Interaction of Higher Modes in Nonlinear Free Vibration of Stiffened Rectangular Plates

Farhangdoust, Saman; Younesian, Davood; Esmailzadeh, Ebrahim

doi:10.1115/detc2017-68211

Cited by 9 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Drift and diffusion coefficients are obtained for such a system according to the previous section. Stationary probability and expected value can be calculated from (38) and (39). Figures 1 and 2 show the stationary probability density function of amplitude and velocity, respectively.…”

Section: Numerical Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic Analysis of a Plate on the Generalized Foundation with Fractional Damping Subjected to Random Excitation

Hosseinkhani

Younesian

Farhangdoust

2018

Mathematical Problems in Engineering

Self Cite

View full text Add to dashboard Cite

Stochastic response of a plate on the generalized foundation driven by random excitation is solved in this paper. Governing differential equation is obtained by employing the Galerkin method. The generalized harmonic function technique is applied to the governing equation of motion. Using the stochastic averaging method (SAM), the system is approximated by the time homogeneous diffusive Markov process. Corresponding approximate stationary probability function is achieved by solving associated FokkerPlank-Kolmogorov (FPK). An analytical solution is presented for the stationary probability of the amplitude and velocity. Validity of the stationary probability is verified by Monte-Carlo simulation. Parametric study is carried out to investigate effects of foundation parameters and excitation intensity on the stationary probability function. It is found that the fractional properties act similar to the foundation stiffness and damping and can be employed as a new control parameter for the support design.

show abstract

Section: Numerical Resultsmentioning

confidence: 99%

“…At this stage, the Galerkin method is employed to solve the motion equation which suggests the following solution for a simple-supported plate [39]:…”

Section: Mathematical Modelingmentioning

confidence: 99%

Dynamic Analysis of a Plate on the Generalized Foundation with Fractional Damping Subjected to Random Excitation

Hosseinkhani

Younesian

Farhangdoust

2018

Mathematical Problems in Engineering

Self Cite

View full text Add to dashboard Cite

show abstract

“…Vibration techniques are used to evaluate the condition of the elements by considering the mechanical properties reflected in their dynamic behavior (Hosseinkhani et al 2018). Changes in modal frequencies and modal shapes are among structural response parameters that can be affected by defects in the structure (Farhangdoust et al 2017). Accelerometers, displacement and velocity sensors are the three types of sensors for monitoring the vibration characteristics of a structure.…”

Section: Fig 18 a Schematic Layout For Laser Ultrasonic Testingmentioning

confidence: 99%

Health Monitoring of Closure Joints in Accelerated Bridge Construction: A Review of Non-Destructive Testing Application

Farhangdoust

Mehrabi

2019

ACT

Self Cite

View full text Add to dashboard Cite

Accelerated Bridge Construction (ABC) uses prefabricated elements that are made continuous using cast-in-place joints. Deck joints are normally referred to as "Closure Joints." There have been concerns about long-term durability of these joints that are expected to become rapidly serviceable. Normally, they contain reinforcing bars and enclosures of various shapes that in some cases create congestion within the joint. The specific nature of the joint application, in-situ casting, curing, material incompatibility, cold joints, cavities and steel congestion contribute to creating the potential for leaving defects and anomalies in the closure joints. This, in turn, results in a higher potential for exposure and other detrimental effects with possible degradation in time, and therefore reducing the strength and serviceability of the joint, hence creating a weak link for the structure. The long-term deflections and environmental loading will only exacerbate the situation. Hence, evaluation and health monitoring of the closure joints becomes inevitable. Despite the wide use of non-destructive testing (NDT) methods for bridge structures in general, a concerted attempt for categorization of these methods, comparison of capabilities, and selection of methods most applicable to closure joints is lacking. To address this, a research project was carried out as part of activities in the Accelerated Bridge Construction University Transportation Center (ABC-UTC) of Florida International University. This study included a comprehensive literature review with a focus on NDT methods applicable to health monitoring of ABC closure joints. The study focused on joint types relevant to precast concrete decks commonly used for ABC bridges, therefore, FRP (fiber reinforced plastic), timber (wood), and steel of any shape were excluded for the time being. The study resulted in categorizing the most common closure joints in five general groups based on their features affecting the application of the NDT methods. Accordingly, the most promising NDT methods were identified taking into account the distinctive defects and anomalies associated with closure joints. These methods were evaluated for their efficacy, ease of use and other characteristic influencing their use as preferred methods for each type of joint. A flowchart was introduced to assist in selection of the most applicable NDT method to each type of defect in closure joints. This paper summarizes the results of this study.

show abstract

“…In the literature, Hamstad et al [9][10][11] have extensively worked on numerical simulations of edge-reflected AE and have demonstrated how such reflections affect AE waveforms. In addition, Farhangdoust et al [12] worked on numerical simulations for stiffened rectangular plates. Alternatively, other researchers have taken an experimental approach [13,14].…”

Section: Introductionmentioning

confidence: 99%

Single-Sensor Acoustic Emission Source Localization in Plate-Like Structures Using Deep Learning

2018

View full text Add to dashboard Cite

This paper introduces two deep learning approaches to localize acoustic emissions (AE) sources within metallic plates with geometric features, such as rivet-connected stiffeners. In particular, a stack of autoencoders and a convolutional neural network are used. The idea is to leverage the reflection and reverberation patterns of AE waveforms as well as their dispersive and multimodal characteristics to localize their sources with only one sensor. Specifically, this paper divides the structure into multiple zones and finds the zone in which each source occurs. To train, validate, and test the deep learning networks, fatigue cracks were experimentally simulated by Hsu-Nielsen pencil lead break tests. The pencil lead breaks were carried out on the surface and at the edges of the plate. The results show that both deep learning networks can learn to map AE signals to their sources. These results demonstrate that the reverberation patterns of AE sources contain pertinent information to the location of their sources.

show abstract

Interaction of Higher Modes in Nonlinear Free Vibration of Stiffened Rectangular Plates

Cited by 9 publications

References 0 publications

Dynamic Analysis of a Plate on the Generalized Foundation with Fractional Damping Subjected to Random Excitation

Dynamic Analysis of a Plate on the Generalized Foundation with Fractional Damping Subjected to Random Excitation

Health Monitoring of Closure Joints in Accelerated Bridge Construction: A Review of Non-Destructive Testing Application

Single-Sensor Acoustic Emission Source Localization in Plate-Like Structures Using Deep Learning

Contact Info

Product

Resources

About