A stabilized piezolaminated nine-nodded shell element formulation for analyzing smart structures behaviors

Struct Control Health Monit

Pourtakdoust

2018

Summary The utility of probability density evolution method for reliability‐based active vibration control of a cantilevered flexible beam is experimentally investigated. In this respect, an optimal linear quadratic regulator (LQR) is utilized together with an observer to design an online full‐state feedback controller. In order to design a well‐performing controller and to simulate the controller performance, a system model is obtained via identification techniques. Reliability tests are consequently performed to verify the effectiveness of the presented reliability assessment method as a foundation for reliability‐based control. Subsequently, a hybrid metaheuristic optimization scheme of continuous ant colony system is used for simultaneous integrated tuning of the LQR and observer parameters through all processes. Optimization of the controller and the observer is performed with the objective of system structural reliability. An optimized version of classical LQR controller is also developed for making comparisons between the two control methods. Finally, a comparison is made between the mean power consumption of the 2 controllers. It is realized that the reliability‐based controller decreases operating costs without compromising system safety.

Section: Experimental Validation Of Psrp Methodsmentioning

confidence: 99%

Utility of probability density evolution method for experimental reliability-based active vibration control

Struct Control Health Monit

Pourtakdoust

2018

“…The WSC model is divided into span-wise sections along the wing elastic axis (EA). Afshari, 2016) and the detailed Finite Element Piezolaminated Plate (FEPP) model of WSC used for modeling of the piezoceramic sensor responses is shown in Figure 7. For finite element formulation, the displacement of the element can be evaluated using the nodal DOFs.…”

Section: Wing Description and Stochastic Measurement Datamentioning

confidence: 99%

“…For finite element formulation, the displacement of the element can be evaluated using the nodal DOFs. Now, using in-plane strain tensor, and its decomposition to the membrane and bending strains, the covariant strain tensors can be calculated in the local physical coordinate (Hosseini Kordkheili et al, 2016). In order to attain SHM data, the electromechanical behavior of the piezo-laminated shell is simulated using the work done by external mechanical forces F q and electric charges F ϕ as:…”

Section: Wing Description and Stochastic Measurement Datamentioning

confidence: 99%

See 1 more Smart Citation

Probability Density Evolution for Time-Varying Reliability Assessment of Wing Structures

Pourtakdoust

2018

Aviation

Reliability evaluation is a key factor in serviceability and safety analysis of air vehicles. Structural health monitoring methods have grown to a degree of maturity in many industries. However, there is a challenging interest to tie in SHM with reliability assessment. In this respect, consideration of stochastic structural dynamics with SHM data and random loadings opens a new chapter in failure prevention. The current study focuses on the stochastic behavior of structures as a way to relate SHM data with reliability. In this respect, uncertain factors such as atmospheric turbulence, structural parameters, and sensor outputs are considered in the process of reliability assessment. Firstly, an experimental evaluation is conducted using a simple cantilevered beam. Subsequently, system identification is weaved in with a probability density evolution equation for calculating the reliability of a wing structural component. Numerical simulations demonstrate that structural reliability of a typical WSC can be effectively evaluated. The proposed scheme paves the way for new SHM research topics such as online life prediction and reliability based failure prevention.

“…They showed that exponential tapering may lead to extract more voltage and power per mass of the piezoelectric energy harvester. Both conventional FEM software (Avsar and Sahin, 2016; Benasciutti et al, 2010; Farnsworth et al, 2014) and finite element formulations (De Marqui et al, 2009; Hosseini Kordkheili et al, 2016; Lumentut and Howard, 2014) are also applied to model the linear piezoelectric energy harvester by applying finite element method.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the shaping function of a tapered piezoelectric energy harvester using tabu continuous ant colony system

Salmani

Rahimi

Journal of Intelligent Material Systems and Structures

2019

During the past years, the development of piezoelectric energy harvesters is extensively increased for providing the required energy of sensor nodes. It has been proven that changing the beam’s cross-section along its length direction may lead to extract more power with less mass. In this article, a hybrid metaheuristic algorithm called tabu continuous ant colony system is employed to optimize the tapered piezoelectric energy harvester in a fast and course manner. The exponential and fourth-order polynomial functions are considered as shaping functions for tapering the beam’s width along its length direction. An experiment is also set up to evaluate the performance of the optimization algorithm for the case of exponential shaping function. Finally, the algorithm is applied to optimize the voltage and power per mass of both shaping functions of the tapered piezoelectric energy harvester at the specified excitation frequency.