Stability analysis of laterally loaded trees based on tree-root-soil interaction

Kim, Yongmin; Rahardjo, Harianto; Tsen-Tieng, Daryl Lee

doi:10.1016/j.ufug.2020.126639

Cited by 22 publications

(11 citation statements)

References 16 publications

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“…Some numerical studies on root-soil interaction of trees under lateral loads (e.g. Rahardjo et al, 2009;Yang et al, 2017;Kim et al, 2020;Ramos-Rivera et al, 2020) have suggested that rooting length and depth and windward roots contributed mostly to the tree anchorage strength. However, how these findings on root-soil interaction mechanics translate to different loading conditions (groundwater, rate) is uncertain.…”

Section: Auto-generated Pdf By Review Géotechniquementioning

confidence: 99%

Centrifuge modelling of root–soil interaction of laterally loaded trees under different loading conditions

et al. 2023

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Understanding the stability of trees under lateral loads arising from natural hazards (e.g. extreme weather and debris flows) is important as fallen trees can become a potential threat to life and infrastructure. Two 1:20 scale 3D printed analogue root system models with architectures from field-surveyed root architecture data, were used to simulate the push-over behaviour of trees in silty sand under different conditions in the centrifuge. The peak overturning moments obtained were verified against data from field winching tests. Horizontal roots orientated in the loading direction and the central taproot complex contributed most to the overturning resistance. Increasing soil matric suction due to a lowering of the water table, increasing the loading rate and considering the presence of the fine root fraction all resulted in higher moment capacity and rotational stiffness of the root systems. The overturning behaviour was ductile in fully saturated soil and more brittle in partially saturated cases, with more root breakages in the windward horizontal roots and the taproot complex in the latter. These results suggest that it is important to measure the groundwater conditions when conducting winching tests and demonstrate a connection between soil effective stress, total root breakage area and peak moment resistance.

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Section: Auto-generated Pdf By Review Géotechniquementioning

confidence: 99%

Centrifuge modelling of root–soil interaction of laterally loaded trees under different loading conditions

et al. 2023

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“…A physical model where the different root architectures are represented with synthetic materials would be helpful in this regard. Due to the advancements in plant architecture digitisation and numerical analysis techniques, several numerical simulations have been performed to improve the understanding of tree anchorage mechanisms without destructive testing of the tree [17,19,105,[154][155][156][157]. The aforementioned researchers investigated the deformation of the root-soil composite due to the lateral loading of the tree using a finite element method.…”

Section: Soil Water Contentmentioning

confidence: 99%

Unearthing Current Knowledge Gaps in Our Understanding of Tree Stability: Review and Bibliometric Analysis

Ekeoma,

Sterling,

Metje

et al. 2024

Forests

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Forest preservation and management are paramount for sustainable mitigation of climate change, timber production, and the economy. However, the potential of trees and forests to provide these benefits to the ecosystem is hampered by natural phenomena such as windthrow and anthropogenic activities. The aim of the current research was to undertake a critical thematic review (from 1983 to 2023) informed by a bibliometric analysis of existing literature on tree stability. The results revealed an increase in tree stability research between 2019 and 2022, with the USA, France, and Italy leading in research output, while Scotland and England notably demonstrated high research influence despite fewer publications. A keyword analysis showed that tree stability can be divided into four themes: tree species, architecture, anchorage, and environmental factors. Prominent studies on tree stability have focused on root anchorage. However, more recently, there has been a growing emphasis on urban forestry and disease-induced tree damage, underscoring a shift towards climate change and diversity research. It was concluded that considerable knowledge gaps still exist; that greater geographic diversification of research is needed and should include tropical and sub-tropical regions; that research relating to a wider range of soil types (and textures) should be conducted; and that a greater emphasis on large-scale physical modelling is required. Data and knowledge produced from these areas will improve our collective understanding of tree stability and therefore help decision makers and practitioners manage forestry resources in a more sustainable way into the future.

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“…The microclimate, root-soil system, and other environmental conditions, such as terrain and topography, are significant factors affecting tree stability [9,10]. For each individual tree, the presence of internal and external defects, the elastic modulus of soil and trunk, trunk and crown geometry, and root architecture all affect the response of load-deflection of tree trunk and root anchorage [11]. Researchers have routinely simulated trees and their failures to understand the response of particular species, including under storm events [12].…”

Section: Consequences Of Tree Failure In Developed Landscapesmentioning

confidence: 99%

Unveiling Falling Urban Trees before and during Typhoon Higos (2020): Empirical Case Study of Potential Structural Failure Using Tilt Sensor

Hui

Wong

Kwok

et al. 2022

Forests

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Urban trees in a densely populated environment may pose risks to the public’s safety in terms of the potential danger of injuries and fatalities, loss of property, impacts on traffic, etc. The biological and mechanical features of urban trees may change over time, thereby affecting the stability of the tree structure. This can be a gradual process but can also be drastic, especially after typhoons or heavy rainstorms. Trees may fall at any time with no discernible signs of failure being exhibited or detected. It is always a challenge in urban tree management to develop a preventive alert system to detect the potential failure of hazardous urban trees and hence be able to have an action plan to handle potential tree tilting or tree collapse. Few studies have considered the comparison of tree morphology to the tilt response relative to uprooting failure in urban cities. New methods involving numerical modeling and sensing technologies provide tools for an effective and deeper understanding of the interaction of root-plate movement and windstorm with the application of the tailor-made sensor. In this study, root-plate tilt variations of 889 trees with sensors installed during Typhoon Higos (2020) are investigated, especially the tilting pattern of the two trees that failed in the event. The correlation of tree response during the typhoon among all trees with tilt measurements was also evaluated. The results from two alarm levels developed in the study, i.e., Increasing Trend Alarm and Sudden Increase Alarm indicated that significant root-plate movement to wind response is species-dependent. These systems could help inform decision making to identify the problematic trees in the early stage. Through the use of smart sensors, the data collected by the alert system provides a very useful analysis of the stability of tree structure and tree health in urban tree management.

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Stability analysis of laterally loaded trees based on tree-root-soil interaction

Cited by 22 publications

References 16 publications

Centrifuge modelling of root–soil interaction of laterally loaded trees under different loading conditions

Centrifuge modelling of root–soil interaction of laterally loaded trees under different loading conditions

Unearthing Current Knowledge Gaps in Our Understanding of Tree Stability: Review and Bibliometric Analysis

Unveiling Falling Urban Trees before and during Typhoon Higos (2020): Empirical Case Study of Potential Structural Failure Using Tilt Sensor

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