Rapid entropy-based detection and properties measurement of concrete spalling with machine vision for post-earthquake safety assessments

Stephanie German; Ioannis Brilakis; Reginald DesRoches

首页> 外文期刊>Advanced engineering informatics >Rapid entropy-based detection and properties measurement of concrete spalling with machine vision for post-earthquake safety assessments

【24h】

Rapid entropy-based detection and properties measurement of concrete spalling with machine vision for post-earthquake safety assessments

机译：基于熵的基于机器视觉的混凝土剥落快速检测和性能测量，用于地震后安全评估

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

The current procedures in post-earthquake safety and structural assessment are performed manually by a skilled triage team of structural engineers/certified inspectors. These procedures, and particularly the physical measurement of the damage properties, are time-consuming and qualitative in nature. This paper proposes a novel method that automatically detects spalled regions on the surface of reinforced concrete columns and measures their properties in image data. Spalling has been accepted as an important indicator of significant damage to structural elements during an earthquake. According to this method, the region of spalling is first isolated by way of a local entropy-based thresholding algorithm. Following this, the exposure of longitudinal reinforcement (depth of spalling into the column) and length of spalling along the column are measured using a novel global adaptive thresholding algorithm in conjunction with image processing methods in template matching and morphological operations. The method was tested on a database of damaged RC column images collected after the 2010 Haiti earthquake, and comparison of the results with manual measurements indicate the validity of the method.

机译：地震后安全和结构评估中的当前程序是由结构工程师/经认证的检验师的熟练分类小组手动执行的。这些程序，尤其是损坏属性的物理测量，本质上既费时又定性。本文提出了一种新方法，该方法可以自动检测钢筋混凝土柱表面的剥落区域并在图像数据中测量其属性。剥落已被认为是地震期间结构元素受到重大破坏的重要指标。根据该方法，首先通过基于局部熵的阈值算法将剥落区域隔离。然后，使用新型的全局自适应阈值算法结合模板匹配和形态学操作中的图像处理方法，测量纵向钢筋的暴露量（进入柱的剥落深度）和沿柱的剥落长度。该方法在2010年海地地震后收集的受损RC柱图像数据库中进行了测试，结果与手动测量结果的比较表明了该方法的有效性。

著录项

来源
《Advanced engineering informatics》 |2012年第4期|846-858|共13页
作者
Stephanie German; Ioannis Brilakis; Reginald DesRoches;
展开▼
作者单位

School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, CA 30332, USA;

Laing O'Rourke Centre for Construction Engineering and Technology, University of Cambridge, Cambridge CB2 1PZ, UK;

School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, CA 30332, USA;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词
spalling detection; property retrieval; post-earthquake reconnaissance; machine vision; image processing; reinforced concrete;

机译：剥落检测;财产取回;地震后侦察;机器视觉图像处理;钢筋混凝土;

相似文献

外文文献
中文文献
专利

1. Machine Learning-Driven Assessment of Fire-Induced Concrete Spalling of Columns [J] . M. Z. Naser, Hadi Salehi ACI Materials Journal . 2020,第6期

机译：机器学习驱动的火灾诱导混凝土剥落的评估
2. Data-driven post-earthquake rapid structural safety assessment [J] . J. A. Goulet, C. Michel, A. Der Kiureghian Earthquake Engineering & Structural Dynamics . 2015,第4期

机译：数据驱动的地震后快速结构安全评估
3. Visual retrieval of concrete crack properties for automated post-earthquake structural safety evaluation [J] . Zhenhua Zhu, Stephanie German, Ioannis Brilakis Automation in construction . 2011,第7期

机译：视觉检索混凝土裂缝特性，以自动进行震后结构安全性评估
4. Comprehensive property retrieval and measurement of concrete spalling using machine vision for post-earthquake safety assessments [C] . Stephanie German, Ioannis Brilakis, Reginald DesRoches Conference on sensors and smart structures technologies for civil, mechanical, and aerospace systems . 2012

机译：使用机器视觉对震害进行综合评估并测量混凝土剥落的震后安全性
5. Rapid Post-earthquake Structural Assessment Using Either Peak Floor Acceleration or Displacement Monitoring [D] . Aloqaily, Wael. 2019

机译：快速地震后结构评估，使用峰楼层加速或排量监测
6. Effects of Plastic Waste on the Heat-Induced Spalling Performance and Mechanical Properties of High Strength Concrete [O] . Abrahão Bernardo Rohden, Jessica Regina Camilo, Rafaela Cristina Amaral, 2020

机译：塑料废弃对高强度混凝土散热性能和力学性能的影响
7. Mechanical properties of various concrete after high temperature exposure Mechanical property of various types of concrete after high temperature exposure is investigated. Considering compressive strength requirement for a vertical element in high rise building, concrete specimens with various design strengths of 35, 80, 100, and 150 MPa were tested. Particularly, the influence of incorporated steel fiber on fire resistance is of interest in this study. Experimental results show that the fire resistance depends on the design strength and steel fiber content. Normal strength concrete (NSC) of a design strength of 35 MPa or high performance concrete (HPC) of 80-100 MPa does not spall when exposed to 100-400 °C of temperature. However, an explosive spalling occurs at 300 °C when the HPCs contain 1 vol. of steel fiber. Ultra-high performance concrete (UHPC) of a design strength of 150 MPa and 1.5 vol. of steel fiber also shows dramatic spalling at 300 °C. The experimental results found in this study can contribute to a better understanding of the behaviors of HPC and UHPC under fire and the role of steel fiber on the fire resistance. [O] . 2017

机译：研究了高温暴露后各种混凝土高温曝光机械性能各种混凝土的机械性能。考虑到高层建筑中垂直元件的抗压强度要求，测试了35,80,100和150MPa各种设计强度的混凝土试样。特别是，在这项研究中，掺入钢纤维对耐火性的影响。实验结果表明，耐火性取决于设计强度和钢纤维含量。在暴露于100-400°C的温度时，80-100MPa的设计强度为35MPa或高性能混凝土（HPC）的正常强度混凝土（NSC）不会击落。然而，当HPC含有1体积的钢纤维的百分比时，爆炸性剥落发生在300℃。超高性能混凝土（UHPC）的设计强度为150 MPa和1.5 Vol。钢纤维的百分比也显示出300℃的剧烈剥落。本研究中发现的实验结果可以有助于更好地了解在火灾中的HPC和UHPC的行为以及钢纤维对耐火性的作用。

Rapid entropy-based detection and properties measurement of concrete spalling with machine vision for post-earthquake safety assessments

摘要

著录项

相似文献

相关主题

期刊订阅