• 제목/요약/키워드: Automated structural analysis

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IoT 및 도메인 지식 기반 교량 케이블 모니터링 자동화 시스템 구축 연구 (Development of Autonomous Cable Monitoring System of Bridge based on IoT and Domain Knowledge)

  • 민지영;박영수;박태림;길윤섭;진승섭
    • 한국구조물진단유지관리공학회 논문집
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    • 제28권3호
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    • pp.66-73
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    • 2024
  • 사장교에서 케이블 부재는 하중을 전달하는 가장 중요한 부재 중 하나이다. 따라서 사장교의 구조적 상태 및 안정성을 평가하기 위해서는 케이블의 상태를 파악하기 위해 지속적인 모니터링을 수행하는 것이 중요하다. 이러한 모니터링 시스템은 케이블에 부착된 가속도계를 통해 진동을 측정하고 이를 토대로 케이블 장력과 감쇠비를 추정하고, 이를 토대로 케이블의 상태 평가의 기초자료로 활용한다. 이러한 상시 모니터링 시스템은 지속적으로 진동 데이터를 측정하기 때문에 데이터 수집 시스템을 포함한 하드웨어가 안정적이고 전력 효율성이 높아야 한다. 또한 지속적으로 생성되는 대량의 진동 신호들을 사람의 개입을 최소화하며 안정적으로 분석할 수 있는 자율모니터링 시스템이 요구된다. 본 연구에서는 IoT를 활용한 도메인 지식 기반 자율 모니터링 시스템을 개발하였다. 케이블 자율 모니터링 시스템을 구현하기 위한 가장 중요한 요소는 케이블의 장력과 감쇠비의 추정을 위한 진동 신호의 주파수 영역 내 발생하는 첨두의 자동 추정이다. 본 연구에서는 도메인 지식 기반 첨두 자동 추정 알고리즘을 데이터 수집 및 On-Board Processing이 가능한 IoT 시스템에 내장하여 IoT 센서 단에서 Edge computing이 가능한 효율적인 IoT 자율 모니터링 시스템을 구현하였다. 개발된 자율 모니터링 시스템을 국내 사장교에 설치하여 장기간 현장 운영 성능을 평가하였으며, 그 결과 장기 데이터 수신률, 장력 추정의 정확성, 효율성 측면에서 기존 시스템과 비교하여 작동 성능을 확인하고 검증하였다.

Assessment of Mild Cognitive Impairment in Elderly Subjects Using a Fully Automated Brain Segmentation Software

  • Kwon, Chiheon;Kang, Koung Mi;Byun, Min Soo;Yi, Dahyun;Song, Huijin;Lee, Ji Ye;Hwang, Inpyeong;Yoo, Roh-Eul;Yun, Tae Jin;Choi, Seung Hong;Kim, Ji-hoon;Sohn, Chul-Ho;Lee, Dong Young
    • Investigative Magnetic Resonance Imaging
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    • 제25권3호
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    • pp.164-171
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    • 2021
  • Purpose: Mild cognitive impairment (MCI) is a prodromal stage of Alzheimer's disease (AD). Brain atrophy in this disease spectrum begins in the medial temporal lobe structure, which can be recognized by magnetic resonance imaging. To overcome the unsatisfactory inter-observer reliability of visual evaluation, quantitative brain volumetry has been developed and widely investigated for the diagnosis of MCI and AD. The aim of this study was to assess the prediction accuracy of quantitative brain volumetry using a fully automated segmentation software package, NeuroQuant®, for the diagnosis of MCI. Materials and Methods: A total of 418 subjects from the Korean Brain Aging Study for Early Diagnosis and Prediction of Alzheimer's Disease cohort were included in our study. Each participant was allocated to either a cognitively normal old group (n = 285) or an MCI group (n = 133). Brain volumetric data were obtained from T1-weighted images using the NeuroQuant software package. Logistic regression and receiver operating characteristic (ROC) curve analyses were performed to investigate relevant brain regions and their prediction accuracies. Results: Multivariate logistic regression analysis revealed that normative percentiles of the hippocampus (P < 0.001), amygdala (P = 0.003), frontal lobe (P = 0.049), medial parietal lobe (P = 0.023), and third ventricle (P = 0.012) were independent predictive factors for MCI. In ROC analysis, normative percentiles of the hippocampus and amygdala showed fair accuracies in the diagnosis of MCI (area under the curve: 0.739 and 0.727, respectively). Conclusion: Normative percentiles of the hippocampus and amygdala provided by the fully automated segmentation software could be used for screening MCI with a reasonable post-processing time. This information might help us interpret structural MRI in patients with cognitive impairment.

Overall damage identification of flag-shaped hysteresis systems under seismic excitation

  • Zhou, Cong;Chase, J. Geoffrey;Rodgers, Geoffrey W.;Xu, Chao;Tomlinson, Hamish
    • Smart Structures and Systems
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    • 제16권1호
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    • pp.163-181
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    • 2015
  • This research investigates the structural health monitoring of nonlinear structures after a major seismic event. It considers the identification of flag-shaped or pinched hysteresis behavior in response to structures as a more general case of a normal hysteresis curve without pinching. The method is based on the overall least squares methods and the log likelihood ratio test. In particular, the structural response is divided into different loading and unloading sub-half cycles. The overall least squares analysis is first implemented to obtain the minimum residual mean square estimates of structural parameters for each sub-half cycle with the number of segments assumed. The log likelihood ratio test is used to assess the likelihood of these nonlinear segments being true representations in the presence of noise and model error. The resulting regression coefficients for identified segmented regression models are finally used to obtain stiffness, yielding deformation and energy dissipation parameters. The performance of the method is illustrated using a single degree of freedom system and a suite of 20 earthquake records. RMS noise of 5%, 10%, 15% and 20% is added to the response data to assess the robustness of the identification routine. The proposed method is computationally efficient and accurate in identifying the damage parameters within 10% average of the known values even with 20% added noise. The method requires no user input and could thus be automated and performed in real-time for each sub-half cycle, with results available effectively immediately after an event as well as during an event, if required.

다분야통합최적설계를 위한 데이터 서버 중심의 컴퓨팅 기반구조 (Data Server Oriented Computing Infrastructure for Process Integration and Multidisciplinary Design Optimization)

  • 홍은지;이세정;이재호;김승민
    • 한국CDE학회논문집
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    • 제8권4호
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    • pp.231-242
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    • 2003
  • Multidisciplinary Design Optimization (MDO) is an optimization technique considering simultaneously multiple disciplines such as dynamics, mechanics, structural analysis, thermal and fluid analysis and electromagnetic analysis. A software system enabling multidisciplinary design optimization is called MDO framework. An MDO framework provides an integrated and automated design environment that increases product quality and reliability, and decreases design cycle time and cost. The MDO framework also works as a common collaborative workspace for design experts on multiple disciplines. In this paper, we present the architecture for an MDO framework along with the requirement analysis for the framework. The requirement analysis has been performed through interviews of design experts in industry and thus we claim that it reflects the real needs in industry. The requirements include integrated design environment, friendly user interface, highly extensible open architecture, distributed design environment, application program interface, and efficient data management to handle massive design data. The resultant MDO framework is datasever-oriented and designed around a centralized data server for extensible and effective data exchange in a distributed design environment among multiple design tools and software.

Wing weight estimation considering constraints of structural strength and stiffness in aircraft conceptual design

  • Bai, Chen;Mingqiang, Luo;Zhong, Shen;Zhe, Wu;Yiming, Man;Lei, Fang
    • International Journal of Aeronautical and Space Sciences
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    • 제15권4호
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    • pp.383-395
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    • 2014
  • According to the requirement of wing weight estimation and frequent adjustments during aircraft conceptual design, a wing weight estimation method considering the constraints of structural strength and stiffness is proposed to help designers make wing weight estimations rapidly and accurately. This method implements weight predictions on the basis of structure weight optimization with stiffness constraints and strength constraints, which include achievement of wing shape parametric modeling, rapid structure layout, finite element (FE) model automated generation, load calculation, structure analysis, weight optimization, and weight computed based on modeling. A software tool is developed with this wing weight estimation method. This software can realize the whole process of wing weight estimation with the method and the workload of wing weight estimation is reduced because much of the work can be completed by the software. Finally, an example is given to illustrate that this weight estimation method is effective.

우리나라-노르웨이 고등어산업의 유통 경쟁력 비교 연구 (Comparison of Distribution Competitiveness of the Mackerel Industry between Korea and Norway)

  • 김대영;강종호
    • 수산해양교육연구
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    • 제27권6호
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    • pp.1685-1692
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    • 2015
  • This study examines the mackerel distribution systems in Norway which has a leading mackerel industry, and has the purpose of analyzing the effects of structural improvements for the development of Korea's mackerel industry. The landing and distribution status of Korea and Norway's mackerel industry was compared, and the effects of structural improvements was analyzed under the assumption that a number of factors would be improved after an analysis of competitiveness. Special features of the landing and distribution systems of mackerel in Norway are Reduction of transportation costs and transportation time through E-auctions, fish Pumps, freshness management using state-of-the-art equipment and technology such as sea water cooling systems, direct landing at processing factories and Automation through fully automated sorting & packaging systems. The distribution competitiveness of Korea and Norway's mackerel industry was compared through the qualitative review of landing time and the length of distribution channel, distribution costs due to differences in trading method, quality and hygiene management and merchandising. For Korea's mackerel industry to have international competitiveness, they must have efficiency throughout the phases of landing, processing and distribution systems as observed in case of Norway.

LRFD에 의한 강상판형교의 시스템 최적설계 (System Optimization of Orthotropic Steel-Deck Bridges by Load and Resistance Factor Design)

  • 조효남;민대홍;김현우
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1998년도 봄 학술발표회 논문집
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    • pp.262-271
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    • 1998
  • Recent, more and more steel deck bridges are adopted for the design of long span bridges and the upgrading of existing concrete deck bridges, mainly because of reduced self weight, higher stiffness and efficient erection compared to concrete decks. The main objective of this study is to propose on formulation of the design optimizations to develop an optimal desist program required for optimum desist for orthotropic steel-deck bridges. The objective function of the optimization is formulated as a minimum initial cost design problem. The behavior and design constraints are formulated based on the ASD and LRFD criteria of the Korean Bridge Design Code(1996). The optimum design program developed in this study consists of two steps. In the first step the system optimization of the steel box girder bridges is carried out. And in the second step the program provided the optimum design of the orthotropic steel-deck with close ribs. In the optimal design program the analysis module for the deck optimization is based on the Pelican Esslinger method. The optimizer module of the program utilizes the ADS(Automated Desist Synthesis) routines using the optimization techniques fuor constrained optimization. From the results of real application examples, The cost effectiveness of optimum orthotropic steel-deck bridges designs based on both ASD and LRFD methods is investigated by comparing the results with those of conventional designs, and it may be concluded that the design developed in this study seems efficient and robust for the optimization of orthotropic steel-deck bridges

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순환적 분할에 의한 유한 요소망 자동 생성 알고리즘 (An Algorithm of Automatic Mesh Generation by Recursive Subdivisions)

  • 이재영
    • 전산구조공학
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    • 제9권3호
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    • pp.145-155
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    • 1996
  • 이 논문은 평면 상의 영역 경계와 조절선(control curve)에 맞추어서 요소망을 자동 생성하는 알고리즘을 제시하는데 목적이 있다. 여기서 제안하는 알고리즘은 요소망 생성 영역의 경계와 조절선들을 하나의 수퍼 루프(super loop)로 연결하고, 루프(loop)위에 있는 두 절점을 연결하는 최소벌점(minimum penalty)의 경로를 따라서 순환적으로 분할하여 요소를 생성하는 기법에 바탕을 두고 있다. 이 방법은 요소망 생성영역의 형상에 제한이 없으며, 모든 과정을 쉽게 자동화 할 수 있기 때문에 복잡한 영역의 요소망을 최소한의 사용자 개입을 통해서 간편하게 처리할 수 있는 프로그램으로 쉽게 이행할 수 있다. 이 알고리즘은 곡면 요소망 생성이나, 적응적 요소망 생성등에 쉽게 확장하여 적용할 수 있다.

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Structural system simulation and control via NN based fuzzy model

  • Tsai, Pei-Wei;Hayat, T.;Ahmad, B.;Chen, Cheng-Wu
    • Structural Engineering and Mechanics
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    • 제56권3호
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    • pp.385-407
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    • 2015
  • This paper deals with the problem of the global stabilization for a class of tension leg platform (TLP) nonlinear control systems. It is well known that, in general, the global asymptotic stability of the TLP subsystems does not imply the global asymptotic stability of the composite closed-loop system. Finding system parameters for stabilizing the control system is also an issue need to be concerned. In this paper, we give additional sufficient conditions for the global stabilization of a TLP nonlinear system. In particular, we consider a class of NN based Takagi-Sugeno (TS) fuzzy TLP systems. Using the so-called parallel distributed compensation (PDC) controller, we prove that this class of systems can be globally asymptotically stable. The proper design of system parameters are found by a swarm intelligence algorithm called Evolved Bat Algorithm (EBA). An illustrative example is given to show the applicability of the main result.

Buckling of rectangular plates with mixed edge supports

  • Xiang, Y.;Su, G.H.
    • Structural Engineering and Mechanics
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    • 제14권4호
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    • pp.401-416
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    • 2002
  • This paper presents a domain decomposition method for buckling analysis of rectangular Kirchhoff plates subjected to uniaxial inplane load and with mixed edge support conditions. A plate is decomposed into two rectangular subdomains along the change of the discontinuous support conditions. The automated Ritz method is employed to derive the governing eigenvalue equation for the plate system. Compatibility conditions are imposed for transverse displacement and slope along the interface of the two subdomains by modifying the Ritz trial functions. The resulting Ritz function ensures that the transverse displacement and slope are continuous along the entire interface of the two subdomains. The validity and accuracy of the proposed method are verified with convergence and comparison studies. Buckling results are presented for several selected rectangular plates with various combination of mixed edge support conditions.