Shape Memory Alloy Transverse Reinforcement for Solving End Region Problems in Precast Bridge Girders End Regions [supporting dataset]
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2026-02-01
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Corporate Contributors:Transportation Infrastructure Precast Innovation Center (TRANS-IPIC) Tier-1 University Transportation Center (UTC) ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
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Abstract:This project introduces an innovative method that utilizes shape memory alloys (SMAs), a new class of smart materials, as transverse reinforcement in the end regions of precast prestressed concrete (PC) bridge girders. The proposed solution effectively addresses the long-standing issue of damage in the end regions of PC bridge girders caused by the application of prestressing force. SMA transverse reinforcement, known for its shape recovery capability, can help prevent cracking in these critical areas while reducing the congestion of steel reinforcement typically found in highly reinforced sections of bridge girders. The project involved both numerical and experimental studies to investigate damage mitigation during the release of prestress in PC girders. This was achieved by placing transverse SMA bars within the concrete at the end regions of the girders and generating the prestressing force through SMA activation. The results validate the effectiveness of this new reinforcement method in reducing and healing damage in the end regions of PC bridge girders.
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Content Notes:As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT’s Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. This dataset has been curated to CoreTrustSeal's curation level "C. Initial Curation." To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.11476980). NTL staff last accessed this dataset at its repository URL on 2024-08-28. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDigitalSubmissions@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
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Main Document Checksum:urn:sha-512:1f12df49471a5b947870b0a13be391114eb2b95b9bb51f8b9764f55020fd229c8112e74cbaed731bdc4dc4e250eb5113c2a9acd58921d2095c81280bb2b924b0
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