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SEO-friendly alternative text: S2-SHM software box for structural health monitoring, optimizing bridge maintenance with advanced data analysis capabilities.
User-friendly interface of S2-SHM software showing structural monitoring data for bridge inspection and maintenance optimization.
Advanced S2-SHM software interface displaying real-time structural health data analysis and monitoring for bridge inspection and maintenance.
S2-SHM software interface showcasing bridge monitoring tools, enabling easy data analysis and structural health assessment for enhanced safety.

S2-SHM

Original price was: 55,00 €.Current price is: 40,00 €.

S2-SHM is the software specifically developed for continuous and fully automated monitoring of relevant physical and mechanical parameters and, in particular, of the modal properties of structures.

S2-SHM is based on a proprietary algorithm of automated Operational Modal Analysis and state-of-the-art data processing procedures of statistical pattern recognition and anomaly detection validated in the context of academic research. The proprietary algorithm is able to automatically process structural vibration measurements yielding the time series of the dynamic properties of the monitored structure (natural frequencies, damping ratios, mode shapes) useful to assess its health state.

The software is powerful and versatile, and already fulfilling the requrirement of the most recent Italian codes in the field of Structural Health Monitoring.

 

 

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User-friendly interface of S2-SHM software showing structural monitoring data for bridge inspection and maintenance optimization.Advanced S2-SHM software interface displaying real-time structural health data analysis and monitoring for bridge inspection and maintenance.

 

 

Which problem does it solve? S2-SHM is a complete software for data-driven Structural Health Monitoring. You will learn from data if your structure is still in a healthy state or it is undergoing damage or degration phenomena. And if you are interested in monitoring the tensile load in cables and/or tie-rods, S2-SHM also has a specific data processing module that fits your needs, letting you to monitor the axial load by means of simple and non-invasive vibration measurements. Last but not the least, if your SHM system includes dynamic as well as static measurements, you can manage both data type with the same software, getting the most from the collected data.

Which needs does it fit? S2-SHM is the solution you were looking for to automatically process the large amount of data collected by continuous, vibration-based SHM systems, thanks to its robust engine for automatic modal parameter estimation and the advanced novelty detection procedures based on statistical pattern recognition.

What makes our software stand out from the competition? S2-SHM is one of the few commercial software offering an effective procedure for automated OMA, validated in the context of academic research, and state-of-the-art tools for compensation of the influence of environmental and/or operational effects and for anomaly dection; in addition, the software holds procedures for tensile load monitoring in cables and tie-rods, and it it able to alert remote users in case of detected anomalies. As a result, S2-SHM is a leading software for an effective and complete data-driven Structural Health Monitoring.

Other strenghts: Validated in the context of academic research, S2-SHM has been already adopted  by several Italian Universities and Research Centres / validato in ambito accademico (lo hanno già scelto: Università degli Studi di Napoli «Federico II», Università degli Studi del Molise, CNR,…); morevoer, the software is already compliant with the Italian DM 204/2022 and the IOMAC Guidelines for OMA in civil engineering.

 

RECENT PUBLICATIONS ON OUR SOFTWARE SOLUTIONS.
  • Sun Q.. Rainieri C.. Ren W.X.. Yan W.J.. Fabbrocino G. (2023). Automated operational modal analysis of bell towers subjected to narrowband input. Structures. Vol. 54, pp. 78-88.
  • Celano T.. Ceroni F.. Fabbrocino G.. Rainieri C.. Casapulla C. (2022). Thermographic investigations and dynamic identification tests for non-destructive structural assessment and enhanced FE modelling of a historical iron-strengthened masonry church. Journal of Civil Structural Health Monitoring.
  • Lubrano Lobianco A.. Del Zoppo M.. Rainieri C.. Fabbrocino G.. Di Ludovico M. (2023). Damage Estimation of Full-Scale Infilled RC Frames under Pseudo-Dynamic Excitation by Means of Output-Only Modal Identification. Buildings 2023. 13. 948.
  • Notarangelo M.A.. Gargaro D.. Sandoli A.. Fabbrocino G.. Prota A.. Cosenza E.. Manfredi G.. Rainieri C. (2023). Monitoring the vibration response of the School of Engineering Main Building at University of Naples “Federico II” to an “earthquake of joy. Proceedings of The 10th International Conference on Experimental Vibration Analysis for Civil Engineering Structures EVACES 2023. Milan. Italy.

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