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.