Dr. Mariantonieta Gutierrez Soto Profile

Dr. Mariantonieta Gutierrez Soto

Assistant Professor at Pennsylvania State Univ

SPIE Involvement:

Conference Co-Chair | Author | Editor

Proceedings Article | 9 May 2024 Presentation + Paper

Robust control of friction-driven reconfigurable adaptive structures

Alejandro Palacio-Betancur, Adam Rácz, Mohammad Ali Maghsoudlourad, Viacheslav Slesarenko, Mariantonieta Gutierrez Soto

Proceedings Volume 12947, 129470F (2024) https://doi.org/10.1117/12.3010949

KEYWORDS: Actuators, Detection and tracking algorithms, Design, Algorithm development, Control systems, Motion measurement, Engineering, Switching, Reconfigurable computing, Robotic systems, Adaptive control, Adaptive embedded systems, Smart materials

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Traditional design methods for engineering applications aim to achieve optimal performance for specific conditions or moderate performance for a broader range of conditions. However, the optimal performance for a wide spectrum of situations can be facilitated if such systems possess reconfiguration capability. It can be illustrated in the example of structures with steerable joints, which is a popular approach in robotics. By rotating the joints to a different degree, a plethora of resulting configurations can be achieved – configurations that might be specifically suited for the required conditions. Systems based on these principles can be implemented on the macroscopic level in adaptive facades, on the mesoscopic level in mechanical metamechanisms, and at the microscopic level in microelectromechanical devices. In general, adaptive structures often require numerous actuators to facilitate a wide range of reachable configurations, leading to increasing energy demands as the system size increases. This can be seen in the case of robotics when each joint can be independently actively rotated to drive the motion corresponding to the specific degree of freedom. This paper analyzes an alternative situation, when the joins are semi-active and can exist only in either a locked or unlocked state, with only one (last joint) being actively steered. In the ideal case, the energy should be consumed only for switching between states, while maintaining the state should be free with locking achieved via switchable friction. While theoretically improving energy efficiency, such a system makes it much more challenging to control the resulting shape of the structure as compared with its counterpart with actively rotating joints. In this paper, we develop a motion planning algorithm to facilitate the achievement of the desired shape via control over the state of the joints and the position of the last link. In particular, the change of shape is performed by a sequence of single-degree- of-freedom motions determined by a motion planning algorithm based on Rapidly exploring Random Trees and sub-slider-crank systems (RRT-SC). One application of the proposed method is evaluated for reconfigurable building facades and paves the way for the next generation of structures in smart cities.

Proceedings Article | 22 March 2021 Presentation + Paper

Real-time damage identification of discrete structures via neural networks subjected to dynamic loading

Sajad Javadinasab Hormozabad, Mariantonieta Gutierrez Soto

Proceedings Volume 11593, 115932O (2021) https://doi.org/10.1117/12.2582482

KEYWORDS: Neural networks, Buildings, Damage detection, Binary data, Neurons, Smart structures, Machine learning, Data modeling, Data acquisition, Artificial neural networks

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Proceedings Article | 18 May 2020 Presentation + Paper

Aerodynamic mitigation of origami-inspired building structures subjected to hurricane wind loads

Christopher Wheatley, Morgan Baumann, Mariantonieta Gutierrez Soto

Proceedings Volume 11377, 1137708 (2020) https://doi.org/10.1117/12.2558972

KEYWORDS: Aerodynamics, Shape memory alloys, Wind measurement, Actuators, Turbulence, 3D modeling, Earthquakes, Additive manufacturing

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Proceedings Article | 18 May 2020 Presentation + Paper

Investigation on the relationship between wave propagation speed and vibration frequency in concrete floors using nonlinear regression model

M. Royvaran, S. Javadinasab Hormozabad, M. Gutierrez Soto, B. Davis

Proceedings Volume 11382, 113820J (2020) https://doi.org/10.1117/12.2558921

KEYWORDS: Wave propagation, Source localization, Mathematical modeling, Civil engineering, Data modeling, Time metrology, Navigation systems

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Proceedings Article | 27 March 2019 Presentation + Paper

Towards resilient adaptive origami-inspired diagrid building envelope

Amanda Bellamy, Jonathan Boustani, Christoph Brehm, Mariantonieta Gutierrez Soto

Proceedings Volume 10967, 1096713 (2019) https://doi.org/10.1117/12.2514132

KEYWORDS: Smart structures, Buildings, Natural disasters, Actuators, Control systems, Wind energy, Cladding, Energy efficiency, Chemical elements, Skin, Civil engineering, Visualization

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Proceedings Article | 13 March 2019 Presentation + Paper

Biomimicry of school of fish for community windstorm design

Brandon Enbody, Mariantonieta Gutierrez Soto

Proceedings Volume 10965, 109650A (2019) https://doi.org/10.1117/12.2514133

KEYWORDS: Biomimetics, Organisms, Aerodynamics, Skin, Oceanography, Microfluidics, Natural disasters, Safety, Wind measurement, Water

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Proceedings Article | 15 March 2018 Presentation + Paper

Bio-inspired hybrid vibration control methodology for intelligent isolated bridge structures

Mariantonieta Gutierrez Soto

Proceedings Volume 10595, 1059511 (2018) https://doi.org/10.1117/12.2300393

KEYWORDS: Bridges, Control systems, Earthquakes, Vibration control, Biomimetics, Optimization (mathematics), Sensors, Electroluminescence, Patents, Matrices

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