Machine learning-based classification of quality grades for concrete vibration behaviour

S Fan, T He, W Li, C Zeng, P Chen, L Chen… - Automation in …, 2024 - Elsevier
The vibration behaviour of the vibrating rods is one of the key factors for the quality of
concrete vibration that is essential for the long-term safety of concrete structures. Although …

[PDF][PDF] K-Means cluster analysis in earthquake epicenter clustering

P Novianti, D Setyorini… - International Journal of …, 2017 - pdfs.semanticscholar.org
Earthquake is a vibration or a shock that occurs on the Earth's surface due to the sudden
release of energy in the earth's crust that creates the seismic waves. The earthquakes are …

An empirical seismic vulnerability model

A Rosti, M Rota, A Penna - Bulletin of Earthquake Engineering, 2022 - Springer
This paper proposes a novel seismic vulnerability model for the classification of the existing
residential building stock. The vulnerability model rests on a data-driven approach, taking …

An improved K-means clustering algorithm for global earthquake catalogs and earthquake magnitude prediction

R Yuan - Journal of Seismology, 2021 - Springer
The occurrences of earthquakes have no any explicit warning, and earthquake magnitude
prediction is still extremely challenging now. Therefore, this study proposes a seismic …

Delineation of potential seismic sources using weighted K-means cluster analysis and particle swarm optimization (PSO)

Z Sheikhhosseini, N Mirzaei, R Heidari, H Monkaresi - Acta Geophysica, 2021 - Springer
Potential seismic sources play an important role in seismic hazard analysis. Identification of
seismic sources is generally carried out on the basis of expert judgments, and in most cases …

Identification and spatio-temporal analysis of earthquake clusters using SOM–DBSCAN model

A Sharma, RK Vijay, SJ Nanda - Neural Computing and Applications, 2023 - Springer
Seismic catalogs are vital to understanding and analyzing the progress of active fault
systems. The background seismicity rate in a seismic catalog, strongly associated with …

Cluster analysis of earthquake ground-motion records and characteristic period of seismic response spectrum

Y Ding, Y Peng, J Li - Journal of Earthquake Engineering, 2020 - Taylor & Francis
Classification of earthquake ground-motion records is carried out in this article using K-
means cluster technique. Two kinds of cluster attributes are introduced, which are …

Seismic source zonation for NE India on the basis of past EQs and spatial distribution of seismicity parameters

N Borah, A Kumar, R Dhanotiya - Journal of Seismology, 2021 - Springer
Abstract The North East (NE) of India is an earthquake (EQ) prone zone and has
experienced considerable damages in the past due to high intensity EQs. With rapidly …

Machine learning approach for sequence clustering with applications to ground-motion selection

R Zhang, J Hajjar, H Sun - Journal of Engineering Mechanics, 2020 - ascelibrary.org
Clustering analysis of sequential data is of great interest and importance in many science
and engineering areas thanks to the explosive growth of time-series data. Effective methods …

A Framework for High-Fidelity and Efficient Collapse Fragility Estimation of Structures Using Cluster Analysis

B Liu, J Hu, Y Liu - Journal of Earthquake Engineering, 2024 - Taylor & Francis
ABSTRACT A clustering-based framework that can select a smaller number of ground
motions from the entire ground motion set for collapse fragility estimation of structures while …