Mattia Bacca
Associate Professor of Mechanical Engineering
Research Interests
Explore related searches
Contact this professor
Get a free first email built on one of their papers, ready for you to edit and send yourself.
About
Mattia Bacca is an Associate Professor of Mechanical Engineering at the University of British Columbia, Canada. His research focuses on behavioral biomechanics, cutting mechanics, and the mechanical properties of soft materials, with recent work involving machine learning applications and neurobiomechanics. He explores the interactions between toughness, friction, and wear in soft matter, contributing to advancements in understanding the viscoelastic properties of biological tissues.
Positions (1)
Mattia Bacca
University of British Columbia
A PhD position is available in the field of computational mechanics of soft solids at the University of British Columbia (UBC) in Vancouver, Canada. The research will focus on computational modeling of elastomers and biological tissues, with particular emphasis on understanding deformation, damage, and fracture in nonlinear solid materials. The successful candidate will join the group led by Associate Professor Mattia Bacca in the Department of Mechanical Engineering. Applicants should have a strong background in solid and continuum mechanics, experience with finite element modeling, and proficiency in scientific programming languages such as MATLAB or Python. Additional experience with nonlinear material modeling and fracture or damage mechanics is advantageous. Interested candidates are encouraged to contact Prof. Bacca directly for more information and to apply. The position offers an opportunity to work in a dynamic research environment at a leading Canadian university, with access to state-of-the-art computational resources and collaboration opportunities in the field of solid mechanics. Details about funding and application deadlines are not specified in the announcement. Candidates should review the attached PDF for further information and prepare their application materials accordingly.
Articles (15)
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Year:
2025
Year:
2024
Year:
2024
Year:
2024
Cytoskeletal gels are engineered prototypes that mimic the contractile behavior of a cell in vitro. They are composed of an active polymer matrix and a liquid solvent. Their contraction kinetics is governed by two dynamic phenomena: mechanotransduction (molecular motor activation) and solvent diffusion. In this paper, we solve the transient problem for the simple case of a thin gel slab in uniaxial contraction under two extreme conditions: motor-limited or slow motor (SM) activation regime, and diffusion-limited or fast motor (FM) activation regime. The former occurs when diffusion is much faster than mechanotransduction, while the latter occurs in the opposite case. We observe that in the SM regime, the contraction time scales as t/t0∼(λ/λ0)−3, with t0 being the nominal contraction time, and λ and λ0 being the final and initial stretches of the slab. t0 is proportional to 1/w˙, where w˙ is the average mechanical power generated by the molecular motors per unit reference (dry polymer) volume. In the FM regime, the contraction time scales as t/t1∼(1−λ/λ0)2, with t1 being the nominal contraction time, here proportional to the ratio L2/D, where L is the reference (dry polymer) thickness, and D is the diffusivity of the solvent in the gel. The transition between the SM and FM regimes is defined by a characteristic power density w˙∗, where w˙≪w˙∗ gives the SM regime and w˙≫w˙∗ gives the FM regime. Intuitively, w˙∗ is proportional to D/L2, where, at a given power density w˙, a thinner gel slab (smaller L) or including smaller solvent molecules (higher D) is more likely to be in the SM regime given that solvent diffusion will occur faster than motor activation.
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Year:
2022
Year:
2022
Year:
2021
Collaborators (2)
Pranav Shrestha
The University of British Columbia
Boris Stoeber
-
Make your next move.
Prepare your application
Review drafts before you send them.