Effects of a selective thinning on wind loading in a naturally regenerated balsam fir stand

2022 ◽  
Vol 505 ◽  
pp. 119878
Author(s):  
Marine Duperat ◽  
Barry Gardiner ◽  
Jean-Claude Ruel
Keyword(s):  
Balsam Fir ◽  
Wind Loading

scholarly journals Wind and Snow Loading of Balsam Fir during a Canadian Winter: A Pioneer Study

Forests ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 1089
Author(s):  
Marine Duperat ◽  
Barry Gardiner ◽  
Jean-Claude Ruel
Keyword(s):  
Linear Models ◽  
Winter Season ◽  
Abies Balsamea ◽  
Bending Moment ◽  
Canopy Height ◽  
Balsam Fir ◽  
Wind Loading ◽  
Storm Damage ◽  
Freezing Temperatures ◽  
Snow Loading

Widely distributed across Quebec, balsam fir (Abies balsamea (L.) Mill) is highly vulnerable to wind damage. The harsh winter conditions, freezing temperatures, and snow pose an additional risk. It is important to find the mechanical loads experienced by trees during winter to adapt forest management and minimize the risk of damage to this species. Many studies have been carried out on wind and snow loading damage risks in Northern Europe, mostly based on post-storm damage inventories. However, no study has continuously monitored the applied turning moment during a period with snow loading, and no study has investigated wind and snow loading on balsam fir. Therefore, our main objective was to conduct a pioneering study to see how trees bend under wind loading during winter, and to see how snow cover on the canopy contributes to the loading. Two anemometers placed at canopy height and 2/3 canopy height, air and soil temperature sensors, a hunting camera, and strain gauges attached to the trunks of fifteen balsam fir trees, allowed us to measure the wind and snow induced bending moments experienced by the trees together with the meteorological conditions. Data were recorded at a frequency of 5 Hz for more than 2000 h during summer 2018 and winter 2019. Two mixed linear models were used to determine which tree and stand parameters influence the turning moment on the trees and evaluate the effect of winter. The selected model for measurements made during winter found that including the snow thickness on crowns was better than those models that did not consider the effect of snow (ΔAICc > 25), but the effect of snow depth on the bending moment appears to be minor. However, overall, the turning moment experienced by trees during winter was found to be higher than the turning moment experienced at the same wind speed in summer. This is probably a result of increases in the rigidity of the stem and root system during freezing temperatures and the change in wind flow through the forest due to snow on the canopy and on the ground during the winter season.

Fragility Analysis of Transmission Line Subjected to Wind Loading

2019 ◽  
Vol 33 (4) ◽  
pp. 04019044 ◽  
Author(s):  
Xing Fu ◽  
Hong-Nan Li ◽  
Li Tian ◽  
Jia Wang ◽  
Hu Cheng
Keyword(s):  
Transmission Line ◽  
Fragility Analysis ◽  
Wind Loading

scholarly journals Predicting balsam fir mortality in boreal stands affected by spruce budworm

2021 ◽  
Vol 496 ◽  
pp. 119408
Author(s):  
Djidjoho Julien Houndode ◽  
Cornelia Krause ◽  
Hubert Morin
Keyword(s):  
Spruce Budworm ◽  
Balsam Fir

scholarly journals Graph based discrete optimization in structural dynamics

2014 ◽  
Vol 62 (1) ◽  
pp. 91-102
Author(s):  
B. Blachowski ◽  
W. Gutkowski
Keyword(s):  
Structural Optimization ◽  
Minimum Weight ◽  
Continuous Optimization ◽  
Graph Representation ◽  
Wind Loading ◽  
Transmission Tower ◽  
Simple Method ◽  
Deterministic Dynamic ◽  
Starting Point ◽  
Discrete Values

Abstract In this study, a relatively simple method of discrete structural optimization with dynamic loads is presented. It is based on a tree graph, representing discrete values of the structural weight. In practical design, the number of such values may be very large. This is because they are equal to the combination numbers, arising from numbers of structural members and prefabricated elements. The starting point of the method is the weight obtained from continuous optimization, which is assumed to be the lower bound of all possible discrete weights. Applying the graph, it is possible to find a set of weights close to the continuous solution. The smallest of these values, fulfilling constraints, is assumed to be the discrete minimum weight solution. Constraints can be imposed on stresses, displacements and accelerations. The short outline of the method is presented in Sec. 2. The idea of discrete structural optimization by means of graphs. The knowledge needed to apply the method is limited to the FEM and graph representation. The paper is illustrated with two examples. The first one deals with a transmission tower subjected to stochastic wind loading. The second one with a composite floor subjected to deterministic dynamic forces, coming from the synchronized crowd activities, like dance or aerobic.

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