Professor
Peter StaffordProfile page
Professor of Engineering Seismology
Department of Civil and Environmental Engineering - Faculty of Engineering
Orcid identifier0000-0003-0988-8934
- Professor of Engineering SeismologyDepartment of Civil and Environmental Engineering - Faculty of Engineering
- 020 7594 7916 (Work)
- 321, Skempton Building, South Kensington Campus, United Kingdom
RESEARCH
Overview
Development of Empirical Ground-Motion Models
Development of empirical models for measure of earthquake-induced ground-shaking using physically based functional forms and modern regression and optimization procedures. Research to date has focused upon the development of models for the following ground-motion measures:
Fourier amplitude spectrum
Arias intensity
Pseudo-spectral acceleration
Strong-motion Duration (Significant, Bracketed and Uniform)
Response spectral ordinates for damping ratios other than 5% of critical
Probabilistic Seismic Hazard Analysis (PSHA)
Application and development of state-of-the-art procedures for conducting probabilistic seismic hazard analyses. Current interest in implementing Vector-valued PSHA for combinations of ground-motion measures.
Scaling & Matching of Earthquake Accelerograms
Development of methods for selecting, scaling, modifying and matching natural earthquake accelerograms for input into structural time-domain analyses. Current work is focussed upon the characterisation of the distribution of inelastic response due to accelerograms selected on the basis of various scaling and matching criteria.
Earthquake Loss Estimation
Development of methodologies for regional earthquake loss estimation. In particular, refining current approaches to portfolio risk assessment.
Stochastic Modelling of Seismic Response
This work is concerned with the stochastic characterisation of earthquake strong-ground motion for use within probabilistic methods for estimating structural response. Stochastic characterisations of earthquake ground-motion offer many statistical benefits over their natural counterparts but are often viewed with a significant degree of skepticism. This skepticism arises largely from the inability of current stochastic approaches for generating artificial accelerograms to fully capture the true nature of earthquake ground-motion. The research underway on this issue aims to refine existing approaches for the stochastic characterisation of earthquake excitation.
Development of Empirical Ground-Motion Models
Development of empirical models for measure of earthquake-induced ground-shaking using physically based functional forms and modern regression and optimization procedures. Research to date has focused upon the development of models for the following ground-motion measures:
Fourier amplitude spectrum
Arias intensity
Pseudo-spectral acceleration
Strong-motion Duration (Significant, Bracketed and Uniform)
Response spectral ordinates for damping ratios other than 5% of critical
Probabilistic Seismic Hazard Analysis (PSHA)
Application and development of state-of-the-art procedures for conducting probabilistic seismic hazard analyses. Current interest in implementing Vector-valued PSHA for combinations of ground-motion measures.
Scaling & Matching of Earthquake Accelerograms
Development of methods for selecting, scaling, modifying and matching natural earthquake accelerograms for input into structural time-domain analyses. Current work is focussed upon the characterisation of the distribution of inelastic response due to accelerograms selected on the basis of various scaling and matching criteria.
Earthquake Loss Estimation
Development of methodologies for regional earthquake loss estimation. In particular, refining current approaches to portfolio risk assessment.
Stochastic Modelling of Seismic Response
This work is concerned with the stochastic characterisation of earthquake strong-ground motion for use within probabilistic methods for estimating structural response. Stochastic characterisations of earthquake ground-motion offer many statistical benefits over their natural counterparts but are often viewed with a significant degree of skepticism. This skepticism arises largely from the inability of current stochastic approaches for generating artificial accelerograms to fully capture the true nature of earthquake ground-motion. The research underway on this issue aims to refine existing approaches for the stochastic characterisation of earthquake excitation.