水力发电学报2025，Vol.44Issue(3)：109-118,10.DOI:10.11660/slfdxb.20250310
考虑弃真和纳伪问题的压实质量抽样方案优化方法
Optimization method for sampling schemes of compaction quality assurance considering false-negative and false-positive problems
摘要
Abstract
Under the current regulation system,the statistical model based on attribute sampling is a common method for the quality assurance of earth-rockfill dam compaction;its key indicator is the specific threshold of density defect as is usually recommended.However,a statistical model is inevitably faced with two statistical errors-a false-negative problem and a false-positive problem.A careful examination of the optimization method of sampling schemes is necessary for strict quality assurance.This paper develops two improved models based on different risk criteria-featuring in consumers first,and risk balancing of both parties for the risk appetite of contractor and consumer respectively.And a Monte Carlo based simulator is provided,which can achieve significant improvement on attribute sampling by combining with a space optimization algorithm.Application to an engineering case verifies the practical effect of our optimization method.This is a promising method for ensuring the rights and interests of both parties,through reducing the two statistical errors and limiting the impact from the spatial correlation of samples.关键词
施工质量控制/土石坝/压实质量/计数抽样/样本容量/优化方法Key words
construction quality control/earth-rockfill dam/compaction quality/attribute sampling/sample size/optimization method分类
水利科学引用本文复制引用
王友乐,缪正建,王峰,杨蒙,钟翔熹..考虑弃真和纳伪问题的压实质量抽样方案优化方法[J].水力发电学报,2025,44(3):109-118,10.基金项目
长江勘测规划设计研究有限责任公司自主创新项目(CX2021Z56 （）
CX2023S024) （）
