【摘要】 地震影响系数是地震安全评价的一个重要参数,由于受地下岩体条件影响,地震影响系数的确定在很大程度上具有不确定性,传统方法得到的地震影响场难以满足城市和重大工程抗震的要求,因此,地震影响场的不确定性校正是城市和工程抗震的一个必要环节。通过对地下岩体裂缝分布的数值模拟,得到基岩裂缝和地下能量等指标的分布。进而应用人工神经网络方法,确定基岩裂缝、能量、位移等指标的分布与地震影响系数之间的关系,探讨基岩条件对地震影响系数的影响,得到地震影响系数计算模型。计算了唐山市地震影响场,分析了计算结果,并对城市规划和工程建设提出了几点建议。更多还原

【Abstract】 Earthquake affecting coefficient is one of the most important factors for earthquake security evaluation. Because of the influence of underground rock conditions, it is very difficulty to determine earthquake affecting coefficient, and the earthquake affecting field, which come from traditional methods, couldn抰 meet the demand of earthquake resistance in city and engineering construction. Therefore, the precise emendation of earthquake affecting field is necessory. By the numerical simulation of underground rock fracture, the distribution of energy and fracture is predicated, furthermore, neural network method is applied. The relation between earthquake affecting coefficient and energy, migration, fracture of undergroud rock is determined. The influence of underground rock condition is discussed. The calculating model of earthquake affecting coefficient is constructed. As an example, the precise earthquake affecting field of Tangshan city is calculated. Some suggestions for city planning and engineering construction are given.更多还原