• Title/Summary/Keyword: blast prediction

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Early Age Shrinkage by Self-Desiccation in Ultra-High-Strength Concrete

  • Yoo, Doo-Yeol;Min, Kyung-Hwan;Yang, Jun-Mo;Yoon, Young-Soo
    • Proceedings of the Korea Concrete Institute Conference
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    • 2010.05a
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    • pp.469-470
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    • 2010
  • The high-strength concrete(HSC) compared to normal concrete represents higher autogenous shrinkage due to lower water-to-binder ratio(W/B) and supplementaries, fly ash(FA) and granulated blast-furnace slag(BFS), etc. The potential of early age cracking which reduces durability of concrete structures is normally influenced by autogenous shrinkage and degree of restraint. Therefore, this paper studies on the evaluation of the characteristics of autogenous shrinkage for HSC, ultra-high-strength concrete(UHSC) containing admixtures by experimental test and the test results are compared with existed prediction models.

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Selection of plasmodium falciparum (Pf) malaria specific diagnosis target proteins based on bioinformatics (생명정보학 기반 열대열 말라리아 특이 진단 타깃 단백질 선정)

  • Seo, Seung Hwan;Kim, Hak Yong
    • Proceedings of the Korea Contents Association Conference
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    • 2014.11a
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    • pp.61-62
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    • 2014
  • 말라리아는 인체에 감염되는 열원충의 종류에 따라 크게 열대열 원충, 삼일열 원충, 사일열 원충, 난형열 원충으로 구분된다. 말라리아는 감염 후 치료시기를 놓칠 경우 사망에 이를 수 있는 위험한 질병이므로 초기 진단을 위한 Rapid Diagnostic Test(RDT) 키트가 중요하다. 기존의 진단키트의 경우, 열대열 말라리아와 삼일열 말라리아를 동시에 검출하여 치료법이 다름에도 불구하고 구분하여 진단하기가 어렵다. 이러한 이유로 본 연구에서는 열대열 말라리아에 특이적인 RDT키트 개발을 위해, PlasmoDB에서 열대열 말라리아 항원 단백질을 얻고 BLAST를 이용하여 열대열 말라리아에 특이적인 항원 단백질 후보군을 얻었다. 이후 감염단계에 따라 우선순위를 정하고 SPpred에서 제공하는 protein solubility prediction을 통해 실험적으로 단백질 발현 가능 여부를 확인한 결과, 최종적으로 histidine-rich protein II, histidine-rich protein III, glycophorin binding protein를 선정하였다. 이들 단백질을 이용한 열대열 말라리아 진단키트 제작은 열대열 말라리아 특이적 진단을 효과적으로 할 수 있다.

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A Basic Study on the Effect of Number of Hidden Layers on Performance of Estimation Model of Compressive Strength of Concrete Using Deep Learning Algorithms (Hidden Layer의 개수가 Deep Learning Algorithm을 이용한 콘크리트 압축강도 추정 모델의 성능에 미치는 영향에 관한 기초적 연구)

  • Lee, Seung-Jun;Lee, Han-Seung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2018.05a
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    • pp.130-131
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    • 2018
  • The compressive strength of concrete is determined by various influencing factors. However, the conventional method for estimating the compressive strength of concrete has been suggested by considering only 1 to 3 specific influential factors as variables. In this study, nine influential factors (W/B ratio, Water, Cement, Aggregate(Coarse, Fine), Fly ash, Blast furnace slag, Curing temperature, and humidity) of papers opened for 10 years were collected at 4 conferences in order to know the various correlations among data and the tendency of data. The selected mixture and compressive strength data were learned using the Deep Learning Algorithm to derive an estimated function model. The purpose of this study is to investigate the effect of the number of hidden layers on the prediction performance in the process of estimating the compressive strength for an arbitrary combination.

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Damage Prediction of Reinforced Concrete Structures due to Ground Motion (지반진동으로 인한 R/C 구조물의 손상에 관한 연구)

  • Rhim, Hong-Chul;Kim, Ji-Yeon
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.6 no.2
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    • pp.195-202
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    • 2002
  • Urbanization and development of industry makes people concerned about quality of circumstances. Problems of vibration are on the rise. Vibration makes inhabitants feel unpleasant and involves structural damage. The purpose of this study is to assess damage of reinforced concrete structures due to ground motions as the parameters of frequency, duration time and aspect ratio of structures are changed. Ground motions were modeled as sine waves. To compare sine waves with real ground motions, two cases are selected; one is blast loading case and the other is earthquake loading. It was intended to provide means to assess R/C structure damage due to ground motions.

Compressive strength estimation of eco-friendly geopolymer concrete: Application of hybrid machine learning techniques

  • Xiang, Yang;Jiang, Daibo;Hateo, Gou
    • Steel and Composite Structures
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    • v.45 no.6
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    • pp.877-894
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    • 2022
  • Geopolymer concrete (GPC) has emerged as a feasible choice for construction materials as a result of the environmental issues associated with the production of cement. The findings of this study contribute to the development of machine learning methods for estimating the properties of eco-friendly concrete to help reduce CO2 emissions in the construction industry. The compressive strength (fc) of GPC is predicted using artificial intelligence approaches in the present study when ground granulated blast-furnace slag (GGBS) is substituted with natural zeolite (NZ), silica fume (SF), and varying NaOH concentrations. For this purpose, two machine learning methods multi-layer perceptron (MLP) and radial basis function (RBF) were considered and hybridized with arithmetic optimization algorithm (AOA), and grey wolf optimization algorithm (GWO). According to the results, all methods performed very well in predicting the fc of GPC. The proposed AOA - MLP might be identified as the outperformed framework, although other methodologies (AOA - RBF, GWO - RBF, and GWO - MLP) were also reliable in the fc of GPC forecasting process.

Whole Genome Sequencing and Gene Prediction of Cynodon transvaalensis

  • Sol Ji Lee;Chang soo Kim
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2022.10a
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    • pp.237-237
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    • 2022
  • Cynodon transvaalensis belongs to the warm-season grasses and is one of the economically and ecologically important crops. Cynodon species with high heterozygosity are difficult to assemble, so genome research has not been actively conducted. In this study, hybrid assembly was performed by sequencing with Illumina and PacBio. As a result of the assembly, the number of scaffolds and the length of N50 were 1,392, 928 kb, respectively. The completeness of the assembly was confirmed by BSUCO at 98.3%. In addition, as a result of estimating the size of the assembled genome by K-mer analysis (k=25), it was approximately ~413 Mb. A total of 37,060 cds sequences were annotated in the assembled genome, and their functions were identified through blast. After that, we try to complete the assembled genome into a pseudochromosome-level genome through Hi-C technology. These results will not only help to understand the complex genome composition of african bermudagrass, but also provide a resource for genomic and evolutionary studies of grass and other plant species.

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Prediction Model on Autogenous Shrinkage of High Performance Concrete (고성능 콘크리트의 자기수축 예측모델에 관한 연구)

  • Yoo, Sung-Won;Soh, Yang-Sub;Cho, Min-Jung;Koh, Kyung-Taek;Jung, Sang-Hwa
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.10 no.3
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    • pp.97-105
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    • 2006
  • The autogenous shrinkage of high-performance concrete is important in that it can lead the early cracks in concrete structures. The purpose of the present study is to explore the autogenous shrinkage of high-performance concrete with admixture and to derive a realistic equation to estimate the autogenous shrinkage model of that. For this purpose, comprehensive experimental program has been set up to observe the autogenous shrinkage for various test series. Major test variables were the type and contents of admixture and water-cement ratio is fixed with 30%. The autogenous shrinkage of HPC with fly ash slightly decreased than that of OPC concrete, but the use of blast furnace slag increased the autogenous shrinkage. Also, the autogenous shrinkage of HPC is found to decrease with increasing shrinkage reduction agent and expansive additive. A prediction equation to estimate the autogenous shrinkage of HPC with admixture was derived and proposed in this study. The proposed equation show reasonably good correlation with test data on autogenous shrinkage of HPC with mineral and chemical admixture.

Influence of Inner-hole Priming Location on Ground Vibration (발파공내 기폭위치가 지반진동에 미치는 영향)

  • Kim, Jae-Woong;Kang, Choo-Won;Ko, Chin-Surk
    • Explosives and Blasting
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    • v.30 no.1
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    • pp.29-36
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    • 2012
  • In this study, the influence of priming location inside a blast hole on the ground vibration has been studied. In most of the previous studies dealing with the ground vibration, the effect of priming location in a blast hole was usually considered in a limited way. Thus, it seems that the results of the studies can be applicable only to the relevant sites. Considering the fact that the mechanism of ground vibration caused by blasting is quite complex, the priming location can have a considerable effect on the ground vibration in certain situations and be an important parameter in a blasting design. To identify the characteristics of the wave propagation according to priming locations, total 72 test blasts were carried out with different spacing, burden, drilling length, and charge, and prediction equations were derived. The characteristics of ground vibration, which was changed according to the priming location, was analyzed by using the nomogram of peak particle velocity (PPV) record. Attenuation relations, which were also dependent on the priming location, were analyzed. In this case, four different amounts of charge, that is, 0.5, 1.6, 5, and 15 kg, were used for the test. This criterion of charge amount is specified in the "Blasting design and construction guidelines to road construction" by the Ministry of Land, Transport and Maritime Affairs of Korea.

Influence of Delay Time and Priming Location on the Blast-Induced Ground Vibration (발파공 사이의 지연시차와 기폭위치가 지반진동에 미치는 영향)

  • Kang, Choo Won;Ryu, Bok Hyun;Choi, Tae Hong
    • Tunnel and Underground Space
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    • v.24 no.1
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    • pp.97-109
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    • 2014
  • In order to identify the characteristics of the propagation depending on delay time (20, 25 ms) and priming location (top priming, middle priming, bottom priming), test blasts were carried out a total of 4 times using different spacing, burden, drilling length, charge per delay and was derived the formula to predict blast vibration. This study investigated the characteristics of vibration by analysis of the nomogram and prediction of Peak Particle Velocity (PPV) from delay time and priming location by the formula to predict ground vibration. And it analyzed the trends of vibration increase by standards charge 0.5, 1.6, 5, 15 kg. Standards charge is "Blasting design and construction guidelines to road construction" by the Ministry of Land, Infrastructure and Transport. Depending on the charge in favor of vibration control method is proposed. Thus, when the design was to be used as a variable.

A Case Study on a Large Scale Borehole Test Blasting to Generate Man-made Earthquake (인공지진 발생을 위한 대규모 시추공 시험발파 사례연구)

  • Jeong, Ju-Hwan;Choi, Byung-Hee;Ryu, Chang-Ha;Min, Hyung-Dong;Choi, Hyung-Bin
    • Explosives and Blasting
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    • v.27 no.2
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    • pp.48-55
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    • 2009
  • In the process of identifying the earth's crust structures to accurately locate the seismic epicenter, man-made earthquakes need to be generated. Such a large-scale ground vibration can be generated by a deep borehole blasting, but it can also accompany some environmental impacts on the surroundings. In this respect, a borehole test blasting was carried out to determine the maximum charge weight that could be used without affecting the various structures around the blast site. Total 400kg of gelatine-type dynamites was used in the test blast. As a result, a prediction equation for ground vibrations was derived from the measured data. With the allowable level of 3.0 mm/s for residential structures, the maximum charge weight was determined to be 677kg if military structures near the site were considered. But if the military structures were not considered, it was found that up to 2100kg of explosives could be used without affecting old houses in the nearby village.