There are thousands of papers in wood engineering. Some great, some OK, some are... actually not so great.
But there are some so great that should be recommended to more people.
This is a topic for that.
This topic is a recommendation of good papers in timber engineering. Please share the title, author, and Your honest comments/summary of the paper. Provide a link if possible, either to the journal or public link.
The only rules are:
- Only good papers worth people's time to read.
- You Should NOT recommend your own paper (but if your paper is really that good... your readers will post it).
The only paper you need to read if you want to get started on nonlinear seismic analysis of lightframe wood buildings. It is not the newest paper, but a foundation upon which many simplified dynamic models for wood frame construction were built. It is a lumped mass model that works practically.
Folz, Bryan, and Andre Filiatrault. "Seismic analysis of woodframe structures. I: Model formulation." Journal of Structural Engineering 130, no. 9 (2004): 1353-1360.
Folz and Filiatrault did a lot of work in the CUREE woodframe project era, spearheading light frame wood research in the U.S. Folz is more numerical and Filiatrault is more experimental, who later conducted full-scale townhouse test at UB in the NEESWood project. This is the paper about the simple SAWS model used to conduct biaxial time history simulation of wood frame buildings. I really owe my early works on modeling to this paper. It is simple, well-organized, and replicable. Frankly, I think this is really enough for shear-building-like behavior for light frame wood buildings under 6 stories, especially in the displacement based design framework which focus on prediction of interstory drifts. The model cannot physically predict collapse, but you can use unconvergence as an indicator for IDA. The accuracy of the model really depends on the modeling of shear walls using different hysteretic spring elements. The accuracy of the model was validated using CUREE test, and later in NEESWood tests using a slightly updated version.
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