A Comparative Assessment of Bridge Deck Wearing Surfaces: Performance, Deterioration, and Maintenance

桥面 桥(图论) 甲板 卡车 计算机科学 工程类 运输工程 法律工程学 结构工程 医学 内科学 航空航天工程
作者
Akshay Kale,Yonas Kassa,Brian Ricks,Robin Gandhi
出处
期刊:Applied sciences [Multidisciplinary Digital Publishing Institute]
卷期号:13 (19): 10883-10883 被引量:7
标识
DOI:10.3390/app131910883
摘要

Bridge decks deteriorate faster compared to other bridge components, primarily influenced by traffic volume, while previous studies have examined the effect of bridge-wearing surfaces on deterioration, further understanding of the relationship between bridge performance and maintenance is needed for policy-making and planning purposes. In this study, we focus on nine influential variables to unravel the intricate connections among performance, deterioration, and maintenance of six distinct bridge-wearing surfaces: Monolithic Concrete, Gravel, Wood or Timber, Bituminous, Low Surface Concrete, and Other. Statistical analyses were employed to determine associations between variables and concepts, exploring similarities and differences across various wearing surface types. In particular, machine learning algorithms were utilized to model the maintenance considering the performance and deterioration of the six diverse wearing surfaces. This approach allowed for an examination of interactions between those variables and concepts. We further applied a well-performing prediction model (which achieved an accuracy of 0.86 and an AUC score of approximately 0.83) to obtain interpretable insights regarding bridge deck surfaces. Analysis with interpretable methods such as SHAP (Shapley additive explanation) and PDP (partial dependency plot) revealed that deterioration, deck age, deck area, and overall performance were the most influential variables among average daily traffic, average daily truck traffic, and the number of spans significantly influenced the maintenance of bridge deck condition with different wearing surfaces. Notably, a strong relationship between performance and maintenance was observed in specific wearing surface types, such as Monolithic Concrete and Wood or Timber, while Other surface types exhibited different patterns. These findings highlight the need for tailored approaches when assessing bridge health, considering the distinct characteristics of different bridge deck types.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
wei完成签到,获得积分10
1秒前
科研通AI2S应助飞行雪绒采纳,获得10
1秒前
xia完成签到,获得积分10
2秒前
2秒前
fsz发布了新的文献求助10
3秒前
丘比特应助受伤金鑫采纳,获得10
4秒前
DW应助水孩子采纳,获得10
4秒前
秀秀秀发布了新的文献求助10
4秒前
困困包完成签到,获得积分10
4秒前
吴先生完成签到 ,获得积分10
5秒前
6秒前
小绿完成签到 ,获得积分10
6秒前
GQG发布了新的文献求助10
8秒前
科研顺利发布了新的文献求助10
8秒前
方丈渣渣完成签到,获得积分10
8秒前
泡芙1207完成签到,获得积分10
9秒前
zero完成签到,获得积分10
9秒前
9秒前
钟什么海完成签到,获得积分10
10秒前
10秒前
苍木发布了新的文献求助10
11秒前
外向青筠发布了新的文献求助10
12秒前
14秒前
爱吃樱桃的菁菁应助Eclin采纳,获得10
15秒前
EMP发布了新的文献求助10
16秒前
ZQ完成签到,获得积分10
16秒前
16秒前
16秒前
123发布了新的文献求助10
16秒前
黄天完成签到 ,获得积分10
17秒前
17秒前
欢喜的元霜完成签到,获得积分10
19秒前
ln完成签到,获得积分20
19秒前
yuko完成签到 ,获得积分10
19秒前
BHSRGSW完成签到,获得积分20
19秒前
SciGPT应助abll采纳,获得10
19秒前
lsn发布了新的文献求助10
19秒前
二毛完成签到,获得积分0
20秒前
20秒前
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7761241
求助须知:如何正确求助?哪些是违规求助? 9306359
关于积分的说明 20294048
捐赠科研通 7345867
什么是DOI,文献DOI怎么找? 3313115
关于科研通互助平台的介绍 2463411
邀请新用户注册赠送积分活动 2327363