A review of machine learning methods applied to structural dynamics and vibroacoustic

BZ Cunha, C Droz, AM Zine, S Foulard… - Mechanical Systems and …, 2023 - Elsevier
Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
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 …

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 …

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 …

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 …