Results 31 to 40 of about 14,032,764 (185)

Model updating of wind turbine blade cross sections with invertible neural networks

open access: yesWind Energy, 2022
Fabricated wind turbine blades have unavoidable deviations from their designs due to imperfections in the manufacturing processes. Model updating is a common approach to enhance model predictions and therefore improve the numerical blade design accuracy ...
Pablo Noever‐Castelos   +2 more
doaj   +1 more source

A Kriging Model Based Finite Element Model Updating Method for Damage Detection

open access: yesApplied Sciences, 2017
Model updating is an effective means of damage identification and surrogate modeling has attracted considerable attention for saving computational cost in finite element (FE) model updating, especially for large-scale structures.
Xiuming Yang   +3 more
doaj   +1 more source

Reduction-Based Model Updating of a Scaled Offshore Platform Structure [PDF]

open access: yes, 2010
This paper attempts to develop a reduction-based model updating technique for jacket offshore platform structure. A reduced model is used instead of the direct finite-element model of the real structure in order to circumvent such difficulties as huge ...
Li H, Ding H, 丁桦
core   +1 more source

Structural health monitoring through advanced model updating incorporating uncertainties [PDF]

open access: yes, 2017
This research developed comprehensive model updating systems for real structures including a hybrid approach which enhanced existing deterministic model updating techniques by providing measures to incorporate uncertainties in a computationally efficient
Kodikara, Kodikara Arachchige Tharindu Lakshitha
core   +1 more source

Finite element model updating and damage identification using semi-rigidly connected frame element and optimization procedure : an experimental validation

open access: yes, 2023
Owing to ever-increasing complexity of engineering structures, developing a methodology for the early detection of defects has become crucial to ensure their long-term safety and reliability with the least amount of expense.
Kourehli, Seyed Sina   +6 more
core   +1 more source

Damage Identification for Underground Structure Based on Frequency Response Function

open access: yesSensors, 2018
Damage identification that is based on modal analysis is widely used in traditional structural damage identification. However, modal analysis is difficult in high damping structures and modal concentrated structures.
Shengnan Wang   +3 more
doaj   +1 more source

Deterioration assessment of buildings using an improved hybrid model updating approach and long-term health monitoring data [PDF]

open access: yes, 2019
In recent years, it has become increasingly important to develop methodologies for reliable deterioration assessment of civil structures over their life-cycle to facilitate maintenance and/or rehabilitation planning processes.
Nguyen, Andy   +3 more
core   +1 more source

Field-Test-Driven Sensitivity Analysis and Model Updating of Aging Railroad Bridge Structures Using Genetic Algorithm Optimization Approach

open access: yesInfrastructures
Aging railroad bridges present complex challenges due to advancing deterioration and outdated design assumptions. This study develops a comprehensive analytical approach for assessing an aging steel truss railroad bridge through finite element (FE ...
Rahul Anand   +3 more
doaj   +1 more source

Model predictive control of a crude oil distillation column [PDF]

open access: yesModeling, Identification and Control, 1999
The project of designing and implementing model based predictive control on the vacuum distillation column at the Nynäshamn Refinery of Nynäs AB is described in this paper.
Morten Hovd   +2 more
doaj   +1 more source

Model updating incorporating measured response uncertainties and confidence levels of tuning parameters [PDF]

open access: yes, 2016
Automated model updating of real civil engineering structures is often very challenging due to the presence of different degrees of uncertainty in measured responses and confidence levels of the tuning parameters used.
David P. Thambiratnam   +7 more
core   +1 more source

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