14 September 202310:00 - 17:30 BST
Member: £305 + VAT
(Early booking £275 + VAT)
Standard: £425 + VAT
(Early booking £385 + VAT)
available until one month prior
By the end of the course, you should be able to:
Differentiate between reliability, risk and resilience when quantifying structural performance
Appreciate the role of robustness and resilience in the design of structures
Understand the role of aleatory and epistemic uncertainties in the design of structures
Decide which design situations are best suited for the adoption of performance-based approaches, and justify their use in the professional practice
Break down the application of performance-based design into sequential stages, from assessing the relevant hazards to estimating the resulting losses
Recommend a range of structural and non-structural solutions to enhance resilience and robustness
Practising civil and structural engineers who are keen to achieve resilience and robustness in structural design beyond the application of prescriptive codes of practice. It will also be of interest to those from other construction disciplines who wish to obtain a basic introduction to performance-based structural engineering and the concept and practical application of resilience in design practice.
Prof. Caroline Field MSc, CEng MICE, PE is a Partner at PA Consulting and leads their resilience business. Caroline has a background in asset and infrastructure resilience with over 26 years of professional experience including 12 years in counter terrorism, blast mitigation and physical security and 7 years in earthquake engineering and dynamics. She has spent the past 10 years combining this expertise with the social and people aspects of resilience.
Dr Alessandro Palmeri is a Reader in Structural Engineering & Dynamics and the Leader of the Structures & Materials Group within the School of Architecture, Building & Civil Engineering at Loughborough University. His research focuses on applications of structural dynamics, including bridge, earthquake and wind engineering, and probabilistic methods, including reliability and performance-based design.
Email - [email protected]
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