• Title/Summary/Keyword: Abnormal Structure

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Cyclic loading test of abnormal joints in SRC frame-bent main building structure

  • Wang, Bo;Cao, Guorong;Yang, Ke;Dai, Huijuan;Qin, Chaogang
    • Earthquakes and Structures
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    • v.20 no.4
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    • pp.417-430
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    • 2021
  • Due to functional requirements, SRC column-RC beam abnormal joints with characteristics of strong beam weak column, variable column section, unequal beam height and staggered height exist in the Steel reinforced concrete (SRC) frame-bent main building structure of thermal power plant (TPP). This paper presents the experimental results of these abnormal joints through cyclic loading tests on five specimens with scaling factor of 1/5. The staggered height and whether adding H-shaped steel in beam or not were changing parameters of specimens. The failure patterns, bearing capacity, energy dissipation and ductile performance were analyzed. In addition, the stress mechanism of the abnormal joint was discussed based on the diagonal strut model. The research results showed that the abnormal exterior joints occurred shear failure and column end hinge flexural failure; reducing beam height through adding H-shaped steel in the beam of abnormal exterior joint could improve the crack resistance and ductility; the abnormal interior joints with different staggered heights occurred column ends flexural failure; the joint with larger staggered height had the higher bearing capacity and stiffness, but lower ductility. The concrete compression strut mechanism is still applicable to the abnormal joints in TPP, but it is affected by the abnormal characteristics.

Development of Abnormal Behavior Monitoring of Structure using HHT (HHT를 이용한 이상거동 시점 추정 기법 개발)

  • Kim, Tae-Heon;Park, Ki-Tae
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.19 no.2
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    • pp.92-98
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    • 2015
  • Recently, buildings tend to be large size, complex shape and functional. As the size of buildings is becoming massive, the need for structural health monitoring (SHM) technique is increasing. Various SHM techniques have been studied for buildings which have different dynamic characteristics and influenced by various external loads. "Abnormal behavior point" is a moment when the structure starts vibrating abnormally and this can be detected by comparing between before and after abnormal behavior point. In other words, anomalous behavior is a sign of damage on structures and estimating the abnormal behavior point can be directly related to the safety of structure. Abnormal behavior causes damage on structures and this leads to enormous economic damage as well as damage for humans. This study proposes an estimating technique to find abnormal behavior point using Hilber-Huang Transform which is a time-frequency signal analysis technique and the proposed algorithm has been examined through laboratory tests with a bridge model using a shaking table.

Experimental Identification of Abnormal Noise Source of a High Speed Polygon Mirror Scanner Motor Considering the Mechanical Contact (고속 폴리곤 미러 스캐너 모터의 기계적 접촉에 의한 이상 소음원의 실험적 규명)

  • Kim, Myung-Gyu;Lee, Chang-Jin;Jang, Gun-Hee;Lim, Don-Go
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2008.04a
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    • pp.863-868
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    • 2008
  • This paper investigates the abnormal noise of polygon mirror scanner motor due to the mechanical contact. In the high speed polygon mirror scanner motor the vibration of polygon mirror scanner motor is one of the main sources of abnormal noise, because structure-borne noise due to the vibration is bigger than aerodynamic noise, especially when the rotating part contacts the stationary parts. This research determines the main harmonics of structure-borne noise by using sound quality evaluation. It also develops an experimental set-up to measure the mechanical contact and vibration of polygon mirror scanner motor simultaneously. This paper also show that mechanical contact between rotating shaft and stationary sleeve is one of the dominant vibration sources of structure-borne noise which cause the abnormal noise of the high speed polygon mirror scanner motor by using the developed experimental set-up.

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Study of Ni-germano Silicide Thermal Stability for Nano-scale CMOS Technology (Nano-scale CMOS를 위한 Ni-germano Silicide의 열 안정성 연구)

  • Huang, Bin-Feng;Oh, Soon-Young;Yun, Jang-Gn;Kim, Yong-Jin;Ji, Hee-Hwan;Kim, Yong-Goo;Wang, Jin-Suk;Lee, Hi-Deok
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.17 no.11
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    • pp.1149-1155
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    • 2004
  • In this paper, novel methods for improvement of thermal stability of Ni-germano Silicide were proposed for nano CMOS applications. It was shown that there happened agglomeration and abnormal oxidation in case of Ni-germano Silicide using Ni only structure. Therefore, 4 kinds of tri-layer structure, such as, Ti/Ni/TiN, Ni/Ti/TiN, Co/Ni/TiN and Ni/Co/TiN were proposed utilizing Co and Ti interlayer to improve thermal stability of Ni-germano Silicide. Ti/Ni/TiN structure showed the best improvement of thermal stability and suppression of abnormal oxidation although all kinds of structures showed improvement of sheet resistance. That is, Ti/Ni/TiN structure showed only 11 ohm/sq. in spite of 600 $^{\circ}C$, 30 min post silicidation annealing while Ni-only structure show 42 ohm/sq. Therefore, Ti/Ni/TiN structure is highly promising for nano-scale CMOS technology.

Abnormal Situation Detection on Surveillance Video Using Object Detection and Action Recognition (객체 탐지와 행동인식을 이용한 영상내의 비정상적인 상황 탐지 네트워크)

  • Kim, Jeong-Hun;Choi, Jong-Hyeok;Park, Young-Ho;Nasridinov, Aziz
    • Journal of Korea Multimedia Society
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    • v.24 no.2
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    • pp.186-198
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    • 2021
  • Security control using surveillance cameras is established when people observe all surveillance videos directly. However, this task is labor-intensive and it is difficult to detect all abnormal situations. In this paper, we propose a deep neural network model, called AT-Net, that automatically detects abnormal situations in the surveillance video, and introduces an automatic video surveillance system developed based on this network model. In particular, AT-Net alleviates the ambiguity of existing abnormal situation detection methods by mapping features representing relationships between people and objects in surveillance video to the new tensor structure based on sparse coding. Through experiments on actual surveillance videos, AT-Net achieved an F1-score of about 89%, and improved abnormal situation detection performance by more than 25% compared to existing methods.

Sperm DNA fragmentation and sex chromosome aneuploidy after swim-up versus density gradient centrifugation

  • Kim, Sung Woo;Jee, Byung Chul;Kim, Seul Ki;Kim, Seok Hyun
    • Clinical and Experimental Reproductive Medicine
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    • v.44 no.4
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    • pp.201-206
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    • 2017
  • Objective: The aim of this study was to compare the efficacy of swim-up and density gradient centrifugation (DGC) for reducing the amount of sperm with fragmented DNA, sex chromosome aneuploidy, and abnormal chromatin structure. Methods: Semen samples were obtained from 18 healthy male partners who attended infertility clinics for infertility investigations and were processed with swim-up and DGC. The percentages of sperm cells with fragmented DNA measured by the sperm chromatin dispersion test, normal sex chromosomes assessed by fluorescence in situ hybridization, and abnormal chromatin structure identified by toluidine blue staining were examined. Results: The percentage of sperm cells with fragmented DNA was significantly lower in the swim-up fraction (9.7%, p= 0.001) than in the unprocessed fraction (27.0%), but not in the DGC fraction (27.8%, p= 0.098). The percentage of sperm cells with normal X or Y chromosomes was comparable in the three fractions. The percentage of sperm cells with abnormal chromatin structure significantly decreased after DGC (from 15.7% to 10.3%, p= 0.002). The swim-up method also tended to reduce the percentage of sperm cells with abnormal chromatin structure, but the difference was not significant (from 15.7% to 11.6%, p= 0.316). Conclusion: The swim-up method is superior for enriching genetically competent sperm.

Case Study on the Explosive Demolition of Steel Truss Bridge using Charge Container for Cutting Structural Steel (강재 절단용 장약용기를 이용한 철골 교량 발파해체 시공사례)

  • Park, Hoon;Suk, Chul-Gi;Noh, You-Song
    • Explosives and Blasting
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    • v.36 no.1
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    • pp.20-33
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    • 2018
  • A locally damaged structure is a structure that cannot be reused due to having parts that have lost their structural function as a result of abnormal load across the interior or exterior of the structure. The causes of the abnormal load occurrences can be classified into natural disaster and artificial disaster. Locally damaged structures caused by this abnormal load have risk factors that may lead to the possibility of additional secondary collapses, so such structures require immediate and complete dismantling. The case presented in this study involves the application of explosive demolition to a steel truss structured bridge in the Philippines that was damaged due to construction failures and the hurricane. Although shaped charges were needed in explosive demolitions, difficulties in locally obtaining such material. So, we made a charge container to charging of emulsion explosive during the explosive demolition. The explosive demolition resulted in the vertical free fall of the mid-section of the bridge and the free fall rotating of the both end section of the bridge. The neighboring posts and bridge piers did not show signs of damages, while post-demolition fragmentation of removed parts was found to be satisfactory.

The utility of sperm DNA damage assay using toluidine blue and aniline blue staining in routine semen analysis

  • Kim, Hee-Sun;Kang, Moon Joo;Kim, Sung Ah;Oh, Sun Kyung;Kim, Hoon;Ku, Seung-Yup;Kim, Seok Hyun;Moon, Shin Yong;Choi, Young Min
    • Clinical and Experimental Reproductive Medicine
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    • v.40 no.1
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    • pp.23-28
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    • 2013
  • Objective: The aim of the present study was to examine the relationship among male age, strict morphology, and sperm chromatin structure and condensation. Methods: Sperm samples from a total of 100 men underwent semen analysis, and sperm chromatin structure and condensation were assessed with toluidine blue (TB) and aniline blue (AB) tests. Results: Prevalence of strict morphology of less than 4%, and abnormal sperm chromatin structure and condensation did not show any statistically significant differences according to male age (p=0.605, p=0.235, and p=0.080). No significant correlation was demonstrated among age of male partners, strict morphology, and abnormal sperm chromatin structure using TB and AB tests. However, abnormal sperm chromatin condensation was positively associated with sperm chromatin structure (r=0.594, p=0.000) and showed negative correlation with strict morphology (r=-0.219, p=0.029). Conclusion: The tests for sperm chromatin condensation showed a significant association with strict morphology. Further study is needed to elucidate the relationship between clinical outcome and sperm chromatin tests.

Abnormal signal detection based on parallel autoencoders (병렬 오토인코더 기반의 비정상 신호 탐지)

  • Lee, Kibae;Lee, Chong Hyun
    • The Journal of the Acoustical Society of Korea
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    • v.40 no.4
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    • pp.337-346
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    • 2021
  • Detection of abnormal signal generally can be done by using features of normal signals as main information because of data imbalance. This paper propose an efficient method for abnormal signal detection using parallel AutoEncoder (AE) which can use features of abnormal signals as well. The proposed Parallel AE (PAE) is composed of a normal and an abnormal reconstructors having identical AE structure and train features of normal and abnormal signals, respectively. The PAE can effectively solve the imbalanced data problem by sequentially training normal and abnormal data. For further detection performance improvement, additional binary classifier can be added to the PAE. Through experiments using public acoustic data, we obtain that the proposed PAE shows Area Under Curve (AUC) improvement of minimum 22 % at the expenses of training time increased by 1.31 ~ 1.61 times to the single AE. Furthermore, the PAE shows 93 % AUC improvement in detecting abnormal underwater acoustic signal when pre-trained PAE is transferred to train open underwater acoustic data.

A Study on Improvement of the Abnormal Operation of a One-shot Rifle with Bolt-action Operating System (볼트액션 작동방식 단발형 소총의 비정상 작동에 관한 개선 연구)

  • Shin, Jae Won;Jung, Chan Man;Choi, Si Young;Lee, Ho Jun;Shin, Tae Sung;Seo, Hyun Su
    • Journal of Korean Society for Quality Management
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    • v.47 no.3
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    • pp.417-424
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    • 2019
  • Purpose: In this study, the goal is to analyze this case to prevent the same accidents when using one-shot rifle. Methods: Detailed analysis of damaged parts must first be made in order to determine the cause of the abnormal explosion. The cause of abnormal operation can be determined by analyzing the information of damaged components and the firing mechanism of the weapon step by step. Also we can refer to a statement of shooter, witness and accident scene situation. Based on this theory, cause of abnormal firing can be narrow down. Results: Fracture of pin for fixing firing and latch is cause of abnormal operation of firing. Conclusion: It is deemed that periodic inspection and fundamental improvement of the structure are required to prevent the same accident as this.