| Title | Improved Infrastructure Assessment through the Integration of Nondestructive Evaluation and Structural Health Monitoring Paradigms |
|---|---|
| Record ID | 79577 |
| Personal Name Creator |
Moon, Franklin; Braley, John; Gucunski, Nenad |
| Personal Name Contributor |
Azari, Hoda |
| Corporate Creator | United States. Department of Transportation. Federal Highway Administration. Office of Infrastructure Research and Development |
| Corporate Contributor |
Engineering & Software Consultants, Inc.; Rutgers University |
| Publisher | United States. Department of Transportation. Federal Highway Administration. Office of Infrastructure Research and Development |
| Publication Date | 20210101 |
| Language | English |
| Abstract | This report provides recommendations for integrating both nondestructive evaluation (NDE) data and field data from structural health monitoring (SHM) to obtain load ratings that reliably represent a bridge's load-carrying performance. Modern NDE techniques, which provide accurate location and characterization of deteriorations, enable more reliable estimates of capacity. The existing LRFD Bridge Design Specifications provide detailed equations for determining the capacity of a given bridge member (AASHTO 2017). The dimensions or material properties used in these equations should be revised based on NDE results. Several common deterioration types are shown through analytical studies to have minor effects on the capacity of composite girder sections. Demand estimates require structural analysis to translate globally applied loads to their corresponding member actions or force effects. The effects of local deterioration and defects on member demands were investigated through finite-element (FE) simulation and were shown to have negligible effect (<3 percent). However, an in situ structure may behave very differently than predicted by demand models. Field data from SHM may be leveraged to reduce the uncertainty associated with those demand models. The use of experimental distribution factors(introduced in this report) is shown to more reliably estimate demands compared to the methods provided by the Manual for Bridge Evaluation for incorporating results from diagnostic and proof-level load tests (AASHTO2018). However, it is recommended that refined analysis with FE models be used when practical, as this method permits explicit consideration of all influential mechanisms. |
| Rosap ID | dot:54586 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/54586 |
| TRT Terms | Infrastructure; Nondestructive tests; Structural health monitoring; Load factor |
| General Subjects | NDE; Nondestructive evaluation; SHM; Structural health monitoring; Load rating; Refined analysis; Field data; Diagnostic testing; Proof testing; Load testing |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
1764699 |
| Contract Number | DTFH61-14-D-00011 |
| Report Number | FHWA-HRT-21-011 |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/79000/79500/79577/FHWA-HRT-21-011.pdf |
| Format | |
| Database | NTL Digital Repository |