Anisotropic reduction factor‐based damage identification method for fiber‐reinforced composite laminates. Issue 11 (3rd September 2018)

• Record Type: Journal Article
• Authors: Wang, Xiaojun; Shi, Qinghe; Wang, Lei; Lv, Zheng; Chen, Xiao; Ma, Yujia
• Is Part Of: Structural control and health monitoring. Volume 25:Issue 11(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-09-03
• Subjects: composite laminates -- damage identification -- failure mode -- model updating -- strain energy; Structural engineering -- Periodicals; Structural control (Engineering) -- Periodicals; Automatic data collection systems -- Periodicals; Detectors -- Periodicals; 624.17
• DOI: 10.1002/stc.2253
• Languages: English
• ISSNs: 1545-2255

Abstract

Summary: Nowadays, the existing damage detection methods for composite structures roughly identify the defects by equivalent means without considering their anisotropy. Owing to this reason, this article is aimed at proposing an anisotropic reduction factor (ARF)‐based damage identification method in view of the description of damage in composite continuum damage mechanics (CDM). On the basis of the proposed method, the adequate damage information including the damage locations, types, and extent will be achieved. The ARF is established referring to the damage model in structures made of isotropic materials utilizing the damage parameter in CDM. To eliminate the dispersion of composite structures, the model updating for the pristine structure is performed. Then a two‐step damage identification for detecting the ARF is put forward. First, the modal strain energy‐based method is utilized to locate the damage, by which the candidate damaged elements can be selected. Here, taking advantage of the improved reduction system method, the damage localization method can be completed with incomplete modal information. Second, the optimization method based on direct search algorithm is adopted to identify the damage type and extent of the candidate elements by minimizing the error of the modal information between the reference model and the damage model. The measurement noises are taken into consideration. Two numerical examples and an experimental example are studied to demonstrate the effectiveness of the proposed method.