A review of multi-criteria decision-making methods applied to the sustainable bridge design
The construction of bridges has been necessary for societies since ancient times, when the
communication between and within towns, cities or communities was established. Until …
communication between and within towns, cities or communities was established. Until …
Influence of smart sensors on structural health monitoring systems and future asset management practices
Recent developments in networked and smart sensors have significantly changed the way
Structural Health Monitoring (SHM) and asset management are being carried out. Since the …
Structural Health Monitoring (SHM) and asset management are being carried out. Since the …
Automatic crack detection for tunnel inspection using deep learning and heuristic image post-processing
In this paper, a crack detection mechanism for concrete tunnel surfaces is presented. The
proposed methodology leverages deep Convolutional Neural Networks and domain-specific …
proposed methodology leverages deep Convolutional Neural Networks and domain-specific …
Deep convolutional neural networks for efficient vision based tunnel inspection
K Makantasis, E Protopapadakis… - 2015 IEEE …, 2015 - ieeexplore.ieee.org
The inspection, assessment, maintenance and safe operation of the existing civil
infrastructure consists one of the major challenges facing engineers today. Such work …
infrastructure consists one of the major challenges facing engineers today. Such work …
Xgboost application on bridge management systems for proactive damage estimation
Bridge inspection is one of the most fundamental tasks in bridge management practices.
Because of limited professional manpower and budget constraints, providing prior …
Because of limited professional manpower and budget constraints, providing prior …
Exploring the deterioration factors of RC bridge decks: a rough set approach
RY Huang, IS Mao, HK Lee - Computer‐Aided Civil and …, 2010 - Wiley Online Library
Information about the factors that lead to the deterioration of bridges is essential for bridge
maintenance. Pinpointing what these factors are will certainly enhance the effectiveness of …
maintenance. Pinpointing what these factors are will certainly enhance the effectiveness of …
Damage identification method of prestressed concrete beam bridge based on convolutional neural network
S Yang, Y Huang - Neural Computing and Applications, 2021 - Springer
Bridges play an important role in transportation, but because of overload and natural factors,
bridges will inevitably be damaged, which will affect traffic and even lead to major accidents …
bridges will inevitably be damaged, which will affect traffic and even lead to major accidents …
Smartphone based structural health monitoring using deep neural networks
F Vega, W Yu - Sensors and Actuators A: Physical, 2022 - Elsevier
In order to create a low-cost and easy-to-implement structural health monitoring method, this
paper uses smartphones to collect data on the movement of a building to determine whether …
paper uses smartphones to collect data on the movement of a building to determine whether …
Selection of a bridge construction site using fuzzy analytical hierarchy process in geographic information system
A Ardeshir, N Mohseni, K Behzadian… - Arabian Journal for …, 2014 - Springer
Selection of bridge construction sites over rivers is one of the most important tasks in
construction feasibility studies. In this paper, potential sites for the construction of a river …
construction feasibility studies. In this paper, potential sites for the construction of a river …
Fuzzy logic based condition rating of existing reinforced concrete bridges
S Sasmal, K Ramanjaneyulu… - … of Performance of …, 2006 - ascelibrary.org
Fuzzy logic is a means for modeling the uncertainty involved in describing an event/result
using natural language. The fuzzy logic approach would be particularly useful for remedying …
using natural language. The fuzzy logic approach would be particularly useful for remedying …