Washington Post Article on MassTimber Features the Olver Design Building and BCT’s Research

Washington Post Article on MassTimber Features the Olver Design Building and BCT’s Research

Today, the Washington Post published an article about the rise of MassTimber buildings (which are predominantly made using glulam and cross-laminated timber). The article featured exemplary projects throughout the country with the John W. Olver Design Building at UMass as a prominent example. BCT's research into Eastern Hemlock CLT is being described in the article through interviews with Prof. Peggi Clouston and Conrado Araujo, a BCT undergrad student who has been involved in this research for the past year. Forget the log cabin. Wood buildings are climbing skyward — with pluses for the planet – Washington Post (12/12/2019) Reposted from: https://bct.eco.umass.edu/news/washington-post-article-on-masstimber-features-the-olver-design-building-and-bcts-research/...
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BCT’s ‘False Color’ Exhibit is Open!

BCT’s ‘False Color’ Exhibit is Open!

From now to October 28th, 2017, UMass students, faculty, and the general public are invited to visit the UMass Design Building Gallery during opening hours (9am - 4pm on weekdays) to view BCT's latest exhibition on all things related to "False Color" visualizations. Showcasing work by our faculty and graduate students, this exhibition visually (and interactively) explores the various technologies of our research: stress analysis, energy analysis, thermography, laser scanning, and more... BCT would like to especially thank Trimble Inc. for their support through our Trimble Technology Lab. We are also tremendously grateful to Peter Chrzanowski, Sharon Mehrman, and Alexander Okscin for their invaluable hands-on help in putting this exhibition together. The following synopsis explains our thoughts on this exhibition: As engineers, scientists and designers we are often faced with data that is not immediately comprehensible in its raw form, consisting solely of numeric values and ranges. Either the volume of such data is too large to lend itself to easy evaluation or it is too limited...
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