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

Table 1

Statistical characteristics of the vehicle loads.

Date	Vehicle number	Mean value/ton	Standard deviation/ton	Coefficient of variation	Maximum value/ton
20120916	7408	11.29345	9.787491	0.866652	65.5
20120926	7399	13.15604	10.88008	0.827002	72.4
20121102	14627	7.913687	10.33094	1.305452	72.7
20121103	11351	8.199344	10.54972	1.286654	73.5
20121106	13263	8.948771	11.30286	1.263063	75.1
20121107	13641	8.587805	10.70217	1.246205	80.95
20121110	10426	8.58123	11.2873	1.315347	124.4
20121111	11694	7.499042	9.344368	1.246075	71.3
20121112	11633	8.413505	9.937082	1.181087	71.5
20121114	14232	7.807947	9.695331	1.241726	89.2
20121127	12080	8.341387	10.46041	1.254038	103.5
20121128	11771	8.037461	9.97701	1.241314	102.3
20130101	10459	6.523783	9.956516	1.526187	70.4
20130102	10835	6.878782	10.37906	1.508851	69.9

Note that the vehicle number of Table 1 is just that of one direction of vehicles compared to the average vehicle number of 23000 per day in two directions.