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Assessing the value of data for engineering seismology

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  • Full or part time
    Dr J Douglas
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

The shaking that occurs in the epicentral region of large earthquakes can be highly destructive to civil engineering infrastructure. Sophisticated methods have been developed to assess the risk posed to infrastructure from future earthquakes. These methods combine an assessment of the earthquake ground motions that could occur during the lifetime of the structure (along with their probability of occurrence) with the chance that these ground motions could cause damage. This project is mainly concerned with the first of these steps: seismic hazard assessment but the developed method may have applications in other fields of engineering.

The collection of new data reduces the uncertainties of seismic hazard assessments. These reduced uncertainties may potentially lower the cost of the planned infrastructure either now (by lower construction costs and/or insurance premiums) or in the future (by reduced damage that costs money to repair). Therefore, these input data have an economic value but currently this value is unknown. This unknown value means that it is difficult to justify the collection of new data within a project. This is a problem that occurs in many fields of engineering where there is an upfront cost but whose benefit is difficult to assess. The aim of this project is to investigate this problem and analogues in other fields and to propose a practical method to estimate the value of data and test this method for various data types, locations and hypothetical projects.

This PhD provides an opportunity to join a group of other students investigating various aspects of engineering seismology and earthquake engineering. It would particularly suit a highly-numerate student who is keen to work in the exciting and rapidly changing topic of seismic hazard assessments as well as its economic aspects

Funding Notes

Applicants should have (or expect) a distinction at Master’s level, or a first class BEng/BSc Honours degree, or equivalent, in an Engineering or Physical Sciences subject, with a high mathematical content. Prior knowledge or experience in engineering seismology or seismic hazard or risk assessment would be advantageous but not essential. Previous experience of computer programming would be particularly welcome. Overseas applicants should submit IELTS results (minimum 6.5) if applicable

How good is research at University of Strathclyde in Civil and Construction Engineering?

FTE Category A staff submitted: 20.20

Research output data provided by the Research Excellence Framework (REF)

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