• 제목/요약/키워드: twin pipeline

검색결과 4건 처리시간 0.016초

Free transverse vibrations of an elastically connected simply supported twin pipe system

  • Balkaya, Muge;Kaya, Metin O.;Saglamer, Ahmet
    • Structural Engineering and Mechanics
    • /
    • 제34권5호
    • /
    • pp.549-561
    • /
    • 2010
  • In this paper, free vibration analyses of a parallel placed twin pipe system simulated by simply supported-simply supported and fixed-fixed Euler-Bernoulli beams resting on Winkler elastic soil are presented. The motion of the system is described by a homogenous set of two partial differential equations, which is solved by a simulation method called the Differential Transform Method (DTM). Free vibrations of an elastically connected twin pipe system are realized by synchronous and asynchronous deflections. The results of the presented theoretical analyses for simply supported Euler-Bernoulli beams are compared with existing ones in open literature and very good agreement is demonstrated.

A real-time unmeasured dynamic response prediction for nuclear facility pressure pipeline system

  • Seungin Oh ;Hyunwoo Baek ;Kang-Heon Lee ;Dae-Sic Jang;Jihyun Jun ;Jin-Gyun Kim
    • Nuclear Engineering and Technology
    • /
    • 제55권7호
    • /
    • pp.2642-2649
    • /
    • 2023
  • A real-time unmeasured dynamic response prediction process for the nuclear power plant pressure pipeline is proposed and its performance is tested in the test-loop system (KAERI). The aim of the process is to predict unmeasurable or unreachable dynamic responses such as acceleration, velocity, and displacement by using a limited amount of directly measured physical responses. It is achieved by combining a well-constructed finite element model and robust inverse force identification algorithm. The pressure pipeline system is described by using the displacement-pressure vibro-acoustic formulation to consider fully filled liquid effect inside the pipeline structure. A robust multiphysics modal projection technique is employed for the real-time sensor synchronized prediction. The inverse force identification method is also derived and employed by using Bathe's time integration method to identify the full-field responses of the target system from the modal domain computation. To validate the performance of the proposed process, an experimental test is extensively performed on the nuclear power plant pressure pipeline test-loop under operation conditions. The results show that the proposed identification process could well estimate the unmeasured acceleration in both frequency and time domain faster than 32,768 samples per sec.

Generating 3D Digital Twins of Real Indoor Spaces based on Real-World Point Cloud Data

  • Wonseop Shin;Jaeseok Yoo;Bumsoo Kim;Yonghoon Jung;Muhammad Sajjad;Youngsup Park;Sanghyun Seo
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제18권8호
    • /
    • pp.2381-2398
    • /
    • 2024
  • The construction of virtual indoor spaces is crucial for the development of metaverses, virtual production, and other 3D content domains. Traditional methods for creating these spaces are often cost-prohibitive and labor-intensive. To address these challenges, we present a pipeline for generating digital twins of real indoor environments from RGB-D camera-scanned data. Our pipeline synergizes space structure estimation, 3D object detection, and the inpainting of missing areas, utilizing deep learning technologies to automate the creation process. Specifically, we apply deep learning models for object recognition and area inpainting, significantly enhancing the accuracy and efficiency of virtual space construction. Our approach minimizes manual labor and reduces costs, paving the way for the creation of metaverse spaces that closely mimic real-world environments. Experimental results demonstrate the effectiveness of our deep learning applications in overcoming traditional obstacles in digital twin creation, offering high-fidelity digital replicas of indoor spaces. This advancement opens for immersive and realistic virtual content creation, showcasing the potential of deep learning in the field of virtual space construction.

고속 동기화를 위한 디지털트윈 개념 모델 설계 (Designing Digital Twin Concept Model for High-Speed Synchronization)

  • 임채영;여채은;성호진
    • 문화기술의 융합
    • /
    • 제9권6호
    • /
    • pp.245-250
    • /
    • 2023
  • 현실공간의 정보를 가상의 공간으로 모사하는 디지털 트윈 기술은 다양한 분야에서 채택되고 있다. 디지털 트윈에 대한 관심은 Industry 4.0 기반의 스마트제조와 같은 첨단 제조 분야를 중심으로 관심이 커지고 있다. 그리고 디지털 트윈의 시스템을 운영하면 수많은 데이터가 발생하며 기술의 분야에 따라 발생하는 데이터는 특성이 다르기때문에 효율적으로 자원을 관리하고, 최적화된 디지털 트윈 플랫폼 기술이 필요하다. 첨단 제조 분야를 중심으로 디지털 트윈의 파이프라인에 대한 연구가 지속적으로 진행되어 왔으나 플랜트 분야의 데이터에 적합한 고속의 파이프라인 연구는 아직 부족하다. 그렇기에 본 논문에서는 Apache Kafka를 통해 고속으로 쏟아지는 플랜트분야의 디지털 트윈 데이터에 특화된 파이프라인 설계 방식을 제안한다. 제안된 모델은 플랜트의 정보를 revit 기반으로 적용하고, 플랜트에 특화된 데이터를 Apache Kafka 통해 수집하며, 경량화된 CFD엔진을 탑재하여 기존의 제조 분야의 디지털 트윈 기술보다 플랜트분야에 적합한 디지털 트윈의 모델을 구현할 수 있다.