Structural damage detection of space frame structures with semi-rigid connections. (15th May 2021)

• Record Type: Journal Article
• Authors: Hou, Rongrong; Beck, James L.; Zhou, Xiaoqing; Xia, Yong
• Is Part Of: Engineering structures. Volume 235(2021)
• Publication Date: 2021-05-15
• Subjects: Structural damage detection -- Vibration method -- Space frame -- Semi-rigid connection -- Joint; Structural engineering -- Periodicals; Structural analysis (Engineering) -- Periodicals; Construction, Technique de la -- Périodiques; Génie parasismique -- Périodiques; Pression du vent -- Périodiques; Earthquake engineering; Structural engineering; Wind-pressure; Periodicals; 624.105
• DOI: 10.1016/j.engstruct.2021.112029
• Languages: English
• ISSNs: 0141-0296

Abstract

Highlights: Semi-rigid connections are quantified by rotational stiffness factors. Damage in structural elements and joints are located and quantified progressively. The proposed two-step damage detection method alleviates the instability and divergence problems. Abstract: The accurate modeling of connection joints for civil engineering structures is challenging. The conventional approaches generally assume that the joints are either pinned or rigid, while real joints are semi-rigid in practice. Most existing damage detection methods do not consider the semi-rigidity of the joints, and thus may lead to false or inaccurate identification results. Moreover, the joints are more vulnerable to damage compared to other members of the structure. However, only limited studies have focused on the detection of the joint damage, and few have studied the damage in structural members and joints simultaneously for space structures. In this regard, a two-step damage detection method for space frame structures with semi-rigid connections is developed in this study. Rotational springs with some flexibility are used to model the mechanical behavior of the joints, which enables identification of damage in the bar elements as well as in joints. The first step determines the existence and location of the damaged elements using the l 1 regularization technique. In the second step, the damage locations and severities are then identified within the suspicious damaged elements only that are detected in the first step. This process progressively reduces the number of unknown parameters and thus alleviates the instability and divergence problems to improve the damage identification accuracy. An experimental 3D space structure is utilized to demonstrate the effectiveness of the proposed damage detection method. The results show that damage in structural elements and joints can be correctly located and quantified progressively. The numerical investigation shows that the sensitivity of the modal properties with respect to joint damage is much smaller than to damage in bar elements.