Abstract

In this research, a wave-drag modulus nondestructive testing method was proposed to predict the compressive bearing capacity of damaged wood components. Using an ancient Chinese building as a case study, internal and external inspections were performed to obtain defect data and related tree species information. Using the same tree species, wave-drag modulus and scale tests were carried out to predict the residual bearing capacity when there was damage in the form of internal cavities or edge material reduction and to compare the damage and loss experimental data. The results show that the internal defect combination model established by two nondestructive testing methods (stress wave and impedance meter) based on the weight distribution can accurately determine the internal damage condition of wood components. There was a significant correlation between wave-drag modulus and compressive strength along the wood grains. The measured values of wood components with different defects were consistent with the theoretical values predicted by the wave-drag modulus, which can effectively improve the prediction of residual bearing capacity. In addition, it was determined that edge material reduction is more destructive to a wood component than the presence of an interior cavity. Thus, the wave-drag modulus can quickly locate vulnerable sections and provide a relevant basis for judging the material condition of wood components in ancient buildings.

Highlights

  • Ancient buildings constructed of wood are of high historical, scientific, and artistic value

  • By comparing the data collected via nondestructive testing and the physical pressure testing machine, the residual bearing capacity and vulnerable parts of the wood members were predicted, which provides a reference for the evaluation of wood component diseases in ancient buildings and provides data support for the repair and reinforcement of wood components in the future

  • It is verified that: ε1 + ε2 = 813.9 cm2. This indicates that the sum of contribution errors from the two nondestructive testing methods in section T is equal to the gross error of the combined prediction ε

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Summary

Matikas

Beijing Engineering Research Center of Historic Buildings Protection, Beijing 100124, China

Introduction
Ancient Building Case Study
Surface Damage
Internal
Figure
Reverse Experimental Detection
Small Specimen Material
Scaled
Data Acquisition Path and Small Specimen Loading Test
Scaled Specimen Collection Paths and Loading Test
Analysis of the Correlation between Single Nondestructive Testing Value and
12. Relationship
Correlation between Density and is Nondestructive
13. Relationship
Correlation between Wave-Drag Modulus and Compressive Strength
Prediction of Compressive Bearing Capacity Modulus
Prediction of the Vulnerable Section
Findings
Conclusions
Full Text
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