A5088566381- Probabilistic and Robust Engineering Design
- Wind and Air Flow Studies
- Acoustic Wave Phenomena Research
- Model Reduction and Neural Networks
- Computational Fluid Dynamics and Aerodynamics
- Aerodynamics and Acoustics in Jet Flows
- Noise Effects and Management
- Structural Health Monitoring Techniques
- Meteorological Phenomena and Simulations
- Advanced Multi-Objective Optimization Algorithms
- Underwater Acoustics Research
- Fluid Dynamics and Vibration Analysis
- Vibration and Dynamic Analysis
- Fluid Dynamics and Turbulent Flows
- Energy Efficient Wireless Sensor Networks
- Fault Detection and Control Systems
- Indoor and Outdoor Localization Technologies
- Target Tracking and Data Fusion in Sensor Networks
- Image and Signal Denoising Methods
- Bladed Disk Vibration Dynamics
- Hearing Loss and Rehabilitation
- Gaussian Processes and Bayesian Inference
- Scientific Research and Discoveries
- Aerodynamics and Fluid Dynamics Research
- Distributed Sensor Networks and Detection Algorithms
United States Naval Academy
2014-2023
United States Army
2021
U.S. Army Engineer Research and Development Center
2021
Cold Regions Research and Engineering Laboratory
2021
United States Navy
2009-2018
Texas Tech University
2015-2016
Teledyne e2v (United Kingdom)
2009
United States Air Force Research Laboratory
2002-2006
Wright-Patterson Air Force Base
1996-2005
United States Air Force
1996
Static and dynamic aeroelasticity considerations are a particularly important component of airframe design because they often control safety performance. Consequently, the impact uncertainty on aeroelastic response prediction has begun to receive substantial attention in research literature. In this paper, general sources that complicate testing briefly described. Recent applications quantification various problems, for example, flutter flight testing, limit-cycle oscillations, optimization...
A computationally efficient procedure for quantifying uncertainty and finding significant parameters of models is presented. To deal with the random nature input structural models, several probabilistic methods are investigated. Specifically, polynomial chaos expansion Latin hypercube sampling used to represent response an uncertain system. employed evaluating generalized Fourier coefficients expansion. Because key challenge in analysis find most components that drive variability, variance...
During dynamic atomic force microscopy (AFM), the deflection of a scanning cantilever generates multiple frequency terms due to nonlinear nature AFM tip-sample interactions. Even though each term is reasonably expected encode information about sample, only fundamental typically decoded provide topographic mapping measured surface. One main reasons for discarding higher harmonic signals their low signal-to-noise ratio. Here, we introduce new design concept multi-harmonic AFM, exploiting...
Reliability-based weight optimization of a generic, e ghter-like wing structure is conducted for gust response and aileron effectiveness constraints. The formulation accounts parametric uncertainties in these aeroelastic quantities. Reliability indices measure the probability satisfying each constraint, preliminary design procedure developed which constraints are enforced on indices. This framework integrates ASTROS structural loads analysis, object-oriented MATLAB ® tools reliability DOT...
Introduction T HE need for revolutionizingmethods of assessing aeroelastic stabilityhas become increasinglypressing in recentyears.This is driven primarily by two factors: 1) the desire to reduce total cost certi cation reducing testing requirements, and 2) emergence unique design concepts provide impressive performance military applications.A common feature these designs that they substantially increase potential nonlinear behavior beyond levels can be adequately addressed current...
The accuracy of outdoor sound propagation predictions is often limited by imperfect knowledge the atmospheric and ground properties, random environmental variations such as turbulence. This article describes impact uncertainties, how they can be efficiently addressed quantified with stochastic sampling techniques Monte Carlo Latin hypercube (LHS). Extensions to these techniques, importance based on simpler, more efficient models, adaptive sampling, are described. A relatively simple example...
Abstract The response of a fluid moving above panel to localized oscillation the is predicted using reduced‐order modelling (ROM) with proper orthogonal decomposition technique. flow assumed be inviscid and modelled Euler equations. These non‐linear equations are discretized total‐variation diminishing algorithm projected onto an energy‐optimal subspace defined by energy‐threshold criterion applied modal representation time series data. Results obtained for bump oscillating in Mach 1.2 flow....
Monte Carlo simulation was used to analyze the aeroelastic response of a typicalsection airfoil subject uncertainties in key aerodynamic and structural dynamic parameters. When results were compute coe‐cients Hermite-chaos expansion, di‐culties arose at large times modeling probabilistic system limit-cycle oscillation; particular, simulated time histories consistently decayed zero times. A sinusoidal model problem analyzed clarify issues responsible for these di‐culties, which do not appear...
Outdoor sound propagation predictions are compromised by uncertainty and error in the atmosphere terrain representations, sometimes also simplified or incorrect physics. A model’s predictive power, i.e., its accurate representation of propagation, cannot be assessed without first quantifying ensemble pressure variability sensitivity to uncertainties governing parameters. This paper describes fundamental steps toward this goal for a single-frequency point source. The atmospheric surface layer...
Boundaries of limit-cycle oscillation onset are computed using proper orthogonal decomposition for a nonlinear panel in supersonic flow. The governing structural dynamics equation is the large-deflection, nonlinear, von Karman pinned panel, and flow equations Euler equations. Onset accurately efficiently predicted with bifurcation analysis, as applied to coupled set reduced-order aerodynamic Nonlinear responses panels away from critical conditions obtained reduced-order, time-domain,...
A cyclic method was developed to compute directly the stochastic response of limitcycle oscillations in an aeroelastic system subject parametric uncertainties. The is a typical-section airfoil incompressible flow with nonlinear behavior modeled torsional structural coupling. imposed nonlinearities cause formation subcritical Hopf bifurcation, associated presence fold at reduced velocities below point, and large-amplitude limit cycles above point. cubic component pitch stiness treated as...
The probabilistic response of a nonlinear panel in supersonic flow is investigated using new computational methodology. aeroelastic system modelled by coupling the von Karman plate equations with piston theory aerodynamics. Baseline deterministic results are compared to published data establish validity model. Uncertainties modulus elasticity and boundary conditions (BCs) considered, their impact on being quantified terms limit-cycle oscillation (LCO) onset pressure amplitude. panel's...