... position measurements from the flex sensors, we use time-series machine learning to model the relationship between flex voltage output and the true deflection. After testing offline, a long short-term memory (LSTM) neural network is implemented for inference on the hardware system and compared...

... Abstract Vibration-based damage detection has become one of the principal practices to prevent structural collapses in civil, mechanical, and other engineering disciplines. Meanwhile, with the advancement of computing technology, various machine learning (ML) approaches have been applied toward...

.... Results show that the mechanics-based modified loss function significantly improves the identification and localization abilities of boundary condition anomalies and eliminates undesired factors and false predictions. damage detection and localization machine learning gusset plates structural...

... classification machine learning (ML) techniques to translate the differences in impedance responses into discrete damage classes. The goal of this work is to determine ideal classification technique(s) for identifying and classifying damage within the aforementioned TKR systems. To this end, several algorithms...

... Abstract The artificial intelligence (AI) field has encountered a turning point mainly due to advancements in machine learning, which allows systems to learn, improve, and perform a specific task through data without being explicitly programmed. Machine learning can be utilized with machining...

... Abstract This work presents a scenario in which machine learning (ML) adds value to the usability of an SMA actuator. The considered actuator is a locking device which is actuated by two antagonistically arranged SMA wires. The wires are activated using joule heating. The actuator is operated...

... Abstract The goal of this paper is to develop a machine learning algorithm for structural health monitoring of polymer composites with mechanoluminescent phosphors as distributed sensors. Mechanoluminescence is the phenomenon of light emission from organic/inorganic materials due to mechanical...