首页> 外文会议>NATO Advanced Research Workshop on Protection of Civilian Infrastructure from Acts of Terrorism; 20040527-29; Moscow(RU) >VULNERABILITY ESTIMATION OF HIGH-RISE STRUCTURES IN CASE OF NON-REGULAR DYNAMIC ACTIONS BY METHODS OF STATISTICAL SIMULATION
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VULNERABILITY ESTIMATION OF HIGH-RISE STRUCTURES IN CASE OF NON-REGULAR DYNAMIC ACTIONS BY METHODS OF STATISTICAL SIMULATION

机译:统计仿真方法在不规则动力作用下高层结构的易损性估算

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Development of methods of safety assessment of structures relative to non-regular natural, technogenic and terrorist influences of high intensity presents one of urgent scientific-technical problems. The dynamic reaction of structures under the action of extreme loads is highly nonlinear. The numerical statistical simulation appears to be the only way of vulnerability estimation. To reduce the computer modeling time an efficient Monte-Carlo simulation technique is applied for the estimation of failure probabilities. The method is based on splitting of samples at the stage of advance of sequential levels of viability on number of independently simulated samples. That makes possible to increase the number of failures for samples of relatively small volume and essentially reduce the time of statistical simulation. The models of high-rise structures, taking into account damage accumulation, development of inelastic deformations, large displacements, total or partial collapse, mutual pounding of closely-spaced structures are developed. Introduction into structural models of the most important non-linear factors allowed to take into account various mechanisms of structural collapse. The method for estimating the risk functions, based on the use of the developed models of high-rise structures together with algorithms of statistical simulation is suggested.
机译:相对于高强度的非常规自然,技术和恐怖影响,结构安全性评估方法的发展提出了迫切的科学技术问题。结构在极端载荷作用下的动态反应是高度非线性的。数值统计模拟似乎是脆弱性估计的唯一方法。为了减少计算机建模时间,将有效的蒙特卡洛仿真技术应用于故障概率的估计。该方法基于在对独立模拟的样本数量进行连续的生存能力水平提升阶段的样本拆分。这使得增加相对较小体积的样本的失败次数成为可能,并实质上减少了统计仿真的时间。在考虑到损伤累积,非弹性变形的发展,大位移,全部或部分塌陷,紧密间隔的结构相互碰撞的情况下,开发了高层结构模型。将最重要的非线性因素引入结构模型可以考虑到各种结构坍塌机理。建议使用已开发的高层结构模型以及统计模拟算法来估计风险函数。

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