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Title: An Integrated NDT Approach for Determining Residual Strength of Ancient Wood Structural Members

Source: In: 17th International Nondestructive Testing and Evaluation of Wood Symposium, September 14-16, 2011, University of West Hungary, Sopron, Hungary; pp. 547-553, 2011.

Author(s)Zhang, Houjiang; Wang, Xiping; Zhu, Lei; Sun, Yanliang; Ross, Robert J.; Brashaw, Brian K.

Publication Year: 2011  View PDF »

Category: Conference Proceedings

Abstract: In structural inspection and evaluation of ancient wood structures, it is critical to determine the residual material properties of the key structural members so that the degraded or deficient members can be replaced or repaired to avoid structural failures. In this study, we evaluated stress wave and resistance micro-drilling techniques for their ability to predict material properties of ancient wood structure members. An integrated NDT approach was proposed to utilize both stress wave speed and relative resistance of micro-drilling as predictive parameters of the stiffness and residual strength of the wood members. The materials used in this study were Larch (Larix principis-rupprechtii Mayr.) timber obtained from Zhengjue Temple at Yuanmingyuan Imperial Garden in Beijing during a renovation project. Following stress wave measurements and micro-drilling tests, we conducted static bending and compression parallel-to-grain tests on the wood samples to determine the modulus of elasticity, bending strength, and compression strength. Our analysis indicated that combining stress wave speed and relative resistance in a linear regression model can provide better predictions of mechanical properties than using stress wave speed or relative resistance alone.

Keywords: Ancient wood structure; mechanical properties; resistance micro-drilling; residual; strength; stress wave speed

Publication Review Process: Non-Refereed (Other)

File size: 2,390 kb(s)

Date posted: 11/06/2012
RITS Product ID: 62748
Current FPL Scientists associated with this product (listed alphabetically)
Ross, Robert J.
Supervisory Research Gen. Engineer
Wang, Xiping
Research Forest Products Technologist

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