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1.
在单轴循环加载实验中,改变平均应力和正弦波应力振幅的条件下,研究了饱和砂岩的衰减、杨氏模量和泊松比的动态响应。获得随平均应力增大杨氏模量增大,随应力振幅增大应力~应变滞回曲线向应变增大方向移动,随应力振幅减小滞回圈包含在峰值应力的滞回圈内,反映出饱和岩石记忆特性。饱和岩石随应变振幅的增大衰减增大,模量呈线性下降,泊松比呈非线性增大。在低频段,这些物理力学参数的弹性非线性特征,对研究天然地震和储层勘探,以及它们的资料解释具有现实意义。  相似文献   

2.
香港地区地震风险评价和设防区划   总被引:3,自引:0,他引:3  
香港地区隶属于中国板内地震区中的东南沿海块缘地震带。港-九块体为晚中生代至早第三纪以来以持续稳定上升为主的块体, 块体活动性明显地低于其周边相对下沉的中新生代盆地。为此, 赋予港-九块体为最大可信震级M=5.5级潜在震源区, 而其周边中新生代断陷盆地则为最大可信震级M6.0潜在震源。从大陆地震构造成因的环境、潜在震源可信震级范围M=5.0~7.5和近源地震动饱和等三个方面的可比性, 结合中国大陆地震震源破裂尺度和地震烈度影响场, 所建立的反映中国地震构造和震源破裂及地震烈度影响场特点的PGA和反应谱地震动衰减预测关系式可用于香港地区。以50%概率时的中值对中国强震记录的对比, 本研究所提供的经验期望预测关系式, 能包络实际的资料。因此, 用此地震动衰减预测模式对香港地区地震危险性进行评估, 将会得到相对保守地震动预测值。通过香港地区基岩地震动危险性分析和计算, 参照中国大陆地震设防标准, 进行了基岩设计参数确定和区划。以年概率P=0.02、P=0.002、P=0.0004三个概率标准, 对应的地震动重复周期大约分别约为50a, 500a, 2500a的基岩PGA和反应谱, 作为香港地区基岩上构筑物和建筑物可选的基  相似文献   

3.
郑军  王明洋  肖军华  施烨辉  杨旭 《岩土力学》2012,33(Z2):302-306
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   

4.
在本文,我们精心挑选了M1为4.0~5.0发生在台湾地区的壳内地震215个,使用福建台网记录到的这些地震的最大地动位移资料,利用多元回归分析,拟合出最大地动位移的衰减特征为logA=2.07+231.11/Δ与之相应的量规函数的表达式为R(Δ)=3.45-231.1(1/Δ-1/100)利用上式,对上述的215个地震,分别求出福建台网的平均震级及均方差。平均的均方差为0.19,如果在测定震级时,考虑到台基修正值,则平均的均方差为0.13;把测定的结果与台湾相关部门的测定结果进行比较,高了0.12±0.22。又对138个M1大于5.0级的台湾壳内地震进行了相应的计算,我们测定的震级比台湾的结果平均高了0.20±0.22,其他结果与前者没大的差别。  相似文献   

5.
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  
钟菊芳  温世亿  胡晓 《岩土力学》2011,32(2):387-392
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   

6.
剪切波速作为土性的基本参数,为评价土体抵抗地震液化的能力提供了一种方法。回顾了以剪切波速和地表峰值加速度为依据的场地地震液化判别方法的演化历史,依据他人收集的现场液化资料,合计49次地震、618例液化/不液化场地数据,提出了确定液化临界曲线的基本原则,给出了基于修正剪切波速与地表峰值加速度的液化临界曲线,验证了液化临界曲线的位置对细粒含量、有效上覆压力、震级等因素取值变化的合理性,分析了估计土层循环应力比CSR的剪应力折减系数、震级标定系数、有效上覆压力修正系数等因素的不确定性对液化临界曲线的敏感性。结果表明:液化临界曲线对各种影响因素具有很好的适用性。利用Monte Carlo模拟、加权最大似然法和加权经验概率法,给出了建议的液化临界曲线的名义抗液化安全系数与液化概率的经验关系式及概率等值线,并对核电厂Ⅰ类、Ⅱ类和Ⅲ类抗震物项地基,分别建议了相应的液化临界曲线。该方法以丰富的现场液化数据为依据,具有广泛的应用前景。  相似文献   

7.
BP神经网络因具有良好的精度和拟合能力,被广泛地运用在区域性滑坡危险性预测中。本文建立了基于BP神经网络的地震滑坡危险性评价模型并应用于四川九寨沟地区,以2017年8月8日的九寨沟MS7.0地震引发的4834个历史滑坡为例,将其随机划分为70%的训练样本集用于九寨沟地区地震滑坡危险性预测,以及30%的验证样本集对预测结果的精度进行评估。选取高程、坡度、坡向、平行发震断层距离、垂直发震断层距离、震中距离、距道路距离、地面峰值加速度(PGA)以及岩性共9个影响因子,分析发震断层对地震滑坡的控制作用,并总结九寨沟地区地震滑坡空间分布规律特征,其中发震断层、岩性和坡度对九寨沟地区地震滑坡分布产生重要影响。利用模型得到九寨沟地震滑坡危险性预测图,结果显示73.19%的滑坡位于极高和高危险区域,与实际地震滑坡分布基本相符。通过30%的验证样本集来绘制预测成功率曲线,结果表明模型预测成功率(AUC值)为0.90,证实了BP神经网络在九寨沟地区地震滑坡危险性预测中具有良好的精度和拟合能力,评价结果为后续地震滑坡灾害预测和防震减灾工作提供了科学的参考。  相似文献   

8.
华南沿海地区地震烈度衰减关系   总被引:1,自引:0,他引:1  
建立适合本地区的地震烈度衰减关系,是研究地震背景的重要一环。随着资料积累的增加和人们认识的提高,我们在分析历史资料完整性、可靠性基础上,筛选21次有详细宏观调查报告、有仪器测定震级,震级、烈度分布均衡的54组数据。采用最小二乘法,变换常数R,反复统计、搜索方差小,结果符合客观规律的统计结果,并与原东部和华南地区的衰减关系进行全面的比较。建立更符合客观规律,适合本地区的地震烈度衰减关系。  相似文献   

9.
地震波的吸收衰减与储层的含油气性直接相关。通过对地震波衰减属性的提取和分析,可以使我们更好地对储层的性质(含油气性)做出识别和判断,使地震资料的储层预测工作取得更好的效果。这里主要叙述了利用分频瞬时Q值属性识别和预测研究区夏子街组优质储层的方法流程及应用效果。通过与已钻井的资料对比分析得到,吸收衰减属性的应用效果较好,所得结果正确可靠,从而为该地区的油气储层预测提供了重要依据。  相似文献   

10.
赖晓玲  孙译 《地球科学》2017,42(4):645-651
三分量旋转地震动是目前地球物理研究重点之一.利用爆炸震源的平动地震仪观测资料,通过间接计算获得三分量旋转地震动.利用了3炮500 kg炸药的观测资料,3个爆炸点到观测台阵的距离分别是1.8、2.8和8.9 km,计算得到了台阵相对于这3个爆炸点的旋转地震动,其最大峰值旋转角速度分别是41.65、21.98和0.29 μrads/s,与国际同行的旋转地震动结果量级接近.地震动峰值随震中距的衰减是地震工程中关注的问题.提取出三分量的旋转角速度峰值,利用指数函数对三分量的峰值进行拟合,初步得到三分量的旋转地震动角速度峰值随震中距的衰减关系.衰减曲线的主要特征是,1~3 km旋转角速度能量迅速衰减,大于5 km以后衰减逐渐减慢,随着震中距增大曲线的变化越来越趋于平缓.   相似文献   

11.
The Kutch region of Gujarat in India is the locale of one of the most devastating earthquake of magnitude (M w) 7.7, which occurred on January 26, 2001. Though, the region is considered as seismically active region, very few strong motion records are available in this region. First part of this paper uses available data of strong motion earthquakes recorded in this region between 2006 and 2008 years to prepare attenuation relation. The developed attenuation relation is further used to prepare synthetic strong motion records of large magnitude earthquakes using semiempirical simulation technique. Semiempirical simulation technique uses attenuation relation to simulate strong ground motion records of any target earthquake. The database of peak ground acceleration obtained from simulated records is used together with database of peak ground acceleration obtained from observed record to develop following hybrid attenuation model of wide applicability in the Kutch region: $$ \begin{aligned} \ln \left( {\text{PGA}} \right) & = - 2.56 + 1.17 \, M_{\text{w}} - \, 0.015R - 0.0001\ln \left( {E + 15} \right) \\ &\quad 3.0 \le M_{\text{w}} \le 8.2;\quad 12 \le R \le 120;\quad {\text{std}} . {\text{ dev}}.(\sigma ): \pm 0.5 \\ \end{aligned} $$ ln ( PGA ) = ? 2.56 + 1.17 M w ? 0.015 R ? 0.0001 ln ( E + 15 ) 3.0 ≤ M w ≤ 8.2 ; 12 ≤ R ≤ 120 ; std . dev . ( σ ) : ± 0.5 In the above equation, PGA is maximum horizontal ground acceleration in gal, M w is moment magnitude of earthquake, R is hypocentral distance, and E is epicentral distance in km. The standard deviation of residual of error in this relation is 0.5. This relation is compared with other available relations in this region, and it is seen that developed relation gives minimum root mean square error in comparison with observed and calculated peak ground acceleration from same data set. The applicability of developed relation is further checked by testing it with the observed peak ground acceleration from earthquakes of magnitude (M w), 3.6, 4.0, 4.4, and 7.7, respectively, which are not included in the database used for regression analysis. The comparison demonstrates the efficacy of developed hybrid attenuation model for calculating peak ground acceleration values in the Kutch region.  相似文献   

12.
This study presents new attenuation models for the estimation of peak ground acceleration (PGA), peak ground velocity (PGV), and peak ground displacement (PGD) using a hybrid method coupling genetic programming and simulated annealing, called GP/SA. The PGA, PGV, and PGD were formulated in terms of earthquake magnitude, earthquake source to site distance, average shear-wave velocity, and faulting mechanisms. A worldwide database of strong ground motions released by Pacific Earthquake Engineering Research Center (PEER) was employed to establish the models. A traditional genetic programming analysis was performed to benchmark the proposed models. For more validity verification, the GP/SA models were employed to predict the ground-motion parameters of the Iranian plateau earthquakes. Sensitivity and parametric analyses were carried out and discussed. The results show that the GP/SA attenuation models can offer precise and efficient solutions for the prediction of estimates of the peak time-domain characteristics of strong ground motions. The performance of the proposed models is better than or comparable with the attenuation relationships found in the literature.  相似文献   

13.
Earthquake ground motion model is an essential part of seismic hazard assessment. The model consists in several empirical ground motion prediction equations (GMPEs) that are considered to be applicable to the given region. When the recorded ground motion data are scarce, numerical modeling of ground motion based on available seismological information is widely used. We describe results of stochastic simulation of ground motion acceleration records for western Saudi Arabia. The simulation was performed using the finite fault model and considering peak ground acceleration and amplitudes of spectral acceleration at natural frequencies 0.2 and 1.0 s. Based on the parameters of the input seismological model that were accepted in similar previous studies, we analyze influence of variations in the source factor (stress drop) and in the local attenuation and amplification factors (kappa value, crustal amplification). These characteristics of the model are considered as the major contributors to the ground motion variability. The results of our work show that distribution of simulated ground motion parameters versus magnitude and distance reveals an agreement with the GMPEs recently used in seismic hazard assessment for the region. Collection of credible information about seismic source, propagation path, and site attenuation parameters using the regional ground motion database would allow constraining the seismological model and developing regional GMPEs. The stochastic simulation based on regional seismological model may be applied for generation of ground motion time histories used for development of analytical fragility curves for typical constructions in the region.  相似文献   

14.
This paper presents an application of neural network approach for the prediction of peak ground acceleration (PGA) using the strong motion data from Turkey, as a soft computing technique to remove uncertainties in attenuation equations. A training algorithm based on the Fletcher–Reeves conjugate gradient back-propagation was developed and employed for three sample sets of strong ground motion. The input variables in the constructed artificial neural network (ANN) model were the magnitude, the source-to-site distance and the site conditions, and the output was the PGA. The generalization capability of ANN algorithms was tested with the same training data. To demonstrate the authenticity of this approach, the network predictions were compared with the ones from regressions for the corresponding attenuation equations. The results indicated that the fitting between the predicted PGA values by the networks and the observed ones yielded high correlation coefficients (R2). In addition, comparisons of the correlations by the ANN and the regression method showed that the ANN approach performed better than the regression. Even though the developed ANN models suffered from optimal configuration about the generalization capability, they can be conservatively used to well understand the influence of input parameters for the PGA predictions.  相似文献   

15.
The semi-empirical approach for modeling of strong ground motion given by Midorikawa (Tectonophysics 218:287?C295, 1993) has been modified in the present paper for component wise simulation of strong ground motion. The modified approach uses seismic moment in place of attenuation relation for scaling of acceleration envelope. Various strong motion properties like directivity effect and dependence of peak ground acceleration with respect to surface projection of source model have been studied in detail in the present work. Recently, Sikkim earthquake of magnitude 6.9 (M w ) that occurred on September 18, 2011 has been recorded at various near-field and far-field strong motion stations. The modified semi-empirical technique has been used to confirm the location and parameters of rupture responsible for this earthquake. Strong motion record obtained from the iterative modeling of the rupture plane has been compared with available strong motion records from near as well as far-field stations in terms of root mean square error between observed and simulated records. Several possibilities of nucleation point, rupture velocity, and dip of rupture plane have been considered in the present work and records have been simulated at near-field stations. Final selection of model parameters is based on root mean square error of waveform comparison. Final model confirms southward propagating rupture. Simulations at three near-field and twelve far-field stations have been made using final model. Comparison of simulated and observed record has been made in terms of peak ground acceleration and response spectra at 5?% damping. Comparison of simulated and observed record suggests that the method is capable of simulating record which bears realistic appearance in terms of shape and strong motion parameters. Present work shows that this technique gives records which matches in a wide frequency range for Sikkim earthquake and that too from simple and easily accessible parameters of the rupture plane.  相似文献   

16.
Strong-motion parameters, peak ground acceleration, peak ground velocity, and peak ground displacement depend on several factors, such as the source of earthquake, distance between the source and site, and the characteristics of that site. Five seismographs and two accelographs were installed by the Egyptian Geological Survey team along the western side of the Gulf of Aqaba from Taba to Sharm El-Sheikh to record seismic events during the period from September 1995 to June 1996. During this period, two events were recorded by the accelographs. The two accelographs were located on the surface of the basement rocks, the first near the epicenter and the second at a farther distance. However, the farthest accelograph recorded higher values compared to the nearer one. Fault mechanics are an important factor in determining the values of strong motion parameters, where the direction of the rupture line plays an important role in detecting the values of strong motion parameters, the strong motion parameters and damage effects seem to be attenuated very fast in the direction perpendicular to the rupture line. This can be interpreted by the fact that the farthest accelograph lies at the extension of the fault rupture (azimuth = 30°), while the nearer one was perpendicular to the strike of the fault rupture.  相似文献   

17.
Estimation of seismic spectral acceleration in Peninsular India   总被引:6,自引:0,他引:6  
Peninsular India (PI), which lies south of 24°N latitude, has experienced several devastating earthquakes in the past. However, very few strong motion records are available for developing attenuation relations for ground acceleration, required by engineers to arrive at rational design response spectra for construction sites and cities in PI. Based on a well-known seismological model, the present paper statistically simulates ground motion in PI to arrive at an empirical relation for estimating 5% damped response spectra, as a function of magnitude and source to site distance, covering bedrock and soil conditions. The standard error in the proposed relationship is reported as a function of the frequency, for further use of the results in probabilistic seismic hazard analysis.  相似文献   

18.
Recent and paleo seismicity indicate that moderate seismic activity is relatively large for Aswan area. This is a warning on the possibility of occurrence of earthquakes in the future too. No strong motion records are available in Aswan area for engineers to rely upon. Consequently, the seismological modeling is an alternative approach till sufficient instrumental records around Aswan become available. In the present study, we have developed new ground motion attenuation relationship for events spanning 4.0?? M w?≤?7.0 and distance to the surface projection of the fault up to 100 km for Aswan based on a statistically simulated seismological model. We generated suites of ground motion time histories using stochastic technique. The ground motion attenuation relation describes the dependence of the strength of the ground motions on the earthquake magnitude and distance from the earthquake. The proposed equation for peak ground acceleration (PGA) for the bed rock is in the form of: $ {\mathbf{log}}{\text{ }}\left( {{\mathbf{PGA}}/{\mathbf{gal}}} \right){\text{ }} = {\mathbf{1}}.{\mathbf{24}} + {\mathbf{0}}.{\mathbf{358}}{M_{\mathbf{w}}} - {\text{ }}{\mathbf{log}}\left( {\mathbf{R}} \right){\text{ }}-{\text{ }}{\mathbf{0}}.{\mathbf{008}}{\text{ }}{\mathbf{R}}{\text{ }} + {\text{ }}{\mathbf{0}}.{\mathbf{22}}{\text{ }}{\mathbf{P}} $ . Where PGA is the peak ground acceleration in gal (cm/s2); Mw, its moment magnitude; R is the closest distance between the rupture projection and the site of interest; and the factor P is a dummy variable. It is observed that attenuation of strong motion in Aswan is correlated with those used before in Egypt.  相似文献   

19.
Peak Ground Acceleration (PGA) is a very important ground motion parameter which is used to define the degree of ground shaking during an earthquake. It is also very helpful for designing earthquake resistant structure. The PGA can be estimated by attenuation relationships using magnitude, distance, source type etc of a ground motion. In the past, several researchers have developed over 450 attenuation relationships for predicting PGA for a specific region. In the present study an attempt has been made to develop an attenuation relationship on the basis of these available previous relationships in rock site which will be applicable for any region of the world. In the present study, PGA has been expressed as a function of moment magnitude and hypo-central distance in rock site. Chi-square test have also been performed with available earthquake data in American and Indian region for verifying the accuracy of the generated attenuation relationship. Using multiple regression and Genetic Algorithm (GA) the attenuation relationship equations have also been generated. These equations will be very helpful for performing seismic hazard analysis and predicting earthquake force in any region of the world.  相似文献   

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