Machine Learning Solutions for Top-Down Cracking Design of Airport Rigid Pavement

Ashtiani, Ali Z; Paniagua, Thomas; Parsons, Timothy (Tim); Foderaro, Greg

doi:10.21949/1524514

i

Machine Learning Solutions for Top-Down Cracking Design of Airport Rigid Pavement

2022-11-01
By Ashtiani, Ali Z ; Paniagua, Thomas ; Parsons, Timothy (Tim)

File Language:

English

Details

Creators:

Ashtiani, Ali Z ; Paniagua, Thomas ; Parsons, Timothy (Tim) ; Foderaro, Greg
Corporate Creators:

Applied Research Associates, Inc.
Corporate Contributors:

United States. Department of Transportation. Federal Aviation Administration. Aviation Research Division
Subject/TRT Terms:
Publication/ Report Number:

DOT/FAA/TC-22/44
DOI:

https://doi.org/10.21949/1524514
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report
Contracting Officer:

Brill, David
Corporate Publisher:

United States. Department of Transportation. Federal Aviation Administration. William J. Hughes Technical Center
Abstract:

The Federal Aviation Administration (FAA) rigid pavement design process is based on bottom-up cracking failure resulting from tensile stress at the bottom of a flat slab under aircraft loads. The FAA has a long-term goal to add top-down cracking failure mode to the FAA Rigid and Flexible Iterative Elastic Layered Design (FAARFIELD) program. The existing design procedure is not suitable to support design for the top-down cracking failure mode. Critical stresses for rigid pavement design can be calculated by Finite Element Analysis - FAA (FEAFAA), the FAA three-dimensional finite element (3D-FE) program. However, direct use of 3D-FE methods in design software is typically far more time-consuming than is acceptable for design procedures.
Format:

PDF
Funding:

692M15-20-T-00033
Download URL:

https://rosap.ntl.bts.gov/view/dot/65503/dot_65503_DS1.pdf
File Type:

[PDF - 2.23 MB]
Collection(s):

Artificial Intelligence Deployment Center of Excellence (AI COE) ; FAA William J. Hughes Technical Center for Advanced Aerospace
Main Document Checksum:

urn:sha-512:313406948058f5c5323531a4362128626907acc7d9d3326a2d7964e9484d3b8b2fe8cccbba3ce7148fb007014df6f1fd7362c52c988ec6aa02a9ec1352427fcc

File Language:

English

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