Risk-Based Cost-Effectiveness Analysis of Waste Handling Practices in the Arctic Drilling Operation

WIT Transactions on the Built Environment

2018

A competitive road construction industry can provide various benefits to the society, such as designing and building road infrastructures which can cope with the ever-changing social and economic needs. Hence, in today's competitive market, construction companies have to assess the cost effectiveness of road transport projects in order to support well-informed decision-making. Proper impact assessment will result in road design that is more advanced, efficient operations and improved environmental protection. The traditional road impact assessment methodologies, however, lack the integration of the available natural resources (renewable and non-renewable), environment and relevant stakeholders during the planning phase. The central thrust of this paper is thus to propose a holistic methodology for assessing the impacts of the road projects by taking into account the available natural resources, the environment and by involving all relevant stakeholders. The paper also outlines steps to assess both monetised and non-monetised impacts. By employing the proposed steps, the advantages and disadvantages of new road networks can be identified in a methodical way.

Section: Proposed Holistic Methodologymentioning

confidence: 99%

Impact Assessment of Road Infrastructure: A Holistic Approach

WIT Transactions on the Built Environment

2018

“…In this PHA, experts are scored on the basis of answers to questions for which the answer is only known to the analyst. The non-normalised performance-based weight for expert i, can be defined as follows, based on Cooke [13] and Ayele et al [14] ∝ ,…”

Section: Catastrophicmentioning

confidence: 99%

Preliminary Hazard Analysis for Uav-Assisted Bridge Inspection

WIT Transactions on the Built Environment

Ashraf

2020

Unmanned aerial vehicle (UAV) technology has found its way into a number of civilian applications in the last 20 years, predominantly due to lower costs and tangible scientific improvements. In its application to structural bridge inspection, UAVs provide two main functions. The first, being the most common, detects damage through visual sensors. The 2D imagery data can be used to quickly establish a basic knowledge of the structure's condition and is usually the first port of call. The second reconstructs 3D models to provide a permanent record of geometry for each bridge asset, which could be used for navigation and control purposes. However, there are various problems associated with the use of UAVs for bridge inspection, in particular, in cold operating environments, such as Norway. This paper will integrate scenario prediction and assess hazards as well as the social and environmental loss in the case of UAV-assisted bridge inspection. Further, this paper will follow rather closely a threephase process: hazard identification, hazard analysis, and hazard evaluation, all executed with qualitative data and methods by experts of a variety of fields, methodologies for recognition of the impact of cold operating environment on the performance of UAVs and UAV-pilots, creative interpretation of the hazard factors of identifiable problems, or even brainstorming about "imaging the unimaginable".

“…Moreover, performance-based weighting can help to reduce the bias and uncertainty distributions over the parameters. 30 Based on the above discussion, in the proposed methodology, expert judgements are considered as an important source of information for quantifying the system failure rate as well as the consequences. Probabilities or frequencies of system failures are primarily obtained from judgements from experienced risk analysts.…”

Section: Stage Ii: Structuring the Analysismentioning

confidence: 99%

“…Since degree-of-belief probabilities are personal and vary from expert to expert and from time to time, there is no 'true' probability that one might use as a measure of the accuracy of a single elicited probability. 29,30 To illustrate the kinds of distortion that are possible in the specification of weighted distributions for the degree-of-belief probabilities, 10 experts were asked to specify 5% (lower), 50% (median) and 95% (upper) failure probability values for various components of the power distribution system. These parameters included the HSE and reputation consequence of the components of LVOH, ULCE and CP.…”

Section: Reliability Analysis and Maintainability Analysis Of Cpmentioning

confidence: 99%

Risk analysis in low-voltage distribution systems

Aliyari

Proceedings of the Institution of Mechanical Engineers, Part O:

Barabadi

et al. 2018

Electric power distribution is a complex network involving technical challenges from a wide range of sources, a considerable degree of risk and substantial financial resources. Design and maintenance strategies must take account of the risk of failure of distribution components, that is, both the probability of failure and its consequences have to be considered. Historical failure and repair data are essential inputs for risk analysis, since they reflect the actual operational conditions that the system and its components have experienced. Failure and repair data analysis generally aims at decreasing the risk of failure, by providing essential information for maintenance and logistic planning to reduce the probability, as well as the consequence, of failure. Hence, when maintaining and designing distribution networks, it is imperative to identify and quantify all risks – direct financial, health, safety and environmental, and reputation – using the field failure and repair data. However, in the majority of the available literature regarding the failure and repair data analysis of distribution networks, especially the low-voltage distribution, the set of risk analysis principles is not integrated or in some cases is not detailed. The purpose of this article is to propose a methodology for identifying a suitable failure analysis tool for low-voltage distribution by integrating a set of risk analysis principles, as well as the reliability and maintainability estimation. The application of the proposed methodology is demonstrated by a real case study via an evaluation of the power outages data.