Bridge Load and Resistance Factor Rating (LRFR) Assessment \u2013 Statewide

US Transportation Collection2020PDFTech ReportSivakumar, BalaSenturk, EkinHNTB New York Engineering and Architecture, PCNew York State Department of TransportationUnited States. Department of Transportation. Federal Highway AdministrationHNTB New York Engineering and Architecture, PCNew YorkBridge designBridgesCulvertsEmergency vehiclesFinite element methodLoad and resistance factor designLoad factorValidationC-11-04D031028Final ReportThis purpose of this project is to validate the draft New York State Department of Transportation Load and Resistance Factor Rating (LRFR) Engineering Instruction developed to provide guidance on application of the LRFR methodology as specified in the American Association of State Highway and Transportation Officials (AASHTO) Manual for Bridge Evaluation to the evaluation of bridges in New York State through the testing of Level II and Level I ratings to support LRFR implementation. This report documents the Level I ratings of 23 complex bridges and culverts using 2D and 3D finite element (FE) analysis methods. Ratings and load posting evaluations were determined based on both EI 05-034 and the Draft LRFR EI to compare the results of the Load Factor Rating (LFR) and LRFR methodologies. The impact of LRFR ratings on load postings and R-postings for NYS bridges is evaluated. The report provides guidance in load rating and posting requirements of AASHTO Specialized Hauling Vehicles (SHVs) for both LFR and LRFR methodologies, proposes updates to the LFR based EI 05-034 \u201cLoad Rating/Posting Guidelines for State Owned Highway Bridges,\u201d documents suggested \u201cLoad and Resistance Factor Rating (LRFR) Blue Pages,\u201d describes an approach to derive LRFR Condition Factors using AASHTO element inspection data, and documents recommended revisions to the draft LRFR EI. In addition, a statewide bridge inventory screening for SHV and the Fixing America's Surface Transportation (FAST) Act Emergency Vehicles (EV) is performed and the results are presented.120