Prof. Maria Q. Feng Profile

Prof. Maria Q. Feng

at Columbia Univ

SPIE Involvement:

Author

Publications (32)

Proceedings Article | 9 May 2024 Poster + Paper

Damage localization in large-area FRP composites using a parallel array of self-sensing carbon fiber tows

Luke Demo, Eleonora Tronci, Tymon Nieduzak, Maria Feng

Proceedings Volume 12950, 129500T (2024) https://doi.org/10.1117/12.3010864

KEYWORDS: Resistance, Carbon fibers, Sensors, Composites, Electrodes, Structural health monitoring, Fiber reinforced polymers, Damage detection

Read Abstract +

Proceedings Article | 9 May 2024 Presentation + Paper

Heat transfer analysis through hybrid FRP composite for self-sensing lithium-ion battery enclosure

Tymon Nieduzak, Eleonora Tronci, Tianyi Zhou, Luke Demo, Maria Feng

Proceedings Volume 12950, 129500P (2024) https://doi.org/10.1117/12.3010566

KEYWORDS: Sensors, Composites, Batteries, Design, Carbon fibers, Temperature metrology, Fiber reinforced polymers, Thermal modeling, Glasses

Read Abstract +

The automotive industry is rapidly transforming due to the growing demand for decarbonization. Electric Vehicles (EVs) are becoming increasingly common, and subsequent innovations regarding vehicle lightweighting can increase vehicle efficiency and further reduce carbon footprint. Lithium-Ion Batteries (LIBs) have become the most common power source used in EVs, but LIBs host some inherent challenges, namely thermal runaway. Thermal runaway can be caused by various mechanisms including thermal, mechanical, or electrical impacts which occur during extreme operating conditions. This kind of failure can result in battery fires and explosions that are extremely difficult to extinguish and pose a significant safety risk. A self-sensing LIB enclosure that monitors the temperatures of individual battery modules and provides an early warning signal may be a viable solution to the thermal runaway safety issue. This work studies a hybrid carbon and glass Fiber Reinforced Polymer (FRP) composite designed to replace the traditional metal LIB enclosure, lightweighting the EV design and allowing for condition monitoring sensors to be embedded during the manufacturing process. Battery enclosures have tight space constraints which prohibit surface mounted sensors, making sensor embedment essential. Embedded sensors also have the advantage of a protective composite layer that makes the sensor system more robust during manufacturing and operating conditions. However, this composite layer under which the sensors are sealed produces a time lag in detecting a temperature change within the battery enclosure. This time delay would reduce the efficacy of an early warning system. The purpose of this study is to lay the groundwork for a self-sensing condition monitoring LIB enclosure and characterize the composite enclosure’s temperature response at different layers. A theoretical design of said system is detailed, and a prototype enclosure sample instrumented with temperature sensors is fabricated. Experiments are performed to measure the temperature response of the self-sensing composite prototype when exposed to realistic thermal runaway conditions. This is accomplished through a novel experimental test set up that imposes a unidirectional heat transfer condition by exposing the composite sample to oven temperatures on the top surface and ambient temperatures on the bottom surface. A computational model is developed to predict the composite’s thermal response during different LIB failure temperatures. This finite element transient heat transfer simulation is tuned using initial experimental results and validated by subsequent thermal tests. This study produces a high accuracy thermal model which can be used to provide design optimization information, like the ideal placement of sensors, and predict the thermal response of a composite enclosure when exposed to different thermal loading conditions. The thermal simulation could also be utilized in future works to develop a temperature inference model which could predict LIB health from embedded sensor measurements. This work details the novel experiments and derived finite element model that characterize a potential LIB management system integrated within a self-sensing composite battery enclosure.

Proceedings Article | 25 April 2023 Paper

Computer vision-based vehicle weigh-in-motion system

Maria Feng, Ryan Leung

Proceedings Volume 12488, 1248813 (2023) https://doi.org/10.1117/12.2661126

KEYWORDS: Computing systems, Computer vision technology, Deformation, Roads, Manufacturing, Error analysis, Bridges, Sensors, Safety, Physics

Read Abstract +

Proceedings Article | 18 April 2022 Presentation + Paper

Low-power multi-hop wireless sensor network for vibration monitoring of large structures

Eleonora Tronci, Sakie Nagakubo, Hiroyuki Hieda, Luke Demo, Maria Feng

Proceedings Volume 12047, 1204711 (2022) https://doi.org/10.1117/12.2615700

KEYWORDS: Sensors, Bridges, Wireless communications, Solar concentrators, Sensor networks, Data communications, Microelectromechanical systems, Telecommunications, RF communications, Manufacturing

Read Abstract +

Proceedings Article | 20 April 2011 Paper

Modal parameter identification of civil engineering structures under operational conditions

Hasan Ulusoy, Maria Feng

Proceedings Volume 7983, 79832Q (2011) https://doi.org/10.1117/12.881452

KEYWORDS: Bridges, Stochastic processes, Matrices, Civil engineering, System identification, Data modeling, Filtering (signal processing), Systems modeling, Algorithms, Structural health monitoring

Read Abstract +

Proceedings Article | 20 April 2011 Paper

Utilization of strong motion data for damage assessment of reinforced concrete bridges

Reza Baghaei, Maria Feng

Proceedings Volume 7983, 79832P (2011) https://doi.org/10.1117/12.880727

KEYWORDS: Bridges, Earthquakes, Time-frequency analysis, Optimization (mathematics), Genetic algorithms, Data modeling, Stochastic processes, Mathematical modeling, Error analysis, Calibration

Read Abstract +

Proceedings Article | 20 April 2011 Paper

Residual capacity estimation of bridges using structural health monitoring data

Reza Baghaei, Maria Feng, Marco Torbol

Proceedings Volume 7983, 79833I (2011) https://doi.org/10.1117/12.880728

KEYWORDS: Bridges, Earthquakes, Motion models, Data modeling, Databases, Structural health monitoring, Nonlinear response, Structural engineering, Analytical research, Modal analysis

Read Abstract +

Proceedings Article | 19 April 2011 Paper

Nondestructive corrosion detection in concrete through integrated heat induction and IR thermography

Seung-Jun Kwon, Henry Xue, Maria Feng, Seunghoon Baek

Proceedings Volume 7983, 79831R (2011) https://doi.org/10.1117/12.881121

KEYWORDS: Corrosion, Thermography, Radiation thermography, Infrared cameras, Nondestructive evaluation, Infrared imaging, Electromagnetism, Cameras, Infrared detectors, Infrared radiation

Read Abstract +

Proceedings Article | 9 April 2010 Paper

Identification and health monitoring of an instrumented building using earthquake response data

Hasan Ulusoy, Maria Feng, Paul Fanning

Proceedings Volume 7649, 76491L (2010) https://doi.org/10.1117/12.847693

KEYWORDS: Earthquakes, Data modeling, Sensors, Motion models, Civil engineering, System identification, Mathematical modeling, Matrices, Algorithm development, Systems modeling

Read Abstract +

Proceedings Article | 9 April 2010 Paper

Damage assessment of the bridge structures using a hybrid optimization strategy

Reza Baghaei, Maria Feng

Proceedings Volume 7649, 76491N (2010) https://doi.org/10.1117/12.848855

KEYWORDS: Bridges, Data modeling, Optimization (mathematics), Signal to noise ratio, Earthquakes, Calibration, Matrices, Motion models, Error analysis, Interference (communication)

Read Abstract +

Proceedings Article | 8 April 2009 Paper

Field experiment on monitoring of cracks in highway asphalt overlay

Fei Lu, Maria Feng, Xinyu Gu, Shunxin Yang

Proceedings Volume 7294, 72940O (2009) https://doi.org/10.1117/12.816690

KEYWORDS: Reflectivity, Optical fibers, Temperature metrology, Optical sensing, Scattering, Fiber optics sensors, Light scattering, Prisms, Overlay metrology, Sensors

Read Abstract +

Proceedings Article | 8 April 2009 Paper

Detection and monitoring of FRP-concrete debonding using distributed fiber optic strain sensor

M. Imai, M. Feng

Proceedings Volume 7294, 72940N (2009) https://doi.org/10.1117/12.816603

KEYWORDS: Fiber optics sensors, Fiber reinforced polymers, Sensors, Spatial resolution, Scattering, Fiber optics, Composites, Optical fibers, Glasses

Read Abstract +

Proceedings Article | 16 May 2008 Paper

Detection of micrometer crack by Brillouin-scattering-based distributed strain and temperature sensor

Lufan Zou, Maria Feng

Proceedings Volume 7004, 700419 (2008) https://doi.org/10.1117/12.785694

KEYWORDS: Ceramics, Temperature sensors, Sensors, Fiber optics sensors, Spatial resolution, Optical fibers, Signal processing, Continuous wave operation, Temperature metrology, Environmental sensing

Read Abstract +

Proceedings Article | 10 April 2007 Paper

Integration of traffic information in the structural health monitoring of highway bridges

Chin An Tan, Demeke Beyene Ashebo, Maria Feng, Yoshio Fukuda

Proceedings Volume 6529, 65291D (2007) https://doi.org/10.1117/12.715968

KEYWORDS: Bridges, Video, Sensors, Structural health monitoring, Image processing, Video surveillance, System identification, Stochastic processes, Video processing, Data modeling

Read Abstract +

Structural condition assessment of highway bridges is traditionally performed by visual inspections or nondestructive evaluation techniques, which are either slow, unreliable or detects only local flaws. Instrumentation of bridges with accelerometers and other sensors, however, can provide real-time data useful for monitoring the global structural conditions of the bridges due to ambient and forced excitations. Traditionally, videos are used for surveillance purposes and environmental monitoring of civil structures. In this paper the potential for the utilization of videos in an integrated structural health monitoring of highway bridges beyond the mentioned traditional applications are reported. Results obtained from the field tests, which were carried out on a short-span instrumented bridge, are presented. Videos of vehicles passing by, together with signals from laser beam sensors placed on the side of the bridge, were captured, and synchronized with data recordings from the accelerometers. For short-span highway bridges, vibration is predominantly due to traffic excitation. A stochastic model of traffic excitation on bridges is developed assuming that vehicles traversing a bridge (modeled as an elastic beam) form a sequence of Poisson process moving forces and that the contact force of a vehicle on the bridge deck can be converted to equivalent dynamic loads at the nodes of the beam elements. Basic information of vehicle types, arrival times and speeds are extracted from the video images to develop a physics-based simulation model of the traffic excitation. This modeling approach aims at circumventing a difficulty in the system identification of bridge structural parameters. Current practice of system identification of bridge parameters is often based on the measured response (or system output) only, and knowledge of the input (traffic excitation) is either unknown or assumed, making it difficult to obtain an accurate assessment of the state of the bridge structures. The effectiveness and viability of this video-assisted approach are demonstrated by the field results. Finally, a technique on how to integrate the weights of vehicles in the image processing algorithm is proposed.

Proceedings Article | 11 April 2006 Paper

A video assisted approach for structural health monitoring of highway bridges under normal traffic

Yangbo Chen, Chin-An Tan, Maria Feng, Yoshio Fukuda

Proceedings Volume 6174, 61741V (2006) https://doi.org/10.1117/12.658881

KEYWORDS: Bridges, Lithium, Video, Stochastic processes, Structural health monitoring, Modulation, Sensors, System identification, Digital filtering, Image processing

Read Abstract +

Structural condition assessment of highway bridges is traditionally performed by visual inspections or nondestructive evaluation techniques, which are either slow, unreliable or detects only local flaws. Instrumentation of bridges with accelerometers and other sensors, however, can provide real-time data useful for monitoring the global structural conditions of the bridges due to ambient and forced excitations. This paper reports a video-assisted approach for structural health monitoring of highway bridges, with results from field tests and subsequent offline parameter identification. The field tests were performed on a short-span instrumented bridge. Videos of vehicles passing by were captured, synchronized with data recordings from the accelerometers. For short-span highway bridges, vibration is predominantly due to traffic excitation. A stochastic model of traffic excitation on bridges is developed assuming that vehicles traversing a bridge (modeled as an elastic beam) form a sequence of Poisson process moving loads and that the contact force of a vehicle on the bridge deck can be converted to equivalent dynamic loads at the nodes of the beam elements. Basic information of vehicle types, arrival times and speeds are extracted from video images to develop a physics-based simulation model of the traffic excitation. This modeling approach aims at circumventing a difficulty in the system identification of bridge structural parameters. Current practice of system identification of bridge parameters is often based on the measured response (or system output) only, and knowledge of the input (traffic excitation) is either unknown or assumed, making it difficult to obtain an accurate assessment of the state of the bridge structures. Our model reveals that traffic excitation on bridges is spatially correlated, an important feature that is usually incorrectly ignored in most output-only methods. A recursive Bayesian filtering is formulated to monitor the evolution of the state of the bridge. The effectiveness and viability of this video-assisted approach are demonstrated by the field results.

Proceedings Article | 11 April 2006 Paper

Damage detection of structures using support vector machines under various boundary conditions

Marie Shimada, Akira Mita, Maria Feng

Proceedings Volume 6174, 61742K (2006) https://doi.org/10.1117/12.658956

KEYWORDS: Damage detection, Sensors, Structural health monitoring, Buildings, Pattern recognition, Data modeling, System identification, Performance modeling, Modal analysis, Analytical research

Read Abstract +

Proceedings Article | 16 March 2006 Paper

Real-time monitoring of structural vibration using a novel fiber optic accelerometer system

Dae-Hyun Kim, Maria Feng

Proceedings Volume 6178, 617801 (2006) https://doi.org/10.1117/12.659097

KEYWORDS: Sensors, Fiber optics, Fiber optics sensors, Fiber optics tests, Filtering (signal processing), Head, Prototyping, Civil engineering, Signal processing, Software development

Read Abstract +

Proceedings Article | 6 December 2005 Paper

Joint torque and angle estimation by using ultrasonic muscle activity sensor

Yoichiro Tsutsui, Takayuki Tanaka, Shun'ichi Kaneko, Maria Feng

Proceedings Volume 6049, 604902 (2005) https://doi.org/10.1117/12.649202

KEYWORDS: Sensors, Electromyography, Ultrasonography, Skin, Transducers, Ultrasonics, Electrodes, Motion estimation, Wave propagation, Signal processing

Read Abstract +

Proceedings Article | 6 December 2005 Paper

Auto-calibration system of EMG sensor suit

Yousuke Suzuki, Takayuki Tanaka, Maria Feng

Proceedings Volume 6049, 60490L (2005) https://doi.org/10.1117/12.648798

KEYWORDS: Sensors, Electromyography, Electrodes, Neural networks, Interfaces, Nerve, Calibration, Optical fibers, Sensing systems, Strontium

Read Abstract +

Proceedings Article | 5 December 2005 Paper

Smart suit with variable stiffness mechanism. 3rd report: development of a prototype and verify the effectiveness

Toshiaki Hayashi, Takayuki Tanaka, Maria Feng, Hidetaka Okada

Proceedings Volume 6048, 60480F (2005) https://doi.org/10.1117/12.648795

KEYWORDS: Prototyping, Actuators, Thulium, Robots, 3D modeling, Motion models, Radium, Electromyography, Electronic filtering, Linear filtering

Read Abstract +

Proceedings Article | 9 May 2005 Paper

Global structural condition assessment of highway bridges by ambient vibration monitoring

Maria Feng, Yangbo Chen, Chin-An Tan

Proceedings Volume 5769, (2005) https://doi.org/10.1117/12.600400

KEYWORDS: Bridges, Video, Sensors, Optical inspection, Vibrometry, Nondestructive evaluation, Data modeling, Inspection, Motion measurement, Lead

Read Abstract +

Proceedings Article | 29 July 2004 Paper

Physics-based traffic excitation models for highway bridges

Yangbo Chen, Chin-An Tan, Maria Feng

Proceedings Volume 5391, (2004) https://doi.org/10.1117/12.540041

KEYWORDS: Bridges, Finite element methods, System identification, Structural dynamics, Phase shifting, Roads, Physics, Systems modeling, Lithium, Statistical analysis

Read Abstract +

Proceedings Article | 14 July 2004 Paper

Development of microwave imaging technology for NDE of civil engineering structures

Yoo Jin Kim, Maria Feng, Luis Jofre, Franco De Flaviis

Proceedings Volume 5395, (2004) https://doi.org/10.1117/12.538657

KEYWORDS: Antennas, Microwave imaging, Microwave radiation, Dielectrics, Nondestructive evaluation, Lenses, Civil engineering, Reconstruction algorithms, Fiber reinforced polymers, Imaging systems

Read Abstract +

Proceedings Article | 18 August 2003 Paper

Three-dimensional microwave imaging technology for damage detection of concrete structures

Yoo Jin Kim, Luis Jofre, Franco De Flaviis, Maria Feng

Proceedings Volume 5057, (2003) https://doi.org/10.1117/12.482396

KEYWORDS: Antennas, 3D image processing, Nondestructive evaluation, Image quality, Diodes, Microwave imaging, 3D image reconstruction, Switching, Microwave radiation, Electromagnetism

Read Abstract +

Proceedings Article | 18 August 2003 Paper

Stochastic optimization techniques for NDE of bridges using vibration signatures

Jin-Hak Yi, Maria Feng

Proceedings Volume 5057, (2003) https://doi.org/10.1117/12.482766

KEYWORDS: Bridges, Data modeling, Error analysis, Stochastic processes, Genetic algorithms, Optimization (mathematics), Algorithms, Nondestructive evaluation, Instrument modeling, Systems modeling

Read Abstract +

Proceedings Article | 28 June 2002 Paper

Microwave sub-surface imaging of damage in concrete structures

Yoo Kim, Luis Jofre, Franco De Flaviis, Maria Feng

Proceedings Volume 4696, (2002) https://doi.org/10.1117/12.472569

KEYWORDS: Antennas, Microwave radiation, Calibration, Numerical simulations, Imaging technologies, Reconstruction algorithms, Electromagnetism, Optical spheres, Switches, Fiber reinforced polymers

Read Abstract +

Proceedings Article | 3 August 2001 Paper

Instrumentation of bridges for long-term performance monitoring

Maria Feng, Doo-Kie Kim, Li-Hong Sheng, Leonard Fiji, Yoo Kim

Proceedings Volume 4337, (2001) https://doi.org/10.1117/12.435586

KEYWORDS: Bridges, Sensors, Roads, 3D modeling, Soil science, Power supplies, Civil engineering, Vibrometry, Shape analysis, Earthquakes

Read Abstract +

Proceedings Article | 27 April 2000 Paper

Mitigation of seismic pounding effect on bridges using dynamic restrainers

Masanobu Shinozuka, Maria Feng, Je-Min Kim, Fumio Nagashima, HoKyung Kim

Proceedings Volume 3989, (2000) https://doi.org/10.1117/12.384579

KEYWORDS: Bridges, Earthquakes, Electroluminescence, Civil engineering, Numerical simulations, Finite element methods, Motion models, Nonlinear response, Computer programming, Smart materials

Read Abstract +

Proceedings Article | 20 April 2000 Paper

Damage assessment of a highway network under scenario earthquakes for emergency response decision support

Masanobu Shinozuka, Maria Feng, Xuejiang Dong, Tetsushi Uzawa, Takayuki Ueda

Proceedings Volume 3988, (2000) https://doi.org/10.1117/12.383147

KEYWORDS: Bridges, Monte Carlo methods, Earthquakes, Computer simulations, Calibration, Statistical analysis, Decision support systems, Computer programming, Motion estimation, Motion models

Read Abstract +

Damage to highway systems from recent earthquakes has emphasized the need for pre-event damage assessment of the existing highway systems so that the effective measures can be taken to reduce the loss from the future earthquake. In this paper, a Monte Carlo technique is presented which can be effectively used to simulate the states of bridge as well as highway network damage. With the aid of damage data, collected after the 1994 Northridge earthquake, the fragility curves are developed for each bridge on a limited access expressway network in Los Angeles County and Orange County in California, and classified in accordance with such attributes as whether it is a single span or multiple span, how much it is skewed and the condition of soil on which it is constructed. Monte Carlo simulations of states of bridge damage are performed based on these facility curves. A set of criteria and indices are then introduced, upon calibration with Northridge experience, for simulation of the damage state of each link and then the state of network damage when subjected to scenario earthquakes. The calibration is achieved by adjusting the criteria and indices by comparing the simulated states with the actual states of network damage under the Northridge earthquake. Computational time for one realization (simulation) of states of network damage is of the order of a few seconds. Therefore, the Monte Carlo simulation-based method of network damage assessment presented here can provide a post-earthquake response decision support system for highway networks; Since the purpose of the present study is to demonstrate the efficacy of the Monte Carlo simulation method, numerical examples are performed under the conditions that only bridges are seismically vulnerable, bridge fragility curves are available, and knowledge of the state of network damage suffices for government agencies and emergency response profession to make decisions as to how search/rescue/medical teams and emergency repair crews can be dispatched and how food, potable water and other emergency supplies can be transported by an optimal use of the remaining network capacity. In this study, the spatial distribution of ground motion intensity is estimated deterministically in terms of peak ground acceleration (PGA). The spatial variation of PGA due to modeling and other sources of uncertainty is expected to have some effect on the final result. This issue is currently under study.

Proceedings Article | 20 April 2000 Paper

Application of electromagnetic waves in damage detection of concrete structures

Maria Feng, Franco De Flaviis, Yoo Kim, Rodolfo Diaz

Proceedings Volume 3988, (2000) https://doi.org/10.1117/12.383132

KEYWORDS: Dielectrics, Lens design, Reflection, Imaging technologies, Interfaces, Fiber reinforced polymers, Reflectometry, Waveguides, Composites, Electromagnetic radiation

Read Abstract +

Proceedings Article | 18 May 1999 Paper

Damage assessment of bridges with jacketed RC columns using vibration test

Maria Feng, Eun Bahng

Proceedings Volume 3671, (1999) https://doi.org/10.1117/12.348682

KEYWORDS: Bridges, Neural networks, Glasses, Composites, Carbon, Information operations, Earthquakes, Finite element methods, Optical inspection, Damage detection

Read Abstract +

Proceedings Article | 14 September 1994 Paper

Optical fiber sensors using vibration wires

Maria Feng, Hideyo Suzuki

Proceedings Volume 2360, (1994) https://doi.org/10.1117/12.185044

KEYWORDS: Sensors, Fiber optics sensors, Optical sensors, Optical fibers, Prototyping, Reliability, Head, Optical testing, Modulation, Optical fiber cables

Read Abstract +

Showing 5 of 32 publications

Conference Committee Involvement (6)

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

17 March 2025 | Vancouver, Canada

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security VII

10 March 2013 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security VI

12 March 2012 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security V

7 March 2011 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security III

9 March 2009 | San Diego, California, United States

Showing 5 of 6 Conference Committees

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years