Chapter
Dec 27, 2013
A Probability-Based Methodology for Establishing Non-Extreme and Extreme Vertical Load Combinations for Multi-Hazard LRFD of Bridges
Authors: D. Z. Sun [email protected], B. T. Sun [email protected], J. W. Song [email protected], and George C. Lee [email protected]Author Affiliations
Publication: International Efforts in Lifeline Earthquake Engineering
Abstract
The current probability-based AASHTO LRFD Bridge Design Specifications are fully calibrated against gravity dead load and truck load. However, it does not cover extreme load effects in a consistent fashion. In this paper, a methodology is described to combine extreme and non-extreme loads. To illustrate this method, common truck load and earthquake load combinations are used. This illustration quantitatively shows that the current design practice is non-conservative if only considering peak truck load or peak earthquake load alone; and it is too conservative if the design is based on the combined peak truck and earthquake.
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Information
Published In
International Efforts in Lifeline Earthquake Engineering
Pages: 393 - 400
Copyright
© 2014 American Society of Civil Engineers.
History
Published online: Dec 27, 2013
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ASCE Technical Topics:
- Bridge design
- Continuum mechanics
- Dead loads
- Design (by type)
- Dynamic loads
- Dynamics (solid mechanics)
- Engineering fundamentals
- Engineering mechanics
- Gravity loads
- Load and resistance factor design
- Load combinations
- Load factors
- Seismic loads
- Solid mechanics
- Static loads
- Statics (mechanics)
- Structural design
- Structural dynamics
- Vehicle loads
- Vertical loads
Authors
Affiliations
Institute of Engineering Mechanics, China Earthquake Administration, Key Laboratory of Earthquake Engineering and Engineering Vibration, CEA, Harbin, 150080, China. E-mail: [email protected]
Institute of Engineering Mechanics, China Earthquake Administration, Key Laboratory of Earthquake Engineering and Engineering Vibration, CEA, Harbin, 150080, China. E-mail: [email protected]
University at Buffalo, The State University of New York, NY, 14260, USA. E-mail: [email protected]
University at Buffalo, The State University of New York, NY, 14260, USA. E-mail: [email protected]
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