Overview of a Cyber-enabled Wireless Monitoring System for the Protection and Management of Critical Infrastructure Systems

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/84821/1/OverviewSHMTech.pd

The development of life-cycle and risk assessment methodology using data from AWE Aldermaston

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The research described in this thesis further develops Life-Cycle Assessment (LCA) methodology to include radiological releases to air, water and as waste. A new methodology has been developed to characterise radioactive aspects based on known effects to man and behaviour in the environment. Equivalency factors have been developed for nine radioisotopes (24'Am, 137Cs56 0Co, 239Pu52 41Pu53 HI 234U, 235U and 238U). A new LCA valuation method is developed for weighting environmental impacts in an Environmental Management System (EMS). A detailed LCA inventory of environmental burdens has been compiled from data from AWE Aldermaston and used as a case study to develop and demonstrate the methodologies developed in this work. As part of the research, the links between environmental aspects and impacts has been investigated using LCA, based on the high hazard facilities at AWE Aldermaston, which is a major industrial site. The case study also includes the contribution from vehicle use in the impact assessment. The results of this work have clearly identified which facilities and hence which processes are causing the most damaging environmental impact. New risk assessment methods are developed to quantify environmental accidents, that include revised consequence definitions that can be applied without the need for modelling and thus offer an economical alternative to existing methods. A new six-step screening methodology is presented to identify potential major accidents to the environment (MATTE) and to comply with the COMAH Regulations 1999. A method to prioritise MATTE scenarios has also been developed. The research has revealed that the current approach to significance assessment does not provide enough sophistication for sites as complex as AWE Aldermaston. The impacts of most concern are environmental irradiation, the generation of all categories of waste and global warming. The impacts associated with radioactive discharges (to air, water and as waste) are given the highest weighting largely reflecting the concern of the major stakeholder groups (local community, regulatory bodies and pressure groups). The methods proposed can be readily applied to any nuclear or chemical site.Financial support for this work was obtained from AEA Technology Plc, AWE Plc and UKAEA

Smart technologies: Enablers of construction components reuse?

Purpose: The exploitation of smart technologies such as, Radio Frequency Identification (RFID) and Building Information Modelling (BIM) for tracking and archiving the properties of structural components, is an innovative disruption in the construction sector. It could stimulate reuse of construction components, rather than their wastage addressing a serious pressing problem. Methods: This study explores the potential of smart technologies to facilitate construction components reuse, and develops a guidance list for promoting their redistribution back to the supply chain. A preliminary assessment of the strengths, weaknesses, opportunities and threats of the RFID technology is presented in order to depict its current and future potential in promoting construction components’ sustainable lifecycle management, and in capturing and creating value. Results: For both RFID and BIM technologies to operate successfully, the right amount and flow of information at each stage of the design-construction-deconstruction-reuse-disposal process is a prerequisite. Although a number of limitations related to the technical operability and recycling of RFID tags currently withhold its roll-out, technological innovation may provide solutions for the future, enabling it to become mainstream. Conclusions: the use of RFID in the construction sector can create the right conditions for the development of new business models based on the reuse and lifecycle management of components, unlocking multiple technical, environmental, economic, and social benefits. With technological innovation enhancing the capabilities of RFID, and with policy interventions controlling and managing its uptake at all stages of the supply chain, its use as a construction components reuse enabler might soon become realised

Study of Various Automated Construction Materials Tracking Technology

Inventory is important especially in construction project as the proper amount of inventory will ensure that all construction activities will be able to carry out according to the planned schedules. Inadequate amount of inventory will result in job stoppage due to materials required for conducting the work could not be specified at time they are needed, waste of labour working hours, and schedule delays. Construction materials constitute a large portion of the total cost in construction projects. It may account for 50-60% of the total project cost. As the cost of materials is important, the management of materials especially at the inventory level are crucial for the successful project completion. The tracking and locating of materials in construction jobsites has increase a great concern among construction entities. The on-site materials tracking and locating are made complicated by the use of traditional tracking process which is labor intensive, error-prone, not reliable and contribute to the increase in construction costs. Thus, this paper provides a review of the existing issues in material tracking of inventory management process in huge construction projects. The findings reveal that there is a need for more proper technology to be implemented in construction project in order to facilitate materials tracking process and at the same time, reduce dependency on paper work reports in inventory management

Bridges Structural Health Monitoring and Deterioration Detection Synthesis of Knowledge and Technology

INE/AUTC 10.0