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Search Publications by: Adam L. Pintar (Fed)

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Displaying 26 - 50 of 59

Service Life Prediction Models to Predict Building Skin Failures

October 1, 2018
Author(s)
Christopher C. White, Donald L. Hunston, Adam L. Pintar
Determination of the in-service performance and failure of a building envelope material exposed to outdoor weathering has been a significant research goal for the last 100 years. Typically, estimations of the time to failure or durability of a material is

Influence of wind tunnel test duration on wind load factors

August 17, 2018
Author(s)
Dat Duthinh, Adam L. Pintar, Emil Simiu
A methodology is presented for calculating the uncertainty associated with the estimation of peak pressure coefficients from wind tunnel test records of various lengths, and how this uncertainty affects design wind effects. Investigation of time series

Estimating peaks of stationary random processes: a peaks-over-threshold approach

December 1, 2017
Author(s)
Dat Duthinh, Adam L. Pintar, Emil Simiu
Estimating properties of the distribution of the peak of a stationary process from a single finite realization is a problem that arises in a variety of science and engineering applications. Further, it is often the case that the realization is of length T

WIND LOAD FACTORS FOR USE IN THE WIND TUNNEL PROCEDURE

December 1, 2017
Author(s)
Emil Simiu, Adam L. Pintar, Dat Duthinh, DongHun Yeo
A 2005 Skidmore Owings and Merrill report notes that the ASCE 7 Standard is incomplete insofar as it provides no guidance on wind load factors appropriate for use with the Standard’s wind tunnel procedure. The purpose of this paper is to contribute to such

Algorithm for rapid determination of optical scattering parameters

October 18, 2017
Author(s)
Zachary H. Levine, Adam L. Pintar, Richelle H. Streater, Anne-Michelle R. Lieberson, Catherine C. Cooksey, Paul Lemaillet
Preliminary experiments at the NIST Spectral Tri-function Automated Reference Reflectometer (STARR) facility have been conducted with the goal of providing the diffuse optical properties of a solid reference standard with optical properties similar to

Experimental and statistical methods to evaluate antibacterial activity of a quaternary pyridinium salt on planktonic, biofilm-forming, and biofilm states

March 3, 2017
Author(s)
Daneli Lopez-Perez, Paula J. Baker, Adam L. Pintar, Jirun Sun, Nancy Lin, Sheng Lin-Gibson
Robust evaluation and comparison of antimicrobial technologies are critical to improving biofilm prevention and treatment. Herein, a multi-pronged experimental framework and statistical models were applied to determine the effects of quaternary pyridinium

Development of Two Fine Particulate Matter Standard Reference Materials (

April 13, 2016
Author(s)
Michele M. Schantz, Danielle Cleveland, N. Alan Heckert, John Kucklick, Stefan D. Leigh, Stephen E. Long, Jennifer Lynch, Karen E. Murphy, Rabia Oflaz, Adam L. Pintar, Barbara J. Porter, Savelas A. Rabb, Stacy Schuur, Stephen Wise, Rolf L. Zeisler
Two new Standard Reference Materials (SRMs), SRM 2786 Fine Particulate Matter (

National Institute of Standards and Technology measurement service of the optical properties of biomedical phantoms: Current status

March 24, 2016
Author(s)
Paul Lemaillet, Catherine C. Cooksey, Zachary H. Levine, Adam L. Pintar, Jeeseong Hwang, David W. Allen
The National Institute for Standards and Technology (NIST) has maintained scales of reflectance and transmittance over several decades. Those scales are primarily intended for the regular transmittance, mirrors, and solid surface scattering diffusers. The

Maps of Non-hurricane Non-tornadic Wind Speeds With Specified Mean Recurrence Intervals for the Contiguous United States Using a Two-Dimensional Poisson Process Extreme Value Model and Local Regression

November 12, 2015
Author(s)
Adam L. Pintar, Emil Simiu, Franklin T. Lombardo, Marc L. Levitan
This report describes a procedure for creating maps of non-hurricane, non-tornadic wind speeds for a set of recurrence intervals of interest between \num{10} and \num{100000} years over the contiguous United States. The procedure is carried out in two

Greenhouse Gas Emissions and Dispersion 3. Reducing Uncertainty in Estimating Source Strength and Location through Plume Inversion Models

September 30, 2015
Author(s)
Kuldeep R. Prasad, Adam L. Pintar, Heming Hu, Israel Lopez Coto, Dennis T. Ngo, James R. Whetstone
Recent development of accurate instruments for measuring greenhouse gas concentrations and the ability to mount them in ground based vehicles has provided an opportunity to make temporally and spatially resolved measurements in the vicinity of suspected

Absolute Calibration of a Variable Attenuator Using Few-Photon Pulses

June 12, 2015
Author(s)
Zachary H. Levine, Boris L. Glebov, Adam L. Pintar, Alan L. Migdall
We demonstrate the ability to calibrate a variable optical attenuator directly at the few photon level using a Superconducting Transition Edge Sensor (TES). Because of the inherent linearity of photon number resolving detection, no ex- ternal calibrations

Prediction of Sealant Modulus Change due to Outdoor Weathering

May 13, 2015
Author(s)
Christopher C. White, Kar T. Tan, Donald L. Hunston, Adam L. Pintar, James J. Filliben
An empirically-based model has been created to predict the change in modulus for a sealant exposed to outdoor weathering. The underlying high precision data supporting this model was obtained using the NIST SPHERE (Simulated Photo degradation by High

Monitoring Process Variability for Stationary Process Data

June 20, 2014
Author(s)
Nien F. Zhang, Adam L. Pintar
Processes that arise naturally, e.g., from manufacturing or the environment, often exhibit complicated autocorrelation structures. When monitoring such a process for changes in variance, accounting for that autocorrelation structure is critical. While

Mapping Return Values of Extreme Wind Speeds

December 31, 2013
Author(s)
Adam L. Pintar
Structures subjected to wind loads must be designed to perform adequately from the points of view of stress and serviceability. Wind loading specified for design is based in part on the wind speeds affecting the site of interest. A particular quantity of

Statistical Prediction of Sealant Modulus Change due to Outdoor Weathering

October 17, 2013
Author(s)
Christopher C. White, Kar T. Tan, Donald L. Hunston, Adam L. Pintar, James J. Filliben
Recently a statistically based model has been created to predict the change in modulus for a sealant exposed to outdoor weathering. The underlying high precision data supporting this model was obtained using the NIST SPHERE (Simulated Photo degradation by