About

Mallory M. Meehan is an Associate Clinical Professor of Real Estate and the Associate Director of the Department of Risk Management at the Smeal College of Business. She is a licensed attorney, realtor, and appraiser with a background in brokerage, property management, and investment, and has worked in various consulting capacities. Her teaching focuses on the legal implications of real estate, market analysis, and financial risks associated with investing in commercial properties. As a real estate and business owner, she emphasizes bringing real-time data into the classroom to teach students how to become investors. Her expertise includes short-term rentals, student housing, implications of local laws on real estate, and tax implications for homeowners and investors. She has an extensive educational background with a JD, MBA in Marketing and Entrepreneurship (Real Estate), and a BS in Marketing and Finance, all from The Pennsylvania State University. Dr. Meehan teaches a variety of courses related to real estate analysis, negotiations, development, risk management, and capital markets, preparing students for industry certification exams and real-world real estate decision-making.

Research topics

• Mechanics
• Physics
• Thermodynamics
• Meteorology
• Classical mechanics
• Geometry
• Computational physics
• Atomic physics
• Statistical physics
• Mathematics

Selected publications

• Richardson and Reynolds number effects on the near field of buoyant plumes: temporal variability and puffing

  Journal of Fluid Mechanics · 2022 · 11 citations

  1st authorCorresponding
  • Mechanics
  • Physics
  • Thermodynamics

  Using numerical simulations, we investigate the near-field temporal variability of axisymmetric helium plumes as a function of inlet-based Richardson ( ${Ri}_0$ ) and Reynolds ( ${Re}_0$ ) numbers. Previous studies have shown that ${Ri}_0$ plays a leading-order role in determining the frequency at which large-scale vortices are produced (commonly called the ‘puffing’ frequency). By contrast, ${Re}_0$ dictates the strength of localized gradients, which are important during the transition from laminar to turbulent flow. The simulations presented here span a range of ${Ri}_0$ and ${Re}_0$ , and use adaptive mesh refinement to achieve high spatial resolutions. We find that as ${Re}_0$ increases for a given ${Ri}_0$ , the puffing motion undergoes a transition at a critical ${Re}_0$ , marking the onset of chaotic dynamics. Moreover, the critical ${Re}_0$ decreases as ${Ri}_0$ increases. When the puffing instability is non-chaotic, time series of different variables are well-correlated, exhibiting only modest changes in the dynamics (including period doubling and flapping). Once the flow becomes chaotic, denser ambient fluid penetrates the core of the plume, similar to penetrating ‘spikes’ formed by Rayleigh–Taylor instabilities, leading to only moderately correlated flow variables. These changes result in a non-trivial dependence of the puffing frequency on ${Re}_0$ . Specifically, at sufficiently low ${Re}_0$ , the puffing frequency falls below the prediction from Wimer et al. ( J. Fluid Mech. , vol. 895, 2020). As ${Re}_0$ increases beyond the critical ${Re}_0$ , the puffing frequency increases and then drops back down to the predicted scaling. The dependence of the puffing frequency on ${Re}_0$ provides a possible explanation for previously observed changes in the scaling of the puffing frequency for high ${Ri}_0$ .

  DOI

• Lagrangian analysis of enstrophy dynamics in a highly turbulent premixed flame

  Physics of Fluids · 2021 · 15 citations

  • Physics
  • Mechanics
  • Classical mechanics

  A Lagrangian analysis approach is used to examine the effects of heat release on the dynamics of the enstrophy during highly turbulent premixed combustion. The analysis is performed using data from a direct numerical simulation of a statistically planar premixed methane–air flame at a Karlovitz number of 100. Through cumulative, conditional, and correlation analyses, we show, consistent with prior studies, that vortex stretching and baroclinic torque both increase enstrophy at these highly turbulent conditions, while viscous transport and dilatation both lead to enstrophy destruction. However, although vortex stretching and viscous transport are individually an order of magnitude greater than all other terms in the enstrophy budget, the cumulative and combined effect of these two terms along Lagrangian trajectories is roughly only twice as large as the combined cumulative effect of dilatation and baroclinic torque. Moreover, trajectories that exhibit an increase in enstrophy through the flame are found to frequently have cumulative contributions from budget terms outside a single standard deviation of the mean contribution, indicating that enstrophy production at such highly turbulent conditions is associated with relatively infrequent but large values of dynamical terms. Lagged correlations further reveal a small but measurable contribution of baroclinic torque in enstrophy production, but these increases are overwhelmed, on average, by concurrent decreases in enstrophy due to viscous transport and dilatation. Taken together, these results provide further understanding of enstrophy dynamics in highly turbulent premixed flames.

  DOI

• Numerical simulations of buoyancy-driven flows using adaptive mesh refinement: structure and dynamics of a large-scale helium plume

  Theoretical and Computational Fluid Dynamics · 2020 · 11 citations

  • Mechanics
  • Physics
  • Computational physics
  DOI

Frequent coauthors

• Peter E. Hamlington

  17 shared

• Jacqueline O’Connor

  Pennsylvania State University

  7 shared

• Nicholas T. Wimer

  7 shared

• Samuel Whitman

  University of Colorado Boulder

  5 shared

• Kelsea O. Souders

  University of Colorado System

  4 shared

• Ankit Tyagi

  3 shared

• Zachary Berger

  2 shared

• Renee Dorer

  Pennsylvania State University

  2 shared

Education

• Doctor of Science, Mechanical Engineering

  University of Colorado Boulder

  2022

• Bachelor of Science, Mechanical Engineering

  Pennsylvania State University

  2017

Similar researchers at Pennsylvania State University

• Long-Qing Chenh-150
• Qin Wangh-123
• Richard Alleyh-120
• William H. Bruneh-99
• Ayusman Senh-96