又称作
结构健康监测
鉴定(生物学)
汽车工业
计算机科学
端口(电路理论)
数据科学
数字健康
系统工程
工程类
医疗保健
机械工程
电气工程
政治学
生物
航空航天工程
图书馆学
法学
植物
作者
Samaya Pillai,Venkatesh Iyengar,Pankaj Pathak
标识
DOI:10.1002/9781119842316.ch8
摘要
“Digital Twin” (DT) as a scientific paradigm offers extraordinary supremacy and dexterity both to the physical objects/systems and its digital counterparts in the backdrop of Industry 4.0 environment. Digital twin models (aka “Avatars”) generate high-precision virtual replicas of physical counterparts, products, entities, and systems. The DT concept is rightfully important and useful for manufacturing, automotive, construction, etc. sectors to name a few. In this chapter, an attempt is made to understand the applicability of DT fundamentals in the Structural Health Monitoring Systems (SHMS). Application of DT in SHMS is discussed relating to damage identification in infrastructure (such as dams, bridges, power grids, port facilities, ships, aeroplanes, civil heritage structures, healthcare entities, etc.) about their structural health monitoring dimensions. The DT paradigm and its related application in SHMS discussed in this chapter offer useful in this area.
科研通智能强力驱动
Strongly Powered by AbleSci AI