• Title/Summary/Keyword: CS model

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Machine learning model for predicting ultimate capacity of FRP-reinforced normal strength concrete structural elements

  • Selmi, Abdellatif;Ali, Raza
    • Structural Engineering and Mechanics
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    • v.85 no.3
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    • pp.315-335
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    • 2023
  • Limited studies are available on the mathematical estimates of the compressive strength (CS) of glass fiber-embedded polymer (glass-FRP) compressive elements. The present study has endeavored to estimate the CS of glass-FRP normal strength concrete (NSTC) compression elements (glass-FRP-NSTC) employing two various methodologies; mathematical modeling and artificial neural networks (ANNs). The dataset of 288 glass-FRP-NSTC compression elements was constructed from the various testing investigations available in the literature. Diverse equations for CS of glass-FRP-NSTC compression elements suggested in the previous research studies were evaluated employing the constructed dataset to examine their correctness. A new mathematical equation for the CS of glass-FRP-NSTC compression elements was put forwarded employing the procedures of curve-fitting and general regression in MATLAB. The newly suggested ANN equation was calibrated for various hidden layers and neurons to secure the optimized estimates. The suggested equations reported a good correlation among themselves and presented precise estimates compared with the estimates of the equations available in the literature with R2= 0.769, and R2 =0.9702 for the mathematical and ANN equations, respectively. The statistical comparison of diverse factors for the estimates of the projected equations also authenticated their high correctness for apprehending the CS of glass-FRP-NSTC compression elements. A broad parametric examination employing the projected ANN equation was also performed to examine the effect of diverse factors of the glass-FRP-NSTC compression elements.

Comparative Study on the Committed Dose Equivalent for Adults and Infants (예탁선양치(預託線量値)에서 본 성인(成人)과 유아(幼兒)와의 비교연구(比較硏究))

  • Sung, Kye-Yong;Yook, Chong-Chul;Ha, Chung-Woo
    • Journal of Radiation Protection and Research
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    • v.9 no.2
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    • pp.76-89
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    • 1984
  • Weighted committed dose equivalents($W_T\;H_{50}$) per intake of unit activity of four nuclides-I-131, I-133, Cs-134 and Cs-137-, which was based on the concepts of ICRP Pub. 30, are calculated for adult who is 70 kg and 25 years old and, for infant who is 10 kg and 1 year old. Metabolism of iodine taken through oral or inhalation pathway is described by using the three-compartment model which consists of inorganic, thyroid and organic compartment. After intake, the amount of iodine in every compartment is calculated by solving the transfer equations among the these compartments. As soon as caesium is taken into the body, it is distributed uniformly in the body through the transfer compartment. In this case, the amount of caesium in total body is calculated by using the total body compartment model which is divided into two tissue compartments because of their different biological half-lifes of caesium in body. As a result of calculations, whether oral or inhalation pathway, the values of ($W_T\;H_{50}$) per intake of unit activity of I-131 for infants are about ten times as much as those of adults. On the other hand, for Cs-134 and Cs-137, the values of $W_T\;H_{50}$ per intake of unit activity show that, whether adults of infants, they have almost the same values.

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Evaluation of the marginal and internal fit of a single crown fabricated based on a three-dimensional printed model

  • Jang, Yeon;Sim, Ji-Young;Park, Jong-Kyoung;Kim, Woong-Chul;Kim, Hae-Young;Kim, Ji-Hwan
    • The Journal of Advanced Prosthodontics
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    • v.10 no.5
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    • pp.367-373
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    • 2018
  • PURPOSE. To evaluate the fit of a crown produced based on a 3D printed model and to investigate its clinical applicability. MATERIALS AND METHODS. A master die was fabricated with epoxy. Stone dies were fabricated from conventional impressions (Conventional stone die group: CS, n=10). Digital virtual dies were fabricated by making digital impressions (Digital Virtual die group: VD, n=10). 3D data obtained from the digital impression was used to fabricate 3D printed models (DLP die group: DD, n=10, PolyJet die group: PD, n=10). A total of 40 crowns were fabricated with a milling machine, based on CS, VD, DD and PD. The inner surface of all crowns was superimposed with the master die files by the "Best-fit alignment" method using the analysis software. One-way and 2-way ANOVA were performed to identify significant differences among the groups and areas and their interactive effects (${\alpha}=.05$). Tukey's HSD was used for post-hoc analysis. RESULTS. One-way ANOVA results revealed a significantly higher RMS value in the 3D printed models (DD and PD) than in the CS and DV. The RMS values of PD were the largest among the four groups. Statistically significant differences among groups (P<.001) and between areas (P<.001) were further revealed by 2-way ANOVA. CONCLUSION. Although the fit of crowns fabricated based on the 3D printed models (DD and PD) was inferior to that of crowns prepared with CS and DV, the values of all four groups were within the clinically acceptable range (<$120{\mu}m$).

Evaluation of Sentimental Texts Automatically Generated by a Generative Adversarial Network (생성적 적대 네트워크로 자동 생성한 감성 텍스트의 성능 평가)

  • Park, Cheon-Young;Choi, Yong-Seok;Lee, Kong Joo
    • KIPS Transactions on Software and Data Engineering
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    • v.8 no.6
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    • pp.257-264
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    • 2019
  • Recently, deep neural network based approaches have shown a good performance for various fields of natural language processing. A huge amount of training data is essential for building a deep neural network model. However, collecting a large size of training data is a costly and time-consuming job. A data augmentation is one of the solutions to this problem. The data augmentation of text data is more difficult than that of image data because texts consist of tokens with discrete values. Generative adversarial networks (GANs) are widely used for image generation. In this work, we generate sentimental texts by using one of the GANs, CS-GAN model that has a discriminator as well as a classifier. We evaluate the usefulness of generated sentimental texts according to various measurements. CS-GAN model not only can generate texts with more diversity but also can improve the performance of its classifier.

Source Intensity Analysis of DUPIC Fuel (DUPIC 핵연료의 조사선량률 분석)

  • Kim, Yun-Goo;Lim, Jae-Yong;Park, Bhum-Lak;Park, Kwang-Heon;Whang, Ju-Ho
    • Journal of Radiation Protection and Research
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    • v.21 no.2
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    • pp.117-124
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    • 1996
  • Source intensities in terms of the exposure rates at 1m from the fresh and spent DUPIC fuels, made from standard and extended turnup PWR fuels, were analyzed. Two cases were studied based on the degree of elimination of removable elements. Homogeneous mixture model was applied to get the exposure rate. The exposure rate turned out to be very high and sensitive to Cs elimination during the dry process. About 90% of exposure can be reduced in the case of fresh DUPIC fuel made from 10-year cooled spent PWR fuels if Cs is fully removed during the dry process. The main radiation source in spent fuels is Cs-137. The dry storage of spent DUPIC fuel may need a longer wet storage period and require a further review.

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Impact response of a novel flat steel-concrete-corrugated steel panel

  • Lu, Jingyi;Wang, Yonghui;Zhai, Ximei;Zhou, Hongyuan
    • Steel and Composite Structures
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    • v.42 no.2
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    • pp.277-288
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    • 2022
  • A novel flat steel plate-concrete-corrugated steel plate (FS-C-CS) sandwich panel was proposed for resisting impact load. The failure mode, impact force and displacement response of the FS-C-CS panel under impact loading were studied via drop-weight impact tests. The combined global flexure and local indentation deformation mode of the FS-C-CS panel was observed, and three stages of impact process were identified. Moreover, the effects of corrugated plate height and steel plate thickness on the impact responses of the FS-C-CS panels were quantitatively analysed, and the impact resistant performance of the FS-C-CS panel was found to be generally improved on increasing corrugated plate height and thickness in terms of smaller deformation as well as larger impact force and post-peak mean force. The Finite Element (FE) model of the FS-C-CS panel under impact loading was established to predict its dynamic response and further reveal its failure mode and impact energy dissipation mechanism. The numerical results indicated that the concrete core and corrugated steel plate dissipated the majority of impact energy. In addition, employing end plates and high strength bolts as shear connectors could prevent the slip between steel plates and concrete core and assure the full composite action of the FS-C-CS panel.

Use of water retention curves predicted from particle-size distribution data for simulation of transport of Benzo[a]pyrene in soil

  • Cho Young-A;Hwang Sang-Il;Jang Yong-Chul;Lee Dong-Soo
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2006.04a
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    • pp.216-219
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    • 2006
  • Water retention curve (WRC), one of soil hydraulic properties, is often approximated by property-transfer models (PTMs). Using the PTMs, we can estimate the WRCs from other physical properties such as particle-size distribution (PSD). The objective of this work was to investigate the performance of two PTMs with different origins for numerical simulations on transport of Benzo[a]pyrene in a soil. To do this, we chose both PTMs with different origins, i.e., (1) the lognormal distribution model (L anti NL models), and (2) the modified $Kov\'{a}cs$ model (MK model). The MK model showed tile worse performance in estimation of the WRCs. When transport of B[a]P was simulated, the MK model predicted to move farther than the L and NL models did, indicating that transport of B[a]P in a soil can be greatly influenced by the choice of PTMs.

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Placement of Colloidal Silica gel for the construction of a subsurface containment system

  • Kim, Meejeong;Park, Joo-Yang
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2001.04a
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    • pp.66-69
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    • 2001
  • A subsurface containment system which is constructed by pumping a gelling liquid (Colloidal Silica) into the unsaturated medium is investigated by developing a mathematical model and conducting numerical simulations. The proposed model is verified by comparing experimentally and numerically determined hydraulic conductivities of gel-treated soil columns at different Colloidal Silica (CS) injection volumes. The numerical experiments indicate that an impermeable gel layer is formed within the time period twice the gel-point. At the Same normalized time, the CS solutions with lower NaCl concentrations result ill further migration and poor Performance in plugging the pore space.

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DEVS/CS Combined Model Approach for the Cardiovascular System (심혈관 시스템의 DEVS/CS 혼합 모델링)

  • Cho, Yong-Jae;Jeon, Gye-Rok;Lee, Kwon-Soon;Chang, Yong-Hoon;Lee, Sang-Yeol
    • Proceedings of the KOSOMBE Conference
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    • v.1995 no.05
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    • pp.87-91
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    • 1995
  • Combined models, specified by two or more modeling formalisms, can represent a wide variety of complex systems. This paper describes a methodology for the development of combined models in two model types of discrete events and continuous process. The methodology is based on transformation of continuous state space into discrete one to homomorphically represent dynamics of continuous processes in discrete events. As an example, a combined model of human heart is developed which Incorporates conventional differential equation formalism with Zeigler's DEVS(Discrete Event Specification System) [4]formalism.

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Effects of APF and CsA on the number of regulatory T cells, NK T cells and gammadelta T cells in OVA-induced murine model of asthma (OVA로 유도된 천식 모델 생쥐에서 목천료자(木天蓼子)가 조절 T 세포, NK T 세포 및 gammadelta T 세포수 변화에 미치는 영향)

  • Kim, Seung-Hyung;Roh, Seong-Soo;Lee, Jang-Cheon;Seo, Young-Bae;Lee, Young-Cheol
    • The Korea Journal of Herbology
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    • v.21 no.1
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    • pp.51-56
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    • 2006
  • Objectives : To clarify the effects of Actinidia polygama and CsA on OVA-induced asthma model, we examined the influence of Actinidia polygama fructus extract (APF) and CsA on the number of regulatory T cells, NKT cells and ${\gamma}{\delta}$ T cells in murine model of asthma. Methods : All mice were immunized on two different days (21 days and 7 days before inhalational exposure) by i.p. injections of OVA in PBS. Seven days after the second sensitization, mice were exposed to aerosolized ovalbumin for 30 min/day on 3 days/week for 12 weeks and APF (400, 40 mg/kg) were orally administered 3 times a week for 8 weeks. Results : The suppressive effects of APF on asthma model were demonstrated by the increase the number of regulatory T cells, ${\gamma}{\delta}$ T cells and by reducing the number of NK T cells. Conclusion : These results indicate that APF has a deep inhibitory effect on airway inflammation and hyperresponsiveness in murine model of asthma by increase the number of regulatory T cells, and ${\gamma}{\delta}$ T cells and by reducing the number of NK T cells.

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