Incorporating defect specific condition indicators in a bridge life cycle analysis

Incorporating defect specific condition indicators in a bridge life cycle analysis
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在桥梁生命周期分析中纳入缺陷特定条件指标

DOI:
10.1016/j.engstruct.2021.113003
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发表时间:
2021
影响因子:
5.5
通讯作者:
Calvert G
Calvert G
中科院分区:
工程技术2区
文献类型:
--
作者:
Calvert G

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桥梁是交通网络安全、可靠和正常运行的关键资产。基础设施资产管理人员负责确保这些桥梁遵守严格的安全标准,利用运输机构可用的有限资源。为了促进战略制定并向利益相关者提供决策,通常会进行生命周期分析。许多桥梁业主使用随机模型,这些模型使用目视检查的状态记录进行校准,然而,状态记录通常以单一状态量表报告桥梁状态。在这项研究中,缺陷的具体条件尺度被用来实现多个缺陷的具体条件指标的恶化建模。这些额外的指标使得能够对劣化期间缺陷之间的相互作用进行建模。此外,该指标被用于不同的缺陷特定的维护干预措施的建模提供的范围,以定量评估的战略,有利于早期干预的影响。一个多缺陷恶化模型作为一个动态贝叶斯网络,这是校准使用记录的金属梁在英国的铁路桥梁。一个Petri网模型,然后使用执行的生命周期分析,它采用了一种新的动态条件的方法,Petri网建模,利用多个条件指标。
Bridges are critical assets for the safe, reliable and functional operation of transportation networks. Infrastructure asset managers are responsible for ensuring that these bridges adhere to rigorous safety standards using the finite resources available to transportation agencies. To facilitate strategy development and to present decisions to stakeholders, a life cycle analysis is commonly performed.Many bridge owners use stochastic models that are calibrated using condition records from visual examinations, however, condition records typically report bridge condition on a single condition scale. In this study, defect specific condition scales are utilised to implement multiple defect specific condition indicators in the modelling of deterioration. These additional indicators enable the modelling of the interactions between defects during deterioration. Moreover, the indicators are used in the modelling of different defect specific maintenance interventions providing the scope to quantitatively assess the effects of strategies that favour early intervention.A multiple defect deterioration model is presented as a dynamic Bayesian network, which is calibrated using records for metallic girders from railway bridges in the United Kingdom. A Petri net model is then used to perform a life cycle analysis, which incorporates a novel dynamic conditional approach for Petri net modelling to utilise the multiple condition indicators.
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Nam Lethanh;B. Adey;D. Fernando
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DOI: --
发表时间: 2021
期刊: Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations
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作者:
G. Calvert;L. Neves;J. Andrews;M. Hamer
通讯作者: M. Hamer