caa a22 4500 463243846 CHVBK 20180405153320.0 cr unu---uuuuu 170326e20070801xx s 000 0 eng 10.1007/s00158-006-0068-0 doi (NATIONALLICENCE)springer-10.1007/s00158-006-0068-0 Analytical robustness assessment for robust design [Elektronische Daten] [Beiqing Huang, Xiaoping Du] Robust design ensures product performances to be insensitive to various uncertainties and therefore results in high quality and productivity. Robustness assessment, which evaluates the variability of performances, is an important and indispensable component of robust design. An accurate and efficient robustness assessment is essential for obtaining a real robust solution. The aim of this paper is to investigate features of model-based methods for robustness assessment in terms of accuracy, efficiency, and reliability. Recommendations on the use of those methods are provided based on the comparison study through example problems. Springer-Verlag Berlin Heidelberg, 2006 Robust design nationallicence Robustness nationallicence Variance nationallicence Percentile nationallicence Huang Beiqing Department of Mechanical and Aerospace Engineering, University of Missouri-Rolla, 1870 Miner Circle, 65409-4494, Rolla, MO, USA aut Du Xiaoping Department of Mechanical and Aerospace Engineering, University of Missouri-Rolla, 1870 Miner Circle, 65409-4494, Rolla, MO, USA aut Structural and Multidisciplinary Optimization Springer-Verlag 34/2(2007-08-01), 123-137 1615-147X 34:2<123 2007 34 158 https://doi.org/10.1007/s00158-006-0068-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00158-006-0068-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Huang Beiqing Department of Mechanical and Aerospace Engineering, University of Missouri-Rolla, 1870 Miner Circle, 65409-4494, Rolla, MO, USA aut NATIONALLICENCE 700 1- Du Xiaoping Department of Mechanical and Aerospace Engineering, University of Missouri-Rolla, 1870 Miner Circle, 65409-4494, Rolla, MO, USA aut NATIONALLICENCE 773 0- Structural and Multidisciplinary Optimization Springer-Verlag 34/2(2007-08-01), 123-137 1615-147X 34:2<123 2007 34 158 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer