Dynamic Wind Loading of Heliostats - Efficient Simulation of Resonance Effects

A method for the design of heliostats considering dynamic wind loads is presented. The transient FEM simulation is based on a CAD model of the heliostat and a pressure distribution time series measured in a wind tunnel. In order to minimise the calculation times, a simplified FEM model is used first to determine the period in which the maximum deformations occur. The stresses can then be determined for this period using a more precise model.

Publication Details

Journal
elib (German Aerospace Center)
Published
2024-10-09
Primary Topic
Laser-Plasma Interactions and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic Wind Loading of Heliostats - Efficient Simulation of Resonance Effects

elib (German Aerospace Center)
Laser-Plasma Interactions and Diagnostics
article

Dynamic Wind Loading of Heliostats - Efficient Simulation of Resonance Effects

article en

Abstract

A method for the design of heliostats considering dynamic wind loads is presented. The transient FEM simulation is based on a CAD model of the heliostat and a pressure distribution time series measured in a wind tunnel. In order to minimise the calculation times, a simplified FEM model is used first to determine the period in which the maximum deformations occur. The stresses can then be determined for this period using a more precise model.

elib (German Aerospace Center)
Affordable and clean energy
Openalex Percentile: Top 22%
Laser-Plasma Interactions and Diagnostics
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.