Publications de James-Alexandre Goulet

Measurement system design for civil infrastructure using expected utility

Ian Smith, James-Alexandre Goulet, Romain Pasquier

For system identification, most sensor-placement strategies are based on the minimization of the model-parameter uncertainty. However, reducing the uncertainty in remaining-life prognosis of structures is often more relevant. This paper proposes an optimiz ...

Elsevier2017

Measurement, Data Interpretation, and Uncertainty Propagation for Fatigue Assessments of Structures

Ian Smith, Alain Nussbaumer, James-Alexandre Goulet, Romain Pasquier, Claire Acevedo, Luca D'Angelo

Real behavior of existing structures is usually associated with large uncertainty that is often covered by the use of conservative models and code practices for the evaluation of remaining fatigue lives. In order to make better decisions related to retrofi ...

American Society of Civil Engineers2016

Improving Fatigue Evaluations of Structures Using In-Service Behavior Measurement Data

Ian Smith, James-Alexandre Goulet, Romain Pasquier, Claire Acevedo

Conservative models and code practices are usually employed for fatigue-damage predictions of existing structures. Direct in-service behavior measurements are able to provide more accurate estimations of remaining-fatigue-life predictions. However, these e ...

American Society of Civil Engineers2014

Quantifying the Effects of Modeling Simplifications for Structural Identification of Bridges

Ian Smith, Clotaire Michel, James-Alexandre Goulet, Marie Texier

Several long-span, prestressed, segmental box girder bridges were built in the early 1980s and many of them are affected by long-term residual deformations. Although some models have been proposed to describe their structural behavior, several uncertaintie ...

American Society of Civil Engineers2014

Hybrid probabilities and error-domain structural identification using ambient vibration monitoring

Ian Smith, Clotaire Michel, James-Alexandre Goulet

For the assessment of structural behaviour, many approaches are available to compare model predictions with measurements. However, few approaches include uncertainties along with dependencies associated with models and observations. In this paper, an error ...

Elsevier2013

Performance-Driven Measurement System Design for Structural Identification

Ian Smith, James-Alexandre Goulet

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 ...

American Society of Civil Engineers2013

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

Ian Smith, Sylvain Coutu, James-Alexandre Goulet

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 ...

Elsevier2013

Structural identification with systematic errors and unknown uncertainty dependencies

Ian Smith, James-Alexandre Goulet

When system identification methodologies are used to interpret measurement data taken from structures, uncertainty dependencies are in many cases unknown due to model simplifications and omissions. This paper presents how error-domain model falsification r ...

Elsevier2013

Predicting the Usefulness of Monitoring for Identifying the Behavior of Structures

Ian Smith, James-Alexandre Goulet

Structures can be better understood when measurement data are used to improve the modeling of structural behavior. Our capacity to interpret data depends on aspects such as the choice of model class, model parameters (and their range of possible values), a ...

American Society of Civil Engineers2013

Model-Based Data Interpretation and Diagnosis Robustness

Ian Smith, James-Alexandre Goulet, Romain Pasquier

Model-based data-interpretation techniques are widely used to identify the behavior of structures. These techniques exploit information provided by in-situ measurements to make diagnosis related to structural performance. In the context of model-based infr ...

Taylor & Francis Group2013