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陆路交通工程典型构筑物最优勘察技术组合的智能决策方法

韩兆阳 张国华 马彩霞 陈自强

安全与环境工程2026,Vol.33Issue(2):54-67,14.
安全与环境工程2026,Vol.33Issue(2):54-67,14.DOI:10.13578/j.cnki.issn.1671-1556.20231223

陆路交通工程典型构筑物最优勘察技术组合的智能决策方法

Intelligent decision-making method for optimal survey technique combination for typical structures in land transportation engineering

韩兆阳 1张国华 2马彩霞 3陈自强4

作者信息

  • 1. 中国地质大学(武汉)地质探测与评估教育部重点实验室,湖北武汉 430074
  • 2. 中国地质大学(武汉)地质探测与评估教育部重点实验室,湖北武汉 430074||中国地质大学(武汉)工程学院,湖北武汉 430074
  • 3. 湖北第二师范学院艺术学院,湖北武汉 430205
  • 4. 中国地质大学(武汉)工程学院,湖北武汉 430074
  • 折叠

摘要

Abstract

In order to integrate various types of survey techniques for land transportation engineering,and realize intelligent decision-making for optimal survey technique combination,the survey complexity grading standard for typical structures was established based on different survey stages,different types of engineering structures and geological complexity.Then,the process of target-based survey technique architecture creation,survey technique network extraction,and survey technique combination generation was designed,and through multi-objective optimization and comprehensive evaluation of these technique combinations,the optimal survey technique combination result was obtained.Finally,the proposed method was validated through practical engineering cases.The results demonstrate that the optimal survey technique combination obtained by intelligent decision-making can meet the survey task requirements in terms of applicability,efficiency and economy.This intelligent decision-making method can provide decision support for targeted survey of land transportation infrastructure.

关键词

陆路交通工程/勘察技术架构/勘察技术网络/勘察技术组合/多目标优化/智能决策方法

Key words

land transportation engineering/survey technique architecture/survey technique network/survey technique combination/multi-objective optimization/intelligent decision-making method

分类

资源环境

引用本文复制引用

韩兆阳,张国华,马彩霞,陈自强..陆路交通工程典型构筑物最优勘察技术组合的智能决策方法[J].安全与环境工程,2026,33(2):54-67,14.

基金项目

国家重点研发计划项目(2021YFB2600402) (2021YFB2600402)

安全与环境工程

1671-1556

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