基于声震监测的钢纤维/混凝土裂纹扩展规律及失稳前兆

刘成禹; 陈成海; 张向向; 曹洋兵; 何锡阳

doi:10.13801/j.cnki.fhclxb.20220725.001

基于声震监测的钢纤维/混凝土裂纹扩展规律及失稳前兆

doi: 10.13801/j.cnki.fhclxb.20220725.001

刘成禹^{1, 2},
陈成海¹,
张向向^{1, 2, ,},
曹洋兵^{1, 2},
何锡阳¹

1.
福州大学　紫金地质与矿业学院，福州 350116
2.
福州大学　地质工程福建省高校工程研究中心，福州 350116

基金项目: 国家自然科学基金(41272300)；中铁隧道局集团有限公司科技创新重点项目(隧研合：2018-53)；福建省自然科学基金(2020 J05133)

详细信息

通讯作者:
张向向，博士，讲师，硕士生导师，研究方向为隧道与地下工程、页岩气压裂等方面　E-mail: xxzhang@fzu.edu.cn

中图分类号: TU528
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- 被引次数: 0
出版历程
- 收稿日期: 2022-04-29
- 修回日期: 2022-06-24
- 录用日期: 2022-07-12
- 网络出版日期: 2022-07-25
- 刊出日期: 2023-04-15

Crack propagation law and failure precursor of steel fiber reinforced concrete based on acoustic emission and microseism monitoring

LIU Chengyu^{1, 2},
CHEN Chenghai¹,
ZHANG Xiangxiang^{1, 2
, ,},
CAO Yangbing^{1, 2},
HE Xiyang¹

1.
College of Zijin Geology and Mining, Fuzhou University, Fuzhou 350116, China
2.
Research Center of Geological Engineering, Fuzhou University, Fuzhou 350116, China

Funds: National Natural Science Foundation of China (41272300); Major Projects of Scientific and Technological Innovation of CRTG (2018-53); Natural Science Foundation of Fujian Province of China (2020J05133)

摘要

摘要: 对不同龄期、不同钢纤维掺量的钢纤维/混凝土(SFRC)单轴压缩过程中声发射(AE)和微震(MS)信号进行分析，探究SFRC的声震信号特征及裂纹扩展规律。结果表明：(1) SFRC加载过程中裂纹扩展可分为裂纹压密(I)、裂纹稳定发育(II)、裂纹急速扩展(III)和峰后破坏(IV) 4个阶段；(2) 随龄期增加，第I、第II阶段中AE、MS的能率、振率及微观裂纹和细、宏观裂纹的整体扩展速率均逐渐降低；第III、第IV阶段中AE、MS的能率、振率及微观裂纹及细、宏观裂纹的整体扩展速率均逐渐增大；(3) 随钢纤维掺量增加，除第I阶段外，其余3个阶段的AE能率和振率、微观裂纹整体扩展速率均逐渐增大；各个阶段的MS能率和振率逐渐减小，MS能量突增点的时间比逐渐增大，表明细、宏观裂纹整体扩展速率降低，破坏时间延迟；(4) SFRC失稳前，AE、MS的能率和振率、MS能量占比均出现明显陡增，可作为SFRC的失稳前兆指标。
- 钢纤维/混凝土 /
- 声发射 /
- 微震 /
- 裂纹扩展 /
- 失稳前兆
Abstract: Uniaxial compression tests were performed on the steel fiber reinforced concrete (SFRC) specimens with different ages and steel fiber volume fractions. The acoustic emission (AE) and microseismic (MS) signals were monitored during the loading progress. Through the in-depth analysis of testing results, the feature of AE and MS signals and the evolution of crack propagation in SFRC were studied. The results show that: (1) The crack propagation of SFRC during uniaxial compression can be divided into four stages: Crack compaction stage (I), crack stable development stage (II), crack unstable propagation stage (III) and post-peak failure stage (IV). Different stages show different AE and MS characteristics. (2) With the increase of age, the energy rates and count rates of AE and MS in stages I and II decrease, as well as the generation rates of micro-, meso- and macro- cracks of the whole specimen. However, the energy rate and count rate of AE and MS in stages III and IV increase, as well as the generation rates of micro-, meso- and macro-cracks of the whole specimen increase. (3) With the increase of steel fiber volume fraction, the AE energy rate, AE count rate and micro-crack generation rate of the whole specimen in stages II, III and IVincrease, while the MS energy rate and MS count rate in each stage decrease, and the MS energy surge time rate in each stage increase. Furthermore, the generation rates of meso- and macro- cracks of the whole specimen in each stage decrease, and the failure time is delayed. (4) Before the failure of SFRC, the energy rates and count rates of AE and MS increase sharply, as well as MS energy ratio. These variables can be used as the precursor index of SFRC failure.
- steel fiber reinforced concrete /
- acoustic emission /
- microseismic /
- crack propagation /
- failure precursor

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图 1 带屏蔽箱的加载系统及声发射(AE)和微震(MS)监测装置

Figure 1. Loading system with shielded box, acoustic emission (AE) and microseismic (MS) monitoring devices

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图 2 不同龄期SFRC应力及AE能量历时曲线

Figure 2. Duration curves of AE energy and stress for SFRC at different curing ages

aJ—Attojoules, 1 aJ = 10^–18 J

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图 3 不同龄期SFRC应力及MS能量历时曲线

Figure 3. Duration curves of MS energy and stress for SFRC at different curing ages

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图 4 不同掺量SFRC试样应力和AE能量历时曲线

Figure 4. Duration curves of AE energy and stress for SFRC with different steel fiber volume fractions

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图 5 不同掺量SFRC试样应力和MS能量历时曲线

Figure 5. Duration curves of MS energy and stress for SFRC with different steel fiber volume fractions

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图 6 SFRC试样MS突增点的时间比与钢纤维掺量关系

Figure 6. Relationship between MS surge time ratio and steel fiber volume fraction for SFRC

p—Mortar

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图 7 SFRC试样归一化AE能率及振率与钢纤维掺量关系

Figure 7. Relationship between normalized AE energy rate, counts rate and steel fiber volume fraction for SFRC

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图 8 SFRC试样归一化MS能率及振率与钢纤维掺量关系

Figure 8. Relationship between normalized MS energy rate, counts rate and steel fiber volume fraction for SFRC

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图 9 龄期7天、掺量0.5vol%SFRC试样的失稳前兆特征

Figure 9. Precursor index of SFRC with 0.5vol% steel fiber volume fraction at 7 days

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表 1 端钩型钢纤维参数

Table 1. Parameters of hooked steel fiber

Length/mm	Aspect ratio	Tensile strength/MPa	Elastic modulus E/GPa
35	60	1100	200

下载: 导出CSV

表 2 试样配合比

Table 2. Mix proportion of specimen

Steel fiber volume fraction/vol%	Water/(kg·m^–3)	Cement/(kg·m^–3)	Sand/(kg·m^–3)	Gravel/(kg·m^–3)	Steel fiber/(kg·m^–3)
Mortar(p)	210.0	411.8	1778.2	0.0	0.0
0	210.0	411.8	800.2	978.0	0.0
0.5	218.0	427.5	801.8	940.7	39.3
1.0	226.0	443.1	813.1	915.3	78.5
1.5	234.0	458.8	805.1	866.2	117.8
2.0	242.0	474.5	806.6	828.9	157.0

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表 3 不同龄期SFRC试样AE能率及振率归一化值

Table 3. Normalized AE energy rate and count rate of SFRC at different curing ages

Loading stage	AE energy rate			AE count rate
Loading stage	3 d	7 d	28 d	3 d	7 d	28 d
I	1.00	0.69	0.65	1.00	0.79	0.74
II	1.00	0.45	0.35	1.00	0.59	0.50
III	1.00	4.65	5.90	1.00	3.22	5.83
IV	1.00	17.33	30.99	1.00	5.94	8.04

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表 4 不同龄期SFRC试样MS能率及振率归一化值

Table 4. Normalized MS energy rate and count rate of SFRC at different curing ages

Loading stage	MS energy rate			MS count rate
Loading stage	3 d	7 d	28 d	3 d	7 d	28 d
I	1.00	0.87	0.55	1.00	0.95	0.92
II	1.00	0.69	0.50	1.00	0.34	0.31
III	1.00	2.40	3.79	1.00	3.62	5.34
IV	1.00	1.88	3.19	1.00	5.85	8.71

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表 5 SFRC试样不同特征指标变化的临界值

Table 5. Critical values of different characteristic indexes for SFRC

Age-volume fraction	AE critical value $ {\kappa _{{{\rm{un}}} }} $		MS critical value $ {\xi _{{\rm{un}}}} $		MS energy proportion $ {\varsigma _{{\rm{un}}}} $
Age-volume fraction	Energy rate	Count rate	Energy rate	Count rate	MS energy proportion $ {\varsigma _{{\rm{un}}}} $
3 d-0.5vol%	—	—	—	—	1.08
7 d-0.5vol%	1.33	1.22	2.70	1.53	1.03
28 d-0.5vol%	1.56	1.62	2.31	1.69	1.07
28 d-mortar	2.16	1.99	15.65	3.61	1.49
28 d-0vol%	1.62	1.96	3.89	1.77	1.24
28 d-1.0vol%	2.35	3.32	4.66	5.04	1.14
28 d-1.5vol%	1.53	1.31	3.44	2.52	1.08
28 d-2.0vol%	2.30	2.72	3.44	5.08	1.21

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