SiSeRHMap v1.0: a simulator for mapped seismic response using a hybrid model

Abstract

Abstract. The SiSeRHMap (simulator for mapped seismic response using a hybrid model) is a computerized methodology capable of elaborating prediction maps of seismic response in terms of acceleration spectra. It was realized on the basis of a hybrid model which combines different approaches and models in a new and non-conventional way. These approaches and models are organized in a code architecture composed of five interdependent modules. A GIS (geographic information system) cubic model (GCM), which is a layered computational structure based on the concept of lithodynamic units and zones, aims at reproducing a parameterized layered subsoil model. A meta-modelling process confers a hybrid nature to the methodology. In this process, the one-dimensional (1-D) linear equivalent analysis produces acceleration response spectra for a specified number of site profiles using one or more input motions. The shear wave velocity–thickness profiles, defined as trainers, are randomly selected in each zone. Subsequently, a numerical adaptive simulation model (Emul-spectra) is optimized on the above trainer acceleration response spectra by means of a dedicated evolutionary algorithm (EA) and the Levenberg–Marquardt algorithm (LMA) as the final optimizer. In the final step, the GCM maps executor module produces a serial map set of a stratigraphic seismic response at different periods, grid solving the calibrated Emul-spectra model. In addition, the spectra topographic amplification is also computed by means of a 3-D validated numerical prediction model. This model is built to match the results of the numerical simulations related to isolate reliefs using GIS morphometric data. In this way, different sets of seismic response maps are developed on which maps of design acceleration response spectra are also defined by means of an enveloping technique.

Seismic hazard prediction using multispectral amplification maps in a complex topographic area: A case study of Qiaozhuang town, Sichuan Province, Southwest China

“…To obtain the seismic response maps across the study area characterized by uneven terrain and shallow sediment cover, we employed the simulator for mapped seismic response using a hybrid model (SiSeRHMap) developed by Grelle et al (2016). SiSeRHMap is a computer program capable of generating maps of predicted seismic site responses considering stratigraphic and topographic effects.…”

“…The minimum resolutions of the raster input data for the stratigraphic and topographic responses are suggested to be 10 and 30 m, respectively. More details about this methodology are available in Grelle et al (2016. Some key components and required data of this methodology used in this study are described as follows.…”

“…To predict site seismic effects over large areas, simplified GIS software packages have been developed in recent years (Maufroy et al 2012;Rai et al 2016;Grelle et al 2016;Wang et al 2018). For instance, the simulator for mapped seismic response using a hybrid model (SiSeRHMap) is a GIS-based approach developed by Grelle et al (2016) that can compute combined topographic and stratigraphic effects over large areas. SiSeRHMap has been applied to several case studies in different regions, such as the East Mountain and Port au Prince (Haiti) regions (Grelle et al 2018) and the Red Zone sector of Amatrice hill .…”

New approaches to modelling of local seismic amplification susceptibility using direct characteristics of influencing criteria: case study of Bam City, Iran

“…The potential criteria influencing local seismic amplification susceptibility were determined through a critical review of literature. By reviewing documents on earthquake engineering, seismology, geology, tectonic and structural engineering, geomorphology, and seismic microzonation reports and guidelines (Fäh et al, 1997;Ding et al, 2004;Molina et al, 2010;Mundepi et al, 2010;Marulanda et al, 2012;Hassanzadeh et al, 2013;FEMA, 2014;Fraume et al, 2014;Grelle et al, 2014Grelle et al, , 2016SM Working Group, 2015;Rehman et al, 2016;Nwe and Tun, 2016;GEM, 2017;CAPRA, 2017;Michel et al, 2017;Trifunac, 2016;Hassanzadeh and Nedovic-Budic, 2016), in total 14 influencing criteria were identified (Table 1).…”

ER3D: a structural and geophysical 3-D model of central Emilia-Romagna (northern Italy) for numerical simulation of earthquake ground motion

“…Seismic-hazard studies are usually based on the empiricalstatistical method, which makes use of ground motion prediction equations (GMPEs) (e.g., Barani et al, 2017a, b), with possible corrections deduced from local geological conditions (Grelle et al, 2016). However, occasionally the observed ground motion characteristics deviate considerably from the empirical-statistical predictions.…”