Risk Assessment of Construction Organization Plans for Bridge Projects

2013 ◽  
Vol 831 ◽  
pp. 370-375
Author(s):  
Yu Qian Wang ◽  
Guo Yan Bian ◽  
Yi Li

This article filled up the blank between risk management in design stage and construction stage of bridge engineering, and proposed the concept of carrying out safety risk management through making prevention measures in construction organization plan. Based on the intrinsic safety theory, five elements, i.e. human, object, environment, system and method in bridge engineering construction management plans were analyzed by analytic hierarchy process and systemic analysis method. Fifteen crucial sub-elements were summarized and index system method was established for the safety risk assessment of sub-elements in construction management plans. Based on the research of the transformation of risk sources in construction management plan to risk events in construction period, expert survey method was established for the safety risk assessment of sub-elements in construction management plans.

2014 ◽  
Vol 998-999 ◽  
pp. 1678-1681
Author(s):  
Hong Mei Cao

Studies have shown that a large proportion of the construction accident causes can be traced back to insufficient safety planning and design. The essence of incorporating the planning and design stage into construction safety risk management is an idea of “forward prevention” and “source management”. In this paper, bridge engineering as an example, a development idea of construction safety risk assessment during the planning and design stages in China were presented, such as perfecting a basic theoretical system, combination of legislative push and engineering practice, derivation the safety planning and design from the project construction status, etc. Chongqi Bridge and Taizhou Bridge engineering cases showed the construction safety could be built by improving the safety planning and design of the project, which could reduce the safety risk and thereby cut down the casualties and health hazard in the construction process.


2011 ◽  
Vol 2 (4) ◽  
pp. 186 ◽  
Author(s):  
Gaurav Sharma ◽  
Anuj Dixit ◽  
Swapnil Awasthi ◽  
Garima Sharma

2021 ◽  
Vol 14 (01) ◽  
pp. 77-86
Author(s):  
Bhima Shakti Arrafat

Every practical activity carried out by student at Aircraft Engineering Departement, then these activities have risks that need mitigation measures. In safety risk management requires departement to conduct an assessment of the risks that can occur from an activity using hazard identification, risk assessment and mitigation. By identifying types of hazards, assessing risks, getting results in the form of risk matrix and risk level and identifying mitigation actions that can be taken and accepted. Furthermore, it produces hazard identification and risk assessment & mitigation (HIRAM) documents, and controls risks to acceptable and tolerable levels with mitigation measures. Safety risk management which is one of the standards in implementing safety management system in Aircraft Engineering Departement can be fulfilled.


2020 ◽  
Vol 37 (7) ◽  
pp. 1251-1268
Author(s):  
Christopher A. Roseman ◽  
Brian M. Argrow

AbstractAs the number of applications for small unmanned (i.e., remotely operated) aircraft systems (sUAS) continues to grow, comprehensive safety risk assessment studies are required to ensure their safe integration into the National Airspace System. One source of hazards for sUAS that has not been extensively addressed is adverse weather. A framework is presented for analyzing weather forecast data to provide sUAS operators with risk assessment information that they can use for making risk-aware decisions. The sUAS Weather Risk Model (sWRM) framework quantifies weather hazard risk for sUAS operations in rural to urban environments using weather forecast, population density, structure density, and sUAS data. sWRM is developed by following the safety risk management guidelines from the U.S. Federal Aviation Administration. Development of sWRM highlights a number of aerospace and meteorological research areas that must be addressed prior to weather risk models for sUAS becoming operational. Primary among these research areas is developing widely available finescale (<1 km) weather forecasts and conducting extensive sUAS flight-report studies to accurately estimate parameters of Bayesian belief network conditional probability tables used in the proposed framework. As a proof of concept, sWRM was applied over Boulder, Colorado, using the High-Resolution Rapid Refresh weather product. This initial demonstration of sWRM highlights the potential effectiveness of a detailed risk assessment model that takes into account high-resolution weather and environmental data.


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