Retaining wall optimization design method based on multi-objective optimization

Abstract

The invention discloses a retaining wall optimization design method based on multi-objective optimization. The retaining wall optimization design method comprises the following steps: 1, determining function positioning; determining function positioning of a retaining wall in an engineering project through early-stage data, and determining a function objective function and variables related to thefunction objective function; 2, determining a function sequence; optimizing weight distribution, and conducting function priority sorting on the positioned functions through an expert investigation method according to external conditions such as site evaluation and external loads; 3, determining a judgment condition; and 4, carrying out optimization judgment until all functions are met. The invention aims to provide the retaining wall optimization design method based on multi-objective optimization, so as to solve many problems existing in a retaining wall optimization design method in the prior art, and achieve the purposes of reducing subjective factor interference, ensuring result accuracy and improving optimization efficiency.

Description

technical field [0001] The invention relates to the field of foundations, in particular to an optimal design method for retaining walls based on multi-objective optimization. Background technique [0002] In the prior art, the design methods of the retaining wall are mainly divided into the following two types: 1) apply the design atlas; 2) try the algorithm; [0003] The algorithm process of the retaining wall test is as follows: the first step is to select the base position; the second step is to draw up the section form and size of the wall body, analyze the load and combination of the retaining wall, and carry out the checking calculation of the retaining wall; the third step is to check that the calculation result does not meet the specifications If the requirements or the safety factor is too large, re-draw the section form and size of the wall, and repeat the above design steps until the requirements are just met. Among them, the retaining wall checking calculation i...

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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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