基于D-S证据理论的土料压实质量多源信息融合评估方法
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(1.天津大学水利工程智能建设与运维全国重点实验室;2.天津水务投资集团有限公司;3.天津市水利工程集团有限公司 )

作者简介:

杨钢(1996—),男,博士研究生,主要从事大型工程数字化施工研究。E-mail:y329544849@163.com

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基金项目:

国家自然科学基金面上项目(52279136)


Multi-source information fusion evaluation method of soil compaction quality based on D-S evidence theory
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Affiliation:

(1.StateKey Laboratory of Hydraulic Engineering Intelligent Construction and Operation, Tianjin University; 2.TianjinWater Investment Group Co., Ltd.; 3.Tianjin Water Conservancy Engineering Group Co., Ltd.)

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    摘要:

    为准确评估围坝土料压实质量,提出了一种基于碾轮加速度时域和频域等多源信息融合的压实质量综合评估方法。分别建立了单位体积压实功、频域指标CV及时频域指标CWT-THD等不同指标与土料压实度之间的定量关系模型;以D-S证据理论为信息融合框架,结合施工实际及Murphy规则对3种指标的基本概率分配值求解与冲突证据融合进行了优化。实例验证结果表明,所提出的方法可提高土料压实质量评价的准确率,避免单一指标评估的片面性,并可用于分析压实质量的空间均匀性,实现对土料压实质量的快速、准确评定。

    Abstract:

    To accurately evaluate the compaction quality of embankment soil materials, a comprehensive assessment method based on multi-source information fusion of roller acceleration data in both the time and frequency domains is proposed. Quantitative relationship models between compaction degree and different indicators, including compaction energy per unit volume, frequency-domain indicator CV, and time-frequency-domain indicator CWT-THD, were established. Utilizing the Dempster-Shafer (D-S) evidence theory as the information fusion framework, the basic probability assignment values of the three indicators and conflicting evidence were optimized through integration with construction practice and Murphy’s rule. The case validation results demonstrate that the proposed method can improve the accuracy of compaction quality evaluation, avoid the limitations of single-indicator assessments, and enable the analysis of spatial uniformity of compaction quality, thereby achieving rapid and accurate evaluation of soil compaction quality.

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杨钢,刘国庆,李洪飞,等.基于D-S证据理论的土料压实质量多源信息融合评估方法[J].水利水电科技进展,2026,45(4):72-78, 92.(Yang Gang, Liu Guoqing, Li Hongfei, et al. Multi-source information fusion evaluation method of soil compaction quality based on D-S evidence theory[J]. Advances in Science and Technology of Water Resources,2026,45(4):72-78, 92.(in Chinese))

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  • 收稿日期:2025-03-20
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  • 在线发布日期: 2026-08-07
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