Filter banks and hybrid deep learning architectures for performance-based seismic assessments of bridges
The existing machine learning (ML) models for vibration-based damage assessments often
use highly compressed features or are restricted to preprocessed signals with fixed …
use highly compressed features or are restricted to preprocessed signals with fixed …
Bridge vibration energy harvesting for wireless IoT-based structural health monitoring systems: A review
Vibration energy has the advantage of abundant availability in the environment of the bridge
structure due to consistent traffic flow and high-speed wind blowing. The vibration energy …
structure due to consistent traffic flow and high-speed wind blowing. The vibration energy …
Trident: A deep learning framework for high-resolution bridge vibration monitoring
Bridges are the essential components in lifeline transportation systems, and their safe
operation is of great importance. Information on structural damage could assist in timely …
operation is of great importance. Information on structural damage could assist in timely …
Uncertainty-Assisted Artificial Intelligence for Reliable Structural Health Monitoring
S Sajedi - 2022 - search.proquest.com
Abstract Structural Health Monitoring (SHM) is the practice of implementing a damage
detection strategy and provides essential information for the effective maintenance of civil …
detection strategy and provides essential information for the effective maintenance of civil …
Post-disaster Damage Assessment of Bridge Systems
The existing ML models for vibration-based damage assessments often use highly
compressed features or are restricted to preprocessed signals with fixed durations and …
compressed features or are restricted to preprocessed signals with fixed durations and …