02571nas a2200229   4500000000100000008004100001653002600042653002600068653002800094653002400122653002500146100001900171700002600190700001500216700001500231245012700246856007200373300001100445490000700456520186400463022001402327       2026                            d10aTree defect detection10aSingle-device sensing10aNon-destructive testing10aAcoustic excitation10aMotion magnification1 aYishuang Zhang1 aMirosław Skibniewski1 aCheuk Chow1 aDenvid Lau00aSingle-device on-site inspection system for non-destructive internal defect detection in trees near constructed facilities  uhttps://www.sciencedirect.com/science/article/pii/S2590123026027556  a1117320 v323 aStructural failures caused by internal defects in trees pose major safety, operational, and financial risks to nearby buildings, transport corridors, and other constructed infrastructure. Routine inspection of internal or subsurface defects across widely distributed tree structures remains challenging due to the limitations of conventional non-destructive testing (NDT) methods, such as bulky equipment and poor field adaptability. To enable low-cost and field-adaptable detection of internal tree defects, this study proposes a single-device inspection system that uses a standard mobile phone for acoustic excitation and vibration sensing, evaluated through experiments on cedar specimens with prefabricated internal defects. Surface vibration responses exhibit strong correlation with internal structural characteristics, with indicative consistency between theoretical intrinsic frequencies and video-derived response characteristics. The results show that detection sensitivity is influenced by excitation frequency and decreases for smaller or deeper defects due to amplitude attenuation. Resonance-tuned excitation significantly amplifies vibration responses up to fourfold, enabling detection of subsurface defects with a minimum detectable size of approximately 1 mm under controlled conditions. Repeated experimental observations demonstrate consistent sensitivity to defect presence and size. Based on these characteristics, a defect-sensitive framework is developed to support structural condition assessment. These findings contribute to the advancement of portable NDT techniques for natural civil materials and support broader applications in infrastructure monitoring. The proposed approach offers potential for further investigation under more complex field conditions, with implications for improved robustness and practical applicability.  a2590-1230