Dr. Hassene Hasni Profile

Dr. Hassene Hasni

at Michigan State Univ

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 27 March 2019 Presentation + Paper

Self-charging and self-monitoring smart civil infrastructure systems: current practice and future trends

Pengcheng Jiao, Amir Alavi, Hassene Hasni, Kenji Aono, Nizar Lajnef, Shantanu Chakrabartty

Proceedings Volume 10970, 109700W (2019) https://doi.org/10.1117/12.2513476

KEYWORDS: Sensors, Bridges, Transducers, Sensor networks, Machine learning, 3D modeling, Sensing systems, Structural health monitoring, Prototyping, Damage detection

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Proceedings Article | 27 March 2019 Presentation + Paper

A multistable mechanism to detect thermal limits for structural health monitoring (SHM)

Pengcheng Jiao, Hassene Hasni, Amir Alavi, Adam Al-Ansari, Nizar Lajnef, Kai Lu

Proceedings Volume 10970, 109700Y (2019) https://doi.org/10.1117/12.2513389

KEYWORDS: Bridges, Measurement devices, Structural health monitoring, Signal generators, Temperature metrology, Transducers, 3D modeling, Thermal effects, Sensors

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Proceedings Article | 19 April 2017 Paper

An energy harvesting solution based on the post-buckling response of non-prismatic slender beams

Pengcheng Jiao, Amir Alavi, Wassim Borchani, Hassene Hasni, Nizar Lajnef

Proceedings Volume 10171, 101710A (2017) https://doi.org/10.1117/12.2268448

KEYWORDS: Energy harvesting, Beam shaping, Beam analyzers, Systems modeling, Energy efficiency, Transducers, Sensors, Energy conversion efficiency, Ferroelectric polymers, Structural health monitoring

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Proceedings Article | 12 April 2017 Presentation + Paper

Structural health monitoring using a hybrid network of self-powered accelerometer and strain sensors

Pengcheng Jiao, Amir Alavi, Hassene Hasni, Nizar Lajnef

Proceedings Volume 10168, 101682N (2017) https://doi.org/10.1117/12.2258633

KEYWORDS: Sensors, Structural health monitoring, Performance modeling, Systems modeling, Sensor performance, Sensing systems, Transducers, Damage detection, Sensor networks, Data acquisition, Aluminum, Feature extraction

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Proceedings Article | 12 April 2017 Presentation + Paper

A new method for detection of fatigue cracking in steel bridge girders using self-powered wireless sensors

Hassene Hasni, Amir Alavi, Pengcheng Jiao, Nizar Lajnef

Proceedings Volume 10168, 101680Q (2017) https://doi.org/10.1117/12.2258629

KEYWORDS: Sensors, Bridges, Performance modeling, Damage detection, Feature extraction, Data acquisition, Data fusion, Data modeling, Smart materials, Sensor performance, Distortion, Sensor networks, Failure analysis

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