Prediction of Soil Creep Deformation Using Unequal Interval Multivariable Grey Model

Abstract

Arch bridges will produce horizontal internal force at arch springing under vertical load. The horizontal internal forces and displacement of abutments have significant influences on structural behavior of arch bridge, which was located at soft soil foundation. One of the effective methods to solve the problem is applied the pre-pushing technique behind abutment by two horizontal anti-slide slab. However, there is soil creep deformation at the arch springing under the long-term vertical load. Therefore, an unequal interval multivariable grey model was established to predict the soil creep deformation. This grey model was extended by a single point and equal interval model. The modeling steps are also proposed in this paper. And then the calculated results by the proposed model will compared with the measured results and the results of Burgers model. The compared results showed that it can precisely and effectively predict the amplitude of the creep deformations.

The prediction of shale gas well production rate based on grey system theory dynamic model GM(1, N)

“…In order to solve these problems, some researchers have deduced the accurate background value of the GM(1, 1) model by using the solution for non-homogeneous forms (Truong and Ahn 2012a, b;Zhou et al 2019a). Because of the validity of the background value transformation method, many scholars have begun to transform the background value of other grey system models, such as the grey power model, the grey Verhulst model (Rajesh 2019), the discrete non-homogeneous model (Cui et al 2013), and the multivariable grey prediction model (Zhi et al 2017). These models have developed forecasting theory to a certain extent, but there are still some problems.…”