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Multidimensional information model-driven digital twin for the intelligent evaluation of production capacity

Abstract

The digital twin (DT) for application development in specific fields or specific factors has emerged as a foundational framework for intelligent manufacturing. The increasing demand for customized and diverse production poses enormous challenges for the effective evaluation of production line processing capability (PLPC). Therefore, this paper presents a multidimensional information model-driven digital twin specifically designed for PLPC evaluation. The information model describes the characteristics of PLPC in the structural, physical, and kinematic dimensions, and it provides multidimensional information for constructing a comprehensive evaluation model in combination with the fuzzy Delphi method. An information model-driven digital twin enables more efficient extraction of processing capabilities relevant to product manufacturing and provides a digital and visual assessment of PLPC. In the case of the commutator processing industry, this paper highlights the feasibility of the digital twin model and its potential impact on forward-looking guidance for product process planning.

article Article

date_range 2024

language English

link Link of the paper

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Zhang Lu

He Songping

Li Bin

Mao Xinyong

Tan Xin

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Featured Keywords

Digital twin (DT)

Intelligent manufacturing

Multidimensional information model

Comprehensive evaluation model

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Assessment of reinforced concrete building damages following the Kahramanmaraş earthquakes in Malatya, Turkey (February 6, 2023)

Abstract

Earthquakes of magnitude Mw = 7.7 and Mw = 7.6 hit the city of Kahramanmaraş (Turkey) on 6 February 2023. These earthquakes caused serious damage in 11 provinces in Turkey resulting in over 50,000 deaths and huge economic losses with the collapse of thousands of buildings. Two consecutive devastating earthquakes have severely damaged the reinforced concrete building stock located in Malatya. There are many reasons reinforced concrete structures suffer damage under the influence of seismic loads. These reasons can be listed as material and section properties that do not comply with earthquake codes, workmanship defects, ground parameters that are not considered and design errors, as seen in field investigations after earthquakes in Turkey in the past. In this research, a field study was conducted on reinforced concrete buildings damaged after the earthquakes in Malatya province. The causes of structural damages in reinforced concrete buildings between 6–26 years of age were assessed in terms of design and material defects. The structural damages were mainly caused due to insufficient stirrups in structural members, short column, strong beam–weak column, failures of infill walls, soft story type collapse, poor concrete quality, and reinforcement corrosion. In addition to the field investigation, the spectrum relationships created using raw acceleration data obtained from DEMP (Disaster and Emergency Management Presidency) stations in Malatya province were compared with the design response spectra.

article Article

date_range 2024

language English

link Link of the paper

Collapsed buildings

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