%0 Journal Article
%T 基于三维土质模型的疏浚吹填工程土料调配优化与应用<br>Optimization Analysis and Application of Soil Allocation for Dredging and Filling Project Based on 3D Soil Model
%A 李明超
%A 张雨新
%A 高伟
%A 秦亮
%J 天津大学学报（自然科学与工程技术版）
%D 2018
%R 10.11784/tdxbz201707067
%X 为了提高疏浚吹填工程土料调配方案设计效率, 优化疏浚吹填工程土料调配过程, 针对疏浚吹填工程土质情况复杂、土料调配过程施工工序多、施工环境复杂且极易受到外界自然条件的影响和限制的特点, 提出了基于三维土质模型的疏浚吹填工程土料调配优化方法．该方法采用基于不同数据来源的三维多精度建模方法, 实现了复杂水下土质条件的三维建模; 基于疏浚吹填工程施工工艺, 综合考虑了疏浚吹填土料在调配过程中所受到的复杂约束条件, 建立了疏浚吹填土料调配平衡优化的数学模型．工程实例应用表明, 该方法能有效对疏浚吹填工程土料调配过程进行分析, 与传统方法对比, 该方法能够确定更优的土料调配规划方案, 有效节约工程成本, 为疏浚吹填工程的调配方案设计提供了新的手段．<br>In order to improve the design efficiency of soil allocation scheme and optimize soil allocation process in dredging and filling engineering，considering complex soil condition，complex construction environment and a large number of construction processes and soil allocation process of dredging and filling engineering easily affected and restricted by the external natural conditions，a method of soil allocation optimization for dredging and filling engineering based on 3D soil model is proposed. A 3D multi precision modeling method based on different data sources is used and the 3D modeling of complex underwater soil conditions is realized in this method. Taking the complex constraint conditions in the process of soil allocation，a mathematical model of soil optimization allocation in dredging and filling engineering is established based on the construction technology of dredging and filling engineering. The application in practice shows that the soil allocation process in dredging and filling engineering can be effectively analyzed by this method. Compared with the traditional method，this method can determine a better plan of soil allocation，reduce engineering cost and provide a new method for the design of soil allocation in dredging and filling engineering
%K 疏浚吹填
%K 三维土质模型
%K 土料动态调配
%K 施工过程
%K 优化平衡&lt
%K br&gt
%K dredging and filling
%K 3D soil model
%K dynamic soil allocation
%K construction process
%K optimum balancing
%U http://journals.tju.edu.cn/zrb/oa/darticle.aspx?type=view&id=201807003