This research presents a new experimentally tuned reduced-order modeling methodology employing a hybrid stick model representation. Digital image correlation (DIC) is used to synthesize mode shapes within a frequency range of interest during Ground Vibration Testing (GVT). Experimental mode shapesare augmented into the Guyan Reduced Order Model (ROM) to develop a corresponding Craig-Bampton ROM.
Rebar cages are transported to the construction site, and then concrete is cast around them. Until the concrete is cast, these cages form a structure in their own right that must be safe against collapse due to its own weight, as well as environmental and structural loads (e.g., wind). The objective of the research is to better understand at a fundamental level the structural behaviour of rebar cages and ultimately develop predictive models for the stresses and deflections of a given cage.
In major metropolitan areas, multi-unit residential buildings (MURBs) are becoming the main housing form. Newer MURBs also come with large exterior windows and doors, resulting in discomfort such as overheating and higher energy expenditure. An effective solution is to leverage the use of window shadings by automating their controls, but more commonly, they are operated entirely manually according to users’ commands.
Over the past decade, there has been a global increase in environmental awareness leading to an overwhelming need for lightweight polymer-based materials that possess demanding mechanical, physical, thermal conductivity, electrical conductivity characteristics that meet the standards of novel automotive applications.
To address the global concerns regarding climate changes and increase of earth temperature, carbon dioxide emission has to be removed/reduced. A major source of Co2 emission is transportation vehicles, which account for close to 30% of Canada’s greenhouse gas emissions. An active method to reduce this significant contribution to global warming is electrification of transportation vehicles. Battery operated vehicles are the cornerstone of automotive electrification. To improve the efficiency and safety of these batteries, structural durability of them must be maintained.
With the COVID-19 pandemic, there is a huge demand for advanced face masks and air filtration systems that could not only prevent transmission of respiratory droplets but having the ability to kill pathogens. Meltblown filters are widely used in these systems for enhanced filtration efficiency but currently they are limited by fouling and have no inherent antimicrobial properties. Here, we propose to add these two features to meltblown filters and make them more competent to combat disease transmission.
Currently, the service provided by Axya links manufacturers and buyers of manufactured goods. In order to find aperfect match between a manufacturer and a buyer, the computer-aided design (CAD) files they share need to beanalyzed. However, manual analysis of large amounts of CAD files is too time-consuming while requiring highengineering expertise. Based on this, it is proposed 1) to investigate ways of automating the analysis of CAD fileswith data mining; 2) to retrieve and analyze crucial features from CAD files; and 3) to identify future venues forCAD data mining system development.
The blown plastic film industry is constantly evolving, and the simpler products of just a few years ago are being displaced by new technical films. Market pressures have demanded a lower cost of plastic film with higher quality and thinner gauges. As a result of these trends, the demand for improvements in gauge control of the film increases dramatically, especially for manufacturers with older generations of equipment.
Additive manufacturing (AM) has gained significant interest of aerospace and biomedical industries to produce light weight components with complex geometries. Laser powder bed fusion (LPBF) technology is an AM, process which can improve the productivity and the material efficiency of low volume-high variety manufacturing.