@article {bnh-7137, title = {An Adaptive Ground Motion Prediction Equation for Use in Low-to-Moderate Seismicity Regions}, journal = {Journal of Earthquake Engineering}, year = {2020}, month = {07/2020}, pages = {1-23}, abstract = {

In regions of low-to-moderate seismicity where representative strong motion data is lacking, the modelling of seismic hazard relies on the use of seismological models. This paper presents a set of expressions that can be used as ground motion prediction equations that have been transformed from seismological models which resolve the generation of seismic waves into several components. The feature of this presented set of expressions is that it can be adapted to represent earthquake ground motion behaviour that is defined by a diversity of seismological models. The motivation behind the development of the presented adaptive predictive relationship which is known as the\ Component Attenuation Model\ (CAM) was to fast track, and make transparent, the transformation from seismological models to predictions of response spectral values for engineering applications. Thus,\ CAM\ can be used to waive away the need of executing any software for undertaking stochastic simulations nor time-history analyses for calculation of the response spectral ordinates. An important and original, the feature of\ CAM\ is incorporating the shear wave velocity profile of the bedrock and the associated upper-crustal modification into the model. This article presenting\ CAM\ is essentially a contribution to engineering as opposed to seismology. The potential benefits derived from the fast-tracking can be considerable given that the transformation is seldom a one-off process and would need to be repeated for any given targeted area, in view of uncertainties surrounding seismological conditions of the earth crust around the globe.

}, keywords = {attenuation parameter, Component attenuation model, ground motion prediction equations, upper-crustal modification}, doi = {https://doi.org/10.1080/13632469.2020.1784810}, url = {https://www.tandfonline.com/doi/abs/10.1080/13632469.2020.1784810}, author = {Yuxiang Tang and Nelson Lam and Hing-Ho Tsang and Elisa Lumantarna} } @article {bnh-7574, title = {A Computational Tool for Ground-Motion Simulations Incorporating Regional Crustal Conditions}, journal = {Seismological Research Letters}, year = {2020}, month = {11/2020}, abstract = {

This article introduces a computational tool, namely ground-motion simulation system (GMSS), for generating synthetic accelerograms based on stochastic simulations. The distinctive feature of GMSS is that it has two independently developed upper-crustal models (expressed in the form of shear-wave velocity profiles), which have been built into the program for deriving the frequency-dependent crustal factors, and one of these models was originally developed by the authors. GMSS also has provisions to allow the user to specify their own preferred crustal profile. Sufficient details of both crustal models (forming part of the seismological model) and the accelerogram simulation methodology are presented herein in one article, to allow any person who has programming skills (on a user-friendly platform such as MATLAB, see\ Data and Resources), to develop their computational tools to implement any further innovations in crustal modeling for direct engineering applications. Crustal properties deep into bedrock can only be accounted for implicitly by conventional ground-motion prediction equation (GMPE) as much depends on the region where the ground motion was recorded. This limitation of existing GMPEs poses a challenge to engineering in regions that are not well represented by any strong-motion database. Toward the end of this article, readers are enlightened with the potential transdisciplinary utility of using GMSS, to facilitate the retrieval and scaling of accelerograms sourced from a database of real earthquake records through the construction of a conditional mean spectrum.

}, keywords = {Computational tool, modelling, seismic}, doi = {https://doi.org/10.1785/0220200222}, url = {https://pubs.geoscienceworld.org/ssa/srl/article-abstract/doi/10.1785/0220200222/592863/A-Computational-Tool-for-Ground-Motion-Simulations?redirectedFrom=fulltext}, author = {Yuxiang Tang and Nelson Lam and Hing-Ho Tsang} } @article {bnh-6137, title = {Use of Macroseismic Intensity Data to Validate a Regionally Adjustable Ground Motion Prediction Model}, journal = {Geosciences }, volume = {9}, year = {2019}, month = {09/2019}, chapter = {422}, abstract = {

In low-to-moderate seismicity (intraplate) regions where locally recorded strong motion data are too scare for conventional regression analysis, stochastic simulations based on seismological modelling have often been used to predict ground motions of future earthquakes. This modelling methodology has been practised in Central and Eastern North America (CENA) for decades. It is cautioned that ground motion prediction equations (GMPE) that have been developed for use in CENA might not always be suited for use in another intraplate region because of differences in the crustal structure. This paper introduces a regionally adjustable GMPE, known as the component attenuation model (CAM), by which a diversity of crustal conditions can be covered in one model. Input parameters into CAM have been configured in the same manner as a seismological model, as both types of models are based on decoupling the spectral properties of earthquake ground motions into a generic source factor and a regionally specific path factor (including anelastic and geometric attenuation factors) along with a crustal factor. Unlike seismological modelling, CAM is essentially a GMPE that can be adapted readily for use in different regions (or different areas within a region) without the need of undertaking any stochastic simulations, providing that parameters characterising the crustal structure have been identified. In addressing the challenge of validating a GMPE for use in an area where instrumental data are scarce, modified Mercalli intensity (MMI) data inferred from peak ground velocity values predicted by CAM are compared with records of MMI of past earthquake events, as reported in historical archives. South-Eastern Australia (SEA) and South-Eastern China (SEC) are the two study regions used in this article for demonstrating the viability of CAM as a ground motion prediction tool in an intraplate environment.

}, keywords = {Attenuation, crustal model, GMPE, intraplate region, MMI, seismic hazard}, doi = {https://doi.org/10.3390/geosciences9100422 }, url = {https://www.mdpi.com/2076-3263/9/10/422}, author = {Yuxiang Tang and Nelson Lam and Hing-Ho Tsang and Elisa Lumantarna} }