Transportation Infrastructure Precast Innovation Center (TRANS-IPIC) Data Management Plan

Andrawes, Bassem; Lockwood, Chris

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Transportation Infrastructure Precast Innovation Center (TRANS-IPIC) Data Management Plan

2023-12-07
By Andrawes, Bassem ; Lockwood, Chris

File Language:

English

Details

Alternative Title:

TRANS-IPIC Data Management Plan
Creators:

Andrawes, Bassem ; Lockwood, Chris
Corporate Creators:

Transportation Infrastructure Precast Innovation Center (TRANS-IPIC) Tier-1 University Transportation Center (UTC)
Corporate Contributors:

University of Illinois at Urbana-Champaign ; Louisiana State University ; Purdue University ; University at Buffalo, Buffalo ; University of Texas at San Antonio
Subject/TRT Terms:
Resource Type:

Data Management Plan
Geographical Coverage:

Illinois;Indiana;Louisiana;New York;Texas
Corporate Publisher:

Transportation Infrastructure Precast Innovation Center (TRANS-IPIC) Tier-1 University Transportation Center (UTC)
Abstract:

The Transportation Infrastructure Precast Innovation Center (TRANS-IPIC) is a Tier 1 University Transportation Center (UTC) funded by the Bipartisan Infrastructure Law (BIL). TRANS-IPIC targets the U.S. Department of Transportation's statutory research priority area of "Improving Durability and Extending the Life of Transportation Infrastructure". TRANS-IPIC's mission is to leverage research innovation and strong industry support to foster research and education that focus on utilizing Precast Concrete (PC) and its related technologies as an economic approach for providing a quick boost for the durability, safety, and climate-adaptability of various modes of transportation networks in the U.S. through infrastructure repair or reconstruction. TRANS-IPIC researchers study the use of PC-related solutions that are based on innovative and smart materials (e.g., smart composites and metals) and novel emerging manufacturing schemes that involve robotics and automated manufacturing (e.g., 3D printing and UAVs) guided by big data analytics and Artificial Intelligence (AI).
Format:

PDF
Funding:

69A3552348333
Download URL:

https://rosap.ntl.bts.gov/view/dot/72746/dot_72746_DS1.pdf
File Type:

[PDF - 236.79 KB]
Collection(s):

US DOT Public Access Data Management Plans ; University Transportation Centers
Main Document Checksum:

urn:sha-512:1c72ab1ebf8303fae3530fbee1d50ca459ce02f86baebedfe5c7b0af6def6acf08bd7e0069581f66097501254f9fed2b365a4bbda5f1c347680c8fb170c5a7c7

File Language:

English

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