.png){kind=icon}
返回
New optimization algorithm for optimal spatial sampling during non-destructive testing of concrete structures
.png){kind=icon}
PRE
AI
DOI：10.1016/j.engstruct.2015.01.014.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Non-destructive Testing (NOT) techniques are essential in order to assess properties or detect anomalies (cracks, pathologies, etc.) in concrete during the diagnosis of structures. However, due to budget limitations, an optimal methodology to estimate the integrity of a structure at minimum cost is required. This paper presents a spatial optimization of NDT measurements (ultrasound) based on their spatial correlation. The optimization is performed in two steps. First, the relationship between the number of measurements organized in a regular grid and the fitness function value are determined using spatial interpolation (kriging method). Then, using an Optimization Spatial Sampling Method developed for this study (OSSM), the fitness function is minimized by changing the positions of a chosen number of NOT measurements. The theoretical development and the results obtained with both simulated and real data are presented and discussed. (C) 2015 Elsevier Ltd. All rights reserved.
Keyword:
NDT
Optimization
Concrete structure
Diagnosis
Spatial variability
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.4
论文数:
2.1W
被引数:
8.7W
机构
引用论文
Reduction of soil water spatial sampling density using scaled semivariograms and simulated annealing.png)
GEODERMA
GEODERMAIF6.6
PREAI
分享收藏
查看更多内容