Emerging artificial intelligence methods in structural engineering
Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …
modeling techniques. AI refers to the branch of computer science that develops machines …
Unsupervised learning methods for data-driven vibration-based structural health monitoring: a review
Structural damage detection using unsupervised learning methods has been a trending
topic in the structural health monitoring (SHM) research community during the past decades …
topic in the structural health monitoring (SHM) research community during the past decades …
Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection
Rapid detecting damages/defeats in the large-scale civil engineering structures, assessing
their conditions and timely decision making are crucial to ensure their health and ultimately …
their conditions and timely decision making are crucial to ensure their health and ultimately …
[HTML][HTML] Damage identification in structural health monitoring: A brief review from its implementation to the use of data-driven applications
The damage identification process provides relevant information about the current state of a
structure under inspection, and it can be approached from two different points of view. The …
structure under inspection, and it can be approached from two different points of view. The …
Bayesian‐optimized unsupervised learning approach for structural damage detection
Structural health monitoring (SHM) is develo** rapidly to fulfill the world's need for resilient
and sustainable communities. Due to the current advancements in machine learning and …
and sustainable communities. Due to the current advancements in machine learning and …
Unsupervised long-term damage detection in an uncontrolled environment through optimal autoencoder
K Yang, S Kim, JB Harley - Mechanical Systems and Signal Processing, 2023 - Elsevier
Unsupervised damage detection in the presence of both regular environmental variations,
such as a daily change in temperature and humidity, and irregular environmental variations …
such as a daily change in temperature and humidity, and irregular environmental variations …
[HTML][HTML] Bridge damage identification under varying environmental and operational conditions combining Deep Learning and numerical simulations
This work proposes a novel supervised learning approach to identify damage in operating
bridge structures. We propose a method to introduce the effect of environmental and …
bridge structures. We propose a method to introduce the effect of environmental and …
Evaluation of machine learning techniques for structural health monitoring using ultrasonic guided waves under varying temperature conditions
The implementation of machine learning methods for structural health monitoring
applications has proven to be very effective, especially in detecting damage and …
applications has proven to be very effective, especially in detecting damage and …
Current and future role of data fusion and machine learning in infrastructure health monitoring
Rapid advances in infrastructure health monitoring and sensing technologies allow the
monitoring of infrastructure assets continuously and in real-time throughout their life span …
monitoring of infrastructure assets continuously and in real-time throughout their life span …
Vibration-based structural damage detection using 1-D convolutional neural network and transfer learning
S Teng, G Chen, Z Yan, L Cheng… - Structural Health …, 2023 - journals.sagepub.com
This paper presents a novel vibration-based structural damage detection approach by using
a one-dimensional convolutional neural network (1-D CNN) and transfer learning (TL). The …
a one-dimensional convolutional neural network (1-D CNN) and transfer learning (TL). The …