The growing interest in timber construction and using more wood for civil engineering
applications has given highlighted importance of developing non-destructive evaluation …

This review summarizes the development of the experimental technique and analytical
method for using TD-NMR to study wood-water interactions in recent years. We briefly …

This study proposes a combined machine learning–wave propagation approach for
nondestructive prediction of the modulus of elasticity (MOE) and rupture (MOR) of timber …

Nondestructive evaluation (NDE) of the mechanical properties and thickness loss of coated
structures is of great importance for health monitoring purposes. This study aimed to …

Color parameters were used in this study to develop a machine learning model for
predicting the mechanical properties of artificially weathered fir, alder, oak, and poplar wood …

The estimation of the damping coefficient may help to improve the damage detection in
composite materials. The purpose of this study was to develop the simulated Lamb wave …

Monitoring the moisture content (MC) of wood and avoiding large MC variation is a crucial
task as a large moisture spread after drying significantly devalues the product, especially in …

The uniformity of final moisture content within a drying timber batch is crucial. Lack of such
uniformity leads to undesirable moisture ranges, thus producing large percentages of over …

To study the propagation characteristics and energy attenuation of different modal acoustic
emission signals in wood, Zelkova schneideriana and Pinus sylvestris var. mongolica were …

A two-stage inversion scheme is proposed to determine the full set of 9 complex-valued
stiffness properties of orthotropic viscoelastic plates using their 3D surface velocity response …