Admittance-Based Structural Health Monitoring of Pipeline for Damage Assessment

被引：0

作者：

Jayachitra, T. ^{[1
]}

Priyadarshini, Rashmi ^{[2
]}

机构：

[1] Sharda Univ, Elect & Elect Engn Dept, Sch Engn & Technol, Greater Noida 201310, Uttar Pradesh, India

[2] Sharda Univ, Sch Engn & Technol, Elect & Commun Engn Dept, Greater Noida 201310, Uttar Pradesh, India

来源：

MOBILE COMPUTING AND SUSTAINABLE INFORMATICS | 2022年 / 68卷

关键词：

Structural health monitoring; Electromechanical impedance; Admittance; Pipeline; Lead zirconate titanate patches; IMPEDANCE; WIRELESS;

D O I：

10.1007/978-981-16-1866-6_43

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper reveals the experimental evaluation on the usage of electromechanical impedance techniques in pipeline structures. Pipelines are damaged due to its exposure to landslides, corrosion, overloading and earthquakes. To overcome this situation, the pipelines must be monitored continuously to avoid such damage. PZT (lead zirconate titanate) patch is used for sensing the damage in the structure. The most effective method in structural health monitoring for damage detection is electromechanical impedance technique. Impedance chip is used for structural health monitoring using this technique. The admittance measurements are measured using impedance chip. The results indicate that output obtained from the impedance chip is accurate. Damage detection in pipeline structure using impedance chip is the novel method in this proposed paper.

引用

页码：603 / 608

页数：6

共 18 条

[1] Electromechanical impedance of piezoelectric transducers for monitoring metallic and non-metallic structures: A review of wired, wireless and energy-harvesting methods [J].

Annamdas, Venu G. M. ;

Radhika, Madhav A. .

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 2013, 24 (09) :1021-1042

[2]

[Anonymous], DEVICESA 1APRIL 1 MS

[3] Design and implementation of wireless sensor networks for impedance-based structural health monitoring using ZigBee and Global System for Mobile Communications [J].

Cortez, Nicolas E. ;

Vieira Filho, Jozue ;

Baptista, Fabricio G. .

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 2015, 26 (10) :1207-1218

[4] Locating small structural damages in pipes using space-frequency DORT processing [J].

Deng, Fei ;

Teixeira, Fernando L. .

RESULTS IN PHYSICS, 2017, 7 :1637-1643

[5]

DU GF, 2017, SENSORS BASEL, V17

[6]

Golshan M., 2016, J MECH CIVIL ENG, V13, P43

[7] EARNPIPE : A Testbed for Smart Water Pipeline Monitoring using Wireless Sensor Network [J].

Karray, Fatma ;

Garcia-Ortiz, Alberto ;

Jmal, Mohamed W. ;

Obeid, Abdulfattah M. ;

Abid, Mohamed .

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS: PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE KES-2016, 2016, 96 :294-303

[8]

Kaur N., 2015, EXPT TECHNIQUES SOC, P1

[9] Damage and retrofitting monitoring in reinforced concrete structures along with long-term strength and fatigue monitoring using embedded Lead Zirconate Titanate patches [J].

Kaur, Naveet ;

Bhalla, Suresh ;

Maddu, Subhash C. G. .

JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 2019, 30 (01) :100-115

[10] MFC-based structural health monitoring using a miniaturized impedance measuring chip for corrosion detection [J].

Park, Seunghee ;

Grisso, Benjamin L. ;

Inman, Daniel J. ;

Yun, Chung-Bang .

RESEARCH IN NONDESTRUCTIVE EVALUATION, 2007, 18 (02) :139-150

← 1 2 →