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The Dynamics of a Collapsing Set of Blocks

Submitted by oliver oreilly on

While stacked objects are ubiquitous, there are few works devoted to modeling their dynamics. In a new paper “On the Dynamics of a Collapsing Stack of Blocks”, coauthored with Theresa Honein we use a generalized alpha numerical method developed by Capobianco et al [1] to simulate the collapse. The examples we consider include the Leaning Tower of Lyre and the collapse of a stack of blocks that is produced by harmonic excitation of a foundation.

 

Research Fellow position in Computational Fluid-Structure Interaction

Submitted by chenna on

We are hiring for the position of a research fellow in computational fluid-structure interaction.

As the research fellow, you will work on the MAPFSI project funded by the EPSRC, developing cutting-edge computational algorithms for challenging FSI problems.

Call for Papers ASME IMECE 2025 - Cold Spray, Thermal Spray, and Aerosol Deposition: Fundamentals and Applications (Topic 03-06)

Submitted by behrad_koohbor on

 

We are hosting a symposium on Cold Spray, Thermal Spray, and Aerosol Deposition: Fundamentals and Applications (Topic 03-06) with Dr. Ozan Ç. Özdemir, Dr. Tristan Bacha, and Dr. Abul Fazal Arif for the 2025 ASME International Mechanical Engineering Congress and Exposition (IMECE).

If you work in these areas, please consider submitting a 400-650 word abstract by March 4, 2025. Author notification of abstract acceptance is April 1, 2025.

Multiple funded (Direct) PhD positions at the University of Western Ontario, Canada

Submitted by HamidAbdolvand on

We have multiple (Direct) PhD positions in the field of micromechanics of metals and alloys. Our research focuses on the finite element modelling and diffraction-based characterization of deformation and fracture of polycrystalline materials. Currently our research themes include:

A convex variational principle for the necessary conditions of classical optimal control

Submitted by Amit Acharya on

Amit Acharya        Janusz Ginster

A scheme for generating a family of convex variational principles is developed, the Euler-Lagrange equations of each member of the family formally corresponding to the necessary conditions of optimal control of a given system of ordinary differential equations (ODE) in a well-defined sense. The scheme is applied to the Quadratic-Quadratic Regulator problem for which an explicit form of the functional is derived, and existence of minimizers of the variational principle is rigorously shown. It is shown that the Linear-Quadratic Regulator problem with time-dependent forcing can be solved within the formalism without requiring any nonlinear considerations, in contrast to the use of a Riccati system in the classical methodology.

Our work demonstrates a pathway for solving nonlinear control problems via convex optimization.