Experimental assessment of the long-term variation of modal properties and aerodynamic damping of a self-supporting lattice tower

The dynamic properties of a 50 m tall self-supporting lattice tower are investigated using long-term full-scale monitoring. Two years of acceleration, strain, temperature, and wind speed data are analyzed to obtain the natural frequencies, mode shapes, and damping ratios. The environmental variation of the modal characteristics and aerodynamic damping was studied based on the simultaneously recorded temperature and wind data. Natural frequencies decreased with an increase in outside temperature. The damping ratios of the first four modes ranged from about 0.2% at low wind speed to 0.6% at high wind speeds. A clear increase in the damping ratio with the mean wind speed, by more than double, was found for the first four modes. The increasing trend of the damping ratio in the alongwind direction with the wind speed was closely similar to that obtained using the quasi-steady-based formulation. The results of the study are an important addition to the few available studies investigating the dynamic properties of self-supporting lattice towers using full-scale data, which in turn will be an input to design standards. • The dynamic properties are investigated using full-scale vibration monitoring data. • The long-term variability of the dynamic properties with the environment was studied. • Aerodynamic damping was investigated using vibration and wind speed measurement data.

Authors

Institutions

Publication Details

Journal
Journal of Wind Engineering and Industrial Aerodynamics
Published
2026-03-26
DOI
https://doi.org/10.1016/j.jweia.2026.106436
Primary Topic
Vibration Control and Rheological Fluids
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental assessment of the long-term variation of modal properties and aerodynamic damping of a self-supporting lattice tower

Geert Lombaert, Maria Pía Repetto, Kristof Maes, Ileana Calotescu et al.
Journal of Wind Engineering and Industrial Aerodynamics
Vibration Control and Rheological Fluids
article

Experimental assessment of the long-term variation of modal properties and aerodynamic damping of a self-supporting lattice tower

Geert Lombaert, Maria Pía Repetto, Kristof Maes, Ileana Calotescu, Mekdes T. Mengistu
article en

Abstract

The dynamic properties of a 50 m tall self-supporting lattice tower are investigated using long-term full-scale monitoring. Two years of acceleration, strain, temperature, and wind speed data are analyzed to obtain the natural frequencies, mode shapes, and damping ratios. The environmental variation of the modal characteristics and aerodynamic damping was studied based on the simultaneously recorded temperature and wind data. Natural frequencies decreased with an increase in outside temperature. The damping ratios of the first four modes ranged from about 0.2% at low wind speed to 0.6% at high wind speeds. A clear increase in the damping ratio with the mean wind speed, by more than double, was found for the first four modes. The increasing trend of the damping ratio in the alongwind direction with the wind speed was closely similar to that obtained using the quasi-steady-based formulation. The results of the study are an important addition to the few available studies investigating the dynamic properties of self-supporting lattice towers using full-scale data, which in turn will be an input to design standards. • The dynamic properties are investigated using full-scale vibration monitoring data. • The long-term variability of the dynamic properties with the environment was studied. • Aerodynamic damping was investigated using vibration and wind speed measurement data.

Journal of Wind Engineering and Industrial AerodynamicsVol. 273
Technical University of Civil Engineering of Bucharest (RO), University of Genoa (IT), KU Leuven (BE)
Affordable and clean energy
Openalex Percentile: Top 7%
Vibration Control and Rheological Fluids
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.