• Title/Summary/Keyword: CAE data management

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Integration of CAE Data Management with PLM by using Product Views (제품관점을 이용한 CAE 자료관리와 PLM 통합)

  • Do, Nam-Chul;Yang, Young-Soon
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.21 no.6
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    • pp.527-533
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    • 2008
  • This paper proposes a product data model and associated process for CAE activities in context of integrated product development. The data model and process enable Product Lifecycle Management(PLM) systems to integrate currently separated CAE activities into the main product development process. The product view concept in the proposed product data model supports independent CAE activities including analysis of various alternatives based on shared product structures with design departments and seamless translation of the CAE result to design product views. The proposed model is validated through an implementation of a prototype PLM system that can integrate and synchronize CAE process with the company-wide product development process.

Development of CAE Data Translation Technique for a Virtual Reality Environment (가상현실 환경을 위한 해석데이터 변환 기술 개발)

  • Song, In-Ho;Yang, Jeong-Sam;Jo, Hyun-Jei;Choi, Sang-Su
    • Korean Journal of Computational Design and Engineering
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    • v.13 no.5
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    • pp.334-341
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    • 2008
  • Computer-aided engineering (CAE) analysis is considered essential for product development because it decreases the simulation time, reduces the prototyping costs, and enhances the reusability of product parts. The reuse of quality-assured CAE data has been continually increasing due to the extension of product lifecycle management; PLM, which is widely used, shortens the product development cycle and improves the product quality. However, less attention has been paid to systematic research on the interoperability of CAE data because of the diversity of CAE data and because the structure of CAE data is more complex than that of CAD data. In this paper, we suggest a CAE data exchange method for the effective sharing of geometric and analysis data. The method relies on heterogeneous CAE systems, a virtual reality system, and our developed CAE middleware for CAE data exchange. We also designed a generic CAE kernel, which is a critical part of the CAE middleware. The kernel offers a way of storing analysis data from various CAE systems, and, with the aid of a script command, enabling the data to be translated for a different system. The reuse of CAE data is enhanced by the fact that the CAE middle-ware can be linked with a virtual reality system or a product data management system.

Multidisciplinary CAE Management System Using a Lightweight CAE Format (경량 CAE 포맷을 이용한 다분야 CAE 관리 시스템 개발)

  • Park, Byoung-Keon;Kim, Jay-Jung
    • Korean Journal of Computational Design and Engineering
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    • v.15 no.2
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    • pp.157-165
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    • 2010
  • In the manufacturing industries, CAE analysis results are frequently required during the product development process for design verification. CAE data which include all related information of an analysis is, however, not efficiently shared among engineers because CAE data size is in general very large to deal with. At first, we represent a proposed lightweight format which is capable to include all the types of CAE analysis results and to support hierarchical data structure. Since each CAE system has different data structures of its own, a translator which translates to the proposed format is also represented. Unlike the design environment with CAD system, many CAE systems are used in a manufacturing company because many sorts of analysis are performed usually for a product design. Thus, lots of CAE results are generated and occupy huge size within storage, and they make it harder to manage or share many CAE results efficiently. A multi-CAE management system which is able to share many types of CAE data simultaneously using lightweight format is proposed in this paper. Finally, an implementation of the system for this will be introduced.

Connection of PDM System and Web-Based CAE Supporting System for Small and Medium Enterprises (중소기업을 위한 제품정보관리 시스템과 웹기반 CAE 지원 시스템의 연동)

  • Bang, Je-Sung;Lee, Jai-Kyung;Han, Seung-Ho;Park, Seong-Whan;Lee, Tae-Hee
    • Korean Journal of Computational Design and Engineering
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    • v.13 no.6
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    • pp.459-468
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    • 2008
  • A web-based Computer-Aided Engineering (CAE) supporting system is connected with a Product Data Management (PDM) system for Small and Medium Enterprises (SMEs) suffering from the lack of building hardware, software and related experts. An analysis of current business models and worksite requirements provides an improved process model and data to be shared between the PDM system and the CAE supporting system. Since all engineering tasks such as geometric modeling, mesh generation, static stress and modal analysis, and fatigue durability analysis are automated in the CAE supporting system, the user in charge of the CAE have only to configure the concerned values of design variables and result data through the web page. The existing Change Management module of the PDM system is modified for seamless data exchange, i.e. sending the Engineering Change Order (ECO) data to the CAE supporting system and receiving the CAE result data bark. The hi-directional data transfers between the PDM system and the CAE supporting system is made possible by adaptors bused on the Simple Object Access Protocol (SOAP). The current approach will be very helpful for SMEs that only have the PDM system and have no adequate infrastructure for CAE.

Application of convolutional autoencoder for spatiotemporal bias-correction of radar precipitation (CAE 알고리즘을 이용한 레이더 강우 보정 평가)

  • Jung, Sungho;Oh, Sungryul;Lee, Daeeop;Le, Xuan Hien;Lee, Giha
    • Journal of Korea Water Resources Association
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    • v.54 no.7
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    • pp.453-462
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    • 2021
  • As the frequency of localized heavy rainfall has increased during recent years, the importance of high-resolution radar data has also increased. This study aims to correct the bias of Dual Polarization radar that still has a spatial and temporal bias. In many studies, various statistical techniques have been attempted to correct the bias of radar rainfall. In this study, the bias correction of the S-band Dual Polarization radar used in flood forecasting of ME was implemented by a Convolutional Autoencoder (CAE) algorithm, which is a type of Convolutional Neural Network (CNN). The CAE model was trained based on radar data sets that have a 10-min temporal resolution for the July 2017 flood event in Cheongju. The results showed that the newly developed CAE model provided improved simulation results in time and space by reducing the bias of raw radar rainfall. Therefore, the CAE model, which learns the spatial relationship between each adjacent grid, can be used for real-time updates of grid-based climate data generated by radar and satellites.

Study on the Design of CAE Modeler for a Weapon System Supporting a Large Volume CAE Analysis (대용량 해석을 지원하는 무기체계 연구 개발 전용 모델러 설계 기술 연구)

  • Song, Il-Hwan;Kim, Ik-June;Li, Jinggao;Yu, Yong-Gyun;Han, Soon-Hung
    • Korean Journal of Computational Design and Engineering
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    • v.15 no.1
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    • pp.43-50
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    • 2010
  • Generation of over one hundred million mesh is essential for getting an exact analysis result of penetration, combustion, and explosion of missile. But because no domestic modeler to support this exists and a modeler only for missile also has not been developed yet, it is too difficult to get this goal. In this research we develop a modeler only for an engineering analysis of missile using 64bit computing system to solve current problems.

IMPLEMENTATION OF PRODUCT DATA MANAGEMENT SYSTEM FOR DESIGN OF BRIDGE STRUCTURES

  • Jin-Suk Kang;Seung-Ho Jung;Yoon-Bum Lee;Kwang-Myong Lee
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.1318-1323
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    • 2009
  • In recent years, dramatic advances in information technology have motivated the construction industry to improve its productivity. Computer-based information technology includes Computer-Aided Design (CAD), Computer-Aided Engineering (CAE), Computer-Aided Manufacturing (CAM), Enterprise Resource Planning (ERP), Digital Mock-Up (DMU) and Product Data Management (PDM). Most construction industries are trying to apply these technologies for quality improvement, reduction of construction time and cost. PDM is very useful for managing data and process related to product design and manufacturing. PDM system has various functions such as drawing and engineering document management, product structure and structure modification management, part classification management, workflow management, and project management. In this paper, PDM system was applied to the design of steel-concrete composite girder bridge. To make a practical guidance for PDM implementation to bridge design, the procedure for its implementation was presented. Consequently, this paper could be useful to enhance the efficiency of bridge design.

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A Study on the way to improve the rear van's durability of Korean Light Tactical Vehicle (한국형 전술차량 후방밴 강성·강도 보강을 통한 내구성 향상에 관한 연구)

  • Park, Jinwon;Kim, Dooho;Song, Buguen;Kim, Seonjin;Yun, Sangjin
    • Journal of Korean Society for Quality Management
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    • v.46 no.2
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    • pp.269-282
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    • 2018
  • Purpose: The purpose of this study was to improve the FRP Van's durability by analyzing the problematic parameters, redesigning the rear van, and verifying the design drafts using the CAE analysis & Rig test. Methods: The collected data through the government quality inspection and field spot check were thoroughly analyzed through the characteristics diagram and the improvement suggestions were verified by performing CAE analysis, like the dynamic stiffness, Torsional stiffness, open/close condition's strength, Full car durability and Carrying out the actual test. Results: The results of this study are as follows; The output of CAE analysis shows that improvement suggestions have considerable effects on the reinforcement of FRP structure, and the actual torsion and open/close condition durability test prove that rear van may have durable life which is equivalent to vehicle life cycle. Conclusion: The structural weakness of KLTV's FRP rear van was overcome by applying the stiffener in rear van and changing the bonding method of each FRP pieces. That suggestions were proved using CAE analysis and Rig test.

건설업에 있어서의 컴퓨터 이용

  • 이병해
    • Proceedings of the Korean Geotechical Society Conference
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    • 1991.10a
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    • pp.3-20
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    • 1991
  • This paper wil1 describe the background and "dynamics" of system integration of construction industry. It wil1 address questions such as, why the construction industry needs to integrate work process through computer based system. Then it describes about 3D modeling, project, management, procurement, engineering data bases, construction CAE. Also the paper presents recent project experience at school environment.

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