Dr. Simon Laflamme Profile

Dr. Simon Laflamme

Professor at Iowa State Univ of Science and Technology

SPIE Involvement:

Conference Program Committee | Author

Publications (43)

Proceedings Article | 9 May 2024 Presentation + Paper

Real-time state estimation using recurrent neural network and topological data analysis

Arman Razmarashooli, Daniel Salazar Martinez, Yang Kang Chua, Simon Laflamme, Chao Hu

Proceedings Volume 12950, 129500C (2024) https://doi.org/10.1117/12.3010900

KEYWORDS: Point clouds, Neural networks, Data analysis, Complex systems, Data modeling, Machine learning, Feature extraction

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Proceedings Article | 9 May 2024 Presentation + Paper

Sensing skin technology for structural health monitoring: from proof-of-concept to field validation

Simon Laflamme, Han Liu

Proceedings Volume 12949, 1294912 (2024) https://doi.org/10.1117/12.3010176

KEYWORDS: Sensors, Skin, Structural health monitoring, Data acquisition, Material fatigue, Bridges, Signal processing, Capacitance, Dielectrics, Capacitors

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Proceedings Article | 9 May 2024 Presentation + Paper

Performance evaluation of flexible capacitive sensors on non-uniform surfaces

Emmanuel Ogunniyi, Han Liu, John White, Austin R. Downey, Simon Laflamme, Jian Li, Caroline Bennett, William Collins, Hongki Jo, Paul Ziehl

Proceedings Volume 12949, 1294916 (2024) https://doi.org/10.1117/12.3010959

KEYWORDS: Sensors, Surface finishing, Signal to noise ratio, Transducers, Capacitors, Structural health monitoring, Structural monitoring, Capacitance

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The use of strain gauges is foundational to structural health monitoring, allowing infrastructure to continuously observe strain, infer stress, and potentially detect fatigue/fracture cracks. However, traditional strain gauges have drawbacks. In addition to being costly, a single-element strain gauge will only detect strain in a single direction and must be mounted on smooth surfaces to ensure good adhesion. Soft Elastomeric Capacitors (SECs) have been proposed as a low-cost alternative to traditional strain gauges while allowing for a broader range of applications. They are flexible and can be modeled with different dimensions based on the monitored structure. Each SEC consists of three layers; the two outer layers act as electrodes and are made of a styrene-ethylene-butylene-styrene polymer in a matrix with carbon black. The inner (dielectric) layer comprises titanium oxide in a matrix with SEBS. The use of the SECs is not limited by the geometry of the surface being monitored, and it can, therefore, be adhered to a variety of surfaces as its flexibility allows it to conform to the irregularity and complexity of the monitored structure. The change experienced by a structure will correlate directly to the change in capacitance observed across the sensor, which can be used to predict the monitored structure’s state. While SECs have been studied for applications on various materials, experiments have been limited to adhering the sensor to smooth surfaces. However, concrete structures have various surface finishes that are not uniform, often deriving from an architect’s aesthetic desire. This work tests a corrugated SEC through compression tests on concrete samples with different surface finishing to investigate the effect of surface finishing on the SEC-measured strain. Each concrete sample is subjected to loading by a dynamic testing system, and the data collected from the SEC are compared to off-the-shelf resistive strain gauges. The results show that the performance of the cSEC on the different surfaces is not hindered by different concrete finishes, where a high signal-to-noise ratio of 21 dB and low mean absolute error of 22 μϵ is seen on the concrete specimen with a rough concrete surface. The strain metrics and surface effect on SEC performance are discussed.

Proceedings Article | 28 April 2023 Presentation + Paper

Hardware implementation of nonstationary structural dynamics forecasting

Puja Chowdhury, Austin R. Downey, Jason Bakos, Simon Laflamme, Chao Hu

Proceedings Volume 12483, 1248316 (2023) https://doi.org/10.1117/12.2658036

KEYWORDS: Field programmable gate arrays, Sampling rates, Vibration, Signal to noise ratio, Structural dynamics, Data acquisition, Windows, Manufacturing, Control systems, Computation time

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High-rate time series forecasting has applications in the domain of high-rate structural health monitoring and control. Hypersonic vehicles and space infrastructure are examples of structural systems that would benefit from time series forecasting on temporal data, including oscillations of control surfaces or structural response to an impact. This paper reports on the development of a software-hardware methodology for the deterministic and low-latency time series forecasting of structural vibrations. The proposed methodology is a software-hardware co-design of a fast Fourier transform (FFT) approach to time series forecasting. The FFT-based technique is implemented in a variable-length sequence configuration. The data is first de-trended, after which the time series data is translated to the frequency domain, and frequency, amplitude, and phase measurements are acquired. Next, a subset of frequency components is collected, translated back to the time domain, recombined, and the data's trend is recovered. Finally, the recombined signals are propagated into the future to the chosen forecasting horizon. The developed methodology achieves fully deterministic timing by being implemented on a Field Programmable Gate Array (FPGA). The developed methodology is experimentally validated on a Kintex-7 70T FPGA using structural vibration data obtained from a test structure with varying levels of nonstationarities. Results demonstrate that the system is capable of forecasting time series data 1 millisecond into the future. Four data acquisition sampling rates from 128 to 25600 S/s are investigated and compared. Results show that for the current hardware (Kintex-7 70T), only data sampled at 512 S/s is viable for real-time time series forecasting with a total system latency of 39.05 μs in restoring signal. In totality, this research showed that for the considered FFT-based time series algorithm the fine-tuning of hyperparameters for a specific sampling rate means that the usefulness of the algorithm is limited to a signal that does not shift considerably from the frequency information of the original signal. FPGA resource utilization, timing constraints of various aspects of the methodology, and the algorithm accuracy and limitations concerning different data are discussed.

Proceedings Article | 18 April 2023 Paper

Soft elastomeric capacitors with an extended polymer matrix for strain sensing on concrete

Emmanuel Ogunniyi, Han Liu, Austin R. Downey, Simon Laflamme, Jian Li, Caroline Bennett, William Collins, Hongki Jo, Paul Ziehl

Proceedings Volume 12486, 1248618 (2023) https://doi.org/10.1117/12.2658568

KEYWORDS: Capacitance, Sensors, Capacitors, Polymers, Digital image correlation, Transducers, Electrodes, Dielectrics, Structural sensing, Structural health monitoring, Strain analysis

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Surface strain sensors, such as linear variable differential transformers, fiber Bragg gratings, and resistive strain gauges, have seen significant use for monitoring concrete infrastructure. However, spatial monitoring of concrete structures using these sensor systems is limited by challenges in the surface coverage provided by a specific sensor or issues related to mounting and maintaining numerous mechanical sensors on the structure. A potential solution to this challenge is the deployment of large-area electronics in the form of a sensing skin to provide complete coverage of a monitored area while being simple to apply and maintain. Along this line of effort, networks constituted of soft elastomeric capacitors have been deployed to monitor strain on steel and composite structures. However, using soft elastomeric capacitors on concrete surfaces has been challenging due to the electrical coupling between the sensors and concrete, which amplifies transduced strain signals obtained from the soft elastomeric capacitors. In this work, the authors investigate the isolation of the soft elastomeric capacitors from the concrete by extending the styrene-block-ethylene-co-butylene-block-styrene matrix of the soft elastomeric capacitors to include a decoupling layer between the electrode and the concrete. Experimental investigations are carried out on concrete specimens for which the soft elastomeric capacitor is adhered to with a thin layer of off-the-shelf epoxy and then loaded on the dynamic testing system to monitor strain provoked on the concrete samples. The results presented here demonstrate the viability of the electrically isolated soft elastomeric capacitors for monitoring strain on concrete structures. Initial comparisons between un-isolated and electrically isolated soft elastomeric capacitors showed that the nominal capacitance of the soft elastomeric capacitor is significantly lowered by adding an isolation layer of SEBS. Furthermore, strain results for the soft elastomeric capacitors are compared to ones from a resistive strain gauge and digital image correlation. The data obtained is significant for modifying soft elastomeric capacitors with the anticipation for future use on concrete structures.

Proceedings Article | 20 April 2022 Poster + Paper

Deterministic and low-latency time-series forecasting of nonstationary signals

Puja Chowdhury, Vahid Barzegar, Joud Satme, Austin R. Downey, Simon Laflamme, Jason Bakos, Chao Hu

Proceedings Volume 12043, 120431D (2022) https://doi.org/10.1117/12.2629025

KEYWORDS: Field programmable gate arrays, Clocks, Neurons, Signal to noise ratio, Structural health monitoring, Sensors, Detection and tracking algorithms, Data acquisition, Damage detection, Algorithm development

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Proceedings Article | 18 April 2022 Presentation + Paper

Long-term field monitoring of fatigue cracks for steel bridges with wireless large-area strain sensors

Sdiq Anwar Taher, Jian Li, Jong-Hyun Jeong, Simon Laflamme, Hongki Jo, Caroline Bennett, William Collins, Han Liu, Austin Downey, Mona Shaheen

Proceedings Volume 12046, 1204604 (2022) https://doi.org/10.1117/12.2613072

KEYWORDS: Sensors, Bridges, Data storage, Capacitance, Wavelets, Remote sensing, Clouds, Structural health monitoring, Continuous wavelet transforms, Strain analysis, Wireless communications, Structural sensing, Smart structures, Damage detection

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Proceedings Article | 18 April 2022 Presentation

Physical Parameter Estimation with Ensemble Learning for State Estimation of High-Rate Dynamic Systems

Vahid Barzegar, Matthew Nelson, Simon Laflamme, Chao Hu, Jacob Dodson

Proceedings Volume PC12046, PC1204607 (2022) https://doi.org/10.1117/12.2613113

KEYWORDS: Systems modeling, Algorithm development, Neural networks, Dynamical systems, Structural health monitoring, Safety, Liquids

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Proceedings Article | 18 April 2022 Presentation + Paper

Large area capacitive sensors for impact damage measurement

Alexander Vereen, Austin Downey, Subramani Sockalingam, Simon Laflamme

Proceedings Volume 12046, 120460F (2022) https://doi.org/10.1117/12.2629492

KEYWORDS: Sensors, Composites, Capacitance, Structural health monitoring, Capacitors, Resistance, Head, Sensor networks, Manufacturing, Dielectrics

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Proceedings Article | 20 June 2021 Presentation + Paper

Investigation of a low-cost weigh-in-motion vehicle characterization system

Hasan Borke Birgin, Antonella D'Alessandro, Maurizio Favaro, Cesare Sangiorgi, Simon Laflamme, Filippo Ubertini

Proceedings Volume 11785, 1178505 (2021) https://doi.org/10.1117/12.2593722

KEYWORDS: Signal processing, Sensing systems, Roads, Signal generators, Vehicle sensing, Structural health monitoring, Sensors, Machine learning, Data processing, Carbon

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Proceedings Article | 22 March 2021 Presentation + Paper

Monitoring impact damage in composites with large area sensing skins

Alexander Vereen, Austin Downey, Subramani Sockalingham, Paul Ziehl, Simon LaFlamme, Jian Li, Hongki Jo

Proceedings Volume 11591, 115911Q (2021) https://doi.org/10.1117/12.2582572

KEYWORDS: Sensors, Capacitors, Skin, Composites, Glasses, Capacitance, Sensor networks, Nondestructive evaluation, Inspection, Head

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The effect of low energy impacts can seriously impair the operational life span of composites in the field. These low-energy impacts can induce a permanent loss in the toughness of the composite without any visible indication of the material’s compromise. The detection of this damage utilizing nondestructive inspection requires dense measurements over much of the surface and has been traditionally achieved by removing the part from service for advanced imaging techniques. While these methods can accurately diagnose the damage inflicted internally by the impacts, they accrue non-trivial opportunity costs while the structure is inspected. To enable the capabilities of in-service monitoring of the composite, the novel soft elastomeric capacitor was investigated as a sensing solution. The sensor is made of three layers comprised of a styrene-ethylene-butylene-styrene (SEBS) matrix, a commercially available elastomer. These layers consist of a titania filled center layer that forms the dielectric of the capacitor and two highly conductive outer layers doped with carbon black. This simple formation allows for a capacitor that has extremely robust mechanical properties. The soft elastomeric capacitor functions by taking up deformations on the surface of the composite that is transduced into a measurable change in capacitance. This study provides an electro-mechanical model for impact damage and experimentally investigates the efficacy of these sensors for use in damage detection given their promising characteristics; that being that the sensor geometry can be arbitrarily large allowing for much fewer sensors than traditional sensor networks employed for this task at a much lower cost than installing traditional in-situ sensing solutions. To investigate these properties a set of impact trials were undertaken on a drop tower using small samples of glass fiber reinforced plate, of random orient and short fiber, with a soft elastomeric capacitor mounted directly opposite the impact site. The impactor head was only allowed one contact with the sample before being intercepted. The testing range for the samples ranged from well below the yield strength of the glass fiber reinforced plate to the ultimate strength of the plate. Experimental results reported a square root relation between the impact energy given to the plate when inducing plastic deformations and the sensor’s measured change in capacitance.

Proceedings Article | 22 March 2021 Presentation + Paper

Long short-term memory networks with attention learning for high-rate structural health monitoring

Matthew Nelson, Vahid Barzegar, Simon Laflamme, Chao Hu, Jacob Dodson

Proceedings Volume 11591, 115910H (2021) https://doi.org/10.1117/12.2582428

KEYWORDS: Structural health monitoring, Systems modeling, Safety, Numerical simulations, Dynamical systems

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Proceedings Article | 22 March 2021 Paper

Bio-inspired metasurface skin to enhance the performance of blue energy harvesting

Saman Farhangdoust, Gary Georgeson, Jeong-Beom Ihn, Sadegh Mehdi Aghaei, Simon Laflamme

Proceedings Volume 11591, 115911D (2021) https://doi.org/10.1117/12.2583354

KEYWORDS: Structural health monitoring, Ferroelectric materials, Sensors, Renewable energy, Metamaterials, Finite element methods, Epoxies, Energy harvesting, Chemical elements

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Proceedings Article | 22 March 2021 Presentation + Paper

Experimental validation of textured sensing skin for fatigue crack monitoring

Han Liu, Simon Laflamme, Jian Li, Caroline Bennett, William Collins, Austin Downey, Hongki Jo

Proceedings Volume 11591, 115911R (2021) https://doi.org/10.1117/12.2582592

KEYWORDS: Skin, Sensors, Yield improvement, Thin films, Numerical analysis, Capacitors, Capacitance

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Proceedings Article | 22 April 2020 Presentation + Paper

Surrogate-based performance evaluation strategy for high performance control systems under uncertainties

Laura Micheli, Liang Cao, Simon Laflamme

Proceedings Volume 11376, 1137621 (2020) https://doi.org/10.1117/12.2558763

KEYWORDS: Control systems, Sensors, Magnesium, Failure analysis, Performance modeling, Numerical simulations, Stochastic processes, Computer simulations, Sensor performance, Process modeling

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Proceedings Article | 27 March 2019 Presentation + Paper

Model-assisted validation of a strain-based dense sensor network

Jin Yan, Xiaosong Du, Simon Laflamme, Leifur Leifsson, Chao Hu, An Chen

Proceedings Volume 10970, 109702C (2019) https://doi.org/10.1117/12.2515232

KEYWORDS: Data modeling, Structural health monitoring, Sensor networks, Sensors, Damage detection, Detection and tracking algorithms, Numerical simulations, Matrices, Error analysis, Systems modeling

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Proceedings Article | 27 March 2018 Presentation + Paper

Surrogate model for condition assessment of structures using a dense sensor network

Jin Yan, Xiaosong Du, Austin Downey, Alessandro Cancelli, Simon Laflamme, Leifur Leifsson, An Chen, Filippo Ubertini

Proceedings Volume 10598, 105983F (2018) https://doi.org/10.1117/12.2296711

KEYWORDS: Sensors, Sensor networks, Skin, Capacitors, Structural health monitoring, Reconstruction algorithms, Electronics, Dielectrics

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Proceedings Article | 27 March 2018 Presentation + Paper

Capacitance-based wireless strain sensor development

Jong-Hyun Jeong, Jian Xu, Hongki Jo, Jian Li, Xiangxiong Kong, William Collins, Caroline Bennett, Simon Laflamme

Proceedings Volume 10598, 105980S (2018) https://doi.org/10.1117/12.2296716

KEYWORDS: Capacitance, Wheatstone bridges, Capacitors, Structural health monitoring

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Proceedings Article | 27 March 2018 Presentation + Paper

Durability assessment of soft elastomeric capacitor skin for SHM of wind turbine blades

Austin Downey, Anna Laura Pisello, Elena Fortunati, Claudia Fabiani, Francesca Luzi, Luigi Torre, Filippo Ubertini, Simon Laflamme

Proceedings Volume 10599, 105991J (2018) https://doi.org/10.1117/12.2296518

KEYWORDS: Sensors, Dielectrics, Capacitance, Capacitors, Wind turbine technology, Ultraviolet radiation, Structural health monitoring, Carbon, Reflectivity, Statistical analysis

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Proceedings Article | 27 March 2018 Presentation + Paper

Dense capacitive sensor array for monitoring distortion-induced fatigue cracks in steel bridges

Xiangxiong Kong, Jian Li, William Collins, Caroline Bennett, Hongki Jo, Jong-Hyun Jeong, Simon Laflamme

Proceedings Volume 10598, 105980Q (2018) https://doi.org/10.1117/12.2296592

KEYWORDS: Bridges, Sensors, Capacitors, Skin, Data acquisition, Capacitance, Structural health monitoring, Lithium, Civil engineering, Safety

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Proceedings Article | 27 March 2018 Presentation + Paper

Strain monitoring in masonry structures using smart bricks

Andrea Meoni, Antonella D'Alessandro, Austin Downey, Simon Laflamme, Filippo Ubertini

Proceedings Volume 10598, 105981T (2018) https://doi.org/10.1117/12.2297526

KEYWORDS: Resistance, Structural health monitoring, Sensors, Electrodes, Data acquisition, Carbon, Nanocomposites, Scanning electron microscopy, Control systems, Data modeling

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Proceedings Article | 27 March 2018 Paper

Crack detection in RC structural components using a collaborative data fusion approach based on smart concrete and large-area sensors

Austin Downey, Antonella D'Alessandro, Filippo Ubertini, Simon Laflamme

Proceedings Volume 10598, 105983B (2018) https://doi.org/10.1117/12.2296695

KEYWORDS: Cements, Sensors, Skin, Data fusion, Resistance, Data modeling, Monte Carlo methods, Capacitance, Capacitors

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Proceedings Article | 15 March 2018 Paper

Performance evaluation of a semi-active cladding connection for multi-hazard mitigation

Yongqiang Gong, Liang Cao, Laura Micheli, Simon Laflamme, Spencer Quiel, James Ricles

Proceedings Volume 10595, 105950B (2018) https://doi.org/10.1117/12.2295933

KEYWORDS: Cladding, Connectors, Control systems design, Earthquakes

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Proceedings Article | 19 April 2017 Presentation + Paper

Damage location and quantification of a pretensioned concrete beam using stochastic subspace identification

Alessandro Cancelli, Laura Micheli, Simon Laflamme, Alice Alipour, Sri Sritharan, Filippo Ubertini

Proceedings Volume 10169, 1016917 (2017) https://doi.org/10.1117/12.2261825

KEYWORDS: Sensors, Data modeling, Particles, Optimization (mathematics), Numerical simulations, Stochastic processes, Structural health monitoring, System identification, Matrices, Systems modeling, Damage detection, Modal analysis, Computer simulations, Roads

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Proceedings Article | 19 April 2017 Presentation + Paper

Continuous and embedded solutions for SHM of concrete structures using changing electrical potential in self-sensing cement-based composites

Austin Downey, Enrique Garcia-Macias, Antonella D'Alessandro, Simon Laflamme, Rafael Castro-Triguero, Filippo Ubertini

Proceedings Volume 10169, 101691G (2017) https://doi.org/10.1117/12.2261427

KEYWORDS: Cements, Sensors, Carbon nanotubes, Structural health monitoring, Composites, Smart sensors, Sensor networks, Damage detection, Smart structures, Carbon, Resistance, Dielectric polarization, Electrodes, Resistors

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Proceedings Article | 12 April 2017 Presentation + Paper

Experimental damage detection of wind turbine blade using thin film sensor array

Austin Downey, Simon Laflamme, Filippo Ubertini, Partha Sarkar

Proceedings Volume 10168, 1016815 (2017) https://doi.org/10.1117/12.2261531

KEYWORDS: Wind turbine technology, Sensors, Sensor networks, Damage detection, Capacitors, Signal detection, Electronics, Sensing systems, Biomimetics, Thin films, Structural health monitoring, Skin, Algorithm development

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Proceedings Article | 12 April 2017 Presentation + Paper

Variable input observer for state estimation of high-rate dynamics

Jonathan Hong, Liang Cao, Simon Laflamme, Jacob Dodson

Proceedings Volume 10168, 101680S (2017) https://doi.org/10.1117/12.2261597

KEYWORDS: Turbulence, Pollution control, Sensing systems, Error analysis, Wavelets, Data acquisition, Dynamical systems, Electronics, Neural networks, Sensors, Complex systems, Numerical simulations, Analytical research

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Proceedings Article | 12 April 2017 Presentation + Paper

Damage detection and localization algorithm using a dense sensor network of thin film sensors

Austin Downey, Filippo Ubertini, Simon Laflamme

Proceedings Volume 10168, 1016813 (2017) https://doi.org/10.1117/12.2261408

KEYWORDS: Wind turbine technology, Sensors, Sensor networks, Thin films, Fiber Bragg gratings, Damage detection, Detection and tracking algorithms, Signal detection, Structural health monitoring, Capacitors, Data fusion, Data modeling, Reconstruction algorithms

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Proceedings Article | 12 April 2017 Paper

A robust signal processing method for quantitative high-cycle fatigue crack monitoring using soft elastomeric capacitor sensors

Xiangxiong Kong, Jian Li, William Collins, Caroline Bennett, Simon Laflamme, Hongki Jo

Proceedings Volume 10168, 101680B (2017) https://doi.org/10.1117/12.2260364

KEYWORDS: Signal processing, Capacitors, Sensors, Electronics, Structural health monitoring, Bridges, Capacitance, Performance modeling, Data acquisition, Civil engineering

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Proceedings Article | 11 April 2017 Paper

A novel tuned liquid wall damper for multi-hazard mitigation

Hao Wu, Liang Cao, An Chen, Simon Laflamme

Proceedings Volume 10164, 1016433 (2017) https://doi.org/10.1117/12.2261632

KEYWORDS: Liquids, Computational fluid dynamics, System integration, Fluid dynamics, Motion models, Systems modeling, Wind energy, Buildings, Embedded systems, Computer simulations

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Proceedings Article | 11 April 2017 Presentation + Paper

Probabilistic performance-based design for high performance control systems

Laura Micheli, Liang Cao, Yongqiang Gong, Alessandro Cancelli, Simon Laflamme, Alice Alipour

Proceedings Volume 10164, 101642I (2017) https://doi.org/10.1117/12.2261449

KEYWORDS: Control systems, Probability theory, Numerical simulations, Buildings, Systems modeling, Magnesium, Hazard analysis, Magnetic resonance imaging, Computer simulations, Seaborgium, Turbulence

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Proceedings Article | 20 April 2016 Presentation + Paper

Model calibration for a soft elastomeric capacitor sensor considering slippage under fatigue cracks

Xiangxiong Kong, Jian Li, Caroline Bennett, William Collins, Simon Laflamme

Proceedings Volume 9803, 98032P (2016) https://doi.org/10.1117/12.2219508

KEYWORDS: Calibration, Sensors, Capacitance, Capacitors, Sensor calibration, Computer simulations, Numerical simulations, Performance modeling, Fiber optics sensors, Structural health monitoring, Lithium, Bridges

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Proceedings Article | 20 April 2016 Presentation + Paper

Strain sensitivity of carbon nanotube cement-based composites for structural health monitoring

Antonella D'Alessandro, Filippo Ubertini, Simon Laflamme, Marco Rallini, Annibale Materazzi, Josè Kenny

Proceedings Volume 9803, 980319 (2016) https://doi.org/10.1117/12.2218905

KEYWORDS: Cements, Composites, Carbon nanotubes, Structural health monitoring, Sensors, Smart sensors, Nanotechnology, Nanoparticles, Carbon, Resistance, Scanning electron microscopy, Electrodes, Nanocomposites, Laser sintering

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Proceedings Article | 20 April 2016 Presentation + Paper

Distributed thin film sensor array for damage detection and localization

Austin Downey, Simon Laflamme, Filippo Ubertini

Proceedings Volume 9803, 98030R (2016) https://doi.org/10.1117/12.2219301

KEYWORDS: Sensors, Damage detection, Diffusion, Thin films, Algorithm development, Detection and tracking algorithms, Sensor networks, Signal detection, Structural health monitoring, Capacitors, Finite element methods, Reconstruction algorithms, Numerical simulations, Computer simulations, Interference (communication), Sensing systems

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Proceedings Article | 15 April 2016 Presentation + Paper

Input space-dependent controller for multi-hazard mitigation

Liang Cao, Simon Laflamme

Proceedings Volume 9799, 97992H (2016) https://doi.org/10.1117/12.2219263

KEYWORDS: Lawrencium, Sensors, Control systems design, Control systems, Probability theory, Hazard analysis, Systems modeling, Signal processing, Process control, Adaptive control, Lithium, Computer simulations, Data modeling, Information theory

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Proceedings Article | 3 April 2015 Paper

Characterization of a soft elastomeric capacitive strain sensor for fatigue crack monitoring

Xiangxiong Kong, Jian Li, Simon Laflamme, Caroline Bennett, Adolfo Matamoros

Proceedings Volume 9435, 94353I (2015) https://doi.org/10.1117/12.2176631

KEYWORDS: Sensors, Capacitance, Bridges, Metals, Calibration, Data modeling, Data acquisition, Capacitors, 3D modeling, Ultrasonics

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Proceedings Article | 1 April 2015 Paper

Conductive paint-filled cement paste sensor for accelerated percolation

Simon Laflamme, Irvin Pinto, Hussam Saleem, Mohamed Elkashef, Kejin Wang, Eric Cochran

Proceedings Volume 9437, 943722 (2015) https://doi.org/10.1117/12.2084408

KEYWORDS: Cements, Sensors, Particles, Polymers, Carbon, Resistance, Structural health monitoring, Roads, Polymeric sensors, Electrodes

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Proceedings Article | 27 March 2015 Paper

Algorithm for decomposition of additive strain from dense network of thin film sensors

Hussam Saleem, Austin Downey, Simon Laflamme

Proceedings Volume 9435, 94351N (2015) https://doi.org/10.1117/12.2084369

KEYWORDS: Sensors, Thin films, Numerical simulations, Data acquisition, Capacitance, Structural health monitoring, Dielectrics, Algorithms, Wind energy, Sensing systems

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Proceedings Article | 8 March 2014 Paper

Dynamic characterization of a soft elastomeric capacitor for structural health monitoring applications

Hussam Saleem, Simon Laflamme, Filippo Ubertini

Proceedings Volume 9061, 906115 (2014) https://doi.org/10.1117/12.2045324

KEYWORDS: Sensors, Thin films, Capacitors, Capacitance, Structural health monitoring, Polymers, Data acquisition, Nanoparticles, Wavelet transforms, Data processing

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Proceedings Article | 8 March 2014 Paper

Thin film sensor network for condition assessment of wind turbine blades

Simon Laflamme, Hussam Saleem, Chinde Venkatesh, Umesh Vaidya, Partha Sarkar, Heather Sauder

Proceedings Volume 9061, 906116 (2014) https://doi.org/10.1117/12.2045425

KEYWORDS: Sensors, Damage detection, Capacitors, Dielectrics, Sensor networks, Capacitance, Thin films, Sensing systems, Detection and tracking algorithms, Wind turbine technology

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Proceedings Article | 16 April 2013 Paper

Enhanced polymer nanocomposites for condition assessment of wind turbine blades

H. Saleem, M. Thunga, M. Kollosche, M. Kessler, S. Laflamme

Proceedings Volume 8694, 86940A (2013) https://doi.org/10.1117/12.2009856

KEYWORDS: Nanoparticles, Polymers, Particles, Composites, Nondestructive evaluation, Nanocomposites, Scanning electron microscopy, Sensors, Titanium dioxide, Wind turbine technology

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Proceedings Article | 5 April 2012 Paper

Large-scale surface strain gauge for health monitoring of civil structures

Simon Laflamme, Matthais Kollosche, Venkata Kollipara, Hussam Saleem, Guggi Kofod

Proceedings Volume 8347, 83471P (2012) https://doi.org/10.1117/12.913187

KEYWORDS: Sensors, Capacitance, Bridges, Structural health monitoring, Capacitors, Fourier transforms, Skin, Sensing systems, Inspection, Optical inspection

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Proceedings Article | 7 April 2009 Paper

Application of self-tuning Gaussian networks for control of civil structures equipped with magnetorheological dampers

Simon Laflamme, Jerome Connor

Proceedings Volume 7288, 72880M (2009) https://doi.org/10.1117/12.815540

KEYWORDS: Earthquakes, Neural networks, Actuators, Control systems, Near field, Mathematical modeling, Device simulation, Adaptive control, Network architectures, Error analysis

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Showing 5 of 43 publications

Conference Committee Involvement (20)

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2025

17 March 2025 | Vancouver, Canada

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIX

17 March 2025 | Vancouver, Canada

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2024

25 March 2024 | Long Beach, California, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVIII

25 March 2024 | Long Beach, California, United States

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023

13 March 2023 | Long Beach, California, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVII

13 March 2023 | Long Beach, California, United States

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI

7 March 2022 | Long Beach, California, United States