• Title/Summary/Keyword: blast prediction

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Prediction of Blasting-induced Vibration at Sintanjin Area, Daejeonusing Borehole Test Blasting (시추공 시험발파를 이용한 대전 신탄진 지역의 발파진동 예측)

  • Lee, Chung-Won;Park, Sung-Yong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.60 no.4
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    • pp.55-62
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    • 2018
  • Problems on vibration due to blasting for infrastructure development are getting important because of a civil appeal. Blasting-induced vibration is representative construction pollution, hence, it is possible that a number of environmental damages occur. In this study, borehole test blasting was conducted at Sintanjin area, Daejeon and square root equation with 95% confidence level was proposed for prediction of blasting-induced vibration. The vibration value predicted from this equation was more conservatively evaluated than the values predicted from U.S. Department of Interior, Bureau of Mines (USBM) and Nippon Oil & Fats Co., Ltd. (NOF) equations. Therefore, the proposed equation in this study seems to contribute for safety blast design. However, for optimal blast design, inducing equation for prediction of blasting-induced vibration through the identical test blasting with field construction such as rock slope blasting would be required.

Prediction Model of Blast Load Acting on a Column Component Under an External Explosion Based on Database (D/B기반 외부폭발에 의해 기둥에 작용하는 폭압이력 예측 모델)

  • Sung, Seung-Hun;Cha, Jeong-min
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.35 no.4
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    • pp.207-214
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    • 2022
  • A prediction model is proposed for a blast load acting on a column component because of an external explosion. The model can predict the pressure-time histories acting on a column using the fitting curves established from a database composed of finite-element (FE) analysis results. To this end, 70 numerical simulations using the commercial software AUTODYN were performed by changing the column width. To confirm the performance of the proposed model, pressure-time histories estimated from an existing empirical formula and the proposed model were compared based on the FE analysis results. It was verified that the proposed model can more precisely predict the pressure-time histories compared with the existing model.

Assessment of Blast-induced Vibration Using Dynamic Distinct Element Analysis (불연속체 동해석 기법을 이용한 발파진동 영향평가)

  • Park, Byung-Ki;Jeon, Seokwon;Park, Gwang-Jun;Do, Deog-Soo;Kim, Tae-Hoon;Jung, Du-Seop
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.15 no.12 s.105
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    • pp.1389-1397
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    • 2005
  • Since blast-induced vibration may cause serious problem to the rock mass as well as the nearby structures, the prediction of blast-induced nitration and the stability evaluation must be performed before blasting activities. Dynamic analysis has been increased recently in order to analyze the effect of the blast-Induced vibration. Most of the previous studies, however, were based on the continuum analysis unable to consider rock joints which significantly affect the wave propagation and attenuation characteristics. They also adopted pressure corves estimated tv theoretical or empirical equations as input detonation load, thus there were very difficult to reflect the characteristics of propagating media. In this study, therefore, we suggested a dynamic distinct element analysis technique which uses velocity waveform obtained from a test blast as an input detonation load. A distinct element program, UDEC was used to consider the effect of rock joints. In order to verify the validity of proposed method, the test blast was simulated. The predicted results from the proposed method showed a good agreement with the measured vibration data from the test blast. Through the dynamic numerical modelling on the planned road tunnel and slope, we evaluated the effect of blast-induced nitration and the stability of rock slope.

A New Approach to Find Orthologous Proteins Using Sequence and Protein-Protein Interaction Similarity

  • Kim, Min-Kyung;Seol, Young-Joo;Park, Hyun-Seok;Jang, Seung-Hwan;Shin, Hang-Cheol;Cho, Kwang-Hwi
    • Genomics & Informatics
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    • v.7 no.3
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    • pp.141-147
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    • 2009
  • Developed proteome-scale ortholog and paralog prediction methods are mainly based on sequence similarity. However, it is known that even the closest BLAST hit often does not mean the closest neighbor. For this reason, we added conserved interaction information to find orthologs. We propose a genome-scale, automated ortholog prediction method, named OrthoInterBlast. The method is based on both sequence and interaction similarity. When we applied this method to fly and yeast, 17% of the ortholog candidates were different compared with the results of Inparanoid. By adding protein-protein interaction information, proteins that have low sequence similarity still can be selected as orthologs, which can not be easily detected by sequence homology alone.

A Tensile Criterion to Minimize FE Mesh-Dependency in Concrete Beam under Blast Loading (폭발하중을 받는 콘크리트 보의 요소의존성 최소화 인장기준식)

  • Kwak, Hyo-Gyoung;Gang, HanGul
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.30 no.2
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    • pp.137-143
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    • 2017
  • A tensile failure criterion that can minimize the mesh-dependency of simulation results on the basis of the fracture energy concept is introduced, and conventional plasticity based damage models for concrete such as CSC model and HJC model, which are generally used for the blast analyses of concrete structures, are compared with orthotropic model in blast test to verify the proposed criterion. The numerical prediction of the time-displacement relations in mid span of the beam during blast loading are compared with experimental results. Analytical results show that the numerical error is substantially reduced and the accuracy of numerical results is improved by applying a unique failure strain value determined according to the proposed criterion.

Numerical Study for Prediction of Rock Falls Around Jointed Limestone Underground Opening due to Blast Vibration (발파진동에 의한 절리암반 지하공동의 낙석발생 예측에 관한 수치해석적 연구)

  • Kim, Hyon-Soo;Kim, Seung-Kon;Cho, Sang-Ho
    • Explosives and Blasting
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    • v.34 no.3
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    • pp.10-16
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    • 2016
  • Recently, transition from open pit to underground mining in limestone mines is an increasing trend in Korea due to environmental issues such as noise, dust and vibrations caused by crushers and equipment. The severe damages in the surrounding rock mass of underground opening caused by explosive blasting may lead to rock fall hazards or casualties. It is well known that variables which mainly affect blast-induced rock falls in underground mining are: blast vibration level, joint orientation and distribution and shape of the cross sections of underground structures. In this study, UDEC program, which is a DEM code, is used to simulate blast vibration-induced rock fall in underground openings. Variation of joint space, joint angle and joint normal stiffness was considered to investigate the effect of joint characteristics on the blast vibration-induced rock fall in underground opening. Finally, jointed rock mass models considering blast-induced damage zone were examined to simulate the critical blast vibration value which may cause rock falls in underground opening.

Prediction of concrete spall damage under blast: Neural approach with synthetic data

  • Dauji, Saha
    • Computers and Concrete
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    • v.26 no.6
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    • pp.533-546
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    • 2020
  • The prediction of spall response of reinforced concrete members like columns and slabs have been attempted by earlier researchers with analytical solutions, as well as with empirical models developed from data generated from physical or numerical experiments, with different degrees of success. In this article, compared to the empirical models, more versatile and accurate models are developed based on model-free approach of artificial neural network (ANN). Synthetic data extracted from the results of numerical experiments from literature have been utilized for the purpose of training and testing of the ANN models. For two concrete members, namely, slabs and columns, different sets of ANN models were developed, each of which proved to have definite advantages over the corresponding empirical model reported in literature. In case of slabs, for all three categories of spall, the ANN model results were superior to the empirical models as evaluated by the various performance metrics, such as correlation, root mean square error, mean absolute error, maximum overestimation and maximum underestimation. The ANN models for each category of column spall could handle three variables together: namely, depth, spacing of longitudinal and transverse reinforcement, as contrasted to the empirical models that handled one variable at a time, and at the same time yielded comparable performance. The application of the ANN models for spall prediction of concrete slabs and columns developed in this study has been discussed along with their limitations.

Development of Vibration Prediction Program of Gas Pipeline by Construction Vibration (건설진동에 의한 가스배관의 진동예측 프로그램 개발)

  • Jeong S. Y.;Hong S. K.;Kim J. H.;Koh J. P.
    • Journal of the Korean Institute of Gas
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    • v.5 no.2 s.14
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    • pp.30-35
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    • 2001
  • Presently, working gas pipelines are being subjected to the influence of construction vibration. Especially on subway and road construction, gas pipelines are being influenced to construction vibration caused by use of construction equipment, passage of a large-sized vehicle and blasting. Buried gas pipelines are subjected to the influence of vibration caused by blast in the vicinity of pipeline, exposed gas pipelines are subjected to the influence of vehicle vibration. Therefore, in the study, it is developed to vibration prediction program of gas pipeline by analyzing measured construction vibration. This program is able to predict vibration of gas pipeline according to field conditions by using the results of structural finite element analysis and empirical equation by reliability analysis. And, this program contains the database of construction vibration. Additionally, this program is able to compute estimated blast vibration equation using measured blast vibration data in the field and to form graph of allowable charging gunpowder per delayed-action with the change of blast velocity. Therefore, field workers are able to predict construction vibration around gas pipeline and estimate safety of gas pipeline.

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Prediction of Hot Gas Behavior in High Voltage Self-blast Circuit Breaker (초고압 복합소호 차단부의 열가스 거동 예측)

  • Kim, Jin-Bum;Yeo, Chang-Ho;Seo, Kyoung-Bo;Kweon, Ki-Yeoung;Lee, Hahk-Sung
    • Proceedings of the KSME Conference
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    • 2007.05b
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    • pp.2494-2499
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    • 2007
  • Self-blast circuit breakers utilize the energy dissipated by the arc itself to create the required conditions for arc quenching during the current zero. The high-current simulation provides information about the mixing process of the hot PTFE cloud with $SF_6$ gas which is difficult to access for measurement. But it is also hard to simulate flow phenomenon because the flow in interrupter with high current, $SF_6$-PTFE mixture vapor and complex physical behavior including radiation, calculation of electric field. Using a commercial computational fluid dynamics(CFD) package, the conservation equation for the gas and temperature, velocity and electric fields within breaker can be solved. Results show good agreement between the predicted and measured pressure rise in the thermal chamber.

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