Abstract
In order to improve the prediction accuracy of foundation pit deformation, an improved optimization algorithm of supply and demand-exponential power product foundation pit deformation prediction model (ISDO-EPP model) is proposed. Through six standard test functions and three application examples, the optimization ability of the ISDO algorithm is verified, and the optimization results are compared with those of basic supply demand optimization algorithm (SDO), whale optimization algorithm (WOA), grey wolf optimization algorithm (GWO), moth swarm algorithm (MSA), and particle swarm optimization algorithm (PSO). Taking the settlement prediction of three foundation pits as an example, the delay time and embedding dimension of each case are determined by autocorrelation function method and false nearest neighbor method, and input and output vectors are constructed to train and predict each model. The results show that the search ability of the ISDO algorithm is better than that of SDO and other five algorithms, and the ISDO algorithm has better search accuracy, global search ability, and robustness. The absolute values of average relative errors of the ISDO-EPP model for three cases are 0.73%, 3.36%, and 1.33%, respectively, which are better than ISDO-SVM and ISDO-BP models. It shows that the ISDO algorithm can effectively optimize the parameters of the EPP model, and the ISDO-EPP model is feasible and effective for deformation prediction.
Highlights
Improving the prediction accuracy of foundation pit deformation is of great significance for judging the stability of foundation pit, predicting the damage degree of surrounding buildings, and scientifically grasping the future deformation trend of foundation pit
The methods used in deformation prediction include grey prediction method [1, 2], regression method [3, 4], extreme learning machine method [5, 6], support vector machine method [7, 8], artificial neural network method [9,10,11], and combination prediction method [12, 13], all of which have achieved certain prediction effect in the application of foundation pit deformation prediction, but there are some shortcomings: the grey prediction method has a high degree of dependence on the original data, and the short-term prediction effect is poor
In order to further improve the accuracy of foundation pit deformation prediction and expand the foundation pit deformation prediction model and method, based on the exponential power product relationship between foundation pit deformation prediction factors and influence factors [12], an improved supply-demand-based optimization algorithm Exponential power product (EPP) foundation pit deformation prediction model (ISDOEPP model) is proposed, In order to verify the feasibility and effectiveness of the improved supply and demand optimization (ISDO)-EPP model in foundation pit deformation prediction, three examples of foundation pit deformation prediction in references [31,32,33] are used to test the model
Summary
Improving the prediction accuracy of foundation pit deformation is of great significance for judging the stability of foundation pit, predicting the damage degree of surrounding buildings, and scientifically grasping the future deformation trend of foundation pit. Exponential power product (EPP) is a forecasting model based on the exponential power product relationship between forecasting factors and some influence factors It has good fitting and forecasting effect for high-dimensional and nonlinear systems, but its disadvantage lies in the reasonable selection of index parameters of influence factors. Based on fuzzy membership function and expert scoring method, Lan et al [17] determined the risk level of deep foundation pit construction. Zhao et al [19] combined rough set and prior knowledge and determined the weight of safety evaluation index for deep foundation pit construction of subway station. Guo et al [20] used the expert investigation method to determine the evaluation index affecting the safety of subway deep foundation pit construction and used fuzzy mathematics to determine the safety level. In order to further improve the accuracy of foundation pit deformation prediction and expand the foundation pit deformation prediction model and method, based on the exponential power product relationship between foundation pit deformation prediction factors and influence factors [12], an improved supply-demand-based optimization algorithm EPP foundation pit deformation prediction model (ISDOEPP model) is proposed, In order to verify the feasibility and effectiveness of the ISDO-EPP model in foundation pit deformation prediction, three examples of foundation pit deformation prediction in references [31,32,33] are used to test the model
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