测绘通报 ›› 2022, Vol. 0 ›› Issue (1): 79-83.doi: 10.13474/j.cnki.11-2246.2022.0014

• 学术研究 • 上一篇    下一篇

马尔可夫链改进的MMF沉降预测模型及应用

赵亚红1, 王伟娜2, 江培华1, 李佳慧1   

  1. 1. 华北科技学院建筑工程学院, 北京 101601;
    2. 上海城建职业学院数字建造学院, 上海 200438
  • 收稿日期:2021-08-09 修回日期:2021-12-19 发布日期:2022-02-22
  • 作者简介:赵亚红(1982-),女,硕士,副教授,主要研究方向为变形监测与预测。E-mail:neu_zyh@163.com
  • 基金资助:
    河北省自然科学基金(E2019508162);廊坊市科技支撑计划(2020011038;2020011017;2021013088);河北省高等教育教学改革研究与实践项目(2019GJJG465)

An improved MMF subsidence prediction model based on the Markov chain and its application

ZHAO Yahong1, WNAG Weina2, JIANG Peihua1, LI Jiahui1   

  1. 1. Architectural Engineering College, North China Institute of Science and Technology, Beijing 101601, China;
    2. School of Digital Construction, Shanghai Urban Construction Vocational College, Shanghai 200438, China
  • Received:2021-08-09 Revised:2021-12-19 Published:2022-02-22

摘要: 针对地基沉降机理复杂及随机性特点,结合马尔可夫链理论,本文建立了一种马尔可夫链改进的MMF沉降预测模型。首先采用部分实测沉降数据,利用CurveExpert软件拟合MMF模型;然后根据MMF模型预测相对误差大小,并按照马尔可夫理论划分状态区间,构建状态转移概率矩阵,预测下一个沉降量所处的状态,从而得到了马尔可夫链改进的MMF预测值;最后将本文模型应用于深圳滨海大道市政工程软土路基沉降预测中,并对模型的预测效果进行精度分析。结果表明,马尔可夫链改进的MMF模型的预测精度较单一的MMF有明显提高,建模方法合理,可用于类似的工程预测。

关键词: 马尔可夫链, MMF, 地基, 沉降预测, 应用

Abstract: Aiming at the complex and random characteristics of foundation settlement mechanism, an improved MMF settlement prediction model based on Markov chain theory is established. Firstly, the MMF model is fitted by CurveExpert software with some measured data. Then, according to the relative error predicted by the MMF model, the state interval is divided according to Markov theory, and the probability matrix of state transition is constructed to predict the state of the next settlement, thus the MMF prediction value improved based on Markov chain is obtained. Finally, the model is applied to the settlement prediction of shenzhen Binhai road municipal engineering soft soil subgrade, and the prediction accuracy of the model is analyzed. The results show that the prediction accuracy of the MMF model based on Markov chain is significantly higher than the MMF model. The modeling method is reasonable and can be used for similar engineering prediction.

Key words: Markov chain, MMF, foundation, subsidence prediction, application

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