Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.825501
Title: Advancing ground-motion modelling methodologies for improved seismic hazard assessment
Author: Huang, Chen
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2021
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Abstract:
This dissertation attempts to advance empirical ground-motion modelling methodologies by considering spatial and cross-intensity measure (IM) correlation properties. Despite the recent advancements in empirical ground-motion models (GMMs), there are some limitations in the current state-of-practice for their development, including (1) statistically inefficient approaches for estimating the model parameters; and (2) the ad hoc consideration of spatial correlation properties rather than an integrated procedure within the model development process. This dissertation addresses these two issues through the statistical proof and numerical implementation of a one-stage estimation algorithm to establish GMMs, considering the spatial correlation component in an explicit and integrated fashion. The proposed algorithm is numerically efficient in estimating model parameters and is extendable to address anisotropy and nonstationary spatial correlation properties. Utilising the proposed algorithm, this dissertation proposes new GMMs with spatial correlation for IMs representing the amplitude, cumulative measures, energy content, and inelastic spectral displacement. The focus is on Italian strong-motion records. The cross-IM correlation models between the considered IMs are also established. The developed GMMs and the obtained correlation properties are scrutinised and compared with the available models in the literature. The differences in terms of model development methodologies and the underlying datasets, which collectively affect the results obtained from the developed GMMs, are critically discussed. Different application cases are finally presented demonstrating the values of the developed methodology and the resulting GMMs for providing accurate ground motion estimates for the purpose of seismic hazard analysis.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.825501  DOI: Not available
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