基于基岩裂缝分布的地震影响场分析
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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。
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.
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.
引文
[1]李小军,彭清,李文忠.设计地震动参数确定中的场地影响考虑[J].世界地震工程,2000,16(4):34-41.
[2]李小军,彭清.不同类别场地地震动参数的计算分析[J].地震工程与工程震动,2001,21(1):29-36.
[3]崔江余,杜修力.重大工程设计地震动确定[J].世界地震工程,2000,16(4):25-28.
[4]黄明利,唐春安,朱万成.岩石破裂过程的数值模拟研究[J].岩石力学与工程学报,2000,19(4):468-471.
[5]陈艳华,朱庆杰,苏幼坡.基于格里菲斯准则的地下岩体天然裂缝分布的有限元模拟研究[J].岩石力学与工程学报,2003,22(3):364-369.
[6]肖和平.地震成灾机制分析[J].中国地质灾害与防治学报,2000,11(4):101-102.
[7]温瑞智,周正华,孙平善等.断层场地地震动分析[J].地震工程与工程震动,2002,22(1):21-27.
[8]顾瑾平,吕培苓,李纲.应力调制与预报研究[J],地震,2000,20(3):15-24.
[9]朱庆杰,姜耀俭,陈艳华等.轮南地区奥陶系天然裂缝的发育机理及其对流体活动的控制[J].中国安全科学学报,2003,13(1):53-58.
[10]朱庆杰,谷延斌,卢时林等.人工神经网络模型在石油资源预测中的应用[J].资源调查与环境,2002,23(4):281-287.
[2]李小军,彭清.不同类别场地地震动参数的计算分析[J].地震工程与工程震动,2001,21(1):29-36.
[3]崔江余,杜修力.重大工程设计地震动确定[J].世界地震工程,2000,16(4):25-28.
[4]黄明利,唐春安,朱万成.岩石破裂过程的数值模拟研究[J].岩石力学与工程学报,2000,19(4):468-471.
[5]陈艳华,朱庆杰,苏幼坡.基于格里菲斯准则的地下岩体天然裂缝分布的有限元模拟研究[J].岩石力学与工程学报,2003,22(3):364-369.
[6]肖和平.地震成灾机制分析[J].中国地质灾害与防治学报,2000,11(4):101-102.
[7]温瑞智,周正华,孙平善等.断层场地地震动分析[J].地震工程与工程震动,2002,22(1):21-27.
[8]顾瑾平,吕培苓,李纲.应力调制与预报研究[J],地震,2000,20(3):15-24.
[9]朱庆杰,姜耀俭,陈艳华等.轮南地区奥陶系天然裂缝的发育机理及其对流体活动的控制[J].中国安全科学学报,2003,13(1):53-58.
[10]朱庆杰,谷延斌,卢时林等.人工神经网络模型在石油资源预测中的应用[J].资源调查与环境,2002,23(4):281-287.
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