## 1 Introduction  
The seismic risk assessment of existing buildings is a very important issue, particularly when managing the seismic safety of a school campus. It is well known that schools are places normally with many children taking classes in several different buildings that compose a campus, which may present many different structural systems and construction ages. So, the context of seismic risk assessment of individual school building is especially important due to the high concentration of young people normally found in such facilities. The collapse of a school building during the 2002 Molise Earthquake (Italy), killing many students and a teacher [1], where the site effects also seem to have played an important role in the damage [2], is a good example of the importance of an accurate seismic risk assessment of existing school buildings in order to identify the most problematic cases, namely for retrofitting purposes. More recently, many Italian school buildings were also damaged after the 2016 Central Italy earthquake sequence [3], highlighting this issue. In this context, it is important to develop seismic assessment methods to carry out these types of studies at a large scale, while considering the specific characteristics of each building, and trying to increase the precision of results. Because of this issue's importance, the PERSISTAH project aims to assess the seismic risk of primary school buildings in the Algarve (Portugal) and Huelva (Spain) regions [4] by developing a dedicated software for its purpose. Presently, there are many proposals for carrying out the seismic assessment of individual school buildings. Many recent studies dealing with school buildings have adopted nonlinear structural analysis methods. In some of those studies, authors have adopted nonlinear dynamic analysis (NDA) [5; 6], which is probably the most accurate approach, namely the incremental dynamic analysis (INDA) [7; 8]. However, this requires much computer effort. Nonlinear static analysis (NSA) is a very popular method of analysis, and is a more simplified and fast approach that has also been used to assess school buildings [9; 10; 11; 12]. The results obtained with these two approaches are different [7], so the option of selecting one of these two nonlinear analysis methods must be carefully evaluated regarding the precision of the results and the speed of the process. The first NSA was proposed in the 1970s as a fast way of carrying out seismic vulnerability assessments, but the capacity spectrum method (CSM) designation was only introduced during the 1990s [13]. CSM is an NSA approach used worldwide and was adopted by the ATC-40 [14], it being the nonlinear inelastic behaviour of a structural system obtained by applying effective viscous damping values to the linear elastic response spectrum. Another NSA approach is the N2 method, with the first formulation developed in the late 1980s, and later reformulated at the end of the 1990s [15]. In this method, inelastic spectra are used [16] instead of the approach presented in the CSM. The N2 is the NSA approach that is presented in the Eurocode 8 (EC8) [17]. According to these approaches, the structural performance point (the target displacement) is the interception between the structural capacity and the seismic demand. The development of software for the seismic risk assessment is an important but complex task. At the present time, there are many modern seismic risk assessment tools developed by different research teams around the world [18; 19; 20; 21] that have been used for many purposes; in particular, some of them are being used in the context of civil protection mechanisms. These tools normally present different modules related to the seismic risk definition (Figure 1); in particular, they might have a hazard analysis module, a vulnerability assessment module, a database module (exposure) and an output module where results can be exported to a GIS software (loss maps). In Table 1, several seismic risk assessment (SRA) tools developed worldwide are listed.