Non-classical nonlinear feature extraction from standard resonance vibration data for damage detection

被引：28

作者：

Eiras, J. N. ^{[1
]}

Monzo, J. ^{[1
]}

Paya, J. ^{[1
]}

Kundu, T. ^{[2
]}

Popovics, J. S. ^{[3
]}

机构：

[1] Univ Politecn Valencia, Inst Ciencia & Tecnol Hormigon ICITECH, E-46022 Valencia, Spain

[2] Univ Arizona, Dept Civil Engn & Engn Mech, Tucson, AZ 85719 USA

[3] Univ Illinois, Dept Civil & Environm Engn, Urbana, IL 61801 USA

来源：

JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA | 2014年 / 135卷 / 02期

关键词：

WAVE SPECTROSCOPY NEWS; CONCRETE; ULTRASOUND;

D O I：

10.1121/1.4862882

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Dynamic non-classical nonlinear analyses show promise for improved damage diagnostics in materials that exhibit such structure at the mesoscale, such as concrete. In this study, nonlinear non-classical dynamic material behavior from standard vibration test data, using pristine and frost damaged cement mortar bar samples, is extracted and quantified. The procedure is robust and easy to apply. The results demonstrate that the extracted nonlinear non-classical parameters show expected sensitivity to internal damage and are more sensitive to changes owing to internal damage levels than standard linear vibration parameters. (C) 2014 Acoustical Society of America

引用

页码：EL82 / EL87

页数：6