共查询到20条相似文献，搜索用时 62 毫秒
1.
Manoj Khandelwal 《Geotechnical and Geological Engineering》2012,30(1):205-217
The purpose of this article is to evaluate and predict the blast induced ground vibration using different conventional vibration
predictors and artificial neural network (ANN) at a surface coal mine of India. Ground Vibration is a seismic wave that spread
out from the blast hole when detonated in a confined manner. 128 blast vibrations were recorded and monitored in and around
the surface coal mine at different strategic and vulnerable locations. Among these, 103 blast vibrations data sets were used
for the training of the ANN network as well as to determine site constants of various conventional vibration predictors, whereas
rest 25 blast vibration data sets were used for the validation and comparison by ANN and empirical formulas. Two types of
ANN model based on two parameters (maximum charge per delay and distance between blast face to monitoring point) and multiple
parameters (burden, spacing, charge length, maximum charge per delay and distance between blast face to monitoring point)
were used in the present study to predict the peak particle velocity. Finally, it is found that the ANN model based on multiple
input parameters have better prediction capability over two input parameters ANN model and conventional vibration predictors. 相似文献
2.
Ali Kahriman Umit Ozer Mehmet Aksoy Abdulkadir Karadogan Gungor Tuncer 《Environmental Geology》2006,50(7):1015-1023
This paper presents the results of ground vibration measurements carried out in Hisarcik Boron open pit mine located on the west side of central Anatolia near Kütahya province in Turkey. Within the scope of this study to predict peak particle velocity (PPV) level for this site, ground vibration components were measured for 304 shots during bench blasting. In blasting operations, ANFO (blasting agent), gelatin dynamite (priming), and delay electric detonators (firing) were used as explosives. Parameters of scaled distance (charge quantity per delay and the distance between the source and the station) were recorded carefully and the ground vibration components were measured for all blast events using two different types of vibration monitors (one White Mini-Seis and one Instantel Minimate Plus Model). The absolute distances between shot points and monitor stations were determined using GPS. The equation of square root scaled distance extensively used in the literature was taken into consideration for the prediction of PPV. Then, the data pairs of scaled distance and particle velocity obtained from the 565 event records were analyzed statistically. At the end of statistical evaluation of the data pairs, an empirical relation which gives 50% prediction line with a reasonable correlation coefficient was established between PPV and scaled distance. 相似文献
3.
G. R. Adhikari A. I. Theresraj H. S. Venkatesh R. Balachander R. N. Gupta 《Fragblast: International Journal for Blasting and Fragmentation》2004,8(2):85-94
A database of ground vibration due to blasting at 27 limestone quarries, located in various parts of India, has been created. The database contains peak particle velocity (PPV), frequency, other vibration related and blast design parameters. Regression analysis of the data is carried out to derive site constants of the USBM predictor equation for individual quarries. It is found that these site constants are correlated with each other. By combining all the data, a generalised predictor equation is developed to assess and control ground vibration. In addition, mean zone of attenuation has been delineated using the predictor equations of the individual quarries. The dominant frequency of ground vibration with respect to distance and the possibility of modifying it by changing delay intervals in production blasts are also examined. 相似文献
4.
Yagoub M. M. Alsereidi Aishah A. Mohamed Elfadil A. Periyasamy Punitha Alameri Reem Aldarmaki Salama Alhashmi Yaqein 《Natural Hazards》2020,100(1):111-132
Prediction and control of blast-induced ground vibration is a matter of concern in mining industry since long. Several approaches ranging from scaled distance regression, different numerical methods to wave superimposition theories have been tried by many researchers for better prediction and control of blast-induced ground vibration. Signature hole analysis is one of the popular simulation methods to predict the ground vibration generated due to production blast. It superimposes the recorded signature hole waveform using a computer program to predict the production blast-induced vibration. The technique inputs the designated time of detonation of each hole and superimposes the waves generated by each hole to predict the nearest value of peak particle velocity and frequency of blast-induced ground vibration. Although a very useful approach, it requires a computer program to simulate the linear superimposition of waveforms. The simulation is not possible for every blast as it takes time and also is difficult for field engineers to simulate every time, whereas it is always easy for blasting engineers to adapt and use an empirical equation/approach for prediction and control of blast-induced ground vibration than simulation. In this paper, an attempt has been made to develop an innovative and simplified analytical approach of signature hole analysis. The simplified sinusoidal wave equation is obtained from recorded signature hole ground vibration waveform properties and is superimposed mathematically according to the multi-hole blast design to predict the production blast-induced ground vibrations. The validation of the developed approach was done in three different sites, and up to 15% more accuracy in prediction of the blast, vibrations are achieved in comparison with signature hole analysis prediction.
相似文献5.
城市轨道交通造成环境的振动“污染”不容忽视。通过现场测试和理论分析,得到南京地面轨道交通运行引起的大地竖向振动加速度幅值、频率随距离轨道中心线不同位置的衰减规律,即随着与轨道水平距离的增加,大地竖向振动加速度幅值总的趋势表现为逐渐减弱,但在距离轨道中心线20～30 m之间振动幅值有所反弹;振动加速度的频率集中在0～ 100 Hz,最大值出现在30～80 Hz左右,随着与轨道水平距离的增加,各频率的振动信号分量总的趋势是减弱,且频率愈高衰减愈快。基于“北京交通大学”预测公式,建立包含受振点距离、地基土性质、列车速度3个参数的南京地面轨道交通运行引起大地振动的预测模型,与实测数据相比,吻合较好。 相似文献
6.
为研究免共振沉桩过程对地表振动影响,采用密度放大法以消除模型桩弹性模量过大对计算效率的影响,在有限差分软件FLAC3D中建立了相应的连续振动沉桩模型,并和文献中的现场测试结果进行了比较,分析了激振力幅值和振动频率这两个施工参数对地表振动响应的影响。结果表明：密度放大法可有效提高数值模拟的计算效率,模拟沉桩7.0倍桩径（4.9 m）所需计算时间约为12.0 h,数值结果较好地模拟了现场测试中免共振沉桩的地表振动影响;激振力幅值和振动频率均主要对近场（水平距离为5.0倍桩径范围内）的地表振动有明显影响;临界沉桩深度与地表振动影响峰值相对应,该深度随水平距离先增大后趋于稳定;激振力幅值对临界沉桩深度的改变不明显,振动频率对远场临界沉桩深度则有较明显影响。 相似文献
7.
Prediction of ground vibrations resulting from the blasting operations in an open-pit mine by adaptive neuro-fuzzy inference system 总被引：3，自引：0，他引：3
The aim of this study is to predict the peak particle velocity (PPV) values from both presently constructed simple regression
model and fuzzy-based model. For this purpose, vibrations induced by bench blasting operations were measured in an open-pit
mine operated by the most important magnesite producing company (MAS) in Turkey. After gathering the ordered pairs of distance
and PPV values, the site-specific parameters were determined using traditional regression method. Also, an attempt has been
made to investigate the applicability of a relatively new soft computing method called as the adaptive neuro-fuzzy inference
system (ANFIS) to predict PPV. To achieve this objective, data obtained from the blasting measurements were evaluated by constructing
an ANFIS-based prediction model. The distance from the blasting site to the monitoring stations and the charge weight per
delay were selected as the input parameters of the constructed model, the output parameter being the PPV. Valid for the site,
the PPV prediction capability of the constructed ANFIS-based model has proved to be successful in terms of statistical performance
indices such as variance account for (VAF), root mean square error (RMSE), standard error of estimation, and correlation between
predicted and measured PPV values. Also, using these statistical performance indices, a prediction performance comparison
has been made between the presently constructed ANFIS-based model and the classical regression-based prediction method, which
has been widely used in the literature. Although the prediction performance of the regression-based model was high, the comparison
has indicated that the proposed ANFIS-based model exhibited better prediction performance than the classical regression-based
model. 相似文献
8.
When trains move through the tunnels, vibrations are generated and transmitted to the surrounding ground causing vibrations and noises in adjacent structures. The vibrations and noises can sometimes reach such a high level that can hardly be tolerated by the neighboring residents especially in densely populated urban environments. Consequently, the problem of train-induced vibrations has received increasing attention from both engineers and researchers. This paper presents the application of the scaled boundary finite-element method (SBFEM) to the 3D analysis of ground vibrations induced by underground trains. The media around the tunnel is simulated by the SBFEM. The train track is modeled using the finite-element method. 3D examples in both frequency and time domains are addressed to validate the accuracy and applicability of the method. 相似文献
9.
Vladimír Schenk František Mantlík Michail N. Zhizhin Alexey G. Tumarkin 《Natural Hazards》1990,3(2):111-124
One hundred and twenty-eight strong ground motion CALTECH (Earthquakes in the U.S.A., 1940–1971) records of five Californian earthquakes, recorded at ground level and in basements, for which the modified Mercalli macroseismic intensities are known, were statistically processed to calculate 165 wave parameters. Correlation of the peak values of particle acceleration, velocity and displacement, energy, impulse and root-mean-square amplitude of the vibrations, durations of vibrations for certain levels of the peak amplitude, and spectral energies of 10 frequency windows with macroseismic intensity are discussed from the viewpoint of classification of ground-motion records.Paper presented at the 21st General Assembly of the European Seismological Commission held in Sofia 1988. 相似文献
10.
Ground vibrations due to road traffic constitute a major environmental problem. This paper presents a numerical model for the analysis and prediction of the ground vibrations due to the road traffic. A car model with four degrees of freedom is used for the determination of the load due to the road traffic. The load is then introduced in a 3D finite difference model for the determination of the traffic-induced ground vibrations. The numerical model is validated using field data. Numerical analyses show that both the amplitude and frequency of the traffic-induced vibrations are mainly affected by the vehicle speed, the road unevenness and the vehicle suspension system. Some recommendations are suggested for the reduction of these vibrations. 相似文献
11.
Many stiff pastes, made up of finely ground solid material with enough liquid to saturate the voids, have both a yield stress and a viscosity. However, in some cases both these rheological attributes can be reduced in value by the application of vibrations. This fact, already widely made use of in the construction industry, is of interest also for practical applications in the processing industries as well as in fundamental investigations of the physical structure and behaviour of such two- (or perhaps three-) phase systems.This paper reports the magnitudes of the reduction both of the yield stress and of the viscosity of a paste of iron ore and water, of a fixed composition in the capillary state.A squeeze-flow apparatus was used to make these measurements. It was modified to allow the specimen of paste to be vibrated.The iron ore was a Knob Lake flotation concentrate, ground to 62% through 325 mesh.The water content, constrained to a narrow range by the physics of this two-phase system, was 16% w/w (wet basis).The vibration frequency was in the range 10 to 30 Hz, whilst the peak-to-peak amplitude lay between 0.254 to 1.27 mm. The results showed that the yield stress decreased from 20 kPa in the unvibrated state to almost zero when vibrated at 10 Hz and with an amplitude of 0.254 mm.Again, the viscosity could be reduced markedly by the vibrations. Furthermore, the viscosity of the vibrated paste (i.e., with zero yield stress) could be correlated with the shear rate by a power-law equation.Because of the complexity of the system and the uncertainty of the influence of all possible variables, no attempt was made at this stage to set up any correlations. However, by inspection, the viscosity of this particular sample was fitted to a function of amplitude (A) and frequency (f), namely A2f0.5. No theoretical justification is put forward. 相似文献
12.
Prediction of Safe Charge to Protect Surrounding Structures Using Support Vector Machine 总被引：1，自引：0，他引：1
Manoj Khandelwal 《Geotechnical and Geological Engineering》2012,30(4):859-867
The present paper mainly with deals the prediction of safe explosive charge used per delay (QMAX) using support vector machine (SVM) incorporating peak particle velocity (PPV) and distance between blast face to monitoring point (D). 150 blast vibration data sets were monitored at different vulnerable and strategic locations in and around a major coal producing opencast coal mines in India. 120 blast vibrations records were used for the training of the SVM model vis-à-vis to determine site constants of various conventional vibration predictors. Rest 30 new randomly selected data sets were used to compare the SVM prediction results with widely used conventional predictors. Results were compared based on coefficient of correlation (R) between measured and predicted values of safe charge of explosive used per delay (QMAX). It was found that coefficient of correlation between measured and predicted QMAX by SVM was 0.997, whereas it was ranging from 0.063 to 0.872 by different conventional predictor equations. 相似文献
13.
This study evaluates the impacts resulting from quarry-blasting operation on nearby buildings and structures as it generates ground vibration, air blast, and fly rocks. In this paper, first blasting operation and its possible environmental effects are defined. Then the methods of blast-vibration prediction and commonly accepted criteria to prevent damage were introduced. A field experimental work was conducted to minimize the vibration effects at Saribayir quarry as it is an identical case for the many quarries situated in and around Istanbul, Turkey. Although the local surrounding geology and rock mechanics have great influence on vibrations as uncontrollable parameter, the charge weight per delay, delay period, geometric parameters of the blasts were changed to solve the existing vibration problem in the studied quarry. To obtain a realistic result, 10 blasts were carried out and 30 seismic records were made in different places mainly very close the buildings and the other vulnerable structures around the quarry. The evaluation is performed whether the vibration level are within safe limits or not. The prediction equation based on scaled distance concept is also determined, however, it is a site-specific model and need to be updated when the quarry advances. The safe blast parameters which minimize the environmental effect were determined for the Saribayir quarry. 相似文献
14.
沙牌坝址基岩场地地震动输入参数研究 总被引：2，自引：0，他引：2
重大水利水电工程地震动输入参数必须根据专门的地震危险性分析结果来确定。目前由地震危险性分析得到的一致概率反应谱具有包络的意义,不能反映实际地震的频谱特性,输入“一致概率反应谱”可能导致地震作用偏大;拟合设计反应谱人工生成地震动加速度时程的频率非平稳性也没有得到很好解决。为了解决这些问题,得到与坝址地震危险性一致、具体地震的输入参数,结合沙牌大坝提出了一套适用于重大水利水电工程基岩场地地震动输入参数确定方法：通过以有效峰值加速度为参数的概率地震危险性计算分析,确定坝址不同超越概率下的有效峰值加速度及对坝址贡献最大的潜在震源区;在最大贡献潜在震源内利用震级空间联合分布概率最大法确定坝址设定地震,依据加速度反应谱衰减关系确定与坝址设定地震对应的设计反应谱;根据设定地震结果和时变功率谱模型参数衰减关系确定时变功率谱,将时变功率谱和最小相位谱按三角级数叠加法进行强度和频率非平稳地震加速度时程合成。在对沙牌坝址区域的地震活动性及地震构造环境分析评价的基础上,采用上述方法,得到了坝址基岩场地不同超越概率下的有效峰值加速度、设计反应谱、强度和频率非平稳地震加速度时程等地震动输入参数。 相似文献
15.
Dejan Vasović Srđan Kostić Marina Ravilić Slobodan Trajković 《Environmental Earth Sciences》2014,72(10):3915-3928
In present paper, the blast-induced ground motion and its effect on the neighboring structures are analyzed at the limestone quarry "Drenovac" in central part of Serbia. Ground motion is examined by means of existing conventional predictors, with scaled distance as a main influential parameter, which gave satisfying prediction accuracy (R > 0.8), except in the case of Ambraseys–Hendron predictor. In the next step of the analysis, a feed-forward three-layer back-propagation neural network is developed, with three input units (total charge, maximum charge per delay and distance from explosive charge to monitoring point) and only one output unit (peak particle velocity). The network is tested for the cases with different number of hidden nodes. The obtained results indicate that the model with six hidden nodes gives reasonable predictive precision (R ≈ 0.9), but with much lower values of mean-squared error in comparison to conventional predictors. In order to predict the influence level to the neighboring buildings, recorded peak particle velocities and frequency values were evaluated according to United States Bureau of Mines, USSR standard, German DIN4150, Australian standard, Indian DMGS circular 7 and Chinese safety regulations for blasting. Using the best conventional predictor, the relationship between the allowable amount of explosive and distance from explosive charge is determined for every vibration standard. Furthermore, the effect of air-blast overpressure is analyzed according to domestic regulations, with construction of a blasting chart for the permissible amount of explosive as a function of distance, for the allowable value of air-blast overpressure (200 Pa). The performed analysis indicates only small number of recordings above the upper allowable limit according to DIN4150 and DMGS standard, while, for all other vibration codes the registered values of ground velocity are within the permissible limits. As for the air-blast overpressure, no damage is expected to occur. 相似文献
16.
Jayraj Singh A. K. Verma Haider Banka T. N Singh Sachin Maheshwar 《Arabian Journal of Geosciences》2016,9(3):224
Genetic algorithm (GA) and support vector machine (SVM) optimization techniques are applied widely in the area of geophysics, civil, biology, mining, and geo-mechanics. Due to its versatility, it is being applied widely in almost every field of engineering. In this paper, the important features of GA and SVM are discussed as well as prediction of longitudinal wave velocity and its advantages over other conventional prediction methods. Longitudinal wave measurement is an indicator of peak particle velocity (PPV) during blasting and is an important parameter to be determined to minimize the damage caused by ground vibrations. The dynamic wave velocity and physico-mechanical properties of rock significantly affect the fracture propagation in rock. GA and SVM models are designed to predict the longitudinal wave velocity induced by ground vibrations. Chaos optimization algorithm has been used in SVM to find the optimal parameters of the model to increase the learning and prediction efficiency. GA model also has been developed and has used an objective function to be minimized. A parametric study for selecting the optimized parameters of GA model was done to select the best value. The mean absolute percentage error for the predicted wave velocity (V) value has been found to be the least (0.258 %) for GA as compared to values obtained by multivariate regression analysis (MVRA), artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS), and SVM. 相似文献
17.
Umit Ozer Abdulkadir Karadogan Ali Kahriman Mehmet Aksoy 《Arabian Journal of Geosciences》2013,6(3):711-721
This research was performed on the quarry that will be opened to produce aggregates and rock filling material at Catalagzi region at Zonguldak province in Turkey. However, there are some structures which can be adversely affected by blasting at the quarry. These structures are a methane exploration drill hole and a house at the distances of 340 and 390 m, respectively. One of the main goals of this study is to perform a preliminary assessment of possible damage effect of ground vibrations induced by blasting on these structures by risk analysis based on ground vibration measurements. In order to propose a preliminary blast design models separately for aggregate and rock filling material production, six test shots with different maximum charge per delay were planned and fired at the quarry. In these shots, 90 events were recorded. To predict peak particle velocity (PPV), the relationship between the recorded peak particle velocities and scaled distances were investigated. During this investigation, the data pairs were statistically analyzed and a PPV prediction equation specific to this site with 95% prediction line were obtained. And also, this equation was used in the derivation of the practical blasting charts specific to this site as a practical way of predicting the peak particle velocity and maximum charge per delay for future blasting. A risk analysis was performed by using this equation. In the light of this analysis, preliminary blast design models were proposed to be used in this quarry for aggregate and rock filling material production. 相似文献
18.
Observation of major bands seen in infrared spectra of 26 phyllosilicates (23 of which were produced in the laboratory) are reported for wave numbers from 50 to 280 cm?1. Substitutions in the various structural sites (interlayer, tetrahedral and octahedral) permit one to identify the ions which contribute to the vibrations which give rise to bands in the infrared spectra. No attempt is made to assign vibrational modes or specific vibrational types. Using the following ion substitutions, OH-OD; Na-K-Sr-Mg-Ca; Si-Ge; Al-Ga; Mg-Co-Ni-Fe, it is apparent that in the 7 Å chlorite (amesite and chrysotile), kaolinite, pyrophyllite, aluminous dioctahedral mica, aluminous smectites and trioctahedral micas it is not possible to attribute any low frequency bands as being dominated by interlayer ion stretch vibrations (alkali ions). The cations which participate in the vibrators responsible for the dominant modes observed then seem to be Si and Al. This does not exclude the existence of interlayer ion stretch modes in these spectral regions, however they could not be identified. In the materials studied only a few bands can be attributed to hydroxyl-related vibrations and little influence is seen for octahedrally coordinated ions in dioctahedral minerals. It is important to note that the lowest frequency bands (80–140 cm?1) are apparently dominated by vibrations in the network and especially to the Si-O part of the structure. Low frequency bands are however most apparent in charged layer structures, i.e. micas and smectites. 相似文献
19.
为评价地铁环境振动对某中心城区拟建住宅办公楼的影响,本文使用高灵敏度测试仪TROMINO对该建筑场地进行了24 h环境振动测试,得到了场地3个方向加速度和速度的实测数据。采用1/3倍频程分析法对实测数据进行处理,分析了不同时段场地振动变化规律,并将分析结果与国际标准ISO 2631关于此类建筑场地的振动限值进行对比。结果表明:有地铁运行时的环境振动峰值远大于无地铁运行时;无地铁运行时,地面振动加速度幅值介于10-5~10-1 gal之间,且无明显振动主频;有地铁运行时,振动幅值介于10-4~100 gal之间,并在晚高峰时段达到最大值0.8 gal;地铁运行引起的地面振动主频介于40~50 Hz之间。低频段内（2~8 Hz）场地振动加速度最大值约为0.030 gal,中高频段内（8~250 Hz）场地振动速度最大值为26.715 μm ·s-1,均满足标准要求。 相似文献
20.
Application of an Expert System to Predict Maximum Explosive Charge Used Per Delay in Surface Mining
The present paper mainly deals with the prediction of maximum explosive charge used per delay (Q MAX) using an artificial neural network (ANN) incorporating peak particle velocity (PPV) and distance between blast face to monitoring point (D). One hundred and fifty blast vibration data sets were monitored at different vulnerable and strategic locations in and around major coal producing opencast coal mines in India. One hundred and twenty-four blast vibrations records were used for the training of the ANN model vis-à-vis to determine site constants of various conventional vibration predictors. The other 26 new randomly selected data sets were used to test, evaluate and compare the ANN prediction results with widely used conventional predictors. Results were compared based on coefficient of correlation (R), mean absolute error and mean squared between measured and predicted values of Q MAX. It was found that coefficient of correlation between measured and predicted Q MAX by ANN was 0.985, whereas it ranged from 0.316 to 0.762 by different conventional predictor equations. Mean absolute error and mean squared error was also very small by ANN, whereas it was very high for different conventional predictor equations. 相似文献