diff --git a/content/authors/michael_meehan/_index.md b/content/authors/michael_meehan/_index.md index 6d4161af..c51fb968 100644 --- a/content/authors/michael_meehan/_index.md +++ b/content/authors/michael_meehan/_index.md @@ -10,15 +10,15 @@ authors: superuser: false # Role/position -role: Postdoctoral Research Associate +role: PostDoctoral Associate # Organizations/Affiliations organizations: -- name: Sandia National Laboratories - url: "https://www.sandia.gov/" +- name: University of Colorado Boulder + url: "" # Short bio (displayed in user profile at end of posts) -bio: Mike is a former research associate in the Paul M. Rady Department of Mechanical Engineering at the University of Colorado Boulder and also a former student in the Turbulence and Energy Systems Laboratory, earned his PhD in May 2022. +bio: Mike is a graduate student using computation fluid dynamics to understand fundamental physics for combustion applications. interests: - Buoyancy-driven flows @@ -65,6 +65,6 @@ email: "michael.a.meehan@colorado.edu" # Organizational groups that you belong to (for People widget) # Set this to `[]` or comment out if you are not using People widget. user_groups: -- Alumni +- Researchers --- -Mike graduated from the University of Colorado Boulder in May 2022 with a PhD in Mechanical Engineering. As a member of TESLa, Mike focused on two main area: highly buoyancy driven flows with applications to industrial burners and large scale fires, and turbulent flame configurations with applications to Air Force relevant problems. +Mike’s research focuses on two main area: highly buoyancy driven flows with applications to industrial burners and large scale fires, and turbulent flame configurations with applications to Air Force relevant problems. In both situations, adaptive mesh refinement (AMR) can be used to help reduce computational cost when dealing with the large separation of temporal and spatial scales. A number of advanced analysis techniques using [yt](https://yt-project.org/) to statistically investigate moments, fluxes, kinetic energy, and enstrophy. Additionally, Mike uses modal decompositions, such as proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD), to investigate unsteady dynamics and large-scale structures. Mike was funded by the National Science Foundation Graduate Research Fellowship under Grant No. DGE 1650115. diff --git a/content/publication/meehan-2022-efficient/cite.bib b/content/publication/meehan-2022-efficient/cite.bib deleted file mode 100644 index 0a0ae5c6..00000000 --- a/content/publication/meehan-2022-efficient/cite.bib +++ /dev/null @@ -1,10 +0,0 @@ -@article{meehan2022efficient, - author = {Meehan, Michael A and Simons-Wellin, Sam and Hamlington, Peter E}, - journal = {Journal of Computational Physics}, - pages = {111527}, - publisher = {Elsevier}, - title = {Efficient algorithm for proper orthogonal decomposition of block-structured adaptively refined numerical simulations}, - volume = {469}, - year = {2022} -} - diff --git a/content/publication/meehan-2022-efficient/index.md b/content/publication/meehan-2022-efficient/index.md deleted file mode 100644 index a0da41f8..00000000 --- a/content/publication/meehan-2022-efficient/index.md +++ /dev/null @@ -1,43 +0,0 @@ ---- -# Documentation: https://sourcethemes.com/academic/docs/managing-content/ - -title: Efficient algorithm for proper orthogonal decomposition of block-structured - adaptively refined numerical simulations -subtitle: '' -summary: '' -authors: -- michael_meehan -- sam_simons_wellin -- peter_hamlington -tags: [] -categories: [] -date: '2022-08-18' -lastmod: 2023-01-22T09:50:26-07:00 -featured: false -draft: false - -# Featured image -# To use, add an image named `featured.jpg/png` to your page's folder. -# Focal points: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight. -image: - caption: '' - focal_point: '' - preview_only: false - -# Projects (optional). -# Associate this post with one or more of your projects. -# Simply enter your project's folder or file name without extension. -# E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`. -# Otherwise, set `projects = []`. -projects: [] -publishDate: '2023-01-22T16:50:26.598672Z' -publication_types: -- '2' -abstract: 'Adaptive mesh refinement (AMR) is increasingly being used to simulate fluid flows that have vastly different resolution requirements throughout the computational domain. Proper orthogonal decomposition (POD) is a common tool to extract coherent structures from flow data and build reduced order models, but current POD algorithms do not take advantage of potential efficiency gains enabled by multi-resolution data from AMR simulations. Here, we explore a new method for performing POD on AMR data that eliminates repeated operations arising from nearest-neighbor interpolation of multi-resolution data onto uniform grids. We first outline our approach to reduce the number of computations with examples and provide the complete algorithms in the appendix. We examine the computational acceleration of the new algorithms compared to the standard POD method using synthetically generated AMR data and operation counting. We then use CPU times and operation counting to analyze data from an AMR simulation of an axisymmetric buoyant plume, finding that we are able to reduce the computational time by a factor of approximately 2 − 5 when using three levels of grid refinement. The new POD algorithm is the first to eliminate redundant operations for matrix multiplications with repeated values in each matrix, making it ideal for POD of data from AMR simulations.' -publication: '*Journal of Computational Physics*' -url_pdf: "https://pdf.sciencedirectassets.com/272570/1-s2.0-S0021999122X00193/1-s2.0-S0021999122005897/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEFgaCXVzLWVhc3QtMSJHMEUCIQDAjojG3XEUL2Jr92XsSf70vtmZV%2BGA8lVlo2z2RDyBnAIgcVeNOIiV3pZ4BJfeh2ztJqH1kg3nlLNQTXSNuV9Q6ogq1QQIwf%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARAFGgwwNTkwMDM1NDY4NjUiDJ%2B0x8ZW4eO7YQr%2FziqpBLb6UeoIGvzfNcSYL%2BIc9Qo8wnfDa5xQ%2BLfAkkfHYg7pHIIicE60s0YzsS4c95DUmzrmBJD7RPqTseZXoXWLevINpcEHwv4Kovov5cDp69kbSvnWMMN1RiZVSOi2LnKEvvKHHQc%2F61Khb%2FtlIweWpnWCMO7xenkg%2FnoeEA03SNyY61lfUl6mtbExqVhFSgRgqV1mUzJgL19jtoVhoufn5%2FRsnqWK0lyOxXvWUEMuQOtZN810%2BKsK%2FoCJq3mqOoca6BWkackjzgTJZDkjjB3N5eTE87YqVOHtSyuioNBeLpKnb8LAhIQejp%2BjPFaRZ2A5m63nv1so5Tzj0YJTQy%2BIOQcyZ%2FMgZ0S7UpCFAvvmfT%2B2zE853tm%2ByPprLuuNcAA6zIXLIstqyIXIjT3XxEh3jlFGklia9K%2FMywH8wziZEkpozt0aDE%2BNfQjm%2Fp6o6opCUdOi%2FMKW1WezQRSiSrxdWUZryDCaLIy0spow02RwKdugi7YsEMCpih3uN1KarDVbY0J1pnZY3tKjNWkovO%2BiQIT1BK3I4IznLgVAUnRz3y%2FlB7F81o5bybz7By0YDkmGa2CG4bSJNEt3b9%2FKPQGlL3P5LvSPQbbSD%2B6wrCQ%2FzYGdxvxqBjizlXpLD0pDX228w3xhUCJ4q3B6JHhNfWdxdpcaeP4X%2Bk%2BHPGxnFLu1SDQ9EHNeIOt4dN1yj%2FkbV5Q5gvwEFen7nqK5E3hN%2B9CFWCoSHVYikH1ux2ow66%2B1ngY6qQGf%2BlHMrzoXpKPZgN%2FSvDt9HCXcFexHCTJFSD%2FgyTMgWBy0zmV6gM9PMUBhmYT2iaoNzSoy4W6db4FeojBfdRZ5sS0SBKKRUddYc7qQbjEqS6KLyYu9O7ybPj5CqJuMvGwUXvx4gzeAsABjGw%2BGSIGSns94eF54fghwXde99%2BxcLeZCrRBHgxTfzw4Quz1F6crPB%2BdDEHrscv8KVMEaKclT0TnCraf9c5LN&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20230122T165937Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTYS4LDHAUR%2F20230122%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=c1c429bff4dd8cad8a23c84e405b13748c21f84f22eb87cf2d155fd1c0809a38&hash=2ba923cab72859c6a66a9546594a587c8cfda197feb1e618ab8126697c5438e3&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S0021999122005897&tid=spdf-b1c18cae-0db8-4d84-8abb-89523bf9e4ff&sid=de847fbc7ec1f94f7e9bcf38c405d42d9ea3gxrqa&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=1014515b06580b575a50&rr=78d9d757aecf1f34&cc=us" -doi: "10.1016/j.jcp.2022.111527" - -software: -- amrPOD ---- diff --git a/content/publication/meehan-2022-near/cite.bib b/content/publication/meehan-2022-near/cite.bib deleted file mode 100644 index 412ddc9e..00000000 --- a/content/publication/meehan-2022-near/cite.bib +++ /dev/null @@ -1,7 +0,0 @@ -@phdthesis{meehan2022near, - author = {Meehan, Michael A}, - school = {University of Colorado at Boulder}, - title = {The Near-Field Dynamics of Buoyant Helium Plumes}, - year = {2022} -} - diff --git a/content/publication/meehan-2022-near/index.md b/content/publication/meehan-2022-near/index.md deleted file mode 100644 index 9ab2047d..00000000 --- a/content/publication/meehan-2022-near/index.md +++ /dev/null @@ -1,40 +0,0 @@ ---- -# Documentation: https://sourcethemes.com/academic/docs/managing-content/ - -title: "The near-field dynamics of buoyant helium plumes" -subtitle: '' -summary: '' -authors: -- michael_meehan -tags: [] -categories: [] -date: '2022-01-01' -lastmod: 2023-01-22T09:50:26-07:00 -featured: false -draft: false - - -# Publication name and optional abbreviated version. -publication: "CU Boulder Dissertation" -publication_short: "CU Dissertation" - -# Featured image -# To use, add an image named `featured.jpg/png` to your page's folder. -# Focal points: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight. -image: - caption: '' - focal_point: '' - preview_only: false - -# Projects (optional). -# Associate this post with one or more of your projects. -# Simply enter your project's folder or file name without extension. -# E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`. -# Otherwise, set `projects = []`. -projects: [] -publishDate: '2023-01-22T16:50:26.364444Z' -publication_types: -- '7' -abstract: 'Buoyant plumes can be found in a variety of naturally occurring phenomena (e.g., volcanoes and hydrothermal vents) and engineering applications (e.g., heat treatment processes), and the underlying hydrodynamic properties are crucial to understanding low-speed reacting flows, such as pool fires and wildland fires. However, despite the prominence of plumes, there are still many outstanding questions pertaining to plumes structure and dynamics that must be addressed to build predictive capabilities in a computationally tractable manner. In this dissertation, I con- ducted a series of high-fidelity numerical simulations using adaptive mesh refinement to model the isothermal injection of helium into a domain filled with air. This configuration is attractive due to the simplicity of the configuration (e.g., two-fluid system, non-reacting flow, and physical re- alizability) while retaining the complexity of the flow dynamics. I first developed the numerical analysis framework necessary to compute relevant statistics on a multi-resolution grid, including high-order azimuthal averaging and cascaded interpolation for gradients. I then conducted a series of simulations varying the Richardson and Reynolds numbers to study the basic kinematics of the flow, uncovering a number of important flow characteristics, including recirculation in very turbu- lent plumes, consequences of transition to turbulence, scaling relationships for streamwise fluxes, and universality through dimensional arguments. Using the same simulations, I performed the first in-depth analysis of the kinetic energy and enstrophy dynamics in buoyant plumes, revealing the sources and sinks for each of these quantities. Two different auxiliary studies were then performed to analyze the puffing frequency for adjacent two-dimensional plumes and for different inflow shapes and levels of confinement. Lastly, I formulated a Galerkin-based reduced-order model for the lam- inar plumes using proper orthogonal decomposition (POD) as the basis functions. To do this, I developed computationally efficient algorithm to compute POD for multi-resolution data.' - ---- diff --git a/content/publication/meehan-2022-richardson/cite.bib b/content/publication/meehan-2022-richardson/cite.bib deleted file mode 100644 index 351600d0..00000000 --- a/content/publication/meehan-2022-richardson/cite.bib +++ /dev/null @@ -1,10 +0,0 @@ -@article{meehan2022richardson, - author = {Meehan, Michael A and Wimer, Nicholas T and Hamlington, Peter E}, - journal = {Journal of Fluid Mechanics}, - pages = {A24}, - publisher = {Cambridge University Press}, - title = {Richardson and Reynolds number effects on the near field of buoyant plumes: temporal variability and puffing}, - volume = {950}, - year = {2022} -} - diff --git a/content/publication/meehan-2022-richardson/index.md b/content/publication/meehan-2022-richardson/index.md deleted file mode 100644 index 4c85696e..00000000 --- a/content/publication/meehan-2022-richardson/index.md +++ /dev/null @@ -1,40 +0,0 @@ ---- -# Documentation: https://sourcethemes.com/academic/docs/managing-content/ - -title: 'Richardson and Reynolds number effects on the near field of buoyant plumes: - temporal variability and puffing' -subtitle: '' -summary: '' -authors: -- michael_meehan -- nick_wimer -- peter_hamlington -tags: [] -categories: [] -date: '2022-11-10' -lastmod: 2023-01-22T09:50:26-07:00 -featured: false -draft: false - -# Featured image -# To use, add an image named `featured.jpg/png` to your page's folder. -# Focal points: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight. -image: - caption: '' - focal_point: '' - preview_only: false - -# Projects (optional). -# Associate this post with one or more of your projects. -# Simply enter your project's folder or file name without extension. -# E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`. -# Otherwise, set `projects = []`. -projects: [] -publication_types: -- '2' -abstract: '' -publication: '*Journal of Fluid Mechanics*' -doi: "10.1017/jfm.2022.788" -url_pdf: "https://www.cambridge.org/core/services/aop-cambridge-core/content/view/E7E25A7DD1FD9E18EA8FC4DE27E1D0B7/S0022112022007881a.pdf/richardson-and-reynolds-number-effects-on-the-near-field-of-buoyant-plumes-temporal-variability-and-puffing.pdf" - ---- diff --git a/content/publication/patil-2022-puffing/cite.bib b/content/publication/patil-2022-puffing/cite.bib deleted file mode 100644 index f3efb190..00000000 --- a/content/publication/patil-2022-puffing/cite.bib +++ /dev/null @@ -1,11 +0,0 @@ -@article{patil2022puffing, - author = {Patil, Omkar T and Meehan, Michael A and Hamlington, Peter E}, - journal = {Physical Review Fluids}, - number = {11}, - pages = {L111501}, - publisher = {APS}, - title = {Puffing frequency of interacting buoyant plumes}, - volume = {7}, - year = {2022} -} - diff --git a/content/publication/patil-2022-puffing/index.md b/content/publication/patil-2022-puffing/index.md deleted file mode 100644 index fbaca86c..00000000 --- a/content/publication/patil-2022-puffing/index.md +++ /dev/null @@ -1,39 +0,0 @@ ---- -# Documentation: https://sourcethemes.com/academic/docs/managing-content/ - -title: Puffing frequency of interacting buoyant plumes -subtitle: '' -summary: '' -authors: -- Omkar T Patil -- michael_meehan -- peter_hamlington -tags: [] -categories: [] -date: '2022-11-29' -lastmod: 2023-01-22T09:50:26-07:00 -featured: false -draft: false - -# Featured image -# To use, add an image named `featured.jpg/png` to your page's folder. -# Focal points: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight. -image: - caption: '' - focal_point: '' - preview_only: false - -# Projects (optional). -# Associate this post with one or more of your projects. -# Simply enter your project's folder or file name without extension. -# E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`. -# Otherwise, set `projects = []`. -projects: [] -publication_types: -- '2' -abstract: '' -publication: '*Physical Review Fluids*' -doi: "10.1103/PhysRevFluids.7.L111501" -url_pdf: "https://journals.aps.org/prfluids/pdf/10.1103/PhysRevFluids.7.L111501?casa_token=qCDWnoheFv4AAAAA%3Amc8xuzr6ZgkxaoTtSiFQ30QVEJdcUBfLd7_Zkqbytn8u47NWHKTOpOPnghvAig6D4cuULvuEP9Ei" - ----