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New deep energy method models thermo-mechanical crack propagation

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Researchers have developed an extended deep energy method to simulate thermo-mechanical crack propagation, a complex phenomenon involving coupled heat conduction and crack growth. This new method uses two neural networks to model temperature and displacement, with the crack represented by a scalar embedding function. The approach incorporates Williams' expansion for displacement near the crack tip and Monte Carlo integration for energy calculations. The method's accuracy has been validated against existing solutions for various crack scenarios, showing strong agreement. AI

RANK_REASON The cluster contains a research paper detailing a new computational method. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New deep energy method models thermo-mechanical crack propagation

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The cluster contains a research paper detailing a new computational method. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Han Zhang, Mehrisadat Makki Alamdari, Babak Shahbodagh, Mohammad Vahab, Cosmin Anitescu, Timon Rabczuk, Elena Atroshchenko ·

    An extended deep energy method for thermo-mechanical crack propagation

    arXiv:2610.09433v1 Announce Type: new Abstract: Thermo-mechanical fracture couples transient heat conduction on a cracked domain with a crack that grows as the temperature and the displacement evolve. Neural energy solvers have been proposed for phase-field fracture and later ext…

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