Now showing items 1-6 of 6
Thermo Hydrodynamic (THD) Computational Analysis For Tilting Pad Thrust Bearings (TPTBs)
The report details a thermo-hydrodynamic (THD) analysis for the static and dynamic force performance of TPTBs. The goal is to deliver a modern predictive tool for TPTBs to be further integrated into the XLTRC2 software ...
On the Static Load Performance of a Large Size, Heavily Loaded Spring Supported Thrust Bearing
(Society of Tribologists and Lubrication Engineers, 2019-02-18)
This abstract describes a thermo-elasto-hydrodynamic (TEHD) analysis for prediction of the static load performance of a large size spring-supported thrust bearing (SSTB) operating at a mean surface speed of 20 m/s and 4 ...
Towards the Application of Uncertainty Analysis in Architectural Design Decision-Making
To this day, proper handling of uncertainties -including unknown variables in primary stages of a design, an actual climate data, occupants` behavior, and degradation of material properties over the time- remains as a ...
A Thermo-Elasto-Hydrodynamic (TEHD) Computational Analysis of Tilting Pad Thrust Bearings: Analytical and FE Pad Structure Models
Work in 2018 extends an earlier (2017) single-pad, laminar flow thermohydrodynamic (THD) model, into a multiple-pad, turbulent flow thermoelastohydrodynamic (TEHD) model for the prediction of the static and dynamic force ...
A case study for sensitivity-based building energy optimization
(ARCC Conference Repository, 2019-05-26)
Building design optimization process is associated with uncertainties due to climate change, unpredictable occupant behavior, and physical degradation of building material over time. The inherent uncertainties in the ...
UNCERTAINTY AND SENSITIVITY ANALYSIS USING BUILDING INFORMATION MODELING (An Energy Analysis Test Case)
(the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong, 2019-04-15)
Building design decision-making is associated with uncertainties due to variations over time and unpredictable parameters. There is a growing demand for probabilistic methods, i.e., uncertainty and sensitivity analyses ...