A review of machine learning methods applied to structural dynamics and vibroacoustic
Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …
applied sciences, having encountered many applications in Structural Dynamics and …
Development of a control algorithm for a semi-active mid-story isolation system using reinforcement learning
HS Kim, U Kim - Applied Sciences, 2023 - mdpi.com
The semi-active control system is widely used to reduce the seismic response of building
structures. Its control performance mainly depends on the applied control algorithms …
structures. Its control performance mainly depends on the applied control algorithms …
Reinforcement Learning for Integrated Structural Control and Health Monitoring
S Javadinasab Hormozabad, N Jacobs… - Practice Periodical on …, 2024 - ascelibrary.org
Structural systems are vulnerable to dynamic loading and need special protection while
facing extreme conditions. This study proposes an integrated structural control and health …
facing extreme conditions. This study proposes an integrated structural control and health …
Deep Reinforcement Learning for Active Structure Stabilization
W Compton, M Curtin, W Vogt, A Scheinker… - Data Science in …, 2022 - Springer
Structures are continuously exposed to external forcing, which can have dramatic variation
both in loading magnitude and frequency content. A structure must implement control …
both in loading magnitude and frequency content. A structure must implement control …
ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING IN SMART STRUCTURAL SYSTEMS
S Javadinasab Hormozabad - uknowledge.uky.edu
Next-generation smart cities are the key feature in the next chapter of human life. Cities that
employ innovative and technology-driven solutions to improve the sustainability, resilience …
employ innovative and technology-driven solutions to improve the sustainability, resilience …