@inbook{531d56befa1c4e3d8f283c42c012ef8a,
title = "Improving the Static Structural Performance of Panels with Spatially Varying Material Properties Using Correlations",
abstract = "This chapter introduces an approach to systematically analyze stochastic distributions of spatially varying material properties in structures. The approach gives insight into how spatial variations of material properties affect the mechanical response of a structure. If sufficient knowledge of the production processes is available, this allows designers to analyze the probability that a certain design criterion (e.g. a certain buckling load level) is met. Stochastic structural analyses can be used to analyze how variations are correlated to a structural measure. This gives information on the sensitivity of the structure with respect to variations. In the present work, this is used to improve the structural performance by distributing a material pattern according to a pattern based on the sensitivity topology. This approach is illustrated by redistributing the material properties of an axially loaded panel on the basis of the correlation of the spatially varying Young{\textquoteright}s modulus with the linear buckling load of the panel.",
author = "{van den Broek}, S. and S. Minera and E. Jansen and A. Pirrera and Weaver, {P. M.} and R. Rolfes",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.",
year = "2019",
doi = "10.1007/978-3-030-11969-0_9",
language = "English",
series = "PoliTO Springer Series",
publisher = "Springer",
pages = "143--158",
booktitle = "PoliTO Springer Series",
}