Risk-Based Approach for Optimum Maintenance of Bridges under Traffic and Earthquake Loads

脆弱性(计算) 桥(图论) 地震风险 地震情景 环境科学 可靠性工程 结构工程 工程类 风险分析(工程) 法律工程学 计算机科学 土木工程 地震灾害 业务 计算机安全 医学 内科学
作者
Benjin Zhu,Dan M. Frangopol
出处
期刊:Journal of Structural Engineering-asce [American Society of Civil Engineers]
卷期号:139 (3): 422-434 被引量:88
标识
DOI:10.1061/(asce)st.1943-541x.0000671
摘要

Structures deteriorate as a result of material aging, aggressive environmental conditions, and increasing loads. During their lifetime, structures are also possibly exposed to some extreme events. The associated consequences of failure caused by progressive deterioration or extreme events can be devastating. Therefore, risk assessment and risk mitigation are necessary to keep structural performance within tolerable levels. This paper proposes an approach for assessing the time-dependent risks caused by traffic and earthquake loads and establishing the optimal preventive and essential maintenance strategies of bridges. The efficiency of the proposed approach is demonstrated using a highway bridge. Socioeconomic and environmental losses are investigated in a consequence-based framework. The vulnerability analysis under traffic loads is performed using time-dependent deterioration and traffic load models. The time-dependent failure probability for given earthquake loads is computed by comparing displacement ductility capacity and demand obtained via nonlinear dynamic analysis. The risks from 196 earthquake scenarios associated with four magnitudes and 49 earthquake strike locations are compared, and the highest one is selected as representative of the seismic risk. Based on the available maintenance options and the associated costs, the optimal lifetime essential/preventive maintenance strategies for total risk mitigation are developed.
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
苏qj完成签到,获得积分10
刚刚
1秒前
1秒前
1秒前
1秒前
2秒前
科研通AI6.2应助treasure盼采纳,获得10
2秒前
3秒前
无言发布了新的文献求助10
3秒前
科研通AI6.4应助EVSSDF采纳,获得150
4秒前
4秒前
Huang完成签到,获得积分10
4秒前
医平青云完成签到 ,获得积分10
4秒前
Katherine发布了新的文献求助10
4秒前
4秒前
www发布了新的文献求助20
5秒前
泪了睡吧完成签到,获得积分10
5秒前
cslghe发布了新的文献求助10
5秒前
6秒前
6秒前
狂野的蜡烛应助girl采纳,获得10
6秒前
6秒前
傅jh发布了新的文献求助10
7秒前
7秒前
Mr强完成签到 ,获得积分10
7秒前
8秒前
10秒前
8R60d8应助的服务费采纳,获得10
10秒前
nxl发布了新的文献求助10
10秒前
Jasper应助的服务费采纳,获得100
10秒前
做的出来发布了新的文献求助10
11秒前
11秒前
汉堡包应助为啥采纳,获得10
11秒前
Ava应助露桥闻笛采纳,获得10
11秒前
11秒前
11秒前
上官若男应助dingly采纳,获得10
11秒前
12秒前
luo发布了新的文献求助10
12秒前
13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
Principles of town planning: translating concepts to applications 1000
2016 Venous Blood Study (VBS) (Final V3.0) 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Effective Clinical Neurologist 3ed 500
The Great Hymn to Šamaš 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 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7699423
求助须知:如何正确求助?哪些是违规求助? 9258839
关于积分的说明 20016278
捐赠科研通 7274614
什么是DOI,文献DOI怎么找? 3293530
关于科研通互助平台的介绍 2448957
邀请新用户注册赠送积分活动 2299838