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51.
J. J. Bommer M. B. Benito M. Ciudad-Real A. Lemoine M. A. Lpez-Menjívar R. Madariaga J. Mankelow P. Mndez de Hasbun W. Murphy M. Nieto-Lovo C. E. Rodríguez-Pineda H. Rosa 《Soil Dynamics and Earthquake Engineering》2002,22(5)
The small Central American republic of El Salvador has experienced, on average, one destructive earthquake per decade during the last hundred years. The latest events occurred on 13 January and 13 February 2001, with magnitudes Mw 7.7 and 6.6, respectively. The two events, which were of different tectonic origin, follow the patterns of the seismicity of the region although neither event has a known precedent in the earthquake catalogue in terms of size and location. The earthquakes caused damage to thousands of traditionally built houses and triggered hundreds of landslides, which were the main causes of fatalities. The earthquakes have clearly demonstrated trends of increasing seismic risk in El Salvador due to rapid population expansion in areas of high shaking and landslide hazard, exacerbated by deforestation and uncontrolled urbanisation. The institutional mechanisms required for the control of land use and building practice are very weak and present a major obstacle to risk mitigation. 相似文献
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高层钢框架-支撑结构二阶非线性随机地震响应分析 总被引:1,自引:0,他引:1
针对常用的高层钢框架-支撑结构,考虑材料非线性和几何非线性,建立了框架部分、支撑部分的二阶动力分析模型。用等效线性方法对结构进行非线性随机地震响应分析,结合工程算例,论述不同场地土、不同层数、不同支撑情况下,二阶效应对结构地震响应统计量的影响。 相似文献
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One of the main factors that affects the performance of MLP neural networks trained using the backpropagation algorithm in mineral-potential mapping isthe paucity of deposit relative to barren training patterns. To overcome this problem, random noise is added to the original training patterns in order to create additional synthetic deposit training data. Experiments on the effect of the number of deposits available for training in the Kalgoorlie Terrane orogenic gold province show that both the classification performance of a trained network and the quality of the resultant prospectivity map increasesignificantly with increased numbers of deposit patterns. Experiments are conducted to determine the optimum amount of noise using both uniform and normally distributed random noise. Through the addition of noise to the original deposit training data, the number of deposit training patterns is increased from approximately 50 to 1000. The percentage of correct classifications significantly improves for the independent test set as well as for deposit patterns in the test set. For example, using ±40% uniform random noise, the test-set classification performance increases from 67.9% and 68.0% to 72.8% and 77.1% (for test-set overall and test-set deposit patterns, respectively). Indices for the quality of the resultant prospectivity map, (i.e. D/A, D × (D/A), where D is the percentage of deposits and A is the percentage of the total area for the highest prospectivity map-class, and area under an ROC curve) also increase from 8.2, 105, 0.79 to 17.9, 226, 0.87, respectively. Increasing the size of the training-stop data set results in a further increase in classification performance to 73.5%, 77.4%, 14.7, 296, 0.87 for test-set overall and test-set deposit patterns, D/A, D × (D/A), and area under the ROC curve, respectively. 相似文献
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库尔勒数字地震台台基噪声分析 总被引:1,自引:0,他引:1
选取库尔勒地震台FBS—3数字地震仪不同时段的无震记录资料,运用傅里叶变换对其台基噪声进行频谱分析,并计算台基的平均噪声水平及仪器的实际动态范围。库尔勒地震台数字地震仪台基噪声主要来自随机干扰,噪声频段相对稳定,噪声幅度随时段有所变化。观测系统实际动态范围符合数字地震仪架设的要求。 相似文献
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