J
John W. van de Lindt
Researcher at Colorado State University
Publications - 290
Citations - 5511
John W. van de Lindt is an academic researcher from Colorado State University. The author has contributed to research in topics: Shear wall & Seismic analysis. The author has an hindex of 34, co-authored 271 publications receiving 4074 citations. Previous affiliations of John W. van de Lindt include Oregon State University & Michigan Technological University.
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Proceedings ArticleDOI
Experimental Seismic Performance Evaluation of a Full-Scale Woodframe Building
Andre Filiatrault,Assawin Wanitkorkul,Ioannis P. Christovasilis,John W. van de Lindt,Michael D. Symans,David V. Rosowsky,Rachel A. Davidson +6 more
TL;DR: In this paper, the effects of gypsum wallboard wallboard finish applied to the interior surfaces of structural (load bearing) walls substantially improved the seismic response of the test building.
Journal ArticleDOI
Evolution of Predicted Seismic Performance for Wood-Frame Buildings
TL;DR: In this paper, the evolution of seismic design for wood-frame buildings from 1959 through current state-of-the-art methodologies available as of 2015 is presented, including two performance-based seismic retrofit levels and a soft-story-only retrofit design that followed a recent guideline published by FEMA.
Journal ArticleDOI
Experimental and Numerical Assessment of Woodframe Sheathing Layer Combinations for Use in Strength-Based and Performance-Based Design
TL;DR: In this article, the authors presented the method and results of an experimental study of 18 walls installed with one, two, or three of the previously described wall finishes, and determined the best approach to add the sheathing layers numerically when combining the backbone curves for analysis and design.
Journal ArticleDOI
Validation of Time-Dependent Repair Recovery of the Building Stock Following the 2011 Joplin Tornado
Mohammad Aghababaei,Maria Koliou,Stephanie F. Pilkington,Hussam Mahmoud,John W. van de Lindt,Andrew Curtis,Steve Smith,Jayakrishnan Ajayakumar,Maria Watson +8 more
TL;DR: This paper seeks to calibrate an existing analytical framework to develop building repair fragility models using a restoration dataset collected through a longitudinal field study in the Czech Republic.