OPENSIGNAL-software for ground motion selection and processing
Select real ground motion records using the most popular selection methods available in literature (specturm compatibility, waveform matching etc.)
Signal processing of earthquake records
Build the Conditional Mean Spectrum in the Italian territory
Site response analysis
OPENSIGNAL is the only software that is able to build the Conditional Mean spectrum in Italy. It is a simple package for selecting and processing earthquake records. It has a user friendly visual interface and it is capable of deriving a number of strong-motion parameters often required by engineer seismologists and earthquake engineers. The program is able to select and read real ground motion records downloaded by most popular strong-motion databases (e.g. PEER, ESMD, ITACA, Chile, etc.) ), and allow the filtering of unwanted frequency content of the signal carrying out highpass, lowpass, bandpass and bandstop filtering, before the time-integration of the signal (to obtain velocity and displacement time-histories). Spectrum compatible acceletrograms can be selected using different response spectrum including the conditional Mean Spectrum. Artificial acceletrograms can also be created using the most popular methods available in literature.
Site response analysis module is also available inside the software. Finally, and due to its full integration with the Windows environment, the signals can be exported in MS Excel format, txt, etc.
EDAM-Earthquake Damage assessmente manager
The easiest and fastest way to manage earthquakes damage assessments, for residents and professional users. One common scenario during disasters is that the activity of rescue and relief is not well-coordinated. Specialists and technicians from various regions perform the earthquake damage assessment of residential buildings or shed right after the earthquake using printed forms to collect field data from the visual inspections, but a critical component of any successful rescue operation is time. Immediate knowledge of the precise location of landmarks, streets, buildings, emergency service resources, and disaster relief sites saves time – and saves lives. Such information is critical to disaster relief teams and public safety personnel to protect life and reduce property loss. Therefore, there is a need for a system that will improve the efficient resources allocation of rescue and relief in the disaster-affected areas “Mobile devices” and “Resilience” are two terms that nowadays regularly appear in the emergency management field. This app is the solution for these needs. Residents could report incidents and receive emergency information that would facilitate coordinated responses with emergency services. They could employ mobile devices like smartphones to provide information, GIS coordinates and pictures. Multiple platforms (mobile devices, Internet) and content types (text, pics, video) ensure that community response grids will function with surviving infrastructure during and after an emergency, while supporting two-way communications among residents and responders. Professional emergency responders could be collecting information, residents could be reporting and receiving information via website, and communities could be sharing information simultaneously to respond to a crisis of any magnitude. Professional staff could separate out suspicious or low priority reports, assigning appropriate resources to the major problems and then automatically fill any form they need, like AeDES form. In this way it’s possible to collect all the informations quickly and automatically, with an easy mechanism for sending them. This application is currently available for residents with the User residents mode, and for professional emergency responders with the other modes.
ParkAdvisor is a smart parking system developed by civil and computational engineers of the Polytechnic University of Turin in collaboration with the Pacific Earthquake Engineering Research Center (PEER), a department of the UC Berkeley directed by the professor Stephen A. Mahin. The app will guide the driver to an empty parking spot near to his destination, to solve the problem of more than 30% of people driving in urban roads constantly looking for parking. This urban inefficiency means a proportional increment of traffic jams and air pollution and consequent reduction of air quality. The reduction of the wasted time in which engines are running (when drivers are looking for parking) is one of the possible solutions to these problems.