Rapid seismic damage evaluation of bridge portfolios using machine learning techniques

S Mangalathu, SH Hwang, E Choi, JS Jeon - Engineering Structures, 2019 - Elsevier
The damage state of a bridge has significant implications on the post-earthquake
emergency traffic and recovery operations and is critical to identify the post-earthquake …

Structural reliability and stochastic finite element methods: State-of-the-art review and evidence-based comparison

M Aldosary, J Wang, C Li - Engineering Computations, 2018 - emerald.com
Purpose This paper aims to provide a comprehensive review of uncertainty quantification
methods supported by evidence-based comparison studies. Uncertainties are widely …

[HTML][HTML] A holistic review of GM/IM selection methods from a structural performance-based perspective

M Zaker Esteghamati - Sustainability, 2022 - mdpi.com
Current fully probabilistic approaches to performance-based earthquake engineering
describe structures' behavior under a wide range of seismic hazard levels. These …

Stripe‐based fragility analysis of multispan concrete bridge classes using machine learning techniques

S Mangalathu, JS Jeon - Earthquake Engineering & Structural …, 2019 - Wiley Online Library
A framework for the generation of bridge‐specific fragility curves utilizing the capabilities of
machine learning and stripe‐based approach is presented in this paper. The proposed …

Performance-based seismic assessment of shield tunnels by incorporating a nonlinear pseudostatic analysis approach for the soil-tunnel interaction

Y Zou, Y Zhang, H Liu, H Liu, Y Miao - Tunnelling and Underground Space …, 2021 - Elsevier
The purpose of this study is to present an efficient and reasonable methodology to evaluate
the seismic fragility of shield tunnels based on investigating the seismic performance of …

Seismic fragility analysis of RC frame-shear wall structure under multidimensional performance limit state based on ensemble neural network

DW Jia, ZY Wu - Engineering Structures, 2021 - Elsevier
An improved seismic fragility analysis method without any assumption on the distribution of
the target engineering demand parameter is proposed based on an ensemble neural …

[HTML][HTML] Seismic risk-informed prioritisation of multi-span RC girder bridges considering knowledge-based uncertainty

A Nettis, D Raffaele, G Uva - Bulletin of Earthquake Engineering, 2024 - Springer
In earthquake-prone countries, transport network managers need to perform extensive
seismic risk assessments coping with a considerable number of bridges characterised by an …

Impact of seismic excitation direction on the fragility analysis of horizontally curved concrete bridges

R Feng, X Wang, W Yuan, J Yu - Bulletin of Earthquake Engineering, 2018 - Springer
The focus of this study is the impact of the seismic excitation direction on the fragility of
horizontally curved bridges. Nonlinear time history analyses are performed on a typical …

Critical assessment of intensity measures for seismic response of Italian RC bridge portfolios

C Zelaschi, R Monteiro, R Pinho - Journal of Earthquake …, 2019 - Taylor & Francis
The seismic assessment of a road network depends largely on the characterization of the
fragility of its bridge components. The accuracy of bridge seismic demand estimates and the …

Probabilistic seismic performance analysis of RC bridges

A Mosleh, J Jara, MS Razzaghi… - Journal of Earthquake …, 2020 - Taylor & Francis
This paper focuses on the evaluation of the seismic vulnerability of pre-1990 highway
concrete bridges, based on the development of analytical fragility curves. The parameters …