• Title/Summary/Keyword: SAI

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Strengthening RC frames subjected to lateral load with Ultra High-Performance fiber reinforced concrete using damage plasticity model

  • Kota, Sai Kubair;Rama, J.S. Kalyana;Murthy, A. Ramachandra
    • Earthquakes and Structures
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    • v.17 no.2
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    • pp.221-232
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    • 2019
  • Material non-linearity of Reinforced Concrete (RC) framed structures is studied by modelling concrete using the Concrete Damage Plasticity (CDP) theory. The stress-strain data of concrete in compression is modelled using the Hsu model. The structures are analyzed using a finite element approach by modelling them in ABAQUS / CAE. Single bay single storey RC frames, designed according to Indian Standard (IS):456:2000 and IS:13920:2016 are considered for assessing their maximum load carrying capacity and failure behavior under the influence of gravity loads and lateral loads. It is found that the CDP model is effective in predicting the failure behaviors of RC frame structures. Under the influence of the lateral load, the structure designed according to IS:13920 had a higher load carrying capacity when compared with the structure designed according to IS:456. Ultra High Performance Fiber Reinforced Concrete (UHPFRC) strip is used for strengthening the columns and beam column joints of the RC frame individually against lateral loads. 10mm and 20mm thick strips are adopted for the numerical simulation of RC column and beam-column joint. Results obtained from the study indicated that UHPFRC with two different thickness strips acts as a very good strengthening material in increasing the load carrying capacity of columns and beam-column joint by more than 5%. UHPFRC also improved the performance of the RC frames against lateral loads with an increase of more than 3.5% with the two different strips adopted. 20 mm thick strip is found to be an ideal size to enhance the load carrying capacity of the columns and beam-column joints. Among the strengthening locations adopted in the study, column strengthening is found to be more efficient when compared with the beam column joint strengthening.

The Impact of the US-China disputes on China's 5G Industry focus on Huawei case (미·중 무역분쟁이 중국의 5G 산업에 미치는 영향 화웨이 사례 중심으로)

  • Hwang, Ki-Sik;Zhang, Sai
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.3
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    • pp.420-427
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    • 2020
  • The U.S-China disputes have attracted worldwide attention since it took place. However, the disputes between China and the US are no longer limited to the competition in traditional industries, and the competition in 5G industries is becoming more intense. This paper analyzes the reasons for US sanctions on Huawei and puts forward some Suggestions for its countermeasures. With the continuous trade exchanges between China and the United States and the acceleration of China's rise, the related industries in the United States will inevitably be impacted by the related industries in China. Despite U.S. sanctions, the fast speed and effective cost of 5G in China is further improving China's competitiveness. However, under the economic sanctions of the United States, how to survive and further develop China's 5G industry needs in-depth research.

Evolution of the synthetic aperture imaging method in medical ultrasound system (초음파진단기 합성구경영상법의 진화)

  • Bae, MooHo
    • The Journal of the Acoustical Society of Korea
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    • v.41 no.5
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    • pp.534-544
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    • 2022
  • Medical ultrasound system has been widely used to visualize the lesion for diagnostics in most medical service site including hospitals and clinics thanks to its advantages such as real time operation, ease of use, safety. Among many signal processing blocks of the system, one of the most important part that governs the image quality is the beamformer, and technologies for this part has been continuously developed in long time. The synthetic aperture imaging method, that is one of the major technologies of beamforming, was introduced to maximize utilizing the information delivered from the patient's body through the probe, and contributed to breakthrough of the image quality since it was introduced in around 1990's, and evolved continuously in decades. This paper reviews and surveys the process of development of this technology and expects future evolution.

Development of a distributed high-speed data acquisition and monitoring system based on a special data packet format for HUST RF negative ion source

  • Li, Dong;Yin, Ling;Wang, Sai;Zuo, Chen;Chen, Dezhi
    • Nuclear Engineering and Technology
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    • v.54 no.10
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    • pp.3587-3594
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    • 2022
  • A distributed high-speed data acquisition and monitoring system for the RF negative ion source at Huazhong University of Science and Technology (HUST) is developed, which consists of data acquisition, data forwarding and data processing. Firstly, the data acquisition modules sample physical signals at high speed and upload the sampling data with corresponding absolute-time labels over UDP, which builds the time correlation among different signals. And a special data packet format is proposed for the data upload, which is convenient for packing or parsing a fixed-length packet, especially when the span of the time labels in a packet crosses an absolute second. The data forwarding modules then receive the UDP messages and distribute their data packets to the real-time display module and the data storage modules by PUB/SUB-pattern message queue of ZeroMQ. As for the data storage, a scheme combining the file server and MySQL database is adopted to increase the storage rate and facilitate the data query. The test results show that the loss rate of the data packets is within the range of 0-5% and the storage rate is higher than 20 Mbps, both acceptable for the HUST RF negative ion source.

A semi-supervised interpretable machine learning framework for sensor fault detection

  • Martakis, Panagiotis;Movsessian, Artur;Reuland, Yves;Pai, Sai G.S.;Quqa, Said;Cava, David Garcia;Tcherniak, Dmitri;Chatzi, Eleni
    • Smart Structures and Systems
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    • v.29 no.1
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    • pp.251-266
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    • 2022
  • Structural Health Monitoring (SHM) of critical infrastructure comprises a major pillar of maintenance management, shielding public safety and economic sustainability. Although SHM is usually associated with data-driven metrics and thresholds, expert judgement is essential, especially in cases where erroneous predictions can bear casualties or substantial economic loss. Considering that visual inspections are time consuming and potentially subjective, artificial-intelligence tools may be leveraged in order to minimize the inspection effort and provide objective outcomes. In this context, timely detection of sensor malfunctioning is crucial in preventing inaccurate assessment and false alarms. The present work introduces a sensor-fault detection and interpretation framework, based on the well-established support-vector machine scheme for anomaly detection, combined with a coalitional game-theory approach. The proposed framework is implemented in two datasets, provided along the 1st International Project Competition for Structural Health Monitoring (IPC-SHM 2020), comprising acceleration and cable-load measurements from two real cable-stayed bridges. The results demonstrate good predictive performance and highlight the potential for seamless adaption of the algorithm to intrinsically different data domains. For the first time, the term "decision trajectories", originating from the field of cognitive sciences, is introduced and applied in the context of SHM. This provides an intuitive and comprehensive illustration of the impact of individual features, along with an elaboration on feature dependencies that drive individual model predictions. Overall, the proposed framework provides an easy-to-train, application-agnostic and interpretable anomaly detector, which can be integrated into the preprocessing part of various SHM and condition-monitoring applications, offering a first screening of the sensor health prior to further analysis.

Field measurement study on snow accumulation process around a cube during snowdrift

  • Wenyong Ma;Sai Li;Xuanyi Zhou;Yuanchun Sun;Zihan Cui;Ziqi Tang
    • Wind and Structures
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    • v.37 no.1
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    • pp.25-38
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    • 2023
  • Due to the complexity and difficulty in meeting the multiphase flow complexity, similarity, and multiscale characteristics, the mechanism of snow drift is so complicated that the snow deposition prediction is still inaccurate and needs to be far improved. Meanwhile, the validation of prediction methods is also limited due to a lack of field-measured data about snow deposition. To this end, a field measurement activity about snow deposition around a cube with time was carried out, and the snow accumulation process was measured under blowing snow conditions in northwest China. The maximum snow depth, snow profile, and variation in snow depth around the cube were discussed and analyzed. The measured results indicated three stages of snow accumulation around the cube. First, snow is deposited in windward, lateral and leeward regions, and then the snow depth in windward and lateral regions increases. Secondly, when the snow in the windward region reaches its maximum, the downwash flow erodes the snow against the front wall. Meanwhile, snow range and depth in lateral regions have a significant increase. Thirdly, a narrow road in the leeward region is formed with the increase in snow range and depth, which results in higher wind speed and reforming snow deposition there. The field measurement study in this paper not only furthers understanding of the snow accumulation process instead of final deposition under complex conditions but also provides an important benchmark for validating prediction methods.

Pipeline deformation caused by double curved shield tunnel in soil-rock composite stratum

  • Ning Jiao;Xing Wan;Jianwen Ding;Sai Zhang;Jinyu Liu
    • Geomechanics and Engineering
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    • v.36 no.2
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    • pp.131-143
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    • 2024
  • Shield tunneling construction commonly crosses underground pipelines in urban areas, resulting in soil loss and followed deformation of grounds and pipelines nearby, which may threaten the safe operation of shield tunneling. This paper investigated the pipeline deformation caused by double curved shield tunnels in soil-rock composite stratum in Nanjing, China. The stratum settlement equation was modified to consider the double shield tunneling. Moreover, a three dimensional finite element model was established to explore the effects of hard-layer ratio, tunnel curvature radius, pipeline buried depth and other influencing factors. The results indicate the subsequent shield tunnel would cause secondary disturbance to the soil around the preceding tunnel, resulting in increased pipeline and ground surface settlement above the preceding tunnel. The settlement and stress of the pipeline increased gradually as buried depth of the pipeline increased or the hard-layer ratio (the ratio of hard-rock layer thickness to shield tunnel diameter within the range of the tunnel face) decreased. The modified settlement calculation equation was consistent with the measured data, which can be applied to the settlement calculation of ground surface and pipeline settlement. The modified coefficients a and b ranged from 0.45 to 0.95 and 0.90 to 1.25, respectively. Moreover, the hard-layer ratio had the most significant influence on the pipeline settlement, but the tunnel curvature radius and the included angle between pipeline and tunnel axis played a dominant role in the scope of the pipeline settlement deformation.

Depression and Anxiety in Outpatients with Chronic Obstructive Pulmonary Disease (만성폐쇄성폐질환 환자에서 우울과 불안심리 평가)

  • Ryu, Yon Ju;Chun, Eun Mi;Sim, Yun Su;Lee, Jin Hwa
    • Tuberculosis and Respiratory Diseases
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    • v.62 no.1
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    • pp.11-18
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    • 2007
  • Background: Patients with chronic obstructive pulmonary disease (COPD) have often been reported to suffer from depression and anxiety possibly due to the exacerbation, hospitalization and mortality of COPD. However,scarce data are available in Korea. This study assessed degree of depression and anxiety, and evaluated the factors associated with depressive symptoms in COPD. Methods: The cross-sectional data on the lung function measurements, smoking behavior, body mass index (BMI), age, gender, depressive symptoms using Beck Depression Inventory (BDI) and anxiety using the State-Trait Anxiety Inventory (STAI) were evaluated in 72 outpatients with COPD and 50 controls without underling lung diseases from September, 2005 to October, 2006 in the Ewha medical center. Results: 1) The age, body mass index (BMI) and serum albumin levels were similar in the patients and controls. The BDI scores (16(0-37) vs. 12(1-30), p=0.001) and the prevalence of depression (36% vs. 6%, p<0.0001) were higher in the COPD patients than in the controls. In the COPD group, the prevalence of depression increased with increasing GOLD stage (p=0.008). The prevalence was 18%(4/22), in mild cases, 30%(6/20) in moderate cases, 52%(13/25) in severe cases and 60%(3/5) in very severe cases. 2) The SAI and TAI scores were higher in the COPD patients (44(20-67) and 47(20-66)) than in the healthy controls (39(26-65) and 44(33-90)). There were a significant correlation between the depression and anxiety scores (p<0.001). 3) A lower BMI, lower postbronchodilator $FEV_1$, current smoking behavior and severity of COPD were univariately associated with the depressive group in COPD, 4) while multivariate logistic analysis revealed only the severe-to-very severe group (OR 3.9, 95% CI 1.2 to 12.9) to be independently associated with depressive symptoms. Conclusion: COPD is strongly associated with depression and anxiety. Therfore, screening for psychological problems in COPD patients is essential, particularly in patients with severe-to-very severe COPD.

Studies on Productivity in Meadow Fescue ( Festuce pratensis Huds. ) V. Vertical distribution of leaf area and dry matter production (Meadow fescue의 건물생산량에 관한 연구 V. 엽면적의 수직적 분포와 건물생산)

  • 이주삼;정충섭
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.4 no.3
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    • pp.187-193
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    • 1984
  • Using the stratifying clip method, we examine the differences in vertical distribution of leaf area and its relationships with dry matter production were investigated in the primary swards of six varieties. The results obtained were as follows: 1. The varieties could be classified into 4 different types according to their of vertical distribution of leaf area within the canopy. Thus, M had a greater leaf area distribution in the base layers and became smaller towards the upper layers, Leto, First and Bundy had the leaf area distribution which was most abundant in the middle layers and became smaller towards the base and the upper layers, Tammisto had a greater leaf area distribution in the middle layers and intensively distributed to the upper layers, and Trader had the relatively uniform leaf area distribution over all layers. 2. Effective leaf area index(ELAI) correlated with leaf area index(LAI), dry weight of plant(DW), stem weight of plant(SW) and stem area index(SAI). 3. The variety with the heading tiller type had the effective leaf area intensively distributed to the upper layers of canopy, but the vegetative type showed a high ratio of effective leaf area index. 4. Varietal differenced was found between the effective leaf area and specific leaf weight(SLW) in each stratum above the layer indicating the highest leaf area density within the canopy. M and Trader had a highly negative significant correlation, but the other varieties was not significant correlation.

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Effect of Cryopreservation Medium and Freezing Method on Post-thaw Motility of Human Sperm : Comparison of Different Type of CASA (동결보존액의 종류와 동결방법에 따른 해동후 인간정자 운동성의 비교분석)

  • 전윤정
    • Development and Reproduction
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    • v.2 no.1
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    • pp.63-68
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    • 1998
  • This study was done to find optimal cryopreservation medium and method to improve the post-thaw motility of human sperm. Thirty three semaen samples were included in the study. Of these, nineteen Samples showing normal semen profile were frozen using three cryprotectants (TYB, TYB+DTT and KS II)to compare post-thaw motility. Fourteen samples were frozen with vapor freezing and programmable freezing methods to compare post-thaw motility in correlation with freezing method. After 24 hrs of cryostorage , the vials were thawed and the post-thaw sperm motility was assessed by two kinds of computer-aededsperm analysis (CASA; SAIS and Hamilton Thorn). As a result, the post-thaw motility of the KS II group was higher than the TYB or TYB+DTT group in normal semen(34.8%, 28.3% and 23.0%, respectively). In the asthenospermia group, a significantly hither post-thaw motility was observed in the KS II (18.5%) compared to those of TYB or TYB+DTT group (13.6%, 10.0%, respectively). No difference was observed between vapor freezing group and computerized freezing group in normal semen (27.8%, 33.2%, respectively) and semen group showing asthenospermia (12.8%, 12.9%, respectively). In conclusion, our results indicate that KS II medium is reliable for cryopreservation of human sperm and vapor freezing and programmable freezing were equally effective in terms of the recovery of motile spermatozoa.

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