Earthquake data augmentation using wavelet transform for training deep learning based surrogate models of nonlinear structures

SS Parida, S Bose, G Apostolakis - Structures, 2023 - Elsevier
Abstract Machine learning methods have gained traction in the civil engineering community
for analysis of civil infrastructures. A major field of application is in development of surrogate …

Earthquake-induced nonlinear dynamic response assessment of structures in terms of discrete wavelet transform

R Kamgar, M Dadkhah, H Naderpour - Structures, 2022 - Elsevier
Nonlinear dynamic analysis (NDA) needs a large computation time and volume. In this
study, an innovative method is proposed based on utilizing discrete wavelet transform to …

[HTML][HTML] Development of practical downsampling methods for nonlinear time history analysis of complex structures

N Majidi, HT Riahi, SM Zandi, I Hajirasouliha - Soil Dynamics and …, 2023 - Elsevier
One of the main problems of nonlinear time history analysis is its high computational effort,
especially in structures with large number of structural components, high-rise buildings and …

Effects of pulse-like ground motions and wavelet asymmetry on responses of cantilever retaining wall

SJ Ha, H Seo, B Kim - Soil Dynamics and Earthquake Engineering, 2023 - Elsevier
Fault-rupture processes produce pulse-like ground motions in near-fault regions. These
motions are characterized as large-amplitude long-period pulsing that can cause severe …

Reducing computational costs in site response analysis and its application for the nonlinear dynamic analysis of structures

N Majidi, HT Riahi, SM Zandi - Structures, 2022 - Elsevier
In this paper, the wavelet transform is used for the first time to reduce the cost of site
response analysis calculations for different soil profiles in Isfahan city. This downsampling …

An unsupervised learning framework for health diagnosis by incorporating multiscale data

L Fang, D Zhu, J Zhang, Y Dong - Structures, 2024 - Elsevier
Integrating real-time evaluations of health states with Structural Health Monitoring (SHM)
data and environmental observations is crucial, particularly under large datasets. Not only is …

Combining Discrete Wavelet Transform and Strong Ground Motion Duration to Reduce Computational Costs in Dynamic Analysis of Structures

B Shahriari, N Majidi - Periodica Polytechnica Civil Engineering, 2022 - pp.bme.hu
The dynamic time history analysis is the most accurate method for calculating the structure
response relative to the vibrating load. The use of this method is time-consuming due to the …

Evaluating the performance of different mother wavelet functions for down-sampling of earthquake records

N Majidi, HT Riahi, SM Zandi - Structures, 2023 - Elsevier
Application of discrete wavelet transform for down-sampling earthquake records has been
started since 2002. Although the mother wavelet function plays an important role in the …

Research on vibration reduction of direct-drive piston pump based on porous variable diameter Helmholtz pulsation attenuator

F Gong, S Nie, Y Huang, F Yin, R Hong, H Ji - Journal of the Brazilian …, 2023 - Springer
Aiming at the vibration suppression and noise reduction of a direct-drive piston pump
system, a novel porous variable diameter Helmholtz pulsation attenuator (abbr. PVDHPA) …

Modification of wavelet-based downsampling method to reduce computational error in nonlinear dynamic analysis

N Majidi, HT Riahi, SM Zandi - Mechanics Based Design of …, 2024 - Taylor & Francis
One of the significant obstacles in conducting linear and non-linear time history analysis is
its time-consuming nature. In this article, a new downsamlping method based on discrete …