Results 21 to 30 of about 7,408,303 (251)

Artificial-Neural-Network-Based Surrogate Models for Structural Health Monitoring of Civil Structures: A Literature Review

open access: yesBuildings, 2022
It is often computationally expensive to monitor structural health using computer models. This time-consuming process can be relieved using surrogate models, which provide cheap-to-evaluate metamodels to replace the original expensive models.
Armin Dadras Eslamlou, Shiping Huang
doaj   +1 more source

Damage Identification of Turnout Rail through a Covariance-Based Condition Index and Quantitative Pattern Analysis

open access: yesInfrastructures, 2023
Subjected to complex loadings from the wheel–rail interaction, turnout rail is prone to crack damage. This paper aims to develop a condition evaluation method for crack-alike damage detection of in-service turnout rail.
Jun-Fang Wang, Jian-Fu Lin, Yan-Long Xie
doaj   +1 more source

Influence of the blade size on the dynamic characteristic damage identification of wind turbine blades

open access: yesNonlinear Engineering, 2023
In this article, the sensitivity coefficients of dynamic characteristic damage identification of blades with different sizes were investigated. The results show that the first third-order vibration modes of the blade before and after damage are ...
Chen Peng, Chen Bei
doaj   +1 more source

A Novel Fault Diagnosis Method Based on SWT and VGG-LSTM Model for Hydraulic Axial Piston Pump

open access: yesJournal of Marine Science and Engineering, 2023
Since the hydraulic axial piston pump is the engine that drives hydraulic transmission systems, it is widely utilized in aerospace, marine equipment, civil engineering, and mechanical engineering.
Yong Zhu   +5 more
doaj   +1 more source

Experimental characterization and numerical modeling of micromechanical damage under different stress states [PDF]

open access: yes, 2013
The use of HSLA steels for the manufacture of automotive components is interesting from an engineering point of view. This family of steels, while possessing high strength, also has good formability and can be used in forming manufacturing processes.
ACHOURI, Mohamed   +3 more
core   +5 more sources

Modal identification of damaged frames

open access: yesStructural Control and Health Monitoring, 2015
Summary The paper investigates the possibility of identifying localised damages for multi-span and multi-floor linear elastic frames using only natural frequencies measured in the undamaged and damaged configurations. Namely, frames of increasing complexity are studied by exploring one by one their significant substructures (i.e.
Diaferio, Mariella, SEPE, VINCENZO
openaire   +4 more sources

A Novel Damage Identification Method for Steel Catenary Risers Based on a Novel CNN-GRU Model Optimized by PSO

open access: yesJournal of Marine Science and Engineering, 2023
As a new type of riser connecting offshore platforms and submarine pipelines, steel catenary risers (SCRs) are generally subject to waves and currents for a long time, thus it is significant to fully evaluate the SCR structure’s safety.
Zhongyan Liu   +4 more
doaj   +1 more source

MONITORING AND IDENTIFICATION OF STRUCTURAL DAMAGES

open access: yesMechanika, 2011
This paper presents the investigation of structural damage identification methods based on results of numerical modeling and deformation monitoring. Solution of deformed body mechanics task by contradiction describing the structure mechanical condition according to its loading and deformation nature is proposed.
Petkevičius, K.   +4 more
openaire   +2 more sources

Interferometric Techniques in Structural Damage Identification [PDF]

open access: yesShock and Vibration, 2012
This paper describes several interferometric techniques and their applications in structural damage identification. With that objective in mind, damaged aluminum beams with clamped-free and free-free boundary conditions are analyzed. Different damages cases are inflicted by creating small cuts perpendicular to the beams longitudinal axis, being the ...
Lopes, Hernani   +2 more
openaire   +4 more sources

Surface Damage Identification of Wind Turbine Blade Based on Improved Lightweight Asymmetric Convolutional Neural Network

open access: yesApplied Sciences, 2023
Wind turbine blades are readily damaged by the workplace environment and frequently experience flaws such as surface peeling and cracking. To address the problems of cumbersome operation, high cost, and harsh application conditions with traditional ...
Li Zou, Haowen Cheng, Qianhui Sun
doaj   +1 more source

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