A5034144060- Structural Health Monitoring Techniques
- Seismic Performance and Analysis
- Infrastructure Maintenance and Monitoring
- Concrete Corrosion and Durability
- Masonry and Concrete Structural Analysis
- Wind and Air Flow Studies
- Structural Engineering and Vibration Analysis
- earthquake and tectonic studies
- Probabilistic and Robust Engineering Design
- Gait Recognition and Analysis
- 3D Surveying and Cultural Heritage
- Seismology and Earthquake Studies
- Indoor and Outdoor Localization Technologies
- Infrastructure Resilience and Vulnerability Analysis
- Innovation Policy and R&D
- Fault Detection and Control Systems
- Anomaly Detection Techniques and Applications
- Seismic Waves and Analysis
- Ultrasonics and Acoustic Wave Propagation
- Simulation Techniques and Applications
- Astronomical Observations and Instrumentation
- Distributed and Parallel Computing Systems
- BIM and Construction Integration
- Structural Response to Dynamic Loads
- Disaster Management and Resilience
ETH Zurich
2020-2024
École Polytechnique Fédérale de Lausanne
2015-2019
Structural Health Monitoring (SHM) enables the rapid assessment of structural integrity in immediate aftermath strong ground motions. Data-driven techniques, often relying on damage-sensitive features (DSFs) derived from vibration monitoring, may be deployed to attribute a specific damage class structure. In practical applications, individual are sensitive levels damage, and therefore combining multiple DSFs is required formulate robust indicators. However, combination typically involves...
Rapid post-earthquake damage assessment forms a critical element of resilience, ensuring prompt and functional recovery the built environment. Monitoring-based approaches have potential to significantly improve upon current visual inspection-based condition that is slow potentially subjective. The large variety sensing solutions has become available at affordable cost in recent years allows engineering community envision permanent-monitoring applications even conventional low-to-mid-rise...
The widespread earthquake damage to the built environment induces severe short- and long-term societal consequences. Better community resilience may be achieved through well-organized recovery. Decisions organize recovery process are taken under intense time pressure using limited, potentially inaccurate, data on severity spatial distribution of building damage. We propose use Gaussian Process inference models fuse available inspection with a pre-existing risk model dynamically update...
Abstract A significant part of the existing building stock in regions low to moderate seismic hazard has been designed without modern considerations and is, meantime, exceeding its design life span. The assessment performance poses an engineering challenge, due unknown material properties, undocumented structural interventions scarcity event-based information. Operational modal analysis applied some cases verify model assumptions beyond visual inspection. However, masonry buildings exhibit...
Abstract. Scientists from different disciplines at ETH Zurich are developing a dynamic, harmonised, and user-centred earthquake risk framework for Switzerland, relying on continuously evolving catalogue generated by the Swiss Seismological Service (SED) using national seismic networks. This uses all available information to assess various stages facilitates widespread dissemination communication of resulting information. Earthquake products services include operational (loss) forecasting...
Seismic exposure of buildings presents difficult engineering challenges. The principles seismic design involve structures that sustain damage and still protect inhabitants. Precise accurate knowledge the residual capacity damaged is essential for informed decision-making regarding clearance occupancy after major events. Unless are permanently monitored, modal properties derived from ambient vibrations most likely only source measurement data available. However, such linearly elastic limited...
Sensor-based occupant tracking has the potential to enhance knowledge of utilization buildings. Occupancy-tracking strategies using footstep-induced floor vibrations may be beneficial for thermal-load prediction, security enhancement and care-giving without undermining privacy. Current floor-vibration-based occupant-tracking methodologies are based on data-driven techniques that do not include a physics-based model structural behavior slab. These suffer from ambiguous interpretations when...
After a damaging earthquake, assessment of the residual seismic capacity is required for large parts building stock. Increased vulnerability structures together with threat immediate aftershocks call rapid and objective decision making. Structural identification has potential to reduce parameter-value uncertainties physics-based models through interpreting measurement data. Significant amounts uncertainty are associated non-linear behaviour during extreme events such as earthquakes....
Assessing seismic vulnerability at large scales requires accurate attribution of individual buildings to more general typological classes that are representative the behavior sharing same attributes. One-by-one evaluation all is a time-and-money demanding process. Detailed evaluations only suitable for strategic buildings, such as hospitals and other with central role in emergency post-earthquake phase. For simplified approaches needed. The definition taxonomy contains most widespread well...
Occupant detection and recognition support functional goals such as security, healthcare, energy management in buildings. Typical sensing approaches, smartphones cameras, undermine the privacy of building occupants inherently affect their behavior. To overcome these drawbacks, a non-intrusive technique using floor-vibration measurements, induced by human footsteps, is outlined. Detection human-footstep impacts an essential step to estimate number occupants, recognize identities provide...
Managing existing civil infrastructure is challenging due to evolving functional requirements, material aging, and climate change. With increasingly limited economic, environmental, resources, more sustainable solutions for practical asset management are required. Significant efforts have been made monitor infrastructure, such as bridges. In-situ measurements collected with the aim of improving accuracy structural capacity evaluations. Monitoring data through bridge load testing, continuous...
Identification of occupant presence and location inside buildings is essential to functional goals such as security, healthcare, energy management. Floor-vibration measurements, induced by footstep impacts, provide a non-intrusive sensing method for identification, unlike cameras smartphones. Detecting the an necessary first step identification. A challenge detection ambient noise that may hide footstep-induced floor-vibration signatures. Also, spurious events door closing, chair dragging...
Monitoring and interpreting structural response using structural-identification methodologies improves understanding of civil-infrastructure behavior. New sensing devices inexpensive computation has made model-based data interpretation feasible in engineering practice. Many data-interpretation methodologies, such as Bayesian model updating residual minimization, involve strong assumptions regarding uncertainty conditions. While much research been conducted on the scientific development these...
Building utilization can be enhanced by tracking occupants. Non-intrusive of occupants using floor-vibration measurements is beneficial for many smart-building applications such as energy consumption, security enhancement, and care-giving. Also, unlike cameras, vibration do not undermine privacy. Current methodologies interpreting floor vibrations are often data-driven thus, account the varying stiffness due to structural elements beams, columns walls. In this paper, characteristics...
Precise knowledge of dynamic characteristics and data-driven inference material properties existing buildings are key for assessing their seismic capacity. While measurements on typically extracted under ambient conditions, masonry, in particular, exhibits nonlinear behavior at already very low shaking amplitudes. This implies that properties, inferred via model updating may be inappropriate predicting actions. In addition, the relative amount nonlinearity arising from structural...