An Optimal Design Method for Retaining Wall Based on Multi-objective Optimization

Abstract

The invention discloses a method for optimal design of a retaining wall based on multi-objective optimization, which includes the following steps: the first step: determine the function positioning; through the previous data, clarify the function positioning of the retaining wall in the engineering project, determine the function objective function and Related variables; Step 2: Determine the order of functions; Optimize the distribution of weights, and use the site evaluation, external loads and other external conditions to prioritize the functions that have been located through expert investigation; Step 3: Determine the judgment conditions ; Step 4: Carry out optimization judgment until all functions are satisfied. The purpose of the present invention is to provide a method for optimal design of retaining walls based on multi-objective optimization, to solve many problems existing in the methods for optimal design of retaining walls in the prior art, to reduce the interference of subjective factors and ensure the accuracy of results. The purpose of improving optimization efficiency.

Description

Technical field [0001] The present invention relates to the field of foundation foundation, specifically to a retaining wall optimization design method based on multi-objective optimization. Background [0002] In the prior art, the design method of retaining wall is mainly divided into the following two types: 1) application of design atlas; 2) trial algorithm; [0003] Among them, the retaining wall test algorithm process is: the first step, select the base position; the second step, the development of the wall section form and size, analysis of the retaining wall load and combination, the retaining wall verification; the third step, the verification results do not meet the specification requirements or the safety factor is too large, then re-formulate the wall section form and size, repeat the above design steps, until it just meets the requirements. Among them, the retaining wall calculation includes: stability calculation (anti-slip stability, anti-overturning stability), st...

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Problems solved by technology

[0006] (1) The research on the optimization of retaining walls mainly focuses on the structural optimization comparison of the same wall type, and there are few comparative studies between different wall types

[0007] (2) The research on the design optimization of retaining walls mainly focuses on the optimization of trial algorithms (such as discussing the sensitivity relationship between checking calculation indicators and structural parameter settings, promoting the development of optimization programs, and discussing the application of intelligent algorithms in structural optimization design) , and other methods to improve the accuracy of calculation methods in design and auxiliary structural facilities, etc., there are few studies on optimization technology routes

[0013] 2) The existing optimal design route is mainly based on the trial algorithm. After the basic position and basic size of the retaining wall are initially determined, the earth pressure calculation, stability check calculation (sliding resistance stability, overturning stability) and strength check calculation (basement stability) are carried out. Bearing capacity, stress ratio and eccentric distance check calculation, section strength check calculation), this method often requires multiple calculations, once a certain step fails to check the calculation, it must be modified and re-calculated, there are many influencing parameters, the calculation workload is large, and the repetitive labor is much. But the retaining wall designed by this method only guarantees the safety of the retaining wall, without considering its economy;

[0016] 5) The fourth step of the existing optimization design technology route, the empirical judgment of conventional body shape, is also a statistical result of data. The sample is not representative enough, which will affect the evaluation of the plan, and its role is relatively weak. If the experience is insufficient, it is equivalent to no such assistance Moreover, experience is always limited, and for individual cases, there may be a possibility of being misjudged beyond the scope of experience;

[0017] 6) The existing optimization design technology route does not compare all commonly used wall types equally. There is a preferential trial calculation wall type that meets both the specification requirements and the empirical judgment of the conventional body shape, so the optimization is terminated in advance, but the actual obtained plan is not true. best possible

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