Dr. Dattar Singh Aulakh Profile

Dr. Dattar Singh Aulakh

at Indian Institute of Technology Delhi

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Publications (3)

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Proceedings Article | 19 April 2022 Presentation + Paper

Non-bonded piezo sensor configuration for strain modal analysis based SHM

Dattar Singh Aulakh, Suresh Bhalla

Proceedings Volume 12048, 1204812 (2022) https://doi.org/10.1117/12.2614166

KEYWORDS: Sensors, Modal analysis, Ferroelectric materials, Structural health monitoring, Fiber Bragg gratings, Shape analysis, Damage detection, Civil engineering, Vibration control, Structured optical fibers

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Strain measuring sensors have been increasingly employed in strain modal analysis for structural health monitoring. Fiber bragg grafts, piezoelectric sensors, and conventional strain gauges are readily used strain gauges. Conventional strain gauges lack the dynamic strain measuring capability and fiber bragg sensors prove to be uneconomical for large structures. Piezoelectric or piezo sensors, though very efficient for dynamic strain monitoring and cost-effective, needs to be bonded on the structure like other strain gauges. This study investigates a non-bonded configuration of ceramic-based piezo sensors for experimental modal analysis (EMA). Artificial damage was created by cutting out a hole in the center of the plate. Non bonded piezo sensors (NBPS) and an accelerometer (ACC) are used to measure the dynamic response of a steel plate specimen. Single input single output (SISO) technique was adopted for the excitation and measurements from the specimen. Vibration frequencies and mode shape from all three sensors are compared in pristine and damaged state. NBPS was found to be as effective as accelerometers for damage detection and, being strain oriented were more sensitive towards damage than accelerometer. No observable change was observed in the vibrational frequencies after damage. Modal assurance criteria was adopted to quantify the change in the mode shapes due to the damage. Strain based displacement mode shapes from NBPS were more sensitive towards damage than displacement mode shapes from the accelerometer.

Proceedings Article | 18 April 2022 Presentation + Paper

Piezoelectric sensor-based 3D modal analysis under shaker derived random excitations

Dattar Singh Aulakh, Suresh Bhalla

Proceedings Volume 12047, 1204714 (2022) https://doi.org/10.1117/12.2612488

KEYWORDS: Sensors, Modal analysis, Ferroelectric materials, Bridges, System identification, Smart materials, Shape analysis, Prototyping, Fiber Bragg gratings, Civil engineering

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Modal analysis based vibration monitoring has been extensively adopted for health assessment and continuous monitoring of structures. Conventional accelerometer derived displacement based modal parameters are generally used for evaluation but with a high operational cost, fragility issues and bandwidth limitations. Strain based modal parameters have been increasingly explored for monitoring purposes owing to their high sensitivity towards any perturbation in the structural property. Piezoelectric sensors are highly sensitive, low cost, smart material based dynamic strain sensors. However, they have been sparsely investigated for their efficiency in obtaining modal parameters, specially under random excitations. This study examines the ceramic based lead-zirconate-titanate (PZT) piezoelectric sensors for their applicability in modal analysis based vibration monitoring under shaker driven random excitations. PZT patches and accelerometers were used to record the measurements of a scaled down model of pedestrian under random excitations from a mechanical shaker. Polyreference Least-Squares Complex Exponential (p-LSCE) system identification algorithm was adopted to obtain the modal parameters from both the sensors. PZT patches were equally effective as accelerometers in capturing the modal parameters namely frequency, damping and mode shapes. First ten modes under consideration were obtained by PZT patches, with an error of under one percent with accelerometers, from both the system identification techniques. Damping ratios obtained from both the sensors were in good agreement with each other. Mode shapes form the either of sensors were in excellent correlation with each other with modal assurance criteria (MAC) values higher than threshold value of 0.75.

Proceedings Article | 30 April 2020 Paper

Alternate strain based-modal analysis using piezosensors

Dattar Singh Aulakh, Suresh Bhalla

Proceedings Volume 11380, 1138011 (2020) https://doi.org/10.1117/12.2557974

KEYWORDS: Sensors, Modal analysis, Structural health monitoring, Shape analysis, Civil engineering, Signal to noise ratio, Transducers

Read Abstract +

Modal analysis based structural health monitoring (SHM) is required now more than ever due to many factors such as aging infrastructure, loading incidents likely earthquakes, over loading etc. Although the continuous monitoring of structures is a full-fledged commercial sector, its high cost makes it infeasible for large structures as the number of sensors required is large. Accelerometers, widely used as sensors in SHM, in addition to high cost, possess some other challenges such as damage vulnerability in environmental and operational conditions. In this research, low cost lead-zirconate-zitanate (PZT) sensors are proposed as replacement of costly and fragile accelerometers as sensors for SHM. PZT patches, which cost less than one-tenth of the accelerometers, can also be embedded in the reinforced concrete structures to protect from the harsh operational conditions. In this paper, PZT patches are studied by technique of experimental modal analysis (EMA) on a steel beam specimen and the results are compared with the traditionally used accelerometers. Single input single output (SISO) approach is adopted for EMA of the rectangular steel beam. PZT sensors are able to capture modal data in terms of natural frequencies and mode shapes in good agreement with accelerometer. The fundamental natural frequency of the beam is obtained with the error of less than 1 % as compared to the accelerometer. The signal to noise ratio is of same order as accelerometer. The strain mode shape from the PZT sensors is well correlated to displacement mode shapes from the accelerometer by a modal assurance criteria (MAC) values greater than 0.9 for observed experimentally.

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