Journal ArticleDOI
A novel unsupervised approach based on a genetic algorithm for structural damage detection in bridges
Moisés Silva,Adam Santos,Eloi Figueiredo,Reginaldo Santos,Claudomiro Sales,João C. W. A. Costa +5 more
TLDR
A novel unsupervised and nonparametric genetic algorithm for decision boundary analysis (GADBA) to support the structural damage detection process, even in the presence of linear and nonlinear effects caused by operational and environmental variability is proposed.About:
This article is published in Engineering Applications of Artificial Intelligence.The article was published on 2016-06-01. It has received 81 citations till now. The article focuses on the topics: Structural system & Cluster analysis.read more
Citations
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Journal ArticleDOI
A review of vibration-based damage detection in civil structures : from traditional methods to Machine Learning and Deep Learning applications
TL;DR: This paper aims to fulfill the gap by presenting the highlights of the traditional methods and provide a comprehensive review of the most recent applications of ML and DL algorithms utilized for vibration-based structural damage detection in civil structures.
Journal ArticleDOI
Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection
TL;DR: This work has shown that structural health monitoring techniques have been widely used in long-span bridges but, due to limitations of computational ability and data analysis methods, the knowledge in these techniques is limited.
Journal ArticleDOI
A sunflower optimization (SFO) algorithm applied to damage identification on laminated composite plates
TL;DR: The proposed sunflower optimization algorithm (SFO) technique is a population-based iterative heuristic global optimization algorithm for multi-modal problems that employs terms as root velocity and pollination providing robustness.
Journal ArticleDOI
Time-Frequency-Based Data-Driven Structural Diagnosis and Damage Detection for Cable-Stayed Bridges
Journal ArticleDOI
Soft computing techniques in structural and earthquake engineering: a literature review
TL;DR: A state-of-the-art review of the main applications of soft computing techniques to relevant structural and earthquake engineering problems is proposed, including the applications of fuzzy computing, evolutionary computing, swarm intelligence, and neural networks.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Journal ArticleDOI
A fast and elitist multiobjective genetic algorithm: NSGA-II
TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Some methods for classification and analysis of multivariate observations
TL;DR: The k-means algorithm as mentioned in this paper partitions an N-dimensional population into k sets on the basis of a sample, which is a generalization of the ordinary sample mean, and it is shown to give partitions which are reasonably efficient in the sense of within-class variance.
Book
An Introduction to Genetic Algorithms
TL;DR: An Introduction to Genetic Algorithms focuses in depth on a small set of important and interesting topics -- particularly in machine learning, scientific modeling, and artificial life -- and reviews a broad span of research, including the work of Mitchell and her colleagues.
Related Papers (5)
Vibration-based Damage Identification Methods: A Review and Comparative Study:
Wei Fan,Pizhong Qiao +1 more
Damage detection in bridges using neural networks for pattern recognition of vibration signatures
W.T. Yeung,J.W. Smith +1 more