Improved transparency in broadband absorption using multilayer micro-slit panels and bayesian inference
Authors
Hoeft, Michael
ORCID
Loading...
Other Contributors
Xiang, Ning
Braasch, Jonas
Perry, Chris (Christopher S.)
Braasch, Jonas
Perry, Chris (Christopher S.)
Issue Date
2019-08
Keywords
Architecture
Degree
MS
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
Multilayer Micro-Slit panels (MSP) are assessed for their potential as broadband absorbers that simultaneously maintain visual transparency. Dah-You Maa introduced micro-Slit panel absorbers as a continuation of his previously developed Micro-Perforated panel (MPP) absorbers. Like MPP's, MSP's allow high absorption coefficients to be achieved without using fibrous materials, but are limited to a narrow frequency bandwidth. Broadband absorption can be achieved by combining panels into a multilayer absorber. The complexity of determining the optimum set of parameters required to fulfill a design scheme necessitates implementation of the Bayesian framework. This probabilistic method automatically determines the most concise number of layers required, and gives parameters for each layer of the resulting composite. Panels can be designed efficiently by encoding algorithms into the digital process. The Micro-Slit samples can be fabricated and tested to validate acoustic performance, and assess visual properties. Fabrication errors are mitigated through an iterative optimization process.
Description
August 2019
School of Architecture
School of Architecture
Department
School of Architecture
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
Restricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.