Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152187
Title: An inverse method for distributed dynamic load identification of structures with interval uncertainties
Authors: Wang, Lei
Liu, Yaru
Liu, Yisi
Keywords: Engineering::Civil engineering
Issue Date: 2019
Source: Wang, L., Liu, Y. & Liu, Y. (2019). An inverse method for distributed dynamic load identification of structures with interval uncertainties. Advances in Engineering Software, 131, 77-89. https://dx.doi.org/10.1016/j.advengsoft.2019.02.003
Journal: Advances in Engineering Software
Abstract: A time-domain based method for distributed dynamic load identification is proposed in this study considering unknown-but-bounded uncertainties in structural systems. The spatiotemporal dynamic load is further approximated by Chebyshev orthogonal polynomial in time history. Thus, the problem of distributed load reconstruction may be converted into the issue of polynomial coefficient calculation at each sampling time by utilizing a series of dynamic analysis. In accordance with the practical engineering, the acceleration response is used as the system input. In terms of the uncertainty quantification problems, the interval analysis method based on Taylor expansion (IAMBTE) is systematically developed to accomplish the envelope interval of identified load. To facilitate the analysis, two kinds of load are required to be identified, among which the nominal value of the identified load may be straightforwardly achieved through the inverse system, whereas the interval boundaries should be settled by the interval propagation analysis. Eventually, two numerical examples are investigated to demonstrate the efficiency and precision of the developed methodology.
URI: https://hdl.handle.net/10356/152187
ISSN: 0965-9978
DOI: 10.1016/j.advengsoft.2019.02.003
Rights: © 2019 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:CEE Journal Articles

Page view(s)

103
Updated on May 19, 2022

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.