Design optimization of transducer arrays for uniform distribution of guided wave energy in arbitrarily shaped domains

Shoja, Siavash; Berbyuk, Viktor; Mustapha, Samir

doi:10.1016/j.ultras.2020.106079

Cited by 6 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ultrasonic transducer array configuration and process parameters were optimized to improve focused ultrasonic therapy [30,31]. Placements of transducers and the time delays were optimized to achieve specific directivity of the emitted Lamb waves [32]. Placement of piezoelectric transducers for a plate with specific geometry for optimal damage detection was estimated [33].…”

Section: Optimization Of Airborne Sound Propagation In Thementioning

confidence: 99%

Optimization of elastic wave propagation in a reconfigurable medium by genetic algorithms with adaptive mutation probability

Rus

Fleury

2023

Smart Mater. Struct.

View full text Add to dashboard Cite

We introduce a reconfigurable medium for the manipulation of elastic propagation properties of Lamb waves. It is based on a shape memory polymer with temperature-dependent Young’s modulus. Waves are excited by a laser pulse and detected by a laser vibrometer. A two-dimensional temperature field is controlled by a scanning heating laser. We use genetic algorithms to determine optimal distributions of mechanical properties for the following criteria: the wave amplitude has to be maximized at a given location and at the same time minimized at one or two other locations. Due to the reconfigurability of the medium, the optimization process is performed directly on the object of optimization, and not on a numerical or analytical representative, based on a direct measurement of the fitness. The optimized configuration makes the waves propagate away from (or around) the point of minimization towards the point of maximization. We improve the genetic algorithm by adapting the mutation probability of individual genes according to specific criteria, which depend on the surrounding genes (distributed in two dimensions). This provides the advantages: concentrating the mutations in the areas of genetic inconsistencies and counterbalancing the error of the fitness measurement. The method is applicable for the intelligent design of wave energy harvesters, ultrasonic transducers, and analogue wave computing devices.

show abstract

Section: Optimization Of Airborne Sound Propagation In Thementioning

confidence: 99%

Optimization of elastic wave propagation in a reconfigurable medium by genetic algorithms with adaptive mutation probability

Rus

Fleury

2023

Smart Mater. Struct.

View full text Add to dashboard Cite

show abstract

“…An objective function was also introduced which combined a measure of parameter uncertainty, the expected information entropy, and the cost of the sensing elements. Moreover, Shoja et al [48] proposed an algorithm to design an array of actuating transducers on any arbitrary shaped domain, to provide a uniform energy distribution, and it was validated on an aluminum structure.…”

Section: Sensor For Measuring Ultrasonic Wavementioning

confidence: 99%

Sensor Networks for Structures Health Monitoring: Placement, Implementations, and Challenges—A Review

Mustapha

et al. 2021

Vibration

Self Cite

View full text Add to dashboard Cite

The development of structural health monitoring (SHM) systems and their integration in actual structures has become a necessity as it can provide a robust and low-cost solution for monitoring the structural integrity of and the ability to predict the remaining life of structures. In this review, we aim at focusing on one of the important issues of SHM, the design, and implementation of sensor networks. Location and number of sensors, in any SHM system, are of high importance as they impact the system integration, system performance, and accuracy of assessment, as well as the total cost. Hence we are interested in shedding the light on the sensor networks as an essential component of SHM systems. The review discusses several important parameters including design and optimization of sensor networks, development of academic and commercial solutions, powering of sensors, data communication, data transmission, and analytics. Finally, we presented some successful case studies including the challenges and limitations associated with the sensor networks.

show abstract

Composite sandwich structures: Damage detection and assessment using ultrasonic guided waves

Mustapha,

Saad,

Fakih

et al. 2024

Structural Health Monitoring/Management (SHM) in Aerospace Structures

View full text Add to dashboard Cite

Design optimization of transducer arrays for uniform distribution of guided wave energy in arbitrarily shaped domains

Cited by 6 publications

References 20 publications

Optimization of elastic wave propagation in a reconfigurable medium by genetic algorithms with adaptive mutation probability

Optimization of elastic wave propagation in a reconfigurable medium by genetic algorithms with adaptive mutation probability

Sensor Networks for Structures Health Monitoring: Placement, Implementations, and Challenges—A Review

Composite sandwich structures: Damage detection and assessment using ultrasonic guided waves

Contact Info

Product

Resources

About