@inproceedings{1e19e7a9365e4ad1bf65f1dfe15e1748,
title = "Model validation and error modeling to support sequential sampling",
abstract = "Several model validation and prediction error modeling techniques are studied and compared in this paper to help establish stopping criteria and identify critical regions in the design space in a sequential sampling framework. This study leads to the proposal of a two-phase sequential sampling and meta-modeling strategy, which is realized by the support of a multi-dimensional data visualization tool. These techniques have been successfully applied in the development and setup of a system-level parametric tool to support Heating, Ventilating, and Air Conditioning design. Maintaining the same level of accuracy, we observe a savings of 6-30 times the simulation effort needed for current practice. The benefits and drawbacks of the method are discussed, and opportunities are identified for future improvement.",
author = "Yao Lin and Dong Luo and Trevor Bailey and Ritesh Khire and Jiachuan Wang and Simpson, {Timothy W.}",
year = "2008",
doi = "10.1115/DETC2008-49336",
language = "English (US)",
isbn = "9780791843253",
series = "Proceedings of the ASME Design Engineering Technical Conference",
number = "PARTS A AND B",
pages = "1255--1264",
booktitle = "ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2008",
edition = "PARTS A AND B",
note = "ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2008 ; Conference date: 03-08-2008 Through 06-08-2008",
}