Personne
Sai Ganesh Sarvotham Pai
Cette personne n’est plus à l’EPFL
Publications associées (18)
A methodology to design measurement systems when multiple model classes are plausible
Ian Smith, Numa Joy Bertola, Sai Ganesh Sarvotham Pai
The management of existing civil infrastructure is challenging due to evolving functional requirements, aging and climate change. Civil infrastructure often has hidden reserve capacity because of conservative approaches used in design and during constructi ...
2021Using footstep-induced vibrations for occupant detection and recognition in buildings
Ian Smith, Yves Sylvain Gilles Reuland, Sai Ganesh Sarvotham Pai, Slah Drira
Occupant detection and recognition support functional goals such as security, healthcare, and energy management in buildings. Typical sensing approaches, such as smartphones and cameras, undermine the privacy of building occupants and inherently affect the ...
2021Model-Based Interpretation of Measurements for Fatigue Evaluation of Existing Reinforced Concrete Bridges
Ian Smith, Eugen Brühwiler, Sai Ganesh Sarvotham Pai, Imane Bayane
New methods are required for sustainable and economical management of bridges. Efficient management can be achieved by a detailed understanding of bridge behavior through monitoring and model-based data interpretation. This paper presents a methodology to ...
2021Validating model-based data interpretation methods for quantification of reserve capacity
Ian Smith, Sai Ganesh Sarvotham Pai
Optimal performance of civil infrastructure is an important aspect of liveable cities. A judicious combination of physics-based models with monitoring data in a validated methodology that accounts for uncertainties is explored in this paper. This methodolo ...
2021Model-Class Selection Using Clustering and Classification for Structural Identification and Prediction
Ian Smith, Sai Ganesh Sarvotham Pai, Masoud Sanayei
Structural identification using physics-based models and subsequent prediction have much potential to enhance civil infrastructure asset-management decision-making. Interpreting monitoring information in the presence of multiple uncertainty sources and sys ...
2020Occupant- detection strategy using footstep-induced floor vibrations
Ian Smith, Yves Sylvain Gilles Reuland, Sai Ganesh Sarvotham Pai, Slah Drira
Identification of occupant presence and location inside buildings is essential to functional goals such as security, healthcare, and energy management. Floor-vibration measurements, induced by footstep impacts, provide a non-intrusive sensing method for oc ...
ACM2019Occupant-detection strategy using footstep-induced floor vibrations
Ian Smith, Yves Sylvain Gilles Reuland, Sai Ganesh Sarvotham Pai, Slah Drira
Identification of occupant presence and location inside buildings is essential to functional goals such as security, healthcare, and energy management. Floor-vibration measurements, induced by footstep impacts, provide a non-intrusive sensing method for oc ...
ASSOC COMPUTING MACHINERY2019Model-Based Occupant Tracking Using Slab-Vibration Measurements
Ian Smith, Yves Sylvain Gilles Reuland, Sai Ganesh Sarvotham Pai, Slah Drira
Sensor-based occupant tracking has the potential to enhance knowledge of the utilization of buildings. Occupancy-tracking strategies using footstep-induced floor vibrations may be beneficial for thermal-load prediction, security enhancement, and care-givin ...
2019Is there a relationship between footstep-impact locations and measured signal characteristics?
Ian Smith, Yves Sylvain Gilles Reuland, Sai Ganesh Sarvotham Pai, Slah Drira
Building utilization can be enhanced by tracking occupants. Non-intrusive tracking of occupants using floor-vibration measurements is beneficial for many smart-building applications such as energy consumption, security enhancement, and care-giving. Also, u ...
ACM2019Data-Interpretation Methodologies for Practical Asset-Management
Ian Smith, Yves Sylvain Gilles Reuland, Sai Ganesh Sarvotham Pai
Monitoring and interpreting structural response using structural-identification methodologies improves understanding of civil-infrastructure behavior. New sensing devices and inexpensive computation has made model-based data interpretation feasible in engi ...
2019