首页|基于知识系统的岩土工程勘察参数预测

基于知识系统的岩土工程勘察参数预测

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为了评估通过岩土勘察正确描述建筑工地的状况,本文提出一个岩土工程勘察模型,即自适应网络模糊推理系统(ANIS).该模糊推理系统考虑了几个输入参数的影响,计算了等效勘察比.开发的模型可考虑了项目因素,这些因素的评级从1到10,可用作工程师的系统决策工具评估勘察点的数量,以正确描述建筑工地的岩土工程状况,最后通过一个案例研究证明了提出方法的有效性.
Prediction of Geotechnical Engineering Survey Parameters Based on Knowledge Systems
In order to evaluate the correct description of the condition of construction sites through geotechnical investigation,this paper proposes a geotechnical engineering investigation model,namely an adaptive network fuzzy inference system.The fuzzy inference system considers the influence of several input parameters and calculates the equivalent research ratio.And the developed model can consider project factors,with ratings ranging from 1 to 10,which can be used as a system decision-making tool for engineers to evaluate the number of survey points and accurately describe the geotechnical conditions of construction sites.And the effectiveness of the proposed method was demonstrated through a case study.

geotechnical engineeringsurveyknowledge systemparameter prediction

王维重

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沈阳建材地质工程勘察院有限公司,辽宁 沈阳

岩土工程 勘察 知识系统 参数预测

2024

科学技术创新
黑龙江省科普事业中心

科学技术创新

影响因子:0.842
ISSN:1673-1328
年,卷(期):2024.(9)
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