Building Smarter Cities via Intelligent Asset Management: South Carolina Case Study Using IBM Maximo Application [Technology Transfer Activities]

Ziehl, Paul; Huynh, Nathan; Comert, Gurcan; Ai, Li; Laxman, K. C

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Building Smarter Cities via Intelligent Asset Management: South Carolina Case Study Using IBM Maximo Application [Technology Transfer Activities]

2023-11-01
By Ziehl, Paul ; Huynh, Nathan ; Comert, Gurcan

File Language:

English

Details

Creators:

Ziehl, Paul ; Huynh, Nathan ; Comert, Gurcan ; Ai, Li ; Laxman, K. C
Corporate Creators:

Center for Connected Multimodal Mobility, Clemson University ; University of South Carolina
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

South Carolina;United States
Edition:

Technology Transfer
Corporate Publisher:

Center for Connected Multimodal Mobility, Clemson University
Abstract:

This project introduced an improved load rating procedure utilizing digital twin technology. By using potentiometers, strain gauges, and fiber optic sensors to monitor a laboratory bridge slab, data related to crack evolution and strain during loading were obtained. Subsequently, calibrated three-dimensional finite element models representing different loading scenarios were produced, laying the foundation for a digital twin model of the bridge slab. The bridge slab model was then integrated into a bridge span to form the digital twin model of the actual bridge span for load rating tests. The digital twin model was calibrated with field monitoring data from potentiometers, strain gauges, fiber optic sensors, and drones, The digital twin model developed was applied to a bridge in Abbeville, South Carolina.
Format:

PDF
Funding:

69A3551747117
Download URL:

https://rosap.ntl.bts.gov/view/dot/74801/dot_74801_DS1.pdf
File Type:

[PDF - 246.53 KB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:b396f3becb88c29b464240ff1fdd5a34fa25336ab74dee8047b14ea6037dc066a07297a8bd98b81daa90243ebfc9ef6c35f496007cd9e918b47a7e3fc7dd30bf

File Language:

English

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