Soil Nailing Reliability Optimization Design of Foundation Pit Based on Response Surface Method

2014 ◽  
Vol 556-562 ◽  
pp. 4655-4659
Author(s):  
Jing Cao ◽  
Tian Liu ◽  
Hai Ming Liu
Keyword(s):  
Response Surface ◽  
Optimization Design ◽  
Failure Modes ◽  
Soil Nailing ◽  
Foundation Pit ◽  
Geotechnical Parameters ◽  
Soil Nail ◽  
Alternating Conditional Expectation ◽  
Surface Method ◽  
The Monte Carlo Method

Aiming at the randomness and variability of geotechnical parameters, the uniform test and nonparametric regression technique of alternating conditional expectation (ACE) is used to establish the efficiency response surface. On the basis of response surface, the Monte Carlo method was used to research the reliability optimal design and analysis method of soil nailing structure. Considering various failure modes of soil nailing structure, and setting the system failure probability as constraint, and per linear meter length of soil nail as the objective function, than to establish the reliability optimal model of soil nailing structure of foundation pit with the indexes of soil shear strength c, φ and ground overload as random variables. Through an engineering case analysis, the feasibility and effectiveness of this method are verified. Finally, the superiority of the proposed method is proved compared with the deterministic method.

Soil Nailing Optimization Design of Foundation Pit Based on Response Surface of SVM Technology

2013 ◽  
Vol 743 ◽  
pp. 27-30
Author(s):  
Tian Liu ◽  
Jing Cao ◽  
Hai Ming Liu ◽  
Hui Min Zhao
Keyword(s):  
Predictive Model ◽  
Response Surface ◽  
Optimization Design ◽  
Optimal Solution ◽  
Gradient Algorithm ◽  
Support Vector ◽  
Soil Nailing ◽  
Global Optimal Solution ◽  
Foundation Pit ◽  
Global Optimal

In order to study the soil nail optimization of foundation pit and obtain the global optimal solution, this paper establishes the predictive model of response surface by combining uniform test design(UD) and the support vector machine(SVM) technology. In order to avoid the disadvantages of large amount of calculation and low efficiency in heuristic algorithm, and to gain the optimal model of the explicitly analytical function in gradient algorithm, based on the predictive model of response surface under the constraint conditions, the foundation pit soil nailing is optimized through the application of enumerative algorithm. Through an engineering example, it is showed that is a time-saving method and don't need explicitly analytical model. Meanwhile, it can obtain the global optimal solution.

Application of a new local effective constrained response surface method in structural reliability optimization design

2019 ◽  
Vol 36 (3) ◽  
pp. 1055-1078 ◽  
Author(s):  
Hailiang Su ◽  
Fengchong Lan ◽  
Yuyan He ◽  
Jiqing Chen
Keyword(s):  
Response Surface ◽  
Response Surface Method ◽  
Optimization Design ◽  
Structural Reliability ◽  
Reliability Optimization ◽  
Content Type ◽  
Meta Model ◽  
Proxy Model ◽  
Surface Method ◽  
Sampling Points

Purpose Meta-model method has been widely used in structural reliability optimization design. The main limitation of this method is that it is difficult to quantify the error caused by the meta-model approximation, which leads to the inaccuracy of the optimization results of the reliability evaluation. Taking the local high efficiency of the proxy model, this paper aims to propose a local effective constrained response surface method (LEC-RSM) based on a meta-model. Design/methodology/approach The operating mechanisms of LEC-RSM is to calculate the index of the local relative importance based on numerical theory and capture the most effective area in the entire design space, as well as selecting important analysis domains for sample changes. To improve the efficiency of the algorithm, the constrained efficient set algorithm (ESA) is introduced, in which the sample point validity is identified based on the reliability information obtained in the previous cycle and then the boundary sampling points that violate the constraint conditions are ignored or eliminated. Findings The computational power of the proposed method is demonstrated by solving two mathematical problems and the actual engineering optimization problem of a car collision. LEC-RSM makes it easier to achieve the optimal performance, less feature evaluation and fewer algorithm iterations. Originality/value This paper proposes a new RSM technology based on proxy model to complete the reliability design. The originality of this paper is to increase the sampling points by identifying the local importance of the analysis domain and introduce the constrained ESA to improve the efficiency of the algorithm.

Prestressed Anchor Bolt Impact on the Deformation of Composite Soil Nailing

2013 ◽  
Vol 353-356 ◽  
pp. 11-15
Author(s):  
Deng Qun Wang ◽  
Yan Peng Zhu
Keyword(s):  
Axial Force ◽  
Horizontal Displacement ◽  
Vertical Displacement ◽  
Soil Nailing ◽  
Foundation Pit ◽  
Obvious Effect ◽  
Anchor Bolt ◽  
Soil Nail ◽  
Finite Element Software ◽  
The Impact

Finite element software was employed to establish a model to simulate the compound soil nailing. The model simulates the process of constructing prestressed compound soil nailing. Compared the condition prestressed with no prestress, analyzed the Impact of prestress anchor on the deformation in the process of construction and the effect on axial force of soil nail. Applying prestress is able to control the horizontal displacement obviously, but has not obvious effect on vertical displacement, especially place the anchor bolt at the lower part of the slope. In the process of construction, prestress has an advance effect on the deformation of foundation pit and the axial force of soil nails near the anchor bolt.

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