Prediction of Ground Settlement Based on Immune Genetic Algorithm

Bi, Gui Quan

doi:10.4028/www.scientific.net/amm.155-156.1056

Cited by 3 publications

(3 citation statements)

References 1 publication

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“…e settlement and deformation are roughly described, not as a reference for the actual construction and maintenance in the later stage. One of the traditional methods for predicting foundation settlement is the numerical analysis method [23]. Combine this model and some related parameters and then get the foundation settlement value we want.…”

Section: Foundation Settlement Prediction Methodmentioning

confidence: 99%

Machine-Learning-Based Road Soft Soil Foundation Treatment and Settlement Prediction Method

Zhai¹

2022

Scientific Programming

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In order to effectively predict the settlement of soft soil foundation, improve the accuracy of road soft soil foundation settlement prediction, and improve the safety of the project, this paper proposes an optimized SVM-AR model and discusses the application scope of the SVM model and the time series AR model, respectively. The SVM-AR model is proposed by combining the respective advantages of the two types of models. Firstly, the prediction method of foundation settlement is analyzed and studied, and then the improved ABC algorithm is used to optimize the SVM model. Secondly, the optimized SVM model is combined with the AR model, the ABC-SVM model is used to predict the trend settlement, and the AR model is used to predict the random settlement and then combined to obtain the predicted settlement. The example verification shows that SVM-AR is more accurate than the SVM model prediction results and better reflects the settlement process of highway soft soil foundation.

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Section: Foundation Settlement Prediction Methodmentioning

confidence: 99%

Machine-Learning-Based Road Soft Soil Foundation Treatment and Settlement Prediction Method

Zhai¹

2022

Scientific Programming

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“…Common soft soil settlement prediction methods include curve-fitting method and system theory method, among which curvefitting method includes hyperbola method, exponential curve method, three-point method, Asaoka method, settlement rate method, Xinye method, etc. [7], and the system theory method includes grey theory method, neural network method, Support Vector Machines (SVM), and its improvement method [8][9][10][11]. Least Squares Support Vector Machines (LSSVM) is one of the improvement methods of SVM, which changes the problem of solving quadratic programming in the optimization problem of SVM into the problem of solving linear equations.…”

Section: Introductionmentioning

confidence: 99%

Research on HC-LSSVM Model for Soft Soil Settlement Prediction Based on Homotopy Continuation Method

et al. 2021

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Prediction of soft soil settlement is an important research topic in the field of civil engineering, and the least square support vector machine is one of the commonly used prediction methods at present. Nonetheless, the existing LSSVM models have problems of low search efficiency in the search process and lack of global optimal solution in the search results. In order to solve this problem, based on the leave-one-out cross-validation method, the homotopy continuation method was used to optimize the LSSVM model parameters, and then the HC-LSSVM model was constructed with the goal of minimizing the sum of squares of the prediction error of the full sample retention one. Finally, the rationality and correctness of the model are verified by engineering application. The results show that the HC-LSSVM model constructed in this study can accurately predict the settlement of soft ground, which is superior to the common LSSVM model and solves the problem that the parameters of LSSVM model cannot be solved optimally. The research results provide a new method for prediction of soft soil settlement.

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“…The damage rate reached 41%. The period of building construction is shortened significantly due to the rapid urban development, but the rapid increase of building load increases the building settlement in later period, which is more obvious in soft soil regions, such as Tianjin, Shanghai, etc [1,2]. Therefore, the complication of soft soil foundation makes the foundation settlement under the effect of upper structure's load becoming complicated, but the differential settlement of foundation under different bases and different structural forms also will change the stress state of the upper structure correspondingly [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Study the Impact of Differential Settlement on Frame Structure through Back-Analysis Method

Jiang

Huang

2013

AMR

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This paper studied the impact of differential settlement of foundation on the inner force of architectural structure by applying back-analysis method. By taking the three-dimensional coactions system of upper structure-piled raft foundation-foundation with different pile length and different raft thickness as the research object, its differential settlement law of foundation under the effect of load was studied, which was combined with the practical measured data to fit the quadratic settlement surface equation of the foundation. The analysis demonstrated that the differential settlement of foundation will change the inner force of upper structure significantly, thus enabling most of construction components to produce great additional axial force, additional shearing force and additional bending moment, especially changing the additional inner force of corner post more evidently.

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Prediction of Ground Settlement Based on Immune Genetic Algorithm

Cited by 3 publications

References 1 publication

Machine-Learning-Based Road Soft Soil Foundation Treatment and Settlement Prediction Method

Machine-Learning-Based Road Soft Soil Foundation Treatment and Settlement Prediction Method

Research on HC-LSSVM Model for Soft Soil Settlement Prediction Based on Homotopy Continuation Method

Study the Impact of Differential Settlement on Frame Structure through Back-Analysis Method

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