Virginia Bridge Deterioration Factors

S. Clonts, Lia Cooley, P. Freitag, Bryan R. Soltis
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引用次数: 1

Abstract

Over four thousand bridges in the Virginia Department of Transportation's (VDOT) inventory are structurally deficient or obsolete. This project aimed to determine relevant bride deterioration factors in Virginia while providing a historical overview of Virginia's bridge ratings and deterioration rates. The team specifically analyzed the differences in the impact of deterioration factors by Virginia districts and bridge structure types. Using VDOT's inspection data from their Bridge Resource Management (BrM) system, we analyzed Virginia responsible bridge inspections from 2000–2015. Then we worked with a team from VDOT's Structure and Bridge Division to establish the most important factors that constitute an inspection record. We used a random forest algorithm to determine variable importance and relationships between important variables. We created 27 models in total which determined the relative influence of bridge-specific and environmental factors on bridges' overall condition ratings, as well as the bridge component condition ratings. Our models gave us an understanding of the relative importance of all factors analyzed across all bridge types. With 28 variables, the full model was 84.6% accurate on the test set. Our team further analyzed how ratings differ by district and bridge structure type. District trends were especially important to understand overall state consistency. Results confirmed factors such as bridge age, daily traffic, and relative location were influential in determining condition ratings between different districts and structure types. Limitations in analysis include inaccurate data for inspection ratings and bridge characteristics. Analysis is also ongoing, limiting the current definitive conclusions we can propose.
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弗吉尼亚大桥老化因素
在维吉尼亚运输部(VDOT)的清单中,有超过4000座桥梁存在结构缺陷或过时。该项目旨在确定弗吉尼亚州相关的桥梁恶化因素,同时提供弗吉尼亚州桥梁评级和恶化率的历史概况。该团队特别分析了弗吉尼亚地区和桥梁结构类型对恶化因素影响的差异。利用VDOT桥梁资源管理(BrM)系统的检查数据,我们分析了2000年至2015年弗吉尼亚州负责桥梁的检查。然后,我们与VDOT结构和桥梁部门的一个团队合作,确定了构成检查记录的最重要因素。我们使用随机森林算法来确定变量的重要性和重要变量之间的关系。我们总共创建了27个模型,这些模型确定了桥梁特定因素和环境因素对桥梁整体状况评级以及桥梁部件状况评级的相对影响。我们的模型让我们了解了所有桥梁类型中分析的所有因素的相对重要性。有28个变量,整个模型在测试集上的准确率为84.6%。我们的团队进一步分析了不同地区和桥梁结构类型的评级差异。地区趋势对于了解整个州的一致性尤为重要。结果表明,桥梁年龄、日交通量、相对位置等因素对不同区域和不同结构类型之间的状况等级有影响。分析的局限性包括检查额定值和桥梁特性的数据不准确。分析也在进行中,限制了我们目前可以提出的明确结论。
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