Ice loads on a lattice tower estimated by weather station data

Eva Sundin, Lasse Makkonen

Research output: Contribution to journalArticleScientificpeer-review

29 Citations (Scopus)

Abstract

Atmospheric ice loads are a major design criterion of tall structures in cold regions. In this paper the possibility to derive the design ice loads using analysis of meteorological observations made routinely at a weather station is studied.
Ice loads calculated by extrapolating weather station data and using simplistic ice loading and unloading models are compared with those measured on a 323-m-height lattice TV tower. The comparison is made cumulatively in 3-h intervals over seven winter periods.
The results show reasonable agreement in the time of the icing events and in overall loads. In the cases where the cumulative ice loads differ, the discrepancies are mostly due to incorrectly predicted unloading events.
This study points out the importance of on-site temperature data for successfully estimating cumulative ice loads over long cold periods.
Original languageEnglish
Pages (from-to)523-529
JournalJournal of Applied Meteorology
Volume37
Issue number5
DOIs
Publication statusPublished - 1998
MoE publication typeA1 Journal article-refereed

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Towers
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title = "Ice loads on a lattice tower estimated by weather station data",
abstract = "Atmospheric ice loads are a major design criterion of tall structures in cold regions. In this paper the possibility to derive the design ice loads using analysis of meteorological observations made routinely at a weather station is studied. Ice loads calculated by extrapolating weather station data and using simplistic ice loading and unloading models are compared with those measured on a 323-m-height lattice TV tower. The comparison is made cumulatively in 3-h intervals over seven winter periods. The results show reasonable agreement in the time of the icing events and in overall loads. In the cases where the cumulative ice loads differ, the discrepancies are mostly due to incorrectly predicted unloading events. This study points out the importance of on-site temperature data for successfully estimating cumulative ice loads over long cold periods.",
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Ice loads on a lattice tower estimated by weather station data. / Sundin, Eva; Makkonen, Lasse.

In: Journal of Applied Meteorology, Vol. 37, No. 5, 1998, p. 523-529.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Ice loads on a lattice tower estimated by weather station data

AU - Sundin, Eva

AU - Makkonen, Lasse

PY - 1998

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N2 - Atmospheric ice loads are a major design criterion of tall structures in cold regions. In this paper the possibility to derive the design ice loads using analysis of meteorological observations made routinely at a weather station is studied. Ice loads calculated by extrapolating weather station data and using simplistic ice loading and unloading models are compared with those measured on a 323-m-height lattice TV tower. The comparison is made cumulatively in 3-h intervals over seven winter periods. The results show reasonable agreement in the time of the icing events and in overall loads. In the cases where the cumulative ice loads differ, the discrepancies are mostly due to incorrectly predicted unloading events. This study points out the importance of on-site temperature data for successfully estimating cumulative ice loads over long cold periods.

AB - Atmospheric ice loads are a major design criterion of tall structures in cold regions. In this paper the possibility to derive the design ice loads using analysis of meteorological observations made routinely at a weather station is studied. Ice loads calculated by extrapolating weather station data and using simplistic ice loading and unloading models are compared with those measured on a 323-m-height lattice TV tower. The comparison is made cumulatively in 3-h intervals over seven winter periods. The results show reasonable agreement in the time of the icing events and in overall loads. In the cases where the cumulative ice loads differ, the discrepancies are mostly due to incorrectly predicted unloading events. This study points out the importance of on-site temperature data for successfully estimating cumulative ice loads over long cold periods.

U2 - 10.1175/1520-0450(1998)037<0523:ILOALT>2.0.CO;2

DO - 10.1175/1520-0450(1998)037<0523:ILOALT>2.0.CO;2

M3 - Article

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JO - Journal of Applied Meteorology and Climatology

JF - Journal of Applied Meteorology and Climatology

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