Contact mechanics for dynamical systems: a comprehensive review
P Flores - Multibody System Dynamics, 2022 - Springer
This work reviews the main techniques to model dynamical systems with contact-impact
events. Regularized and non-smooth formulations are considered, wherein the fundamental …
events. Regularized and non-smooth formulations are considered, wherein the fundamental …
Seismic pounding between adjacent buildings: Identification of parameters, soil interaction issues and mitigation measures
Structural pounding has been observed in many previous earthquakes due to insufficient
gap commonly provided between adjacent structures. The collisions usually generate large …
gap commonly provided between adjacent structures. The collisions usually generate large …
Data‐driven rapid damage evaluation for life‐cycle seismic assessment of regional reinforced concrete bridges
Rapid and accurate post‐earthquake damage evaluation of regional reinforced concrete
(RC) bridges is a key issue for assessing the seismic resilience of cities and communities …
(RC) bridges is a key issue for assessing the seismic resilience of cities and communities …
Seismic performance of bridges with novel SMA cable‐restrained high dam** rubber bearings against near‐fault ground motions
This study presents a novel type of shape memory alloy (SMA) cable‐restrained high
dam** rubber (SMA‐HDR) bearing, which is particularly suited to near‐fault (NF) regions …
dam** rubber (SMA‐HDR) bearing, which is particularly suited to near‐fault (NF) regions …
Seismic fragility methodology for highway bridges using a component level approach
BG Nielson, R DesRoches - Earthquake engineering & …, 2007 - Wiley Online Library
Bridge fragility curves, which express the probability of a bridge reaching a certain damage
state for a given ground motion parameter, play an important role in the overall seismic risk …
state for a given ground motion parameter, play an important role in the overall seismic risk …
Machine-learning interpretability techniques for seismic performance assessment of infrastructure systems
Abstract Machine-learning has recently gained considerable attention in the earthquake
engineering community, as it can map the complex relationship between the expected …
engineering community, as it can map the complex relationship between the expected …
Cloud-IDA-MSA conversion of fragility curves for efficient and high-fidelity resilience assessment
In performance-based earthquake engineering framework, seismic fragility functions play a
fundamental role for quantifying the seismic resilience. There are three main approaches for …
fundamental role for quantifying the seismic resilience. There are three main approaches for …
Artificial neural network based multi-dimensional fragility development of skewed concrete bridge classes
Recent researches are directed towards the regional seismic risk assessment of structures
based on a bridge inventory analysis. The framework for traditional regional risk …
based on a bridge inventory analysis. The framework for traditional regional risk …
Rapid seismic damage evaluation of bridge portfolios using machine learning techniques
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 …
emergency traffic and recovery operations and is critical to identify the post-earthquake …
LSTM, WaveNet, and 2D CNN for nonlinear time history prediction of seismic responses
Predicting the nonlinear time-history responses of civil engineering structures under seismic
loading remains an essential task in earthquake engineering. This paper explores the …
loading remains an essential task in earthquake engineering. This paper explores the …