Probabilistic Nonlinear Computer Model for Reinforced Glulams

Published: 1999

Author(s):
Dagher, H.
Lindyberg, R.

Publication Name: Proceedings: 1999 Structures Congress

Publication URL: https://trid.trb.org/view/511575

Research Area:
Keywords:

Abstract:

In 1997 the University of Maine completed the laboratory testing of ninety FRP-reinforced glulam beams, 22 feet long, in conjunction with Williamette Industries, Georgia-Pacific Resins, Inc., Strongwell, and APA-the Engineered Wood Association. This test showed that FRP reinforcement in the order of 3% can increase the allowable strength of the beams by over 100%. In addition, the physical testing was used to verify a nonlinear stochastic computer model for reinforced glulam, called ReLAM. ReLAM uses Monte Carlo simulation techniques to predict the strength and stiffness of a population of reinforced glulams. ReLAM requires as input distributions a lumber Modulus of Elasticity (MOE), Ultimate Tensile Strength (UTS), and Ultimate Compression Strength (UCS). The objective of this study is to verity ReLAM using the 90 tested reinforced glulams.