新陈代谢GM(1,1)模型在建筑物沉降预测中的应用

山东大学学报(工学版) ›› 2010, Vol. 40 ›› Issue (3): 119-123.

新陈代谢GM(1,1)模型在建筑物沉降预测中的应用

边培松¹,王登杰¹,于少华²

1. 山东大学土建与水利学院, 山东济南 250061; 2. 山东大学校医院, 山东济南 250061

收稿日期:2009-09-11 出版日期:2010-06-16 发布日期:2009-09-11
作者简介:边培松(1986-),男,山东济南人,硕士研究生,主要研究方向为地基基础及加固、建筑安全评估与监控.E-mail: bianpei-song@163.com
基金资助:
邹平县齐星集团资助项目(80436003)

Application of the metabolic GM(1,1) model in forecast of buildings subsidence

BIAN Pei-song1, WANG Deng-jie1, YU Shao-hua2

1. School of Civil Engineering, Shandong University, Jinan 250061, China;
2. Campus Hospital, Shandong University, Jinan 250061, China

Received:2009-09-11 Online:2010-06-16 Published:2009-09-11

摘要/Abstract

摘要：

利用MATLAB7.0软件对原始数据进行等间距处理后,用一次累加数列与原始数列构建微分模型,通过不断去掉旧数据加入新数据,以工程数学为基础,运用灰色理论构建新陈代谢GM(1,1)模型。并以工程实例进行模拟和预测效果检验,将普通GM(1,1)模型和新信息GM(1,1)模型预测效果进行比较,计算和对比结果表明,新陈代谢GM(1,1)模型精度明显高于其它模型,预测效果大大提高。

关键词: 建筑物, 新陈代谢GM(1,1)模型, 沉降预测

Abstract:

In subsidence forecast, after using MATLAB7.0 to make original data to be equal interval and the building differential model through cumulative series and original series, by being based on engineering mathematics and using the grey theory, the metabolic GM(1,1) model was established with the old data being removed when new data was added in. The effect of simulation and prediction was checked relying on an engineering example and was compared with the general GM (1,1) model and the new information GM (1,1) model.Calculation and comparison results showed that the metabolic GM (1,1) model has higher accuracy than other models and forecast effects are greatly increased.

Key words: buildings, metabolic GM(1,1) model, subsidence forecast

边培松1,王登杰1,于少华2. 新陈代谢GM(1,1)模型在建筑物沉降预测中的应用[J]. 山东大学学报(工学版), 2010, 40(3): 119-123.

BIAN Pei-song1, WANG Deng-jie1, YU Shao-hua2. Application of the metabolic GM(1,1) model in forecast of buildings subsidence[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2010, 40(3): 119-123.

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