A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

O Avci, O Abdeljaber, S Kiranyaz, M Hussein… - Mechanical systems and …, 2021 - Elsevier
Monitoring structural damage is extremely important for sustaining and preserving the
service life of civil structures. While successful monitoring provides resolute and staunch …

Earthquake risk assessment of building structures

BR Ellingwood - Reliability Engineering & System Safety, 2001 - Elsevier
During the past two decades, probabilistic risk analysis tools have been applied to assess
the performance of new and existing building structural systems. Structural design and …

Assessing the seismic behavior of structures controlled with a novel elastoplastic-tuned mass damper inerter considering the effects of soil-structure interactions

MA Shahraki, R Kamgar, H Heidarzadeh - Structures, 2023 - Elsevier
In this paper, an elastoplastic-tuned mass damper inerter (PTMDI) is introduced, and its
practical advantages under soil-structure interaction are investigated. For this purpose, a …

Ground motion duration effects on nonlinear seismic response

I Iervolino, G Manfredi… - Earthquake engineering & …, 2006 - Wiley Online Library
The study presented in this paper addresses the question of which nonlinear demand
measures are sensitive to ground motion duration by statistical analyses of several case …

Effects of near-fault and far-fault ground motions on nonlinear dynamic response and seismic damage of concrete gravity dams

S Zhang, G Wang - Soil Dynamics and Earthquake Engineering, 2013 - Elsevier
As the forward directivity and fling effect characteristics of the near-fault ground motions,
seismic response of structures in the near field of a rupturing fault can be significantly …

The pan-European Engineering Strong Motion (ESM) flatfile: compilation criteria and data statistics

G Lanzano, S Sgobba, L Luzi, R Puglia, F Pacor… - Bulletin of Earthquake …, 2019 - Springer
Abstract The Engineering Strong-Motion (ESM) flatfile is a parametric table which contains
verified and reliable metadata and intensity measures of manually processed waveforms …

Deep convolutional generative adversarial networks for the generation of numerous artificial spectrum‐compatible earthquake accelerograms using a limited number …

M Matinfar, N Khaji, G Ahmadi - Computer‐Aided Civil and …, 2023 - Wiley Online Library
Deep learning (DL) methodologies have been recently employed to solve various civil and
earthquake engineering problems. Nevertheless, due to the limited number of reliable data …

Vision-oriented machine learning-assisted seismic energy dissipation estimation for damaged RC beam-column connections

M Hamidia, M Kaboodkhani, H Bayesteh - Engineering Structures, 2024 - Elsevier
After a seismic event, damage quantification is necessary for safety evaluation, collapse
proximity judgment, and measurement of the residual seismic capacity of the joints. Machine …

PhyMDAN: Physics-informed knowledge transfer between buildings for seismic damage diagnosis through adversarial learning

S Xu, HY Noh - Mechanical Systems and Signal Processing, 2021 - Elsevier
Automated structural damage diagnosis after earthquakes is important for improving
efficiency of disaster response and city rehabilitation. In conventional data-driven …

Towards a reliable seismic assessment of rocking components

D D'Angela, G Magliulo, E Cosenza - Engineering Structures, 2021 - Elsevier
The paper addresses the reliability of the existing shake table testing protocols for
assessment of the seismic response of freestanding, ie unanchored, components meant as …