Digital image correlation advances in structural evaluation applications: a review

RC Oats, Q Dai, M Head - Practice Periodical on Structural Design …, 2022 - ascelibrary.org
Structural evaluations are important for monitoring performance and behavior changes that
occur due to environmental or other loading conditions. As a renowned experimental …

AI-enabled indirect bridge strain sensing using field acceleration data

SS Eshkevari, D Sen, SS Eshkevari… - Computers & …, 2024 - Elsevier
Life-cycle performance assessment of bridges is crucial for decisions pertaining to
functionality, maintenance, and rehabilitation while accounting for inherent epistemic and …

Hybrid data+ model‐based submodeling method for a refined response estimation at critical locations

B Valeti, SN Pakzad - Structural Control and Health Monitoring, 2021 - Wiley Online Library
The complex geometry of structural components results in uneven stress distribution in
structures under loading. The regions with stress concentrations often act as critical …

Bridge load classifier based on deep learning for structural displacement correlation

W Flores-Fuentes - Programming and Computer Software, 2020 - Springer
Advanced computing brings opportunities for innovation in a broad gamma of applications.
Traditional practices based on visual and manual methods tend to be replaced by cyber …

AI support for bridge SHM and life cycle assessment

G Marasco, SN Pakzad - Bridge Maintenance, Safety …, 2024 - taylorfrancis.com
This paper focuses on opportunities that AI models bring to the monitoring and life cycle
assessment of bridge structures. The paper examines different phases of data collection and …

Uncertainty quantification in digital image correlation for experimental evaluation of deep learning based damage diagnostic

NS Gulgec, M Takáč, SN Pakzad - Structure and Infrastructure …, 2021 - Taylor & Francis
As the temporal and spatial resolution of monitoring data drastically increases by advances
in sensing technology, structural health monitoring applications reach the thresholds of big …

Artificial Intelligence-Aided Strategies for Structural Health Monitoring and Control

SS Eshkevari - 2024 - search.proquest.com
Structural resilience is an essential prospect for engineers to obtain and ensure the
structure's ability to withstand or recover from an operational or adverse demand. Seeking …

Uncertainty propagation in a hybrid data-driven and physics-based submodeling method for refined response estimation

B Valeti, SN Pakzad - … Validation and Uncertainty Quantification, Volume 3 …, 2020 - Springer
Higher accuracy in estimation of stress distribution, especially in the critical locations with
stress variation, is important for a more reliable prediction of possible damage or prognosis …

[HTML][HTML] Классификатор изображений транспортных средств для определения корреляции их воздействия со смещением координат моста

В Флорес-Фуэнтес - Труды Института системного …, 2021 - cyberleninka.ru
Современные компьютерные технологии открывают возможности для инноваций в
широком спектре приложений. На смену традиционным подходам, в основе которых …

Data-Driven and Hybrid Techniques for Localized Health Monitoring and Prognosis of Structures

B Valeti - 2021 - search.proquest.com
The aging infrastructure across industries, such as energy and transportation, are
continuously subjected to operational and environmental loads. Condition-based …