基于遗传算法考虑附加荷载刚性挡墙被动土压力计算
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TU432

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河南省科技攻关项目(202102310547);河南省科技攻关项目(182102310721);国家自然科学基金青年(41902266)。


Genetic algorithm-based calculation of passive earth pressure of rigid retaining wall considering additional load
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    摘要:

    为了能够求解挡墙后黏土滑裂面为对数螺旋组合面,同时能够考虑到填土上有附加荷载及填土面倾斜工况下的被动土压力,通过在图解法中加入了附加荷载及填土面倾斜的影响,同时基于遗传算法进行了被动土压力的求解公式推导,并采用算例对两种方法进行了验证。研究结果表明:遗传算法计算结果与试验值比较,误差为1.4%~3.3%,和试验值接近。作图法和遗传算法两种方法计算所得结果非常接近,作图法与遗传算法比值为1.023~1.035。可见:当考虑挡墙背后填土有均布荷载或填土面倾斜时,作图法和遗传算法两种方法计算所得结果非常接近,但作图法十分繁琐,计算需要耗费大量时间,遗传算法程序简单易用,更利于在工程中应用。

    Abstract:

    Effects of additional load and inclined filling surface were introduced into the graphing method, based on which the passive earth pressure of the rigid retaining wall was calculated. Meanwhile, the genetic algorithm was employed to deduce the solution formula of the passive earth pressure. Then, results of these two methods were verified by a calculation example. Compared with the experimental value, the genetic algorithm-based calculation presents a small error of 1.4% ~ 3.3%, which is very close to the result of the graphing method. Specifically, the calculated passive earth pressure using the graphing method is 1.023 ~ 1.035 times of that using the genetic algorithm. Therefore, it is safe to conclude that results of the two methods share high similarity when they are used to calculate the passive earth pressure of the rigid retaining wall under the influences of additional load and inclined filling surface. However, the genetic algorithm-based method is suggested to be optimal in the engineering application due to its much simpler and easier use as well as its higher efficiency than the graphing method.

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谢晓鹏,窦国涛,王娟,等. 基于遗传算法考虑附加荷载刚性挡墙被动土压力计算[J]. 科学技术与工程, 2021, 21(27): 11725-11733.
Xie Xiaopeng, Dou Guotao, Wang Juan, et al. Genetic algorithm-based calculation of passive earth pressure of rigid retaining wall considering additional load[J]. Science Technology and Engineering,2021,21(27):11725-11733.

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历史
  • 收稿日期:2020-06-17
  • 最后修改日期:2020-12-06
  • 录用日期:2020-08-10
  • 在线发布日期: 2021-09-26
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