Recent Advances and Open Issues on the Use of Smart Bricks for Seismic Monitoring of Masonry Buildings: Experimental Tests and Numerical Simulations

砖石建筑 结构健康监测 结构工程 脆性 工程类 应变计 法律工程学 材料科学 岩土工程 复合材料
作者
Andrea Meoni,Antonella D’Alessandro,Filippo Ubertini
出处
期刊:Lecture notes in civil engineering [Springer Nature]
卷期号:: 851-860 被引量:2
标识
DOI:10.1007/978-3-030-64594-6_82
摘要

Masonry buildings are particularly prone to structural pathologies and brittle failures, typically caused by excessive stresses/strains, differential foundation settlements, aging of materials, and natural hazards, such as seismic events. Monitoring the health state of this type of structures during their service life plays a fundamental role in the identification of incipient damages or critical conditions and the optimization of maintenance interventions. In light of that, the Authors recently developed a novel class of sensors, called smart bricks, for structural health monitoring of masonry constructions. These novel sensors consist of fired bricks made by doping fresh clay with conductive stainless steel micro fibers that enhance the piezoresistive capability of the composite. Smart bricks are equipped with copper plate electrodes and can be deployed within masonry constructions, as normal bricks, for monitoring changes in strain, modifications in load paths, and development of damages. This paper deals with an investigation on the effectiveness of smart bricks for the estimation of strain under increasing compression loads, in particular when sensors are deployed within a typical structural setting. With this aim, smart bricks’ strain measurements are compared with those of traditional strain gauges applied onto each tested sample. Furthermore, numerical simulations are carried out for reconstructing strain field maps of a masonry wall subjected to eccentric axial compression tests, by exploiting strain measurements outputted by smart bricks embedded within the load-bearing structure. Overall, results have confirmed the effectiveness of the novel sensors in strain measurements under increasing compression states.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
xuan发布了新的文献求助10
刚刚
刚刚
2秒前
个性笑白完成签到,获得积分10
3秒前
4秒前
xuan发布了新的文献求助10
5秒前
如意的醉蓝发布了新的文献求助100
6秒前
情怀应助LIKO采纳,获得10
7秒前
Ava应助leasmoss采纳,获得10
7秒前
宜醉宜游宜睡举报QQ求助涉嫌违规
8秒前
8秒前
xuan发布了新的文献求助10
10秒前
11秒前
cdercder应助老流氓采纳,获得30
11秒前
lalatrouble完成签到,获得积分10
13秒前
xuan发布了新的文献求助10
14秒前
yhgz完成签到,获得积分10
17秒前
21秒前
21秒前
弯月完成签到 ,获得积分10
21秒前
24秒前
kiki发布了新的文献求助10
25秒前
mojomars发布了新的文献求助10
26秒前
向日葵发布了新的文献求助10
28秒前
万能图书馆应助Huang采纳,获得10
28秒前
雨季完成签到 ,获得积分10
31秒前
77发布了新的文献求助10
31秒前
bkagyin应助破风采纳,获得10
32秒前
32秒前
小乔完成签到 ,获得积分10
33秒前
35秒前
36秒前
xiepeijuan发布了新的文献求助10
37秒前
37秒前
38秒前
39秒前
Huang发布了新的文献求助10
40秒前
xuan发布了新的文献求助10
40秒前
41秒前
41秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Clinical effects of budesonide oxygen driving atomization on patients with chronic obstructive pulmonary disease at acute exacerbation phase 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7569803
求助须知:如何正确求助?哪些是违规求助? 9149818
关于积分的说明 19568430
捐赠科研通 7155403
什么是DOI,文献DOI怎么找? 3263654
关于科研通互助平台的介绍 2429221
邀请新用户注册赠送积分活动 2253767