scholarly journals Study on the Applicability of the Exterior Condition Assessment to Evaluate The Physical Vulnerability of Check Dams

2021 ◽  
Vol 21 (6) ◽  
pp. 71-84
Author(s):  
Kihwan Lee ◽  
Choongsik Woo
Keyword(s):  
Condition Assessment ◽  
Mountain Streams ◽  
Management Systems ◽  
Physical Vulnerability ◽  
Maintenance Strategies ◽  
Large Dams ◽  
Check Dams ◽  
Key Characteristics ◽  
Short Period ◽  
Damage Types

Check dams are a typical structural approach used in watershed disaster management systems. Currently, approximately 12,000 check dams have been estimated to be constructed on mountain streams in Korea. More than 90% of these have been constructed in the last 20 years. This rapid increase over a short period of time has attracted attention to the necessity of maintenance strategies for check dams. The purpose of this study is to examine the applicability of the exterior condition assessment to evaluate the degree of deterioration in check dams. We classify the typical damage types of check dams and describe its key characteristics. Moreover, we apply a modified version of the condition assessment for large dams to meet the characteristics of check dams.

scholarly journals Assessing the physical vulnerability of check dams through an empirical damage index

2013 ◽  
Vol 43 (4) ◽  
pp. 2 ◽  
Author(s):  
Andrea Dell'Agnese ◽  
Bruno Mazzorana ◽  
Francesco Comiti ◽  
Patricia Von Maravic ◽  
Vincenzo D’agostino
Keyword(s):  
Structural Characteristics ◽  
Damage Index ◽  
Mountain Streams ◽  
Check Dam ◽  
Physical Vulnerability ◽  
Dual Nature ◽  
Control Structures ◽  
Functional Relationships ◽  
Check Dams ◽  
Protection Systems

A comprehensive analysis of flood risk in mountain streams has to include an assessment of the vulnerability of the protection systems, in addition to an assessment of the vulnerability of the constructed environment on alluvial fans and floodplains. Structures forming the protection systems are of a <em>dual nature</em>, <em>i.e.</em> they are designed to mitigate natural process-related hazards and, on the other hand, are prone to be damaged during their lifecycle by the same processes they should mitigate. Therefore, their effectiveness declines over time. Hence, the knowledge of how effectively control structures perform is essential for risk management. A procedure was developed to assess the physical vulnerability of check dams based on empirical evidence collected in South Tyrol, Northern Italy. A damage index defined on pre- and postevent comparisons of check dam conditions was evaluated for 362 structures in 18 mountain streams along with the relevant processes and the structural characteristics affecting it. Although the available dataset did not allow conclusive functional relationships between damage index and impact variables to be established, it was possible to assess the average expected residual functionality of check dams according to structure characteristics, and event type and intensity. These results may help plan appropriate check dam maintenance.

Multi-dimensional model for determining the leading performance indicators of safety management systems

Work ◽  
2020 ◽  
Vol 67 (4) ◽  
pp. 959-969
Author(s):  
Mohsen Falahati ◽  
Ali Karimi ◽  
Iraj Mohammadfam ◽  
Adel Mazloumi ◽  
Ali Reza Khanteymoori ◽  
...  
Keyword(s):  
Performance Indicators ◽  
Safety Management ◽  
Health And Safety ◽  
Key Performance Indicators ◽  
Management Systems ◽  
Performance Measurements ◽  
Organizational Strategies ◽  
Safety Management Systems ◽  
Ahp Method ◽  
Short Period

BACKGROUND: Health and safety performance measurements aimed to provide information on the progress and current situation of organizational strategies and activities. OBJECTIVES: We developed a model to determine and select safety key performance indicators in order to assess safety management systems. METHODS: This study has been designed in six steps aiming at defining a model of leading performance indicators (LPIs) and selecting key performance indicators (KPIs) using the AHP method. RESULTS: According to the results analysis, 116 structural and operational indicators were defined based on the components of the OHSAS 18001 management system. For this purpose, 19 structural, 27 operational and 33 active KPIs were selected by AHP and BN techniques. CONCLUSION: Development of LPIs is influenced by various organizational, managerial, and operational factors. LPIs extracted from the components of the OHS-MS deployed in an organization are often passive and cannot show the changes in the safety status of a workplace in a short period. The model presented in this study was designed with an emphasis on extraction of active and operational indicators, as they were capable of detecting performance changes in construction industries.

scholarly journals Vision-Based Pavement Marking Detection and Condition Assessment—A Case Study

2021 ◽  
Vol 11 (7) ◽  
pp. 3152
Author(s):  
Shuyuan Xu ◽  
Jun Wang ◽  
Peng Wu ◽  
Wenchi Shou ◽  
Xiangyu Wang ◽  
...  
Keyword(s):  
Condition Assessment ◽  
Damage Estimation ◽  
Comprehensive Understanding ◽  
Maintenance Strategies ◽  
Traffic Demand ◽  
Pavement Markings ◽  
Road Users ◽  
Wear And Tear ◽  
Pavement Marking

Pavement markings constitute an effective way of conveying regulations and guidance to drivers. They constitute the most fundamental way to communicate with road users, thus, greatly contributing to ensuring safety and order on roads. However, due to the increasingly extensive traffic demand, pavement markings are subject to a series of deterioration issues (e.g., wear and tear). Markings in poor condition typically manifest as being blurred or even missing in certain places. The need for proper maintenance strategies on roadway markings, such as repainting, can only be determined based on a comprehensive understanding of their as-is worn condition. Given the fact that an efficient, automated and accurate approach to collect such condition information is lacking in practice, this study proposes a vision-based framework for pavement marking detection and condition assessment. A hybrid feature detector and a threshold-based method were used for line marking identification and classification. For each identified line marking, its worn/blurred severity level was then quantified in terms of worn percentage at a pixel level. The damage estimation results were compared to manual measurements for evaluation, indicating that the proposed method is capable of providing indicative knowledge about the as-is condition of pavement markings. This paper demonstrates the promising potential of computer vision in the infrastructure sector, in terms of implementing a wider range of managerial operations for roadway management.

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