Three decades of statistical pattern recognition paradigm for SHM of bridges
E Figueiredo, J Brownjohn - Structural Health Monitoring, 2022 - journals.sagepub.com
Bridges play a crucial role in modern societies, regardless of their culture, geographical
location, or economic development. The safest, economical, and most resilient bridges are …
location, or economic development. The safest, economical, and most resilient bridges are …
The state of the art of artificial intelligence approaches and new technologies in structural health monitoring of bridges
The challenges of urban administration are growing, as the population, automobiles, and
cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A …
cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A …
[HTML][HTML] Cause-agnostic bridge damage state identification utilising machine learning
The existing bridge stock, both in the EU and globally, contains several bridges that are
reaching the end of their design-life, many of them showing signs of deterioration. Although …
reaching the end of their design-life, many of them showing signs of deterioration. Although …
Transfer learning to enhance the damage detection performance in bridges when using numerical models
Classifiers based on machine learning algorithms trained through hybrid strategies have
been proposed for structural health monitoring (SHM) of bridges. Hybrid strategies use …
been proposed for structural health monitoring (SHM) of bridges. Hybrid strategies use …
Smartphone application for structural health monitoring of bridges
The broad availability and low cost of smartphones have justified their use for structural
health monitoring (SHM) of bridges. This paper presents a smartphone application called …
health monitoring (SHM) of bridges. This paper presents a smartphone application called …
Data compression and damage evaluation of underground pipeline with musicalized sonar GMM
The underground cement pipeline network is critical in urban infrastructure, such as sewage
drainage and fluid transportation. Pipelines are deeply buried, so the damage is difficult to …
drainage and fluid transportation. Pipelines are deeply buried, so the damage is difficult to …
Damage evaluation of fixed beams at both ends for bridge health monitoring using a combination of a vibration sensor and a surface acoustic wave device
S Baba, J Kondoh - Engineering Structures, 2022 - Elsevier
In recent years, the aging of engineering structures such as bridges has become a serious
problem, and the development of an inexpensive and mass-producible structural health …
problem, and the development of an inexpensive and mass-producible structural health …
Bayesian calibration for Lamb wave propagation on a composite plate using a machine learning surrogate model
SF Leonardo de Paula, RO Teloli, S da Silva… - … Systems and Signal …, 2024 - Elsevier
This paper presents a new framework for stochastic updating of a finite element model for a
composite plate, considering the influence of temperature on Lamb wave propagation. The …
composite plate, considering the influence of temperature on Lamb wave propagation. The …
Damage detection approach for bridges under temperature effects using gaussian process regression trained with hybrid data
The success of detecting damage robustly relies on the availability of long periods of past
data covering multiple weather scenarios and on the information contained in the data used …
data covering multiple weather scenarios and on the information contained in the data used …
[HTML][HTML] A Comprehensive Study on Unsupervised Transfer Learning for Structural Health Monitoring of Bridges Using Joint Distribution Adaptation
Bridges are crucial transportation infrastructures with significant socioeconomic impacts,
necessitating continuous assessment to ensure safe operation. However, the vast number of …
necessitating continuous assessment to ensure safe operation. However, the vast number of …