Full-Field Vibration Response Estimation from Sparse Multi-Agent Automatic Mobile Sensors Using Formation Control Algorithm

Autor: Debasish Jana, Satish Nagarajaiah

Publikováno v: Sensors, Vol 23, Iss 18, p 7848 (2023)

In structural vibration response sensing, mobile sensors offer outstanding benefits as they are not dedicated to a certain structure; they also possess the ability to acquire dense spatial information. Currently, most of the existing literature conce

Externí odkaz: https://doaj.org/article/f65a2e454f414852a1bf614869ecb999

Physics-Guided Real-Time Full-Field Vibration Response Estimation from Sparse Measurements Using Compressive Sensing

Autor: Debasish Jana, Satish Nagarajaiah

Publikováno v: Sensors, Vol 23, Iss 1, p 384 (2022)

In civil, mechanical, and aerospace structures, full-field measurement has become necessary to estimate the precise location of precise damage and controlling purposes. Conventional full-field sensing requires dense installation of contact-based sens

Externí odkaz: https://doaj.org/article/3088337034cf44a7b2180270fcf8eae3

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A Computer Vision-Based Structural Health Monitoring Framework: Feature-Mining of Damage for Predictive Numerical Simulations

For the infrastructure in U.S., the structural health monitoring (SHM) community has generalized a strategy with a primary focus of accurately monitoring in-situ behavior to assess performance, detecting damage, and determining structural condition.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2a57a259ae327eca2aa7bf40c04b935b

Physics-Guided Real-Time Full-Field Vibration Response Estimation from Sparse Measurements Using Compressive Sensing.

Autor: Jana D; Samueli Civil and Environmental Engineering, University of California Los Angeles, Los Angeles, CA 90095, USA.; Civil and Environmental Engineering, Rice University, Houston, TX 77005, USA., Nagarajaiah S; Civil and Environmental Engineering, Rice University, Houston, TX 77005, USA.; Mechnanical Engineering, Rice University, Houston, TX 77005, USA.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Dec 29; Vol. 23 (1). Date of Electronic Publication: 2022 Dec 29.