Publications by Nenad Bijelic | EPFL Graph Search

Related publications (5)

Zagreb earthquake of 22 March 2020-preliminary report on seismologic aspects and damage to buildings

Significant characteristics and main consequences of the 5.5 magnitude earthquake that struck Zagreb and its surroundings in the midst of the COVID-19 pandemic are presented in the paper. Although, from the seismologic aspect, the earthquake was of moderat ...

CROATIAN SOC CIVIL ENGINEERS-HSGI2020

Surrogate modelling for seismic collapse risk assessment of steel moment resisting frames

Dimitrios Lignos, Andronikos Skiadopoulos, Nenad Bijelic

With the overall goal of reducing the numerical burden of uncertainty quantification involved in seismic risk assessments, this paper examines opportunities for assessment of seismic collapse capacity and risk using data-driven surrogates as a complement t ...

2023

Seismic Performance of Steel Moment-Resisting Frames Utilizing Dissipative Embedded Column Base Connections

Dimitrios Lignos, Nenad Bijelic

Experimental and numerical studies on steel wide-flange columns as part of steel moment-resisting frames (MRFs) revealed that their seismic performance can be compromised when seismically compact, yet relatively slender cross sections are adopted. One aspe ...

Springer Science and Business Media Deutschland GmbH2024

STEEL-3dPointClouds: dataset supporting quantification of residual life and reusability of steel beam-columns

Tianyu Gu, Dimitrios Lignos, Guillaume Romain Obozinski, Isinsu Katircioglu, Nenad Bijelic

This paper presents STEEL-3dPointClouds, a dataset of deformed steel beam-columns obtained using high-fidelity physics-based numerical simulations. These simulations trace the inelastic deformations of hot-rolled wide-flange steel beam-columns under differ ...

Springer Science and Business Media LLC2025

The automated collapse data constructor technique and the data-driven methodology for seismic collapse risk assessment

Dimitrios Lignos, Alexandre Massoud Alahi, Nenad Bijelic

Majority of the past research on application of machine learning (ML) in earthquake engineering focused on contrasting the predictive performance of different ML algorithms. In contrast, the emphasis of this paper is on the use of data to boost the predict ...

WILEY2023