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灰色GM(1,l)和Verhulst模型在吹填土地基沉降中的应用
引用本文:韩鹏,朱平,张文振,陈少青.灰色GM(1,l)和Verhulst模型在吹填土地基沉降中的应用[J].港工技术,2014(1):52-56.
作者姓名:韩鹏  朱平  张文振  陈少青
作者单位:天津大学建筑工程学院,天津300072
摘    要:在利用灰色GM(1,l)和Verhulst模型预测真空预压加固吹填土地基的最终沉降量时,建模序列直接影响预测结果的精度。结合某吹填土地基加固工程的沉降监测数据,探讨监测序列长度、建模序列长度对上述2种模型最终沉降量预测值及预测精度的影响,总结出不同模型预测地基最终沉降量时建模序列的选取规律。研究结果表明,上述2种模型预测地基最终沉降量的误差均小于1.0%,灰色GM(1,l)模型的适应性更好。

关 键 词:灰色GM(1  l)模型  Verhulst模型  吹填土地基  最终沉降量  预测  grey  GM  model(1  1)

Application of Grey GM(1,1)and Verhulst Model to Dredger Fill Foundation Settlement
Han Peng,Zhu Ping,Zhang Wenzhen,Chen Shaoqing.Application of Grey GM(1,1)and Verhulst Model to Dredger Fill Foundation Settlement[J].Port Engineering Technology,2014(1):52-56.
Authors:Han Peng  Zhu Ping  Zhang Wenzhen  Chen Shaoqing
Institution:(School of Civil Engineering, Tianjin University, Tianjin 300072, China)
Abstract:When grey GM(1,1) and Verhulst models are used to predict final settlement of dredger fill foundation reinforced by vacuum preloading method,the adopted modeling sequence affects directly the accuracy of prediction results. The settlement monitoring data on dredger fill foundation reinforcement are adopted to discuss the impact of the monitoring sequence length and the modeling sequence length on the accuracies of final settlement prediction values by applying the above two models. It is summarized the selection rule of modeling sequence for predicting final settlement with different models. The research results show that the above two models are able to predict final foundation settlement with the error less than 1.0%. In addition,grey GM(1,1)model is of better adaptability.
Keywords:Verhulst model  dredger fill foundation  final settlement  prediction
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