摘要
泊松曲线是一种精度较高的沉降预测方法,但是它只能在等时空距数据条件下才能使用,在工程实际中观测的数据很难满足这一要求。本研究采用最小二乘法与Lagrange二次插值法将非等时空距数据转化成等时空距数据,并以某高速公路试验段沉降观测数据为例,建立了沉降量泊松曲线预测模型,并与灰色模型、三点法、双曲线法的预测结果及实测结果进行了对比,结果表明,泊松曲线模型的预测沉降量与实际沉降量更接近。
Poisson curve is a accurate method of settlement prediction, but it is used in condition of equal interval data, which is hard to carry out in actual engineering. This paper adopt the least square theory and Lagrange inserting method to turn non-equal interval data to equal interval data. Taking the tested settlement data of an experimental section of one free way as an example, the Poisson curve prediction model of settlement is established and the result is compared with the results of gray prediction model, hyperbola method, three-point method. It shows that the prediction of Poisson curve model is very close to the practical settlement.
出处
《河北农业大学学报》
CAS
CSCD
北大核心
2004年第4期96-99,共4页
Journal of Hebei Agricultural University
关键词
泊松曲线
软土路基
沉降
Poisson curve
soft roadbed
settlement
