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Tensegrity structures are spatial structural systems composed of struts and cables with pin-jointed connections. Their stability is provided by the self-stress state in tensioned and compressed members. Although much progress has been made in advancing res ...

Pressurized pipe networks used for fresh-water distribution can take advantage of recent advances in sensing technologies and data-interpretation to evaluate their performance. In this paper, a leak-detection and a sensor placement methodology are proposed ...

This paper presents a method for measurement-system design through criteria related to model based structural identification. Using a multi-model approach and results from previous research carried out at EPFL, an improved algorithm is proposed. The algori ...

A hard challenge associated with infrastructure monitoring is to extract useful information from large amounts of measurement data in order to detect changes in structures. This paper presents a hybrid model-free approach that combines two model-free metho ...

Recent earthquake events throughout the world have once again exposed the vulnerability of buildings with respect to earthquakes. It is unlikely and unsustainable to design and - especially in regions with low-to-moderate seismic hazard – to retrofit all b ...

Image information about the state of a building after an earthquake, which can be collected without endangering the post-earthquake reconnaissance activities, can be used to reduce uncertainties in response predictions for future seismic events. This paper ...

System identification using multiple-model strategies may involve thousands of models with several parameters. However, only a few models are close to the correct model. A key task involves finding which parameters are important for explaining candidate mo ...

The ageing of existing structures and new innovative designs are increasing the necessity for a greater understanding of structural behaviour. A better understanding would improve effectiveness of activities such as assessing reserve capacity, evaluating load increases and replacement decision making. Identification methodologies are needed to indicate the right behaviour using indirect measurements and behaviour models. This paper proposes a methodology that is able to accommodate multiple explanations whi

Adaptive structures are sensed and actuated to modify internal forces and shape to maintain optimal performance in response to loads. The use of large shape changes as a structural adaptation strategy to counteract the effect of loads has been investigated ...

Structural identification is the activity of determining how a structure is behaving using results from measurements. This paper presents a process model for carrying out structural identification over the life of the structure using results from structural health monitoring. An iterative process of measurement, evaluation, candidate model filtering and determination of subsequent measurement quantities and positions is proposed. More specifically, this process involves model sampling, error estimation and

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 ...

Seismic exposure of buildings presents difficult engineering challenges. The principles of seismic design involve structures that sustain damage and still protect inhabitants. Precise and accurate knowledge of the residual capacity of damaged structures is ...

This paper presents results from static loads tests performed on the new Langensand Bridge built in Switzerland. A systematic study of over 1000 models subjected to three load cases identifies a set of 11 candidate models through static measurements. Predi ...

This paper presents a methodology for comparing the performance of model-reduction strategies to be used with a diagnostic methodology for leak detection in water distribution networks. The goal is to find reduction strategies that are suitable for error-d ...

Information regarding occupant flows inside buildings is beneficial for applications such as thermal-load control, market research and security enhancement. Existing methodologies for occupant tracking involve data-driven techniques that rely either on rad ...

Much progress has been achieved in the research field of structural identification, which is attributable to a better understanding of uncertainties, improvement in sensor technologies, and cost reductions. However, data interpretation remains a bottleneck ...

Measurement system configuration is an important task in structural health monitoring in that decisions influence the performance of monitoring systems. This task is generally performed using only engineering judgment and experience. Such approach may resu ...

Interpreting measurement data from continuous monitoring of civil structures for structural health monitoring (SHM) is a challenging task. This task is even more difficult when measurement data are influenced by environmental variations, such as temperatur ...

In this paper, the impact of several sources of uncertainty on the seismic response of an experimentally tested building is assessed for the case of a post-earthquake scenario. The building comprises unreinforced masonry and reinforced concrete walls. It i ...

Most deployable structures, such as operable roofs and masts, move over one degree of freedom. This paper describes a structure that involves loosely coupled movement over several degrees of freedom. Analysis models of these structures are typically inaccu ...

Ian Smith

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Design optimization and dynamic analysis of a tensegrity-based footbridge

Model falsification diagnosis and sensor placement for leak detection in pressurized pipe networks

Estimation of modelling errors in structural system identification

A Hybrid Model-Free Data-Interpretation Approach For Damage Detection During Continuous Civil-Infrastructure Monitoring

A model-based data-interpretation framework for post-earthquake building assessment with scarce measurement data

Reducing uncertainties in response predictions of earthquake-damaged masonry buildings using data from image-based inspection

Feature Selection using Stochastic Search: An Application to System Identification

CMS4SI Structural Identification Approach for Interpreting Measurements

Actuator Layout Optimization for Adaptive Structures Performing Large Shape Changes, Advanced Computing Strategies for Engineering

A process model for structural identification

Is there a relationship between footstep-impact locations and measured signal characteristics?

Data-Interpretation methodologies for Non-Linear Earthquake Response Predictions of Damaged Structures

Structural identification to improve bridge management

Performance comparison of reduced models for leak detection in water distribution networks

Model-based interpretation of floor vibrations for indoor occupant tracking

Performance-Driven Measurement System Design for Structural Identification

Measurement System Configuration for Damage Identification of Continuously Monitored Structures

Performance of two model-free data interpretation methods for continuous monitoring of structures under environmental variations

The impact of uncertainties on post-earthquake response predictions of a building with unreinforced masonry walls

Joint Friction during Deployment of a Near-Full-Scale Tensegrity Footbridge