机构:
Virginia Mil Inst, Dept Civil & Environm Engn, Lexington, VA 24450 USATexas Tech Univ, TechMRT Multidisciplinary Res Transportat, Lubbock, TX 79409 USA
Newhouse, Charles D.
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机构:
[1] Texas Tech Univ, TechMRT Multidisciplinary Res Transportat, Lubbock, TX 79409 USA
Analyses of two production-oriented culvert load-rating demand models were performed using live-load test data from three instrumented RC box culverts under four cover soil depths. The demand models were a two-dimensional (2D) structural-frame model and a 2D soil-structure interaction model. As expected, increased sophistication in the soil-structure model compared with the structural-frame model resulted in higher precision and accuracy for predicted moments. The impact of modeling accuracy for sections in a culvert where the demand moments approach zero was deemed practically insignificant. When evaluating model accuracy, it is of first importance that the models predict meaningful load magnitudes. Variations in predicted moment accuracy and precision were not uniform but were a function of the location of the critical section in the culvert structure. Improvements in modeling prediction associated with increased modeling sophistication were seen only when the structural-frame model was very imprecise. DOI: 10.1061/(ASCE)BE.1943-5592.0000638. (C) 2014 American Society of Civil Engineers.
机构:
Univ Kentucky, Dept Mech Engn, Ralph G Anderson Bldg, Lexington, KY 40506 USAUniv Kentucky, Dept Mech Engn, Ralph G Anderson Bldg, Lexington, KY 40506 USA
Sharifi, Hossein
Peiris, Abheetha
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机构:
Univ Kentucky, Kentucky Transportat Ctr, Lexington, KY 40506 USAUniv Kentucky, Dept Mech Engn, Ralph G Anderson Bldg, Lexington, KY 40506 USA
Peiris, Abheetha
Harik, Issam
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Univ Kentucky, Dept Civil Engn, Lexington, KY 40506 USAUniv Kentucky, Dept Mech Engn, Ralph G Anderson Bldg, Lexington, KY 40506 USA