Dynamic response and breakage of trees subject to a landslide-induced air blast

• Published in: Natural hazards and earth system sciences Vol. 23; no. 4; pp. 1257 - 1266
• Main Authors: Zhuang, Yu, Xing, Aiguo, Bartelt, Perry, Bilal, Muhammad, Ding, Zhaowei
• Format: Journal Article
• Language: English
• Published: Katlenburg-Lindau Copernicus GmbH 04.04.2023; Copernicus Publications
• Subjects: Aerial explosions; Air; Analysis; Anchorages; Beams (structural); Bend strength; Bending stresses; Biometry; Blast loads; Breakage; Casualties; Deflection; Deformation; Deformation effects; Dynamic response; Equations of motion; Explosions; Failure modes; Impact damage; Landslides; Landslides & mudslides; Mechanical properties; Mountain regions; Power; Resonant frequencies; Risk assessment; Stiffness; Trees
• ISSN: 1684-9981; 1561-8633; 1684-9981
• DOI: 10.5194/nhess-23-1257-2023

Landslides have been known to generate powerful air blasts capable of causing destruction and casualties far beyond the runout of sliding mass. The extent of tree damage provides valuable information on air blast intensity and impact region. However, little attention has been paid to the air blast–tree interaction. In this study, we proposed a framework to assess the tree destruction caused by powerful air blasts, including the eigenfrequency prediction method, tree motion equations and the breakage conditions. The tree is modeled as a flexible beam with variable cross-sections, and the anchorage stiffness is introduced to describe the tilt of the tree base. Large tree deflection is regarded when calculating the air blast loading, and two failure modes (bending and overturning) and the associated failure criteria are defined. Modeling results indicate that although the anchorage properties are of importance to the tree eigenfrequency, tree eigenfrequency is always close to the air blast frequency, causing a dynamic magnification effect for the tree deformation. This magnification effect is significant in cases with a low air blast velocity, while the large tree deflection caused by strong air blast loading would weaken this effect. Furthermore, failure modes of a specific forest subject to a powerful air blast depend heavily on the trunk bending strength and anchorage characteristics. The large variation in biometric and mechanical properties of trees necessitates the establishment of a regional database of tree parameters. Our work and the proposed method are expected to provide a better understanding of air blast power and to be of great use for air blast risk assessment in mountainous regions worldwide.