Research

Overview of the research and methodology

The advancement in the manufacturing of smart morphing structures and soft materials opens the door to designing engineering structures and robots of unconventional functionality. The smart morphing structures can have significant impact when we are thinking of building more efficient ocean renewable energy systems, designing soft robots to accomplish preprogrammed tasks etc. 


However, understanding and utilizing the interactions between these structures and environment (e.g. fluids) requires techniques beyond traditional analysis tools.


The research tools and methodology of our group are succinctly represented by,

New research projects and directions at ASU

Ongoing research projects

Smart offshore aquaculture systems

Github

Link

Soft bistable wave energy harvester

Github

Youtube

Representative past projects

Machine learning-aided design of soft structures and robots  

Background:


Shape morphing structures that spontaneously transition from planar to 3D shapes are transformative technologies with broad applications in soft robotics and deployable systems. ​ Can we design soft structures and robots of target mechanical properties using planar fabrication technologies? This task is challenging, typically requiring complex local fabrication and actuation processes and a computationally intensive high-dimensional search to obtain desired mechanical properties.

Our unique contribution:

For the first time, we demonstrate the capability of planar fabrication in designing arbitrary target shapes using around 100 iterations. This reduces the computational cost from years to a few hours. The designed structures are applied for building grippers and bio-inspired robots.

Reference: 

[1] Leixin Ma, Mrunmayi Mungekar, Vwani Roychowdhury, Jawed M.K. "Rapid design of fully soft deployable structures via kirigami cuts and active learning''. Submitted to Proceedings of the National Academy of Sciences.

[2] Mrunmayi Mungekar, Leixin Ma, Jawed M.K., Vwani Roychowdhury. 2023. "Design of bistable soft deployable structures via a Kirigami-inspired planar fabrication approach''. Accepted by Advanced Materials Technologies. 

Physics-consistent data-driven approach for Understanding flexible cylinder flow-induced vibration 

Background:

Vortex-induced vibration (VIV) of long flexible cylinders involves a large number of physical variables, such as Strouhal number, Reynolds number, and damping. Due to the nonlinearity and high-dimensionality of the problem, current VIV prediction models have large error bounds, and require selection of input parameters without knowing which ones are most important. How can we leverage the development of machine learning and AI to improve the prediction accuracy and our understanding towards the nonlinear VIV problems? 

Our unique contribution:

A prior-knowledge-based, trend-constrained, machine learning technique is developed for the purpose of identifying those physical parameters which are most useful in the prediction of the VIV of flexible cylinders. We build on top of the prior knowledge obtained from physics-based modeling. For the first time, we reveal the important structural vibration features for flexible cylinder vibration and fatigue damage under fluid flows, such as the importance of traveling wave and multi-mode participation.

Reference: 

[1] Ma L. Resvanis T., Vandiver J.K. 2022. “Understanding the higher harmonics of vortex-induced vibration response using a physics-constrained, data-driven approach”. Marine Structures 

[2] Ma L. 2022. “Interpretable machine learning for insight extraction from rigid cylinder flow-induced vibration phenomena. ”Applied Ocean Research 

[3] Ma L. Resvanis T., Vandiver J.K., 2020. “A weighted sparse-input neural network technique applied to identify important features for vortex-induced vibration” AAAI Spring Symposium.

Revealing the importance of structural dynamic properties in controlling fluid-structure interactions

Background:


Soft and flexible structures have infinite degrees of freedom and mechanical nonlinearities. Even a slight change in tension may dramatically vary its interactions with fluid flows. You may wonder "Does more tension reduce flow-induced vibration?" "Why does adding damping not always helpful in reducing the peak vibration amplitude?"


Our unique contribution:


Based on power-flow analysis of elastic waves, our study reveals how damping shapes the global vortex-induced vibration (VIV) response of flexible cylinders. Global behavior may vary from full-length standing waves to traveling waves on infinite cylinders. Structural damping rules the standing wave case whereas radiation damping regulates VIV response on very long cylinders. A single scalar equation expresses the balance of power flowing through the structure. Our research answers decades year of mystry in observations from field experiments. 

Reference: 

[1] Vandiver J.K., Ma L., Rao Z., 2018. ''Revealing the effects of damping on the flow-induced vibration of flexible cylinders''. Journal of Sound and Vibration. Volume 433, 29-54.

[2] Vandiver J.K., Ma L., 2017. ''Does more tension reduce VIV?'' International Conference on Ocean, Offshore & Arctic Engineering. OMAE

Investigation into the fluid-structure interaction of flexible fish cages using a hybrid experimental and numerical approach

Background:


Because of the increasing demand for food and the limited supply from land-based food sources, aquaculture is gradually moving from nearshore locations to more exposed open-water locations. The harsh environment in the open ocean places greater stresses on the fish cages used in aquaculture. Fish-farming structures exhibit hydroelastic behavior when subjected to waves and currents. Therefore, accurate predictions of the hydroelastic response of fish cages are of critical importance. However, because of scale effects and inappropriate hydrodynamic models, the nonlinear hydroelastic response of net cages used for fish-farming cannot be analyzed precisely with traditional model testing or combinations of finite element methods (FEMs) and load models.  

 

Our unique contribution:


In this study, an innovative hybrid method is proposed to determine the hydroelastic response of full-scale floater-and-net systems more accurately. In this method, the net for the fish cage was vertically and peripherally divided into similar interconnected sections with different hydrodynamic parameters. A model of a typical section was subjected to various towing velocities, oscillation periods, and amplitudes in a towing tank to simulate the potential motions of all sections in the net under various currents, waves, and floater movements. By analyzing the measured hydrodynamic force from this test section, a hydrodynamic force database for a typical net section under various currents, waves, and floater motions was built. Finally, based on an FEM, the modified Morison equation and the hydrodynamic force database, the hydroelastic behavior of the full-scale fish cage was calculated with an iterative scheme. It is demonstrated that this hybrid method is able to produce correct hydroelastic response for both steady and oscillatory flows. 

Reference: 

[1] Ma L.,  Fu S., Moan T., Li R., 2016. ''A hybrid empirical-numerical method for hydroelastic analysis of a floater-and-net system''. Journal of Ship Research. 60(1), 14-29.

[2] Hu K., Fu S., Ma L., Song L., 2016. ''Nonlinear hydrodynamics of a floating cylinder in oscillatory flow alone and combined with a current''. Journal of Waterway, Port, Coastal, and Ocean Engineering. 04016015