Statistical Significance of Less Common Load Combinations

Wang

Chen

et al. 2015

Shock and Vibration

To study the vehicle load characteristics of bay bridges in China, especially truck loads, we performed a statistical analysis of the vehicle loads on Hangzhou Bay Bridge using more than 3 months of weigh-in-motion data from the site. The results showed that when all the vehicle samples were included in the statistical analysis, the histogram of the vehicles exhibited a multimodal distribution, which could not be fitted successfully by a familiar single probability distribution model. When the truck samples were analyzed, a characteristic multiple-peaked distribution with a main peak was obtained. The probability distribution of all vehicles was fitted using a weighting function with five normal distributions and the truck loads were modeled by a single normal distribution. The results demonstrated the good fits with the histogram. The histograms of different time periods were also analyzed. The results showed that the traffic mainly comprised two-axle small vehicles during the rush hours in the morning and the evening, and the histogram could be fitted approximately using three normal distribution functions. And the maximum value distributions of vehicles during the design life of the bay bridge were predicted by maximum value theory.

Section: Distribution Of the Maximum Value Of Trucks During The Refermentioning

confidence: 99%

Probability Model of Hangzhou Bay Bridge Vehicle Loads Using Weigh-in-Motion Data

Wang

Chen

et al. 2015

Shock and Vibration

Disaster Prevention and Management: An International Journal

“…Expanding on conditional probability calculations presented in Hida (2007), let P(B) represent the likelihood of a given seismic event occurring and P(A|B) represent the likelihood of a given category of collapse of a structure with a given level of vulnerability. The probability P(A|B) must be based on anecdotal evidence.…”

Section: An Approach To Developing Hazard Tables For Ownersmentioning

confidence: 99%

Design of Highway Bridges against Extreme Hazard Events: Issues, Principles and Approaches

2009

After visiting areas affected by major natural and manmade disasters during the past several years in the U.S. and abroad, the authors of this report identified a need to consider the development of multi-hazard design principles and guidelines for highway bridges. They began by reviewing existing information with the aim to expand the methods and approaches established in earthquake engineering. During the past two years, a number of exploratory studies have been carried out to define a potential research project that may be accomplished within a period of several years with a moderate but reasonable budget. These pilot studies included the following:

“…To overcome the challenges, many efforts [3][4][5][6][7][8][9] have been made in the past decades. However, because numbers of assumptions have to be made in each model, no general conclusions can be drawn about satisfactory approach to deal with load combination of earthquake load and truck load.…”

Section: Introductionmentioning

confidence: 99%

Study Based on Bridge Health Monitoring System on Multihazard Load Combinations of Earthquake and Truck Loads for Bridge Design in the Southeast Coastal Areas of China

Chen

2015

Shock and Vibration

Similar to AmericanLRFD Bridge Design Specifications, the current Chinese bridge design code is fully calibrated against gravity load and live load. Earthquake load is generally considered alone and has its own methodology, however, which is not covered in the code in a consistent probability-based fashion. Earthquake load and truck load are the main loads considered in the basis of bridge design in more than 70% of seismic areas in China. They are random processes, and their combination is the main subject of this paper. Seismic characteristics of southeast coastal areas of China are discussed and an earthquake probability curve is calculated through seismic risk analysis. Using measured truck load data from a Bridge Health Monitoring System, the multimodal characteristics of truck load are analyzed and a probability model for a time intervaltis obtained by fitting results and reliability theory. Then, a methodology is presented to combine earthquake load and truck load on a probabilistic basis. To illustrate this method, truck load and earthquake load combinations are used. Results conceptually illustrate that truck load and earthquake load are not dominant in southeast coastal areas of China, but the effect of their combination is. This methodology quantitatively demonstrates that the design is controlled by truck load in most ranges; that is, truck load is more important to bridge design in the region.