基于拓扑排序的编织土工布孔洞特征分析方法

doi:10.13475/j.fzxb.20211110108

纺织学报 ›› 2023, Vol. 44 ›› Issue (04): 92-99.doi: 10.13475/j.fzxb.20211110108

基于拓扑排序的编织土工布孔洞特征分析方法

唐晓武¹^,²(), 李柯毅¹^,², 赵文芳¹^,², 陈式华³, 林维康¹^,², 梁家馨¹^,²

1.浙江大学滨海和城市岩土工程研究中心, 浙江杭州 310058
2.浙江省城市地下空间开发工程技术研究中心, 浙江杭州 310058
3.浙江省水利河口研究院, 浙江杭州 310020

收稿日期:2021-11-26 修回日期:2022-10-04 出版日期:2023-04-15 发布日期:2023-05-12
作者简介:唐晓武(1966—),男,教授,博士。主要研究方向为工土合成材料,软土地基础处理以及遗址保护。E-mail:tangxiaowu@zju.edu.cn。
基金资助:
国家自然科学基金项目(51779218);浙江省水利科技计划重点项目(RB2027)

Analysis on pore characteristics of braided geotextiles based on topological sorting method

TANG Xiaowu¹^,²(), LI Keyi¹^,², ZHAO Wenfang¹^,², CHEN Shihua³, LIN Weikang¹^,², LIANG Jiaxing¹^,²

1. Research Center of Coastal and Urban Geotechnical Engineering, Zhejiang University, Hangzhou, Zhejiang 310058, China
2. Engineering Research Center of Urban Underground Development of Zhejiang, Hangzhou, Zhejiang 310058, China
3. Zhejiang Institute of Hydraulics & Estuary, Hangzhou, Zhejiang 310020, China

Received:2021-11-26 Revised:2022-10-04 Published:2023-04-15 Online:2023-05-12

摘要/Abstract

摘要：

为解决数字图像法孔洞排序易出错的问题,对编织土工布孔洞特征分析方法进行探究。首先采用拓扑排序对编织土工布数字图像法排序错误进行纠错,然后基于像素统计和最小面积外接矩形(MABR)准确获取各孔洞的面积、长、宽,最后对比数字图像法和拓扑图像法排序结果、面积三维分布图和长宽统计图。结果表明:拓扑排序可纠正数字图像法对不同单位面积质量及拉应变下土工布的排序错误,从而实现土工布孔洞排序的精准获取。拓扑图像法可反映孔洞面积的分布及其在拉伸作用下的变化,实现土工布孔洞面积和任意角度孔洞长宽的大规模精确追踪。

关键词: 编织土工布, 孔洞特征参数, 数字图像法, 拓扑排序, 单向拉应变

Abstract:

Objective It is evident that the traditional digital image methods are prone to errors in sorting pores in braided geotextiles. Current studies have used statistical methods to analyze pore changes, which do not allow the morphological and dimensional changes of each pore to be traced during the tensioning process. The method of characterizing the pores in braided geotextiles is investigated to address this problem.
Method Topological sorting was used to correct the sorting error of braided geotextiles digital image method, and then the area, length, and width of each pore were accurately obtained based on pixel statistics and minimum area bounding rectangle (MABR). Finally, the sorting results of the digital image method and topological image method, three-dimensional area distribution, and length-width statistics diagram are compared.
Results The error rate associated with the digital image method for braided geotextiles in the initial state was found to be the highest, at 19.5% (Fig. 7), and it can be seen that the error rate of the digital image method for all three geotextiles gradually decreases with increased strain. The digital image method was found to produce errors in the ordering of the geotextile pores, which would have an impact on the subsequent experimental analysis and processing, and would not truly reflect the changes in the pore parameters of the braided geotextile during the stretching process. The improved image sorting method based on topological sorting can correct the sorting errors of the digital image method for geotextiles with different masses and tensile strains per unit area, thus achieving accurate acquisition of the sorting of geotextile pores.
The topological image method was used to correct the area of the upper ten pores in the first column on the left side of W₁₅₀(Fig. 6). The area of the pore obtained by the digital image method under different tensile strains was corrected, and accurate tracking of the area was achieved.
The three-dimensional distribution of the area is plotted according to the location and area of each pore in W₁₅₀, with the X and Y coordinates representing the location of the pores and the Z axis representing the area of the pores(Fig. 8), which depicts the distribution of pore area and its variation with strain over a large area range. It is shown that the improved image method based on the topological principle can improve the accuracy of the pole area acquisition results and enable large-scale tracking of geotextile pore areas.
The effectiveness of the topographic image method for tracking the length and width of geotextile pores over a wide area is verified(Fig. 11). As the geotextile stretches, it causes some of the pores to tilt or come back into alignment. The improved image method based on the topological principle can identify and locate pores in woven geotextiles at any angle and accurately track the length and width of pores on a large scale.
Conclusion 1) Comparison of the sorting results of the digital image method and the improved image method based on topological sorting shows that topological sorting can correct the sorting errors of the digital image method for geotextiles with different unit area masses and tensile strains to obtain the sorting of geotextile pores accurately. 2) The area correction of geotextile pores and the three-dimensional distribution of the area show that the topological image method can visually reflect the distribution of pore areas and their variation with strain over a large area of geotextile and achieve large-scale accurate tracking of geotextile pore areas. 3) The comparison of the area of each pore and the geotextile length and width statistics chart shows that the MABR method can improve the accuracy of the pore length and width acquisition, and based on this method, the topological image method can accurately acquire and track the changes of pore length and width from any angle on a large scale.

Key words: braided geotextile, pore characteristic parameter, digital image method, topological sorting, uniaxial tensile strain

中图分类号:

TU531.7

唐晓武, 李柯毅, 赵文芳, 陈式华, 林维康, 梁家馨. 基于拓扑排序的编织土工布孔洞特征分析方法[J]. 纺织学报, 2023, 44(04): 92-99.

TANG Xiaowu, LI Keyi, ZHAO Wenfang, CHEN Shihua, LIN Weikang, LIANG Jiaxing. Analysis on pore characteristics of braided geotextiles based on topological sorting method[J]. Journal of Textile Research, 2023, 44(04): 92-99.

图/表 12

图1

图2

图3

图4

图5

表1

图6

图7

图8

图9

图10

图11

参考文献 18

[1]	包承纲. 土工合成材料应用原理与工程实践[M]. 北京: 中国水利水电出版社, 2008:1-4.
	BAO Chenggang. The principle and application of geosynthetics in engineering[M]. Beijing: China Water Power Press, 2008:1-4.
[2]	KOERNER R M. Designing with geosynthetics[M]. 4th ed. New Jersey: Prentice-Hall Inc, 1998: 761-792.
[3]	LAWSON C R. Geotextile containment for hydraulic and environmental engineering[J]. Geosynthetics International, 2008, 15(6): 384-427. doi: 10.1680/gein.2008.15.6.384
[4]	WU C S, HONG Y S, WANG R H. The influence of uniaxial tensile strain on the pore size and filtration characteristics of geotextiles[J]. Geotextiles and Geomembranes, 2008, 26(3): 250-262. doi: 10.1016/j.geotexmem.2007.09.004
[5]	WU C S, HONG Y S. The influence of tensile strain on the pore size and flow capability of needle-punched nonwoven geotextiles[J]. Geosynthetics International, 2016, 23(6): 422-434. doi: 10.1680/jgein.16.00007
[6]	庄艳峰, 王钊. 土工织物的孔径测试方法[J]. 长江科学院院报, 2002(3): 33-36.
	ZHUANG Yanfeng, WANG Zhao. Testing method for pore size of Geotextile[J]. Journal of Yangtze River Scientific Research Institute, 2002(3): 33-36.
[7]	杨艳. 土工织物等效孔径测定方法的分析[D]. 天津: 天津大学, 2009: 33-36.
	YANG Yan. Analysis of measuring method for equivalent pore size of geotextile[D]. Tianjin: Tianjin University, 2009: 33-36.
[8]	唐琳. 拉应变对土工织物孔径特征及反滤性能影响的研究[D]. 杭州: 浙江大学, 2014: 13-16.
	TANG Lin. Pore size characteristics and filtration properties of geotextiles subjected to tensile strains[D]. Hangzhou: Zhejiang University, 2014: 13-16.
[9]	AYDILEK A H, EDIL T B. Evaluation of woven geotextile pore structure parameters using image analy-sis[J]. Geotechnical Testing Journal, 2004, 27(1): 99-110.
[10]	李富强, 王钊, 陈轮, 等. 用数字图像技术测定反滤材料孔径分布曲线[J]. 岩土工程学报, 2007, 29(6): 857-860.
	LI Fuqiang, WANG Zhao, CHEN Lun, et al. Digital image analysis to determine pore size distribution of filtration materials[J]. Chinese Journal of Geotechnical Engineering, 2007, 29(6): 857-860.
[11]	佘巍, 唐晓武. 用图像分析法研究有纺土工织物单向受拉时孔径的变化[J]. 岩土工程学报, 2012, 34(8): 1522-1526.
	SHE Wei, TANG Xiaowu. Research on changes of pore size of woven geotextiles affected by uniaxial tension using image analysis method[J]. Chinese Journal of Geotechnical Engineering, 2012, 34(8): 1522-1526.
[12]	白彬. 双轴拉应变对土工织物孔径特征及反滤性能影响的研究[D]. 杭州: 浙江大学, 2015: 84-85.
	BAI Bin. pore size characteristics and filtration properties of geotextiles subjected to biaxial tensile strain[D]. Hangzhou: Zhejiang University, 2015: 84-85.
[13]	TANG Lin, TANG Xiaowu, LIU Yang, et al. Prediction of pore size characteristics of woven slit-film geotextiles subjected to unequal biaxial tensile strains[J]. Geotextiles and Geomembranes, 2020, 48(5): 724-734. doi: 10.1016/j.geotexmem.2020.05.005
[14]	佘巍. 土工织物拉伸对反滤性能影响的研究[D]. 杭州: 浙江大学, 2012: 22-29.
	SHE Wei. Research on filtration properties of geotextiles affected by uniaxial tension[D]. Hangzhou: Zhejiang University, 2012: 22-29.
[15]	顾桂鹏, 张钰婷, 邵勇. 规则工件几何尺寸图像测量研究[J]. 工业控制计算机, 2017, 30(2): 96-97,102.
	GU Guipeng, ZHANG Yuting, SHAO Yong. Research on image measurement of geometric dimension of regular workpiece[J]. Industrial Control Computer, 2017, 30(2): 96-97, 102.
[16]	黄伟军, 蔡力钢, 胡于进, 等. 基于遗传算法与有向图拓扑排序的工艺路线优化[J]. 计算机集成制造系统, 2009, 15(9): 1770-1778.
	HUANG Weijun, CAI Ligang, HU Yujin, et al. Process planning optimization based on genetic algorithm and topological sort algorithm for digraph[J]. Computer Integrated Manufacturing Systems, 2009, 15(9): 1770-1778.
[17]	苏树伟, 范科峰, 莫玮. 基于拓扑排序的贝叶斯网络结构学习方法[J]. 电视技术, 2018, 42(5): 4-8,48.
	SU Shuwei, FAN Kefeng, MO Wei. Bayesian network structure learning method based on topological orde-ring[J]. Video Engineering, 2018, 42(5): 4-8,48.
[18]	于延龙. 基于遥感影像的敦煌雅丹地貌形态学及其演化研究[D]. 北京: 中国地质大学(北京), 2017: 52-53.
	YU Yanlong. Study on the geomorphological morphology and evolution of Yadan in Dunhuang based on remote sensing image[D]. Bejing: China University of Geosciences(Beijing), 2017: 52-53.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

名称	单位面积质量 μ/(g·m^-2)	厚度T/ mm	经向强度/ (kN·m^-1)	纬向强度/ (kN·m^-1)
W₁₂₀	119.07	0.20	22.6	17.5
W₁₅₀	159.00	0.22	25.3	22.5
W₂₅₀	246.30	0.58	47.2	43.8

基于拓扑排序的编织土工布孔洞特征分析方法

Analysis on pore characteristics of braided geotextiles based on topological sorting method

RichHTML

PDF (PC)

摘要/Abstract

引用本文

使用本文

图/表 12

参考文献 18

相关文章 0

Metrics

本文评价

推荐阅读 0