报告题目：Design of piezo-electric energy harvesters for Simultaneous Energy

                 Harvesting and Sensing systems

报告时间：2024年10月9日（周三） 下午19:00-20:00

报告地点：建筑工程学院8号楼2楼报告厅

报告人：Elena Atroshchenko

报告人单位：新南威尔士大学土木与环境工程学院

报告人简介：Dr. Elena Atroshchenko holds a PhD in Civil Engineering from University of Waterloo, Ontario, Canada (2010). At present, she is a Senior Lecturer at School of Civil and Environmental Engineering at the University of New South Wales, Sydney, Australia. Prior to her appointment at UNSW, she was an Assistant Professor at Department of Mechanical Engineering at University of Chile, Santiago, Chile. Dr. Atroshchenko’s expertise is in computational mechanics, numerical modelling and optimization, and scientific machine learning. Her research focuses on such areas as piezo-electric energy harvesting, design of meta-materials and meta-structures, physics informed neural networks.

报告摘要：In this seminar, we will introduce the concept of Simultaneous Energy Harvesting and Sensing (SEHS) system, where a single piece of hardware, a Piezo-electric Energy Harvester (PEH) is used for two objectives: harvesting energy from the source vibration and using the produced voltage signal to acquire information about the vibration source. In particular, we are interested in the design of SEHS for structural health monitoring of bridges. To simulate a healthy and damaged bridge response under passing vehicles we use a vehicle bridge interaction model solved with the finite element method. Subsequently, bridge acceleration serves as input to the PEH model to estimate the produced voltage. PEH model is a based on a bimorph Kirchoff-Love (KL) plate attached to a vibrating base. The system is solved using isogeometric analysis. In order to assess structural state of the bridge, convolutional variational auto-encoder (CVAE) is used. Since in real life, labelled data is usually not available, CVAE is trained on voltage data from a healthy bridge only, which can be characterized as unsupervised learning. Next, we perform a bi-objective optimization of a PEH with respect to energy harvesting performance and sensing accuracy.

邀请单位：黄淮学院建筑工程学院 河南省结构力学与仿真计算国际联合实验室