions. For the structural analysis, 3D modeling was performed using Inventor, and structural analysis was performed using the Ansys workbench. From the structural analysis, it was concluded that the resulting values of the stress and deformation of the equipment do not affect the equipment. From the dynamic analysis, the resonance does not occur in the equipment driving area, and thus it is judged to be stable.

• Structural Engineering and Mechanics
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• v.82 no.3
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• pp.271-282
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• 2022

The active learning surrogate model based on adaptive sampling strategy is increasingly popular in reliability analysis. However, most of the existing sampling strategies adopt the trial and error method to determine the size of the Monte Carlo (MC) candidate sample pool which satisfies the requirement of variation coefficient of failure probability. It will lead to a reduction in the calculation efficiency of reliability analysis. To avoid this defect, a new method for determining the optimal size of the MC candidate sample pool is proposed, and a new structural reliability analysis method combining polynomial chaos-based Kriging model (PC-Kriging) with adaptive sampling region is also proposed (PCK-ASR). Firstly, based on the lower limit of the confidence interval, a new method for estimating the optimal size of the MC candidate sample pool is proposed. Secondly, based on the upper limit of the confidence interval, an adaptive sampling region strategy similar to the radial centralized sampling method is developed. Then, the k-means++ clustering technique and the learning function LIF are used to complete the adaptive design of experiments (DoE). Finally, the effectiveness and accuracy of the PCK-ASR method are verified by three numerical examples and one practical engineering example.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2008.04a
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• pp.294-299
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• 2008

Nowadays there are numerous factors to design the structure even for simple one, but many parts of the work are similar to the existing or repeated simply. In this case, design of the structure is unnecessarily needed lots of effort and time. To solve difficulties of design, an integrated design automation system for retaining wall structures that widely used is developed. The automation system consists of following items, 1) XML data structure between modules, 2) CAD visualization system to provide drawing sheets, 3) excel solution to provide structural design sheets and bills of quantity, 4) design logic to analysis and calculate behaviors of structure, and 5) GUI to represent data and results for the program.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2007.04a
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• pp.361-366
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• 2007

This study reflects on the subjects of tile papers published by Journal of Automation in Construction, which has focused on such fusion-technology research areas in civil engineering as robotics and automation and observed a growing number of papers and extensiveness of participation during the 2000-2006 periods. This paper provides a current perspective on technology-fusion research in civil engineering, as reflected in the journal of Automation in Construction. Journal of Automation in Construction (AIC) is intended to be of interest of industry personnel, government personnel and researcher in Information Technology (IT) and Automation research in civil engineering. This paper is intended to show a cross country comparison of technology-fusion research through analysis of papers. The research results show that there is a need to increase research collaboration between industry and academia, government and academia, and industry and government to advance the construction industry.

• Journal of Convergence for Information Technology
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• v.8 no.3
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• pp.107-114
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• 2018

Recently, as aviation industry has been activated, development of software related to composite materials has been demanded. Composite analysis requires specialized structural analysis and test evaluation. Therefore, it is necessary to use existing commercial software to analyze the composite structure, but existing commercial software only provides limited functions. Especially, since there is no specialized software for corner structure analysis of aerospace composites spa structure, much human resources and time are consumed in structural analysis. In order to solve this problem, we developed a GUI-based automation software based on user-friendly GUI that reflects the existing corner structure analysis procedure and provides multiple breakdown criteria. To verify the reliability of the structural analysis results of the developed software, it was confirmed that there is no problem in the structural analysis performance as a result of comparing with the existing analysis results.

• Journal of Photoscience
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• v.9 no.2
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• pp.463-465
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• 2002

RIKEN Structural Genomics Beamlines have been constructed for the crystallographic analysis in the structural genomics research at synchrotron radiation facility SPring-8. Synchrotron radiation accelerates the crystallographic analysis of protein structure. The target of the research and development is focused on the automatic beamline operation to maximize beamline efficiency. We are developing the sample management system, which is composed of the sample auto-changer and the database system, for high-throughput data collection. The sample management system and the beamline operating system make it possible to execute automatic data collection without any operators. The beamlines will be ready for user operation in autumn 2002. The concept of automatic beamline operation and the present status of RIKEN Structural Genomics Beamlines will be presented.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2010.05a
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• pp.33-36
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• 2010

The attention in construction Automation is getting higher since it could be the answer to the lack of skilled labor by decrease in construction population and aging which adversely affects productivity and quality in the construction site. We are on the way to develop a construction automation system adequate for domestic circumstances in Korea; it is called RCA(Robotic-crane based Construction Automation)system. Climbing hydraulic robots system is a part of RCA system and makes Construction factory(CF) climb through the guide rail on the core wall. The safety of climbing hydraulic robots system is at issue due to the overloaded weight of CF. Preventing this issue, present study did the design verification through the structural analysis and the simulation. Mock-up test also was done to analyze the drive performance of climbing hydraulic robots system.