A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Non-destructive Damage Identification of Blended Concrete Systems Using Embedded Piezo Sensors
https://orcid.org/http://orcid.org/0000-0001-9258-2826
https://orcid.org/http://orcid.org/0000-0002-1791-7830
https://orcid.org/http://orcid.org/0000-0003-4945-4161
https://orcid.org/http://orcid.org/0000-0001-6184-2680
Concrete is the primarily utilized material for construction of various structures such as buildings, bridges, roads and dams. The development of concrete infrastructures has been ongoing for centuries with advancements in construction techniques and materials. With the increasing concern for environmental sustainability, there is a growing need for the use of sustainable materials in construction. However, identifying incipient damage in the concrete structures during their service life is challenging and essential for ensuring overall integrity and safety. Most of the research investigation on damage identification of conventional concrete under compression loading condition. In recent times, there has been significant interest in the application of smart materials, particularly with piezoelectric sensors for structural health monitoring (SHM). Among the latest and most efficient passive sensing technique in the SHM domain is the electro-mechanical impedance (EMI) technique. The present study addresses the gap with an experimental investigation into damage identification in blended concrete systems under compression loading condition using embedded piezo sensors (EPS) through EMI technique. The experimental program is conducted under standard incremental compression loading using a compression testing machine. An Inductance Capacitance Resistance (LCR) meter is used to acquired the admittance data from 30 to 300 kHz frequency range during healthy state and loaded state of concrete. The impedance measurements are extracted from the acquired admittance data and presence of damage in the concrete is identified qualitatively. The severity of damage is quantified using the root mean square deviation (RMSD) method. The effect of stress associated with incremental loading influences the behaviour of conductance signature. As cracks appear on the surface of concrete, there is a noticeable variation in conductance signature. Furthermore, the study explores the relationship between the variation of RMSD values with incremental compression loading in the concrete. Based on the experimental results, it is concluded that the use of impedance-based SHM allows for accurate and effective detection of damage in blended concrete systems. This suggests that impedance based technique is useful for damage detection in real-time applications.
Non-destructive Damage Identification of Blended Concrete Systems Using Embedded Piezo Sensors
https://orcid.org/http://orcid.org/0000-0001-9258-2826
https://orcid.org/http://orcid.org/0000-0002-1791-7830
https://orcid.org/http://orcid.org/0000-0003-4945-4161
https://orcid.org/http://orcid.org/0000-0001-6184-2680
Concrete is the primarily utilized material for construction of various structures such as buildings, bridges, roads and dams. The development of concrete infrastructures has been ongoing for centuries with advancements in construction techniques and materials. With the increasing concern for environmental sustainability, there is a growing need for the use of sustainable materials in construction. However, identifying incipient damage in the concrete structures during their service life is challenging and essential for ensuring overall integrity and safety. Most of the research investigation on damage identification of conventional concrete under compression loading condition. In recent times, there has been significant interest in the application of smart materials, particularly with piezoelectric sensors for structural health monitoring (SHM). Among the latest and most efficient passive sensing technique in the SHM domain is the electro-mechanical impedance (EMI) technique. The present study addresses the gap with an experimental investigation into damage identification in blended concrete systems under compression loading condition using embedded piezo sensors (EPS) through EMI technique. The experimental program is conducted under standard incremental compression loading using a compression testing machine. An Inductance Capacitance Resistance (LCR) meter is used to acquired the admittance data from 30 to 300 kHz frequency range during healthy state and loaded state of concrete. The impedance measurements are extracted from the acquired admittance data and presence of damage in the concrete is identified qualitatively. The severity of damage is quantified using the root mean square deviation (RMSD) method. The effect of stress associated with incremental loading influences the behaviour of conductance signature. As cracks appear on the surface of concrete, there is a noticeable variation in conductance signature. Furthermore, the study explores the relationship between the variation of RMSD values with incremental compression loading in the concrete. Based on the experimental results, it is concluded that the use of impedance-based SHM allows for accurate and effective detection of damage in blended concrete systems. This suggests that impedance based technique is useful for damage detection in real-time applications.
Non-destructive Damage Identification of Blended Concrete Systems Using Embedded Piezo Sensors
https://orcid.org/http://orcid.org/0000-0001-9258-2826
https://orcid.org/http://orcid.org/0000-0002-1791-7830
https://orcid.org/http://orcid.org/0000-0003-4945-4161
https://orcid.org/http://orcid.org/0000-0001-6184-2680
Concrete is the primarily utilized material for construction of various structures such as buildings, bridges, roads and dams. The development of concrete infrastructures has been ongoing for centuries with advancements in construction techniques and materials. With the increasing concern for environmental sustainability, there is a growing need for the use of sustainable materials in construction. However, identifying incipient damage in the concrete structures during their service life is challenging and essential for ensuring overall integrity and safety. Most of the research investigation on damage identification of conventional concrete under compression loading condition. In recent times, there has been significant interest in the application of smart materials, particularly with piezoelectric sensors for structural health monitoring (SHM). Among the latest and most efficient passive sensing technique in the SHM domain is the electro-mechanical impedance (EMI) technique. The present study addresses the gap with an experimental investigation into damage identification in blended concrete systems under compression loading condition using embedded piezo sensors (EPS) through EMI technique. The experimental program is conducted under standard incremental compression loading using a compression testing machine. An Inductance Capacitance Resistance (LCR) meter is used to acquired the admittance data from 30 to 300 kHz frequency range during healthy state and loaded state of concrete. The impedance measurements are extracted from the acquired admittance data and presence of damage in the concrete is identified qualitatively. The severity of damage is quantified using the root mean square deviation (RMSD) method. The effect of stress associated with incremental loading influences the behaviour of conductance signature. As cracks appear on the surface of concrete, there is a noticeable variation in conductance signature. Furthermore, the study explores the relationship between the variation of RMSD values with incremental compression loading in the concrete. Based on the experimental results, it is concluded that the use of impedance-based SHM allows for accurate and effective detection of damage in blended concrete systems. This suggests that impedance based technique is useful for damage detection in real-time applications.
Non-destructive Damage Identification of Blended Concrete Systems Using Embedded Piezo Sensors
Lecture Notes in Civil Engineering
Abdullah, Waleed (editor) / Chaudhary, Muhammad Tariq (editor) / Kamal, Hasan (editor) / Parol, Jafarali (editor) / Almutairi, Abdullah (editor) / Gomasa, Ramesh (author) / Talakokula, Visalakshi (author) / Jyosyula, Sri Kalyana Rama (author) / Bansal, Tushar (author)
International Workshop on Civil Structural Health Monitoring ; 2024 ; Kuwait City, Kuwait
2024-07-01
10 pages
Article/Chapter (Book)
Electronic Resource
English
| British Library Online Contents | 2018
| British Library Online Contents | 2018