• Title/Summary/Keyword: Abnormal Displacement

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A Study of auto-body panel correction of forming analysis that use One-step Forming method (One-step Forming 방법을 이용한 차체 판넬 성형해석에 관한 연구)

  • Jung Dong Won;Hwang Jae Sin
    • Journal of the Korean Society for Precision Engineering
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    • v.22 no.2
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    • pp.89-97
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    • 2005
  • Thin plate correction of forming process that it is nowadays smile change of simple contact surface as it becomes possible that forecast dictionary numerically exactly to analyze comparative big comp displacement real industry spot problems between complicated and abnormal curved line shapes and thin plate and die more reliable and need many efforts yet economical analysis method is required and develops this efficient algorithm. This research analyzes correction of forming and examined possibility and validity of spot application using One-Step Finite Element Method. Its application is being increased especially in the automotive industrial area for the cost reduction, weight saving, and improvement of strength.

Measurements of Remote Micro Displacements of the Piping System and a Real Time Diagnosis on Their Working States Using a PIV and a Neural Network (PIV와 신경망을 이용한 배관시스템 원격 미세변위 측정과 실시간 작동상태 진단)

  • Jeon, Min Gyu;Cho, Gyeong Rae;Oh, Jung Soo;Lee, Chang Je;Doh, Deog Hee
    • Transactions of the Korean hydrogen and new energy society
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    • v.24 no.3
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    • pp.264-274
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    • 2013
  • Piping systems play an important role in gas and oil transferring system. In the piping system, there are many elements, such as valves and flow meters. In order to check their normal operating conditions, each signal from each element is displayed on the monitor in the pipe control room. By the way, there are several accidental cases in the piping system even if all signals from the local elements are judged to be normal on the monitor in the control room. Further, opposite cases often happen even the monitor shows abnormal while the local elements work normal. To overcome this abnormal functions, it is not so easy to construct the environment in which sensors detecting the working states of all elements installed in the piping system. In this paper, a new non-contact measurement technique which can calculate the elements' delicate displacements by using a PIV(particle image velocimetry) and diagnose their working states by using a neural network is proposed. The measurement system consists of a host computer, a micro system, a telescope and a high-resolution camera. As a preliminary test, the constructed measurement system was applied to measure delicate vibrations of mobile phones. For practical application, a pneumatic system was measured by the constructed system.

THE TREATMENT OF SEVERELY ROTATED MAXILLARY INCISORS BY MESIODENS (정중과잉치로 인해 회전된 상악 중절치의 치험례)

  • Lee, Bum-Eui;Kim, Young-Jae;Kim, Jung-Wook;Jang, Ki-Taeg;Lee, Sang-Hoon;Kim, Chong-Chul;Hahn, Se-Hyun
    • Journal of the korean academy of Pediatric Dentistry
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    • v.31 no.4
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    • pp.630-635
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    • 2004
  • The etiology of mesiodens is unknown but the most widely accepted theory is the hyperactivity of the dental lamina. Complications of mesiodens are delayed or prevented eruption of maxillary central incisors, displacement or rotation of permanent teeth, crowding of affected region, abnormal diastema or permanent space closure, dilaceration or abnormal root development of permanent teeth, primordial or follicular cyst formation, root resorption of adjacent teeth, eruption into nasal cavity. If mesiodens rotate the maxillary central incisors, space deficiency is not common and relapse is very common. So overcorrection is needed. To prevent the rotational relapse, early treatment, overcorrection, long retention period, properly formed proximal surface, use of coupled force, and surgical techniques have been suggested. The authors present two cases, whose chief complain were severely rotated maxillary incisors by mesiodens, treated by orthodontic and surgical technique and showed good results.

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An Analysis on the Lateral Displacement of Earth Retaining Structures Using Fractal Theory (플랙탈 이론을 이용한 흙막이 벽체 수평변위 분석)

  • Lee, Chang-No;Jung, Kyoung-Sik;Koh, Hyung-Seon;Park, Heon-Sang;Lee, Seok-Won;Yu, Chan
    • Journal of the Korean Geotechnical Society
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    • v.31 no.4
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    • pp.19-29
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    • 2015
  • Nowadays, the importance of the information management of construction sites to achieve the goal of safety construction. This management uses the collaborated analysis of in-situ monitoring data and numerical analysis, especially of an earth retaining structures of excavation sites. In this paper, the fractal theory was applied to actually monitored data from various excavation sites to develop the alternative interpolation technique which could predict the displacement behavior of unknown location around the monitoring locations and the future behavior of the monitoring locations with the steps of excavation. Data, mainly from inclinometer, were collected from various sites where retaining structures were collapsed during construction period, as well as from normal sites with the characteristics of geology, excavation method etc. In the analyses, Hurst exponent (H) was estimated with monitored periods using the Rescaled range analysis (R/S analysis) method applying the H in simulation processes. As the results of the analyses, Hurst exponents were ranged from 0.7 to 0.9 and showed the positive correlation of H > 1/2. The simulation processes, then, with the Hurst exponent estimated by Rescaled range analysis method showed reliable results. In addition, it was also expected that the variation of Hurst exponents with the monitoring period could instruct the abnormal behavior of an earth retaining structures to directors or operators. Therefore it was concluded that fractal theory could be applied for predicting the lateral displacement of unknown location and the future behavior of an earth retaining structures to manage the safety of construction sites during excavation period.

Development of Low-Power IoT Sensor and Cloud-Based Data Fusion Displacement Estimation Method for Ambient Bridge Monitoring (상시 교량 모니터링을 위한 저전력 IoT 센서 및 클라우드 기반 데이터 융합 변위 측정 기법 개발)

  • Park, Jun-Young;Shin, Jun-Sik;Won, Jong-Bin;Park, Jong-Woong;Park, Min-Yong
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.34 no.5
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    • pp.301-308
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    • 2021
  • It is important to develop a digital SOC (Social Overhead Capital) maintenance system for preemptive maintenance in response to the rapid aging of social infrastructures. Abnormal signals induced from structures can be detected quickly and optimal decisions can be made promptly using IoT sensors deployed on the structures. In this study, a digital SOC monitoring system incorporating a multimetric IoT sensor was developed for long-term monitoring, for use in cloud-computing server for automated and powerful data analysis, and for establishing databases to perform : (1) multimetric sensing, (2) long-term operation, and (3) LTE-based direct communication. The developed sensor had three axes of acceleration, and five axes of strain sensing channels for multimetric sensing, and had an event-driven power management system that activated the sensors only when vibration exceeded a predetermined limit, or the timer was triggered. The power management system could reduce power consumption, and an additional solar panel charging could enable long-term operation. Data from the sensors were transmitted to the server in real-time via low-power LTE-CAT M1 communication, which does not require an additional gateway device. Furthermore, the cloud server was developed to receive multi-variable data from the sensor, and perform a displacement fusion algorithm to obtain reference-free structural displacement for ambient structural assessment. The proposed digital SOC system was experimentally validated on a steel railroad and concrete girder bridge.

Structural Integrity Evaluation of Nozzle Assembly using Acoustic Emission Technique (음향방출법을 응용한 노즐 조립체의 구조건전성 평가)

  • 설창원;이기범
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.34 no.10
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    • pp.32-39
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    • 2006
  • An acoustic emission technique was applied to the structural strength test for the structural integrity evaluation of the nozzle assembly. These AE results were compared with data from the strain gages and displacement transducer. NDT using X-ray technique was performed to improve the test reliability before and after each test. In this structural integrity evaluation of the nozzle assembly, the internal crack initiation in the structure could not be precisely revealed by the strain and displacement results but the location and load level of the initiated crack could be precisely evaluated by using AE technique. From this test, it was proven that some new cracks can be generated in composite liner of nozzle assembly under the unexpected load due to interference between obturator and nozzle and these can be a cause of the unexpected abnormal failure.

EFFECT OF INTUBATION ON THE PRIMARY DENTITION PRIOR TO TOOTH ERUPTION: A CASE REPORT (치아 맹출전 시행한 기관 삽관이 유치열기에 미치는 영향에 대한 증례보고)

  • Shin, Yun-Kyung;Kim, Yeong-Jae;Kim, Jung-Wook;Jang, Ki-Taek;Lee, Sang-Hoon;Kim, Chong-Chul;Han, Se-Hyeon;Hyun, Hong-Keun
    • Journal of the korean academy of Pediatric Dentistry
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    • v.35 no.3
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    • pp.504-508
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    • 2008
  • Delayed eruption and abnormal morphology of the primary incisors following intubation may be due to follicular displacement and localized trauma caused by the process of intubation. Result of such damage included palatal groove formation, defective incisors and acquired clefts. This clinical report presents effect of intubation on the primary dentition of premature low-birth-weight children prior to tooth eruption.

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Deep Learning-based Vehicle Anomaly Detection using Road CCTV Data (도로 CCTV 데이터를 활용한 딥러닝 기반 차량 이상 감지)

  • Shin, Dong-Hoon;Baek, Ji-Won;Park, Roy C.;Chung, Kyungyong
    • Journal of the Korea Convergence Society
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    • v.12 no.2
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    • pp.1-6
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    • 2021
  • In the modern society, traffic problems are occurring as vehicle ownership increases. In particular, the incidence of highway traffic accidents is low, but the fatality rate is high. Therefore, a technology for detecting an abnormality in a vehicle is being studied. Among them, there is a vehicle anomaly detection technology using deep learning. This detects vehicle abnormalities such as a stopped vehicle due to an accident or engine failure. However, if an abnormality occurs on the road, it is possible to quickly respond to the driver's location. In this study, we propose a deep learning-based vehicle anomaly detection using road CCTV data. The proposed method preprocesses the road CCTV data. The pre-processing uses the background extraction algorithm MOG2 to separate the background and the foreground. The foreground refers to a vehicle with displacement, and a vehicle with an abnormality on the road is judged as a background because there is no displacement. The image that the background is extracted detects an object using YOLOv4. It is determined that the vehicle is abnormal.

Structural Stability Evaluation of Eco-Friendly Prefabricated Rainwater Infiltration Type Detention Facility with Red Clay Water-Permeable Block Body (황토투수블록체를 적용한 친환경 조립식 빗물 침투형 저류시설의 구조 안정성 평가)

  • Choi, Hyeonggil;Lee, Taegyu;Kim, Hojin;Choi, Heeyong
    • Journal of the Korea Institute of Building Construction
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    • v.22 no.1
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    • pp.1-10
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    • 2022
  • Recently, due to the frequent occurrence of localized torrential rains and heat waves caused by abnormal climates. For this reason, it is necessary to develop an economical and eco-friendly rainwater detention facility that can secure the groundwater level through rainwater detention as well as flood prevention against concentrated rainfall by simultaneously implementing rainwater permeation and storage. In this study, the structural safety of an eco-friendly rainwater infiltration type detention facility made using eco-friendly inorganic binders including red clay was examined. Static analysis considering the constant load and additional vertical load and dynamic analysis considering the seismic spectrum were performed. As a result, it was found that the eco-friendly prefabricated rainwater infiltration type detention facility developed in this study has a maximum stress of about 68.1% to 75.4% and a maximum displacement of about 0.9% to 9.6% under the same load and seismic conditions compared to the existing PE block rainwater detention facility. It was confirmed that the eco-friendly prefabricated rainwater infiltration type detention facility secured excellent structural stability.

Discrimination of Spinal Deformity Employing Discriminant Analysis on the $Moir\acute{e}$ Images

  • Kim, Hyoung-Seop;Ishikawa, Seiji;Otsuka, Yoshinori;Shimizu, Hisashi;Nakada, Yasuhiro;Shinomiya, Takashi
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1990-1993
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    • 2003
  • In this paper, we propose a technique for automatic spinal deformity detection from $moir\acute{e}$ topographic images. Normally the $moir\acute{e}$ stripes show symmetry as a human body is almost symmetric. According to the progress of the deformity of a spine, asymmetry becomes larger. Numerical representation of the degree of asymmetry is therefore useful in evaluating the deformity. First, displacement of local centroids and difference of gray values are evaluated statistically between the left- and the right-hand side regions of the $moir\acute{e}$ images with respect to the extracted middle line. We classify the moire images into two categories i.e., normal and abnormal cases from the features, employing discriminant analysis. An experiment was performed employing 1,200 $moir\acute{e}$ images and 85% of the images were classified correctly.

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